January 2008 PhD Degree (Dr.techn.) PhD student at Graz University of Technology (computer science)

Transcription

1 Curriculum Vitae Peter Michael Roth Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16/II, 8010 Graz, Austria Graz, Oct 17, 2011 Personal Data Date of birth May 15, 1978 Place of birth Graz Citizenship Austria Marital status Single Education January 2008 PhD Degree (Dr.techn.) PhD student at Graz University of Technology (computer science) December 2002 Master s Degree (Dipl.-Ing.) Student of Technical Mathematics (computer science, branch of study) at Graz University of Technology June 1996 Matura (school leaving examination) BG/BRG Köflach (high school) Volksschule Mooskirchen (primary school) Employment 01/2008 date Institute for Computer Graphics and Vision at Graz University of Technology: Post-Doc (computer vision, visual learning, visual surveillance) 1

2 01/ /2007 Institute for Computer Graphics and Vision at Graz University of Technology: PhD student (PhD thesis: computer vision) 01/ /2003 Military service 01/ /2002 Christian-Doppler-Laboratory for Engine- and Vehicle Acoustics at Graz University of Technology and AVL-List (master s thesis: applied and numerical mathematics) 08/ /2000 Austriamicrosystems (applied statistics, network programming) 12/ /2000 DeltaSoft Mathematics (applied mathematics, software engineering) Qualifications Working group Learning, Recognition, and Surveillance at Institute for Computer Graphics and Vision, Graz University of Technology, 2009 date Supervisor/Adviser of undergraduate/graduate students, 2007 date Responsibilities for scientific & industrial projects, 2007 date Projects involved: FSP/JRP Cognitive Vision, AUTOVISTA, INT-2: Hi-Moni, KI- RAS - SECRET, KIRAS - MDL, OUTLIER, Image Processing and Statistical Learning, Person Re-Identification Reviewer for CVPR , ICCV 2007/2009/2011, ECCV 2008/2010, BMVC 2008, ACCV 2009/2010, CVWW , AAPR Workshop 2008/2010, IEEE Online Learning for Computer Vision Workshop 2009/2010, IEEE WS on Subspace Learning 2009/2010, IJCNN 2010/2011, IWCANN 2011/12, IBPRIA 2011, AVSS 2011, etc. etc. Reviewer for Pattern Recognition, Pattern Recognition Letters, Neural Networks, IEEE Trans. PAMI, IEEE Trans. Signal Processing, IEEE Trans. on Visualization and Computer Graphics, IEEE Intelligent Systems, IEEE Computer, Image and Vision Computing, IET Computer Vision, etc. Chair of the 33th ÖAGM/AAPR Workshop 2009 in Stainz (Austria) 2

3 Awards Best Oral Presentation Award, ICVSS 2007 Best Scientific Paper Award, ICPR 2010 Outstanding Reviewer Award, ACCV 2010 Languages German English French native language fluently in written and spoken school knowledge Interests Visual Learning, Machine Learning Pattern Recognition, Computer Vision Statistical Methods and Data Mining Programming and Software Development Team Leading and Project Management Students Master Students Emile Richard (2008), Sabine Sternig (2008), Armin Berger (2009), Gerald Fritz (2011), Georg Kummert(ongoing), Max Stricker (ongoing) PhD Students (co-supervised) Thomas Mauthner (ongoing), Inayatulla Khan (ongoing), Sabine Sternig (ongoing), Martin Godec (ongoing), Martin Hirzer (ongoing), Martin Köstinger (ongoing), Paul Wohlhart (ongoing), Samuel Schulter (ongoing) 3

