Vehicle Detection and Tracking in Video from Moving Airborne Platform

Size: px
Start display at page:

Download "Vehicle Detection and Tracking in Video from Moving Airborne Platform"

Transcription

1 Journal of Computatonal Informaton Systems 10: 12 (2014) Avalable at Vehcle Detecton and Trackng n Vdeo from Movng Arborne Platform Lye ZHANG 1,2,, Hua WANG 3, L LI 2 1 School of Traffc and Transportaton Engneerng, Changsha Unversty of Scence and Technology, Changsha , Chna 2 School of Economcs and Management, Tongj Unversty, Shangha , Chna 3 School of Transportaton Engneerng, Tongj Unversty, Shangha , Chna Abstract Vehcle detecton and trackng s one challenge n collectng vehcle trajectores from Unmanned Aeral Vehcle (UAV). When the feature pont cannot be well tracked because of the low qualty of the vdeo, many current algorthms do not work well. To solve ths problem, a vehcle detecton and trackng method was proposed wth enhancements based on prevous studes n several aspects: (1) an accurate vehcle boundary detecton method usng random walker segmentaton to mprove vehcle poston accuracy, (2) a quck partcle flter vehcle trackng method to handle pont feature trackng low qualty problem. To test the performance of the proposed method, two feld experments have been conducted. The detecton and trackng rates of these experments are 88% and 90% respectvely, whch s hgher than the prevous algorthm. Keywords: Vehcle Trajectory; Vehcle Detecton; Partcle Flter Trackng; Unmanned Aeral Vehcle; Random Walker 1 Background Vehcle trajectory data s the ultmate emprcal data to nvestgate drvng behavor. A wde range of vehcle trajectory data collecton methods have been developed usng sensng technologes ncludng aeral photography, vdeo, mcrowaves and the Global Postonng System [1]. Amount those method, traffc cameras mounted on arborne platform (e.g., helcopters) has been consdered to be a promsng method [2]. Compared wth vdeo cameras mounted on traffc lghts or poles, arborne camera could cover large road extent and flexble to employ, whch could capture the hgh-resoluton spatal-temporal traffc nformaton. Project supported by the Natonal Hgh Technology Research and Development Program of Chna (No. 2009AA11Z220). Correspondng author. Emal address: (Lye ZHANG) / Copyrght 2014 Bnary Informaton Press DOI: /jcs9729 June 15, 2014

2 4966 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) Vehcle detecton and trackng s one challenge n usng arborne platform for traffc nformaton collecton, because of the moton of both camera and the platform. Wth the advances of computer vson technology, several vehcle detecton and trackng methods are developed to extract vehcle trajectory for traffc flow study [2, 3], traffc flow montorng [4, 5] or traffc ncdent detecton [6]. In the feld of computer vson, several methods have been proposed to enhance vehcle detecton and trackng, whch are sutable for specfc scenaro. When the feature pont cannot be well tracked (e.g., very few feature ponts on a vehcle could be tracked correctly), because of the low qualty of the vdeo, many current algorthms do not work well. Furthermore, n order to get the accurate traffc nformaton vehcle boundary should be detected accurately durng vehcle detecton, whch s neglected n most of the current studes. So, the research ams of the paper s to develop a vehcle detecton and trackng method for arborne vdeo n whch feature pont trackng qualty s low, whch can detect the vehcle boundary precsely. The remander of the paper s organzed as follows. Secton 2 provdes a bref summary of the relevant works. Followng ths, the detals of the vehcle detecton and trackng algorthm s fully descrbed. In order to evaluate the performance of the proposed algorthm, feld experments were conducted, and detals of the results are descrbed n Secton 4. Fnally, conclusons and recommendatons for future work are presented. 2 Lterature Revew In the past decades, many vehcle detecton and trackng algorthms have been studed for arborne vdeo processng. Although some of the challenges stll exst, the technologes avalable today allow researchers to overcome many of them. Hoogendoorn et al. [3] proposed a method of detectng vehcles by comparng pxel values n a pcture wth the medan value of that pxel over tme. A detecton rate of 94% s clamed for a feld experment under normal weather condton. Ths method works well for geo-statc helcopter, but not sutable for crusng one. A smlar methodology was stated by Angel and Hckman [5]. Intensty was compared and a concentraton of devatng pxels s marked as a vehcle. The man problem ndcated here was n matchng vehcles, wth a matchng percentage of about 90% reported [5]. Ths method would not be vald for statc vehcles detecton. Shastry and Schowengerdt proposed a smlar computer vson system, whch uses a robust vdeo-regstraton method to correctng for arborne platform moton [7]. The estmated parameters are wthn 10% of manual measurements. Dfferent from [3, 5], Knoop proposed a new method to process arborne vdeo data [2]. The vdeo data are transformed so that the trajectores of the vehcles become vsble n a sngle mage, n whch trajectores can be found by detectng lnes. Wth ths method, about 95% of the trajectores are detected correctly. One constran of ths method s that only one lane could be processed n a longtudnal cross-secton mage [2]. Many studes on UAV vdeo processng have been reported. Renartz and Lachase proposed an UAV vdeo processng algorthm usng dgtal road database to mprove the performance [8]. Cao [9] proposed a vehcle detecton and trackng method based on mult-moton layer analyss, whch works well when pont features could be well-tracked. In [10], a vehcle detecton method usng dynamc Bayesan networks was proposed. Ths method should be properly traned before deployment. Most of these methods just detect vehcles boundary roughly whch s not meet the need for precse vehcle poston and vehcle sze detecton.

3 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) In a word, there s no vehcle detecton and trackng method whch works well n most of the scenaros and vehcle detecton and trackng s stll a challenge n vdeo processng. It s meanngful to study the robust vehcle detecton and tracng method for low qualty vdeo from crusng arborne platform, whch can detect the precse vehcle boundary. 3 Vehcle Detecton and Trackng Method Vehcle detecton and trackng n vdeo from movng UAV s a challengng. Some methods are only sutable for geo-statc UAV [3], and some s dffcult to process multple lanes [2]. In our prevous study [6], we proposed a vdeo processng method. But when the vbraton of the UAV s serous and the vdeo qualty s low, the vehcle trackng method does not work well. Furthermore, n order to get accurate vehcle trajectory and vehcle sze, vehcle boundary should be detected precsely. To resolve these problems, a new method s proposed, whch s mproved n the follow aspects. Frst, a new vehcle boundary detecton method usng random walker segmentaton was adopted to mprove the accuracy of vehcle poston and sze. Second, a quck partcle flter method was proposed for vehcle trackng, whch can track vehcles even n low qualty vdeo. The process s llustrated n Fg. 1 and the mentoned mprovements are descrbed n follow sectons. Fg. 1: Flow chart of vdeo processng method 3.1 Robust mage regstraton Image regstraton s crucal for arborne vdeo processng, whch could elmnate the moton of the camera. Many algorthms have been proposed, such as the block based algorthms [11] and feature pont based algorthms [7]. Snce only the feature ponts not located on movng vehcles

4 4968 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) could be used for mage regstraton, a wndow-szng method s adopted n [7]. One constran of ths method s that the wndows sze should be set properly by users. In ths paper, we use an mage regstraton algorthm smlar to the one proposed n [7]. We use SURF (Speeded-Up Robust Features) algorthm for feature pont trackng [12] and adopted a cluster method to select feature ponts not on movng vehcles. The algorthm s as followng: Input Two consequent gray mage I and I +1. Output The wrapped mage I T. Step 1 Fetch two consequent mage I and I +1 from vdeo. Step 2 Get tracked feature ponts between I and I +1, noted as P and P +1 respectvely. Where N s the number of feature ponts tracked. P = {p 1, p 2,...p N } (1) P +1 = {p +1 1, p 2 +1,...p N +1} (2) Step 3 Calculate movement of all trackng feature ponts V ; Select feature ponts on background of I and I +1 accordng to V, noted as P B and P+1. B Note feature ponts on movng objects n I and I +1 as P F and P+1 F respectvely. P B and P+1 B should fulfll the followng equaton, { P B P F =, P+1 B P F Step 4 Transform P B P B +1 = (3) P F = P, P+1 B P+1 F = P +1 usng the prevous transformaton matrx T 1 noted as P T B. Step 5 Calculate transformaton matrx T usng K correspondences between P B K < N. and P B +1, where Step 6 Rank K control ponts accordng to the error and select K/2 control pont correspondences to calculate the transformaton matrx T. Step 7 Obtan the warp mage I T by applyng the fnal transformaton to I. Fg. 2 s the examples of mage subtractons of two regstered mages, whch show mprovement of the new method compared wth the one n our prevous study [6]. (a) Input mage (b) Prevous regstraton of mage (c) Improved regstraton of mage Fg. 2: Image regstraton effect

5 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) Vehcle detecton based on random walker theory Movng vehcle and statc vehcle are usually detected wth dfferent methods. In [13] and [5], movng vehcles are detected by consequental referenced mages subtracton, whle statc vehcle s not consdered. Hoogendoorn proposed a method to detect vehcle by analyzng the dfference between current mage and the background mage, whch s estmated based on the mage ntensty varaton analyss of the same poston [3]. Ths method would not be sutable for the crusng UAV, because of the dffculty of the background mage estmaton. In our prevous study, we use mage segmentaton to detect both statc and movng vehcles and use consequental referenced mage subtracton to detect movng vehcle [6]. In ths study, we adopted random walker algorthm to detect the precse vehcle boundary, whch wll mprove the accuracy of vehcle sze and poston. Random walker algorthm has been used for sem-automatc mage segmentaton n medcal mage processng [14]. It performs well for mage segmentaton, but manually labelng needed constrans ts applcaton for automatc segmentaton. In ths study, we used the subtracton result of two regstered mages as mage label for vehcle and coarse selecton area boundary as background label, whch resolves the automatc labelng problem. The experments show that ths novel algorthm could detecton the vehcle bound precsely, whch has never been reported. The algorthm s as followng: Input Two consequent mage I and I +1, where I s the th mage from vdeo and I +1 s the regstered mage of I +1 to I. Output Vehcle set detected n mage I, noted as V. Step1 Calculate the dfference mage of I and I +1. D = D (j, k), D (j, k) = { 1 I (j, k) I +1(j, k) δ 0 I (j, k) I +1(j, k) < δ (4) Where D s the dfference mage, D (j, k) s the pxel value of D at coordnate (j, k), I (j, k) and I +1(j, k) are the pxel values at poston (j, k) n mage I and I +1, and δ s the threshold value. Step 2 Create D usng morphologcal operatons on D to remove noses. Step 3 Detect blobs of vehcle canddate n I noted as B fne. Set the areas a lttle bgger than the vehcle canddate area as the coarse selecton area and note t as B coarse Step 4 Determne the seed area for background. b coarse j th vehcle n I ; bs coarse b coarse by,. (j) s the coarse selecton rectangle of the (j) s the rectangle whose wdth and heght s m pxels smaller than (j) s determned (j), whle m s set to 3 n ths paper. The background seed area b back b back (j) = b coarse (j) bs coarse (j). (5)