4 Computing Programming Applications OS C/C++, Java, Fortran Mathematica, MATLAB, LaTeX, Office, etc. Windows, Linux Publications Journals, Contributions to Books, Editor of Books [1] Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof, and Josef A. Birchbauer. Communications in Computer and Information Science, vol. 68, chapter Efficient Robust Active Appearance Model Fitting, pages Springer, [2] Michael Fussenegger, Peter M. Roth, Rachid Deriche, Horst Bischof, and Axel Pinz. A level set framework using a new incremental, robust active shape model for object segmentation and tracking. Image and Vision Computing, 27: , [3] Peter M. Roth, Christian Leistner, Helmut Grabner, and Horst Bischof. Multi-Camera Networks, Principles and Applications, chapter Online Learning of Person Detectors by Co-Training from Multiple Cameras, pages Academic Press, [4] Peter M. Roth, Thomas Mauthner, and Thomas Pock, editors. Proc. 33rd Workshop of the Austrian Association for Pattern Recognition, [5] Peter M. Roth and Horst Bischof. Machine Learning Techniques for Multimedia, chapter Conservative Learning for Object Detectors, pages Springer, Peer Reviewed Articles [6] Gerhard Backfried, Dorothea Aniola, Gerald Quirchmayr, Werner Winiwarter, Klaus Mak, H.C. Pilles, Christian Meures, Martin Köstinger, Paul Wohlhart, and Peter M. Roth. Open Source Intelligence am Beispiel von KIRAS/MDL. In Proc. Sicherheitskonferenz Krems, (in German, accepted). [7] Martin Godec, Peter M. Roth, and Horst Bischof. Hough-based tracking of non-rigid objects. In Proc. IEEE Int l Conf. on Computer Vision, (accepted). [8] Martin Hirzer, Csaba Beleznai, Peter M. Roth, and Horst Bischof. Person reidentification by descriptive and discriminative classification. In Proc. Scandinavian Conf. on Image Analysis,

5 [9] Inayatulla Khan, Peter M. Roth, and Horst Bischof. Learning object detectors from weakly-labeled internet images. In Proc. Workshop of the Austrian Association for Pattern Recognition, [10] Martin Köstinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof. Learning to recognize faces from videos and weakly related information cues. In Proc. IEEE Int l Conf. on Advanced Video and Signal-Based Surveillance, [11] Martin Köstinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof. Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization. In First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, [12] Peter M. Roth, Horst Bischof, Norbert Brändle, Peter Widhalm, Sven Havemann, Volker Settgast, Marcel Lancelle, and Josef Birchbauer. Next-generation 3D visualization for visual surveillance. In Proc. IEEE Int l Conf. on Advanced Video and Signal-Based Surveillance, [13] Rene Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, and Peter Schallauer. Multi-cue learning and visualization of unusual events. In Proc. IEEE Int l Workshop on Visual Surveillance, (accepted). [14] Samuel Schulter, Christian Leistner, Peter M. Roth, and Horst Bischof. Online hough forests. In Proc. British Machine Vision Conf., [15] Sabine Sternig, Thomas Mauthner, Arnold Irschara, Peter M. Roth, and Horst Bischof. Multi-camera multi-object tracking by robust hough-based homography projections. In Proc. IEEE Int l Workshop on Visual Surveillance, (accepted). [16] Paul Wohlhart, Martin Köstinger, Peter M. Roth, and Horst Bischof. Learning face recognition in videos from associated information sources. In Proc. Workshop of the Austrian Association for Pattern Recognition, [17] Paul Wohlhart, Martin Köstinger, Peter M. Roth, and Horst Bischof. Multiple instance boosting for face recognition in videos. In Proc. DAGM Symposium, [18] Gerhard Backfried, Dorothea Aniola, Klaus Mak, H.C. Pilles, Gerald Quirchmayr, Werner Winiwarter, and Peter M. Roth. Multimedia Documentation Lab. In Proc. Int l Conf. on Knowledge Management and Knowledge Technologies, [19] Armin Berger, Peter M. Roth, Christian Leistner, and Horst Bischof. Centralized information fusion for learning object detectors in multi-camera networks. In Proc. Workshop of the Austrian Association for Pattern Recognition,