6 4970 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) Step 5 Vehcle fne detecton usng random walker algorthm. Set B fne as the vehcle area seed and b back (j) as background area seed and used the random walker algorthm as mentoned n [14] to detect the precse boundary of the vehcle noted as V movng. Step 6 Detect all vehcles V all n I usng mage segmentaton algorthms wthn road area accordng to the road surface color. Step 7 Determne all the vehcles n I. V S movng V statc = V all = {v movng v movng V movng V = V statc V movng V S movng (6) v movng V all } (7) (8) Where V S movng s the vehcles whch s movng vehcles detected n Step 5 and also detected n Step 6, and V s the vehcle set ncludng both statc vehcle and movng vehcle n I. Fg. 3(a) s one example of the vehcle boundary detecton results usng ths method, n whch the vehcles boundares ft the vehcles qute well. 3.3 Vehcle trackng method usng fast partcle fler method Vehcle trackng for arborne vdeo s a challengng problem due to frame-to-frame jtter caused by camera movement. At present, there are few attempts to deal wth multple vehcles trackng problem for arborne vdeo [15]. Partcle flter s used for vehcle trackng, whch shown to be robust. But the drawback of ths method s the hgh computatonal complexty, because the search area n the matchng process s too large. In ths paper we propose a quck partcle flter algorthm usng the searchng area constrant strategy. The man dea s to generate and move partcles only n the vehcle coarse selecton area near the predcted vehcle poston. The algorthm s as followng: Input Two consequent mage I and I +1, the poston of the tracked vehcle n I 1 and I whch s used for vehcle poston predcton n I +1 and the detected vehcle V and V +1. Output Updated vehcle trackng data set. Step 1 Predct the vehcle poston by Kalman flter, of whch the detals could be found n [17]. In the frst two frames, vehcle move speed s predefned by users. Step 2 Fnd the detected vehcle coarse selecton areas near predcted poston n I +1. Step 3 Generate partcles n selected coarse selecton areas B coarse Step 4 Move partcles wthn selected areas. defned n last secton. Step 5 Update the weght of the partcles usng hstogram matchng based algorthm. Step 6 Re-sample the partcles wthn selected areas. Fg. 3(b) shows the partcles after 3 teratons n vehcle coarse selecton areas to track vehcle 3 n Fg. 3(a). As show n Fg. 3(b), 18 partcles located n the area near vehcle 3 whch s the most, whle only 1 partcle locates n area near red vehcle whch s qute dfferent to vehcle 3 n color. Also, the best partcle marked wth small red rectangle wth label 18 n Fg. 3(b) shows that vehcle 3 s tracked correctly.

7 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) (a) Precse vehcle boundary detecton 4971 (b) Partcles after three teratons Fg. 3: Vehcle detecton and trackng 4 Performance Evaluaton The algorthms proposed n ths paper are mplemented and ntegrated nto the software TIEP1.0 (Traffic Informaton Extracton Platform for UAV Data), whch was developed based on the computer vson system n our prevous study [6]. TIEP s developed based on the open source GIS platform QGIS (http://www.qgs.org). TIEP are mplemented usng python and C++. It can process arborne vdeo and extract vehcle trajectory n real world coordnates. The UAV used n the experment s the same one as n our prevous study [6]. Two experments for geo-statc UAV were conducted n July, To test the performance on the dense traffic hghway, Experment 1 was conducted on Caoan hghway n suburban area of Shangha, Chna. The data collected nclude arborne vdeo, UAV flght data, vehcle trajectores recorded by GPS and ODB-II frames were selected from the vdeo to test the proposed algorthm. To test the performance of the algorthm for vdeo from crusng UAV on low volume road, experment 2 was conducted on a four-lane expressway n Shnkang, Chna. The vdeo data was collected n February 2012 wth a crusng UAV, travelng about 8 klometers n ths experment. Twelve nstrumental vehcles travellng along the road were used whch are labeled wth colorfully rectangle on top of each vehcle. 500 frames were selected from the vdeo for testng purpose. Accordng to the experments, the detecton and trackng rate of the vdeo processng method presented n ths paper are 88% and 90% for experment 1 and 2, respectvely. They are hgher than the detecton and trackng rates of the method presented n [6] whch are 85% and 86% for the same data sets. 5 Summary and Concluson A vehcle detecton and trackng method s proposed to process arborne vdeo collected from UAV. To test the performance of ths method, two field experments were conducted. For the two data sets, the detecton and trackng rates of the new method are 88% and 90% whch are hgher than that of the method presented n [6], whch are 85% and 86%. The contrbutons of ths paper nclude the followng. Frst, a new computer vson system s enhanced based on our prevous study [6] n several aspects: (1) a novel accurate vehcle boundary

8 4972 L. Zhang et al. /Journal of Computatonal Informaton Systems 10: 12 (2014) detecton method based on random walker to mprove vehcle sze and poston accuracy, (2) feature pont trackng method n our prevous study has been replaced wth a quck partcle flter vehcle trackng method whch can work robustly when the feature trackng qualty s not good. The operaton cost of UAV s low and can be deployed easly and quckly. Although, processng arborne vdeo s stll a challengng problem, the rapd development of computer vson wll supply more robust and accurate algorthms. Future research s amed at mprovng the approach. References [1] Toledo T, Koutsopoulos H N, Ahmed K I, Estmaton of vehcle trajectores wth locally weghted regresson. Transportaton Research Record: Journal of the Transportaton Research Board, 2007, 1999: [2] Knoop V L, Hoogendoorn S P, van Zuylen H J. Processng traffc data collected by remote sensng [J]. Transportaton Research Record: Journal of the Transportaton Research Board, 2009, 2129: [3] Hoogendoorn S P, Van Zuylen H J, Schreuder M, et al. Mcroscopc traffc data collecton by remote sensng [J]. Transportaton Research Record: Journal of the Transportaton Research Board, 2003, 1855: [4] Cofman B, Mccord M, Mshalan R, et al. Roadway traffc montorng from an unmanned aeral vehcle [J]. IEE Journal on Intellgent Transport Systems, 2006, 1 (153): [5] Angel A, Hckman M, Mrchandan P, et al. Methods of analyzng traffc magery collected from aeral platforms [J]. IEEE Transactons on Intellgent Transportaton Systems, 2003, 4 (2): [6] Zhang L, Peng Z, Sun D J, Lu Xao-feng. A UAV-based automatc traffc ncdent detecton system for low volume roads [C]. 92rd Annual Meetng of the Transportaton Research Board, Washngton, D.C., [7] Shastry A C, Schowengerdt R A. Arborne vdeo regstraton and traffc-flow parameter estmaton [J]. IEEE Transactons on Intellgent Transportaton Systems, 2005, 6 (4): [8] Renartz P, Lachase M, Schmeer E, et al. Traffc montorng wth seral mages from arborne cameras [J]. ISPRS Journal of Photogrammetry and Remote Sensng, 2006, 61 (3): [9] Cao X, Lan J, Yan P, et al. Vehcle detecton and trackng n arborne vdeos by mult-moton layer analyss [J]. Machne Vson and Applcatons, 2010, 23 (5): [10] Cheng H, Weng C, Chen Y. Vehcle detecton n aeral survellance usng dynamc bayesan networks [J]. IEEE Transactons on Image Processng, 2011, 4 (21): [11] Pugls G, Battato S. A robust mage algnment algorthm for vdeo stablzaton purposes [J]. IEEE Transactons on Crcuts and Systems for Vdeo Technology, 2011, 21 (10): [12] Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features (SURF) [J]. Computer Vson and Image Understandng, 2008, 110 (3): [13] Luo X, Wu Y, Huang Y, et al. Vehcle flow detecton n real-tme arborne traffc survellance system [J]. Transactons of the Insttute of Measurement and Control, 2011, 33 (7): [14] Grady L. Random walks for mage segmentaton [J]. IEEE Transactons on Pattern Analyss and Machne Intellgence, 2006, 28 (11): [15] Jones R, Rstc B, Reddng N J, et al. Movng target ndcaton and trackng from movng sensors [C]. Dgtal Image Computng: Technques and Applcaton. Queensland, 2005: [16] Cao X B, Sh Z R, Yan P K, et al. Trackng vehcles as groups n arborne vdeos [J]. Neurocomputng, 2013, 99:

A Multi-mode Image Tracking System Based on Distributed Fusion

A Multi-mode Image Tracking System Based on Distributed Fusion A Mult-mode Image Tracng System Based on Dstrbuted Fuson Ln zheng Chongzhao Han Dongguang Zuo Hongsen Yan School of Electroncs & nformaton engneerng, X an Jaotong Unversty X an, Shaanx, Chna Lnzheng@malst.xjtu.edu.cn

More information

CONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE DISTRIBUTED VIDEO SURVEILLANCESYSTEM

CONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE DISTRIBUTED VIDEO SURVEILLANCESYSTEM Internatonal Research Journal of Appled and Basc Scences 2013 Avalable onlne at www.rjabs.com ISSN 2251-838X / Vol, 4 (12):3658-3663 Scence Explorer Publcatons CONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE

More information

A Suspect Vehicle Tracking System Based on Video

A Suspect Vehicle Tracking System Based on Video 3rd Internatonal Conference on Multmeda Technology ICMT 2013) A Suspect Vehcle Trackng System Based on Vdeo Yad Chen 1, Tuo Wang Abstract. Vdeo survellance systems are wdely used n securty feld. The large

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement

An Enhanced Super-Resolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement An Enhanced Super-Resoluton System wth Improved Image Regstraton, Automatc Image Selecton, and Image Enhancement Yu-Chuan Kuo ( ), Chen-Yu Chen ( ), and Chou-Shann Fuh ( ) Department of Computer Scence

More information

VEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM

VEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM IJRET: Internatonal Journal of Research n Engneerng and Technology eissn: 2319-1163 pissn: 2321-7308 VEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM Yogn Ashokrao Kanhegaonkar 1, Jagtap Rupal

More information

Forecasting the Direction and Strength of Stock Market Movement

Forecasting the Direction and Strength of Stock Market Movement Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems

More information

A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking

A Multi-Camera System on PC-Cluster for Real-time 3-D Tracking The 23 rd Conference of the Mechancal Engneerng Network of Thaland November 4 7, 2009, Chang Ma A Mult-Camera System on PC-Cluster for Real-tme 3-D Trackng Vboon Sangveraphunsr*, Krtsana Uttamang, and

More information

An interactive system for structure-based ASCII art creation

An interactive system for structure-based ASCII art creation An nteractve system for structure-based ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract Non-Photorealstc Renderng (NPR), whose am

More information

Human Tracking by Fast Mean Shift Mode Seeking

Human Tracking by Fast Mean Shift Mode Seeking JOURAL OF MULTIMEDIA, VOL. 1, O. 1, APRIL 2006 1 Human Trackng by Fast Mean Shft Mode Seekng [10 font sze blank 1] [10 font sze blank 2] C. Belezna Advanced Computer Vson GmbH - ACV, Venna, Austra Emal:

More information

Detecting Global Motion Patterns in Complex Videos

Detecting Global Motion Patterns in Complex Videos Detectng Global Moton Patterns n Complex Vdeos Mn Hu, Saad Al, Mubarak Shah Computer Vson Lab, Unversty of Central Florda {mhu,sal,shah}@eecs.ucf.edu Abstract Learnng domnant moton patterns or actvtes

More information

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION Vson Mouse Saurabh Sarkar a* a Unversty of Cncnnat, Cncnnat, USA ABSTRACT The report dscusses a vson based approach towards trackng of eyes and fngers. The report descrbes the process of locatng the possble

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching)

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching) Face Recognton Problem Face Verfcaton Problem Face Verfcaton (1:1 matchng) Querymage face query Face Recognton (1:N matchng) database Applcaton: Access Control www.vsage.com www.vsoncs.com Bometrc Authentcaton

More information

Shadow Elimination Method for Video Surveillance

Shadow Elimination Method for Video Surveillance Vol 3, No 7 Modern Appled Scence Shadow Elmnaton Method for Vdeo Survellance Huaqang Lu Department of Physcs Lny Normal Unversty Lny 276005, Chna E-mal: huaqang1019@163com Feng Guo College of Engneerng

More information

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

More information

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features On-Lne Fault Detecton n Wnd Turbne Transmsson System usng Adaptve Flter and Robust Statstcal Features Ruoyu L Remote Dagnostcs Center SKF USA Inc. 3443 N. Sam Houston Pkwy., Houston TX 77086 Emal: ruoyu.l@skf.com

More information

A machine vision approach for detecting and inspecting circular parts

A machine vision approach for detecting and inspecting circular parts A machne vson approach for detectng and nspectng crcular parts Du-Mng Tsa Machne Vson Lab. Department of Industral Engneerng and Management Yuan-Ze Unversty, Chung-L, Tawan, R.O.C. E-mal: edmtsa@saturn.yzu.edu.tw