6 [20] Martin Godec, Sabine Sternig, Peter M. Roth, and Horst Bischof. Context-driven clustering by multi-class classification in an active learning framework. In Proc. Workshop on Use of Context in Video Processing, [21] Thomas Mauthner, Stefan Kluckner, Peter M. Roth, and Horst Bischof. Efficient object detection using orthogonal NMF descriptor hierarchies. In Proc. DAGM Symposium, [22] Thomas Mauthner, Peter M. Roth, and Horst Bischof. Temporal feature weighting for prototype-based action recognition. In Proc. Asian Conf. on Computer Vision, [23] Peter M. Roth, Christian Leistner, Armin Berger, and Horst Bischof. Multiple instance learning from multiple cameras. In Proc. IEEE Workshop on Camera Networks, [24] Peter M. Roth, Martin Köstinger, Paul Wohlhart, Horst Bischof, and Josef Birchbauer. Automatic detection and reading of dangerous goods plates. In Proc. IEEE Int l Conf. on Advanced Video and Signal-Based Surveillance, [25] Sabine Sternig, Martin Godec, Peter M. Roth, and Horst Bischof. Transientboost: On-line boosting with transient data. In Proc. IEEE Online Learning for Computer Vision Workshop, [26] Sabine Sternig, Hayko Riemenschneider, Peter M. Roth, Michael Donoser, and Horst Bischof. Robust object detection by classifier cubes and local verification. In Proc. Workshop of the Austrian Association for Pattern Recognition, [27] Sabine Sternig, Peter M. Roth, and Horst Bischof. Inverse multiple instance learning for classifier grids. In Proc. Int l Conf. on Pattern Recognition, [28] Sabine Sternig, Peter M. Roth, and Horst Bischof. Learning of scene-specific object detectors by classifier co-grids. In Proc. IEEE Int l Conf. on Advanced Video and Signal-Based Surveillance, [29] Paul Wohlhart, Peter M. Roth, and Horst Bischof. 3D camera tracking in unknown environments using on-line keypoint learning. In Proc. Computer Vision Winter Workshop, [30] Christian Leistner, Amir R. Saffari A. A., Peter M. Roth, and Horst Bischof. On robustness of on-line boosting - a competitive study. In Proc. IEEE On-line Learning for Computer Vision Workshop, [31] Stefan Kluckner, Thomas Mauthner, Peter M. Roth, and Horst Bischof. Semantic image classification using consistent regions and individual context. In Proc. British Machine Vision Conf.,

7 [32] Stefan Kluckner, Thomas Mauthner, Peter M. Roth, and Horst Bischof. Semantic classification in aerial imagery by integrating appearance and height information. In Proc. Asian Conf. on Computer Vision, [33] Thomas Mauthner, Peter M. Roth, and Horst Bischof. Action recognition from a small number of frames. In Proc. Computer Vision Winter Workshop, [34] Thomas Mauthner, Peter M. Roth, and Horst Bischof. Instant action recognition. In Proc. Scandinavian Conf. on Image Analysis, [35] Peter M. Roth, Sabine Sternig, Helmut Grabner, and Horst Bischof. Classifier grids for robust adaptive object detection. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, [36] Peter M. Roth, Thomas Mauthner, Inayatulla Khan, and Horst Bischof. Efficient human action recognition by cascaded linear classification. In Proc. IEEE Workshop on Video-Oriented Object and Event Classification, [37] Sabine Sternig, Peter M. Roth, Helmut Grabner, and Horst Bischof. Robust adaptive classifier grids for object detection from static cameras. In Proc. Computer Vision Winter Workshop, [38] Markus Storer, Peter M. Roth, Martin Urschler, Horst Bischof Horst, and Josef A. Birchbauer. Active appearance model fitting under occlusion using fast-robust PCA. In Proc. Int l Conf. on Computer Vision Theory and Applications, [39] Markus Storer, Peter M. Roth, Martin Urschler, and Horst Bischof Horst. Fast-robust PCA. In Proc. Scandinavian Conf. on Image Analysis, [40] Martina Uray, Peter M. Roth, and Horst Bischof. Efficient classification for largescale problems by multiple LDA subspaces. In Proc. Int l Conf. on Computer Vision Theory and Applications, [41] Christian Leistner, Peter M. Roth, Helmut Grabner, Andreas Starzacher, Horst Bischof, and Bernhard Rinner. Visual on-line learning in distributed camera networks. In Int l Conf. on Distributed Smart Cameras, [42] Peter M. Roth and Horst Bischof. Active sampling via tracking. In IEEE Online Learning for Classification Workshop, [43] Peter M. Roth, Helmut Grabner, Christian Leistner, Martin Winter, and Horst Bischof. Interatctive learning a person detector: Fewer clicks - less frustration. In Proc. Workshop of the Austrian Association for Pattern Recognition, [44] Helmut Grabner, Peter M. Roth, and Horst Bischof. Eigenboosting: Combining discriminative and generative information. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition,

8 [45] Helmut Grabner, Peter M. Roth, and Horst Bischof. Is pedestrian detection really a hard task? In Proc. IEEE Int l Workshop on Performance Evaluation of Tracking and Surveillance, [46] Martina Uray, Danijel Skočaj, Peter M. Roth, Horst Bischof, and Aleš Leonardis. Incremental LDA learning by combining reconstructive and discriminative approaches. In Proc. British Machine Vision Conf., [47] Michael Fussenegger, Peter M. Roth, Horst Bischof, and Axel Pinz. On-line, incremental learning of a robust active shape model. In Proc. DAGM Symposium, pages , [48] Helmut Grabner, Peter M. Roth, Michael Grabner, and Horst Bischof. Autonomous learning of a robust background model for change detection. In Proc. IEEE Int l Workshop on Performance Evaluation of Tracking and Surveillance, pages 39 46, [49] Peter M. Roth, Michael Donoser, and Horst Bischof. Tracking for learning an object representation from unlabeled data. In Proc. Computer Vision Winter Workshop, [50] Peter M. Roth, Michael Fussenegger, Axel Pinz, and Horst Bischof. Incremental robust learning an active shape model. In Proc. Workshop of the Austrian Association for Pattern Recognition, [51] Peter M. Roth, Michael Donoser, and Horst Bischof. On-line learning of unknown hand held objects via tracking. In Proc. Int l Cognitive Vision Workshop, [52] Peter M. Roth and Horst Bischof. On-line learning a person model from video data. In Video Proc. IEEE Conf. on Computer Vision and Pattern Recognition, [53] Peter M. Roth, Horst Bischof, Danijel Skočaj, and Aleš Leonardis. Object detection with bootstrapped learning. In Proc. Computer Vision Winter Workshop, [54] Peter M. Roth, Helmut Grabner, Danijel Skočaj, Horst Bischof, and Aleš Leonardis. Conservative visual learning for object detection with minimal hand labeling effort. In Proc. DAGM Symposium, [55] Peter M. Roth, Helmut Grabner, Danijel Skočaj, Horst Bischof, and Aleš Leonardis. On-line conservative learning for person detection. In Proc. IEEE Int l Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, Peer Reviewed (Extended) Abstracts [56] Josef Birchbauer, Samuel Schulter, Rene Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, and Horst Bischof. OUTLIER Online learning and 8

9 visualization of unusual events. In Proc. IEEE Int l Conf. on Advanced Video and Signal-Based Surveillance (Demo Session), [57] Josef Birchbauer, Martin Köstinger, Paul Wohlhart, Peter M. Roth, Horst Bischof, and Claudia Windisch. Video detection of dangerous goods vehicles in road tunnels. In Proc. Tunnel Safety and Ventilation, Theses [58] Peter M. Roth. On-line Conservative Learning. PhD thesis, Graz University of Technology, Faculty of Computer Science, [59] Peter M. Roth. Time-integration for multi-body dynamics and structure borne noise. Master s thesis, Graz University of Technology, Faculty of Technical Mathematics and Technical Physics, (in German). Patents [60] Josef Birchbauer, Horst Bischof, Bernhard Früstück, Helmut Grabner, Thuy Nguyen, Peter M. Roth, and Martin Winter. Method for the computer-assisted recognition of a specific object from a data volume based on an interaction with a user. International Application Number: PCT/EP2009/ Technical Reports [61] Martin Köstinger, Peter M. Roth, and Horst Bischof. Planar trademark and logo retrieval. Technical Report ICG-TR-10/01, Graz University of Technology, Inst. f. Computer Graphics and Vision, (presented at Computer Vision Winter Workshop 2010). [62] Peter M. Roth, Christian Leistner, and Horst Bischof. Learning person detectors from multiple cameras. Technical Report ICG-TR-03/09, Graz University of Technology, Institute for Computer Graphics and Vision, [63] Martin Köstinger, Paul Wohlhart, Peter M. Roth, and Horst Bischof. KIRAS-MDL state-of-the-art report. Technical Report ICG-TR-09/09, Graz University of Technology, Inst. f. Computer Graphics and Vision, [64] Peter M. Roth and Martin Winter. Survey of appearance-based methods for object recognition. Technical