More information

Vehicle Detection, Classification and Position Estimation based on Monocular Video Data during Night-time

Vehicle Detection, Classification and Position Estimation based on Monocular Video Data during Night-time Vehcle Detecton, Classfcaton and Poston Estmaton based on Monocular Vdeo Data durng Nght-tme Jonas Frl, Marko H. Hoerter, Martn Lauer and Chrstoph Stller Keywords: Automotve Lghtng, Lght-based Drver Assstance,

More information

Gender Classification for Real-Time Audience Analysis System

Gender Classification for Real-Time Audience Analysis System Gender Classfcaton for Real-Tme Audence Analyss System Vladmr Khryashchev, Lev Shmaglt, Andrey Shemyakov, Anton Lebedev Yaroslavl State Unversty Yaroslavl, Russa vhr@yandex.ru, shmaglt_lev@yahoo.com, andrey.shemakov@gmal.com,

More information

Single and multiple stage classifiers implementing logistic discrimination

Single and multiple stage classifiers implementing logistic discrimination Sngle and multple stage classfers mplementng logstc dscrmnaton Hélo Radke Bttencourt 1 Dens Alter de Olvera Moraes 2 Vctor Haertel 2 1 Pontfíca Unversdade Católca do Ro Grande do Sul - PUCRS Av. Ipranga,

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

Aryabhata s Root Extraction Methods. Abhishek Parakh Louisiana State University Aug 31 st 2006

Aryabhata s Root Extraction Methods. Abhishek Parakh Louisiana State University Aug 31 st 2006 Aryabhata s Root Extracton Methods Abhshek Parakh Lousana State Unversty Aug 1 st 1 Introducton Ths artcle presents an analyss of the root extracton algorthms of Aryabhata gven n hs book Āryabhatīya [1,

More information

Multi-Robot Tracking of a Moving Object Using Directional Sensors

Multi-Robot Tracking of a Moving Object Using Directional Sensors Mult-Robot Trackng of a Movng Object Usng Drectonal Sensors Xaomng Hu, Karl H. Johansson, Manuel Mazo Jr., Alberto Speranzon Dept. of Sgnals, Sensors & Systems Royal Insttute of Technology, SE- 44 Stockholm,

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

Identifying Workloads in Mixed Applications

Identifying Workloads in Mixed Applications , pp.395-400 http://dx.do.org/0.4257/astl.203.29.8 Identfyng Workloads n Mxed Applcatons Jeong Seok Oh, Hyo Jung Bang, Yong Do Cho, Insttute of Gas Safety R&D, Korea Gas Safety Corporaton, Shghung-Sh,

More information

Human behaviour analysis and event recognition at a point of sale

Human behaviour analysis and event recognition at a point of sale Human behavour analyss and event recognton at a pont of sale R. Scre MIRANE S.A.S. Cenon, France scre@labr.fr H. Ncolas LaBRI, Unversty of Bordeaux Talence, France ncolas@labr.fr Abstract Ths paper presents

More information

Non-symmetric membership function for Fuzzy-based visual servoing onboard a UAV.

Non-symmetric membership function for Fuzzy-based visual servoing onboard a UAV. 1 Non-symmetrc membershp functon for Fuzzy-based vsual servong onboard a UAV. M. A. Olvares-Méndez* and P. Campoy and C. Martínez and I. F. Mondragón B. Computer Vson Group, DISAM, Unversdad Poltécnca

More information

Airplane Detection in Remote-Sensing Image. with A Circle-Frequency Filter

Airplane Detection in Remote-Sensing Image. with A Circle-Frequency Filter Arplane Detecton n Remote-Sensng Image wth A Crcle-Frequency Flter CAI Hongpng, SU Y (School of Electronc Scence and Engneerng, atonal Unversty of Defense Technology, Changsha, 410073 Chna) ABSTRACT Ths

More information

Document image template matching based on component block list

Document image template matching based on component block list Pattern Recognton Letters 22 2001) 1033±1042 www.elsever.nl/locate/patrec Document mage template matchng based on component block lst Hanchuan Peng a,b,c, *, Fuhu Long b, Zheru Ch b, Wan-Ch Su b a Department

More information

Naive Rule Induction for Text Classification based on Key-phrases

Naive Rule Induction for Text Classification based on Key-phrases Nave Rule Inducton for Text Classfcaton based on Key-phrases Nktas N. Karankolas & Chrstos Skourlas Department of Informatcs, Technologcal Educatonal Insttute of Athens, Greece. Abstract In ths paper,

More information

Document Clustering Analysis Based on Hybrid PSO+K-means Algorithm

Document Clustering Analysis Based on Hybrid PSO+K-means Algorithm Document Clusterng Analyss Based on Hybrd PSO+K-means Algorthm Xaohu Cu, Thomas E. Potok Appled Software Engneerng Research Group, Computatonal Scences and Engneerng Dvson, Oak Rdge Natonal Laboratory,

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

Distributed Multi-Target Tracking In A Self-Configuring Camera Network

Distributed Multi-Target Tracking In A Self-Configuring Camera Network Dstrbuted Mult-Target Trackng In A Self-Confgurng Camera Network Crstan Soto, B Song, Amt K. Roy-Chowdhury Department of Electrcal Engneerng Unversty of Calforna, Rversde {cwlder,bsong,amtrc}@ee.ucr.edu

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

Statistical Approach for Offline Handwritten Signature Verification

Statistical Approach for Offline Handwritten Signature Verification Journal of Computer Scence 4 (3): 181-185, 2008 ISSN 1549-3636 2008 Scence Publcatons Statstcal Approach for Offlne Handwrtten Sgnature Verfcaton 2 Debnath Bhattacharyya, 1 Samr Kumar Bandyopadhyay, 2

More information

Colocalization of Fluorescent Probes

Colocalization of Fluorescent Probes Colocalzaton of Fluorescent Probes APPLICATION NOTE #1 1. Introducton Fluorescence labelng technques are qute useful to mcroscopsts. Not only can fluorescent probes label sub-cellular structures wth a

More information

An Integrated Framework for Responsive Supply Chain Management

An Integrated Framework for Responsive Supply Chain Management 1 An Integrated Framework for Responsve Supply Chan Management 1 Darsht Parmar 1 Teresa Wu 1 John Fowler Tom Callarman 3 Vncent Hargaden 4 Eamonn Ambrose 1 Phlp Wolfe 1 Department of Industral Engneerng

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

Eye Center Localization on a Facial Image Based on Multi-Block Local Binary Patterns

Eye Center Localization on a Facial Image Based on Multi-Block Local Binary Patterns Eye Center Localzaton on a Facal Image Based on Mult-Bloc Local Bnary Patterns Anatoly tn, Vladmr Khryashchev, Olga Stepanova Yaroslavl State Unversty Yaroslavl, Russa anatolyntnyar@gmal.com, vhr@yandex.ru,

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

Study on CET4 Marks in China s Graded English Teaching

Study on CET4 Marks in China s Graded English Teaching Study on CET4 Marks n Chna s Graded Englsh Teachng CHE We College of Foregn Studes, Shandong Insttute of Busness and Technology, P.R.Chna, 264005 Abstract: Ths paper deploys Logt model, and decomposes

More information

Multivariate EWMA Control Chart

Multivariate EWMA Control Chart Multvarate EWMA Control Chart Summary The Multvarate EWMA Control Chart procedure creates control charts for two or more numerc varables. Examnng the varables n a multvarate sense s extremely mportant

More information

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK Yeong-bn Mn 1, Yongwoo Shn 2, Km Jeehong 1, Dongsoo

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

Texture Analysis and Modified Level Set Method for Automatic Detection of Bone Boundaries in Hand Radiographs

Texture Analysis and Modified Level Set Method for Automatic Detection of Bone Boundaries in Hand Radiographs Texture Analyss and Modfed Level Set Method for Automatc Detecton of Bone Boundares n Hand Radographs Syaful Anam Graduate School of Scence and Engneerng Yamaguch Unversty Yamaguch, Japan Department of

More information

Quality Adjustment of Second-hand Motor Vehicle Application of Hedonic Approach in Hong Kong s Consumer Price Index

Quality Adjustment of Second-hand Motor Vehicle Application of Hedonic Approach in Hong Kong s Consumer Price Index Qualty Adustment of Second-hand Motor Vehcle Applcaton of Hedonc Approach n Hong Kong s Consumer Prce Index Prepared for the 14 th Meetng of the Ottawa Group on Prce Indces 20 22 May 2015, Tokyo, Japan

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

Parallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion

Parallel Numerical Simulation of Visual Neurons for Analysis of Optical Illusion 212 Thrd Internatonal Conference on Networkng and Computng Parallel Numercal Smulaton of Vsual Neurons for Analyss of Optcal Illuson Akra Egashra, Shunj Satoh, Hdetsugu Ire and Tsutomu Yoshnaga Graduate

More information

FINAL REPORT. City of Toronto. Contract 47016555. Project No: B000203-3

FINAL REPORT. City of Toronto. Contract 47016555. Project No: B000203-3 Cty of Toronto SAFETY IMPACTS AD REGULATIOS OF ELECTROIC STATIC ROADSIDE ADVERTISIG SIGS TECHICAL MEMORADUM #2C BEFORE/AFTER COLLISIO AALYSIS AT SIGALIZED ITERSECTIO FIAL REPORT 3027 Harvester Road, Sute

More information

On-Board Satellite Implementation of Wavelet-Based Predictive Coding of Hyperspectral Images

On-Board Satellite Implementation of Wavelet-Based Predictive Coding of Hyperspectral Images On-oard Satellte Implementaton of -ased Predctve Codng of Hyperspectral Images Agneszka C. Mguel*, Alexander Chang #, Rchard E. Ladner #, Scott Hauck*, Eve A. Rskn* * Department of Electrcal Engneerng,

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo **

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo ** Fuse, Taash A New Technque for Vehcle Tracng on the Assumton of Stratosherc Platforms Taash FUSE * and Ehan SHIMIZU ** * Deartment of Cvl Engneerng, Unversty of Toyo ** Professor, Deartment of Cvl Engneerng,

More information

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES Zuzanna BRO EK-MUCHA, Grzegorz ZADORA, 2 Insttute of Forensc Research, Cracow, Poland 2 Faculty of Chemstry, Jagellonan

More information

Abstract. 1. Introduction

Abstract. 1. Introduction System and Methodology for Usng Moble Phones n Lve Remote Montorng of Physcal Actvtes Hamed Ketabdar and Matt Lyra Qualty and Usablty Lab, Deutsche Telekom Laboratores, TU Berln hamed.ketabdar@telekom.de,

More information

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

Liptracking and MPEG4 Animation with Feedback Control

Liptracking and MPEG4 Animation with Feedback Control Lptrackng and MPEG4 Anmaton wth Feedback Control Brce Beaumesnl, Franck Luthon, Marc Chaumont To cte ths verson: Brce Beaumesnl, Franck Luthon, Marc Chaumont. Lptrackng and MPEG4 Anmaton wth Feedback Control.

More information

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

More information

A cooperative perception system for multiple UAVs: Application to automatic. detection of forest fires

A cooperative perception system for multiple UAVs: Application to automatic. detection of forest fires A cooperatve percepton system for multple UAVs: Applcaton to automatc detecton of forest fres Lus Merno 1, Fernando Caballero 2, J. R. Martínez-de Dos 2, Joaquín Ferruz 2 and Aníbal Ollero 2 Robotcs, Vson

More information

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,

More information

Automated Mobile ph Reader on a Camera Phone

Automated Mobile ph Reader on a Camera Phone Automated Moble ph Reader on a Camera Phone B.Y. Loh, N.K. Vuong, S. Chan and C.. Lau AbstractA robust classfcaton algorthm that apples color scence and mage processng technques s developed to automatcally

More information

Techniques for multi-resolution image registration in the presence of occlusions 1

Techniques for multi-resolution image registration in the presence of occlusions 1 Technques for mult-resoluton mage regstraton n the presence of occlusons organ cgure Harold S. Stone morganm@mt.edu, hstone@research.n.nec.com Abstract Ths paper descrbes and compares technques for regsterng

More information

A Load-Balancing Algorithm for Cluster-based Multi-core Web Servers

A Load-Balancing Algorithm for Cluster-based Multi-core Web Servers Journal of Computatonal Informaton Systems 7: 13 (2011) 4740-4747 Avalable at http://www.jofcs.com A Load-Balancng Algorthm for Cluster-based Mult-core Web Servers Guohua YOU, Yng ZHAO College of Informaton

More information

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1 Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,

More information

The Journal of Systems and Software

The Journal of Systems and Software The Journal of Systems and Software 82 (2009) 241 252 Contents lsts avalable at ScenceDrect The Journal of Systems and Software journal homepage: www. elsever. com/ locate/ jss A study of project selecton

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

IMPROVEMENT OF THE STABILITY SOLVING RATIONAL POLYNOMIAL COEFFICIENTS

IMPROVEMENT OF THE STABILITY SOLVING RATIONAL POLYNOMIAL COEFFICIENTS IMPROVEMEN OF HE ABIIY OVING RAIONA POYNOMIA COEFFICIEN Xanyong n a,*, Xuxao Yuan a a chool of Remote ensng and Informaton Engneerng, Wuhan Unversty, 19 uoyu Road, Wuhan 40079, Chna wnterlnny@16.com Commsson

More information

9.1 The Cumulative Sum Control Chart

9.1 The Cumulative Sum Control Chart Learnng Objectves 9.1 The Cumulatve Sum Control Chart 9.1.1 Basc Prncples: Cusum Control Chart for Montorng the Process Mean If s the target for the process mean, then the cumulatve sum control chart s

More information

Hallucinating Multiple Occluded CCTV Face Images of Different Resolutions

Hallucinating Multiple Occluded CCTV Face Images of Different Resolutions In Proc. IEEE Internatonal Conference on Advanced Vdeo and Sgnal based Survellance (AVSS 05), September 2005 Hallucnatng Multple Occluded CCTV Face Images of Dfferent Resolutons Ku Ja Shaogang Gong Computer

More information

USE OF THE SRTM DEM AS A GEO-REFERENCING TOOL BY ELEVATION MATCHING

USE OF THE SRTM DEM AS A GEO-REFERENCING TOOL BY ELEVATION MATCHING USE OF THE SRTM DEM AS A GEO-REFERENCING TOOL BY ELEVATION MATCHING J. A. Gonçalves a, A. M. Morgado b a Faculdade de Cêncas - Unversdade do Porto, Rua Campo Alegre, 4430-354 Porto, Portugal - jagoncal@fc.up.pt

More information

Attention Based Auto Image Cropping

Attention Based Auto Image Cropping Attenton Based Auto Image Croppng Fred Stentford UCL Adastral Park Campus, Martlesham Heath, Ipswch, Suffolk, IP5 3RE, UK f.stentford@adastral.ucl.ac.uk Abstract. Many mages contan salent regons that are

More information

Prediction of Wind Energy with Limited Observed Data

Prediction of Wind Energy with Limited Observed Data Predcton of Wnd Energy wth Lmted Observed Data Shgeto HIRI, khro HOND Nagasak R&D Center, MITSISHI HEVY INDSTRIES, LTD, Nagasak, 8539 JPN Masaak SHIT Nagasak Shpyard & Machnery Works, MITSISHI HEVY INDSTRIES,

More information

MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION

MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION R. SEULIN, F. MERIENNE and P. GORRIA Laboratore Le2, CNRS FRE2309, EA 242, Unversté

More information

RequIn, a tool for fast web traffic inference

RequIn, a tool for fast web traffic inference RequIn, a tool for fast web traffc nference Olver aul, Jean Etenne Kba GET/INT, LOR Department 9 rue Charles Fourer 90 Evry, France Olver.aul@nt-evry.fr, Jean-Etenne.Kba@nt-evry.fr Abstract As networked

More information

Multi-sensor Data Fusion for Cyber Security Situation Awareness

Multi-sensor Data Fusion for Cyber Security Situation Awareness Avalable onlne at www.scencedrect.com Proceda Envronmental Scences 0 (20 ) 029 034 20 3rd Internatonal Conference on Envronmental 3rd Internatonal Conference on Envronmental Scence and Informaton Applcaton

More information

A DATA MINING APPLICATION IN A STUDENT DATABASE

A DATA MINING APPLICATION IN A STUDENT DATABASE JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (53-57) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng Büyükbakkalköy-Istanbul

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

A Dynamic Load Balancing for Massive Multiplayer Online Game Server

A Dynamic Load Balancing for Massive Multiplayer Online Game Server A Dynamc Load Balancng for Massve Multplayer Onlne Game Server Jungyoul Lm, Jaeyong Chung, Jnryong Km and Kwanghyun Shm Dgtal Content Research Dvson Electroncs and Telecommuncatons Research Insttute Daejeon,

More information

2. RELATED WORKS AND PROBLEM STATEMENT

2. RELATED WORKS AND PROBLEM STATEMENT JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 30, 1245-1260 (2014) Short Paper Traffc Congeston Evaluaton and Sgnal Tmng Optmzaton Based on Wreless Sensor Networks: Issues, Approaches and Smulaton * School

More information

Automated information technology for ionosphere monitoring of low-orbit navigation satellite signals

Automated information technology for ionosphere monitoring of low-orbit navigation satellite signals Automated nformaton technology for onosphere montorng of low-orbt navgaton satellte sgnals Alexander Romanov, Sergey Trusov and Alexey Romanov Federal State Untary Enterprse Russan Insttute of Space Devce

More information

IMPROVEMENT OF CONVERGENCE CONDITION OF THE SQUARE-ROOT INTERVAL METHOD FOR MULTIPLE ZEROS 1

IMPROVEMENT OF CONVERGENCE CONDITION OF THE SQUARE-ROOT INTERVAL METHOD FOR MULTIPLE ZEROS 1 Nov Sad J. Math. Vol. 36, No. 2, 2006, 0-09 IMPROVEMENT OF CONVERGENCE CONDITION OF THE SQUARE-ROOT INTERVAL METHOD FOR MULTIPLE ZEROS Modrag S. Petkovć 2, Dušan M. Mloševć 3 Abstract. A new theorem concerned

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Brigid Mullany, Ph.D University of North Carolina, Charlotte

Brigid Mullany, Ph.D University of North Carolina, Charlotte Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte

More information

Numerical Study of Wave Run-up around Offshore Structure in Waves

Numerical Study of Wave Run-up around Offshore Structure in Waves Journal of Advanced Research n Ocean Engneerng Journal of Advanced Research n Ocean Engneerng 2(2) (2016) 061-066 http://dx.do.org/10.5574/jaroe.2016.2.2.061 Numercal Study of Wave Run-up around Offshore

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Research into a RFID Neural Network Localization Algorithm

Research into a RFID Neural Network Localization Algorithm , pp. 95-304 http://dx.do.org/10.1457/jfgcn.016.9.5.8 Research nto a RFID Neural Network Localzaton Algorthm Jangang Jn Software Technology Vocatonal College, North Chna Unversty of Water Resources and

More information

Who are you with and Where are you going?

Who are you with and Where are you going? Who are you wth and Where are you gong? Kota Yamaguch Alexander C. Berg Lus E. Ortz Tamara L. Berg Stony Brook Unversty Stony Brook Unversty, NY 11794, USA {kyamagu, aberg, leortz, tlberg}@cs.stonybrook.edu

More information

Daily O-D Matrix Estimation using Cellular Probe Data

Daily O-D Matrix Estimation using Cellular Probe Data Zhang, Qn, Dong and Ran Daly O-D Matrx Estmaton usng Cellular Probe Data 0 0 Y Zhang* Department of Cvl and Envronmental Engneerng, Unversty of Wsconsn-Madson, Madson, WI 0 Phone: -0-- E-mal: zhang@wsc.edu

More information

Evaluation of Coordination Strategies for Heterogeneous Sensor Networks Aiming at Surveillance Applications

Evaluation of Coordination Strategies for Heterogeneous Sensor Networks Aiming at Surveillance Applications Evaluaton of Coordnaton Strateges for Heterogeneous Sensor Networs Amng at Survellance Applcatons Edson Pgnaton de Fretas, *, Tales Hemfarth*, Carlos Eduardo Perera*, Armando Morado Ferrera, Flávo Rech

More information

Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker

Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker Everybody needs somebody: Modelng socal and groupng behavor on a lnear programmng multple people tracker Laura Leal-Taxe, Gerard Pons-Moll and Bodo Rosenhahn Insttute for Informaton Processng (TNT) Lebnz

More information

A COLLABORATIVE TRADING MODEL BY SUPPORT VECTOR REGRESSION AND TS FUZZY RULE FOR DAILY STOCK TURNING POINTS DETECTION

A COLLABORATIVE TRADING MODEL BY SUPPORT VECTOR REGRESSION AND TS FUZZY RULE FOR DAILY STOCK TURNING POINTS DETECTION A COLLABORATIVE TRADING MODEL BY SUPPORT VECTOR REGRESSION AND TS FUZZY RULE FOR DAILY STOCK TURNING POINTS DETECTION JHENG-LONG WU, PEI-CHANN CHANG, KAI-TING CHANG Department of Informaton Management,

More information

Vehicle Tracking Using Particle Filter for Parking Management System

Vehicle Tracking Using Particle Filter for Parking Management System 2014 4th Internatonal Conference on Artfcal Intellgence wth Applcatons n Engneerng and Technology Vehcle Trackng Usng Partcle Flter for Parkng Management System Kenneth Tze Kn Teo, Renee Ka Yn Chn, N.S.V.

More information

Augmented Reality Based Building Design Exhibition on DROID

Augmented Reality Based Building Design Exhibition on DROID EECS 598 Advanced Topcs n Moble Computer Vson Course Project Fnal Report Augmented Realty Based Buldng Desgn Exhbton on DROID Chen Feng, PhD Student, Department of Cvl and Envronmental Engneerng, Unversty

More information

Transients Analysis of a Nuclear Power Plant Component for Fault Diagnosis

Transients Analysis of a Nuclear Power Plant Component for Fault Diagnosis A publcaton of CHEMICAL ENGINEERING TRANSACTIONS VOL. 33, 213 Guest Edtors: Enrco Zo, Pero Barald Copyrght 213, AIDIC Servz S.r.l., ISBN 978-88-9568-24-2; ISSN 1974-9791 The Italan Assocaton of Chemcal

More information

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy Fnancal Tme Seres Analyss Patrck McSharry patrck@mcsharry.net www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton

More information

A model based method of pedestrian abnormal behavior detection in traffic scene

A model based method of pedestrian abnormal behavior detection in traffic scene A model based method of pedestran abnormal behavor detecton n traffc scene Jang Qanyn 1,2,3, L Guomng 1,2,3, Yu Jnwe 1,2, L Xyng 1,2,3 1. esearch Center of Intellgent Transportaton System, School of Engneerng,

More information

MAPP. MERIS level 3 cloud and water vapour products. Issue: 1. Revision: 0. Date: 9.12.1998. Function Name Organisation Signature Date

MAPP. MERIS level 3 cloud and water vapour products. Issue: 1. Revision: 0. Date: 9.12.1998. Function Name Organisation Signature Date Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

A Performance Analysis of View Maintenance Techniques for Data Warehouses

A Performance Analysis of View Maintenance Techniques for Data Warehouses A Performance Analyss of Vew Mantenance Technques for Data Warehouses Xng Wang Dell Computer Corporaton Round Roc, Texas Le Gruenwald The nversty of Olahoma School of Computer Scence orman, OK 739 Guangtao

More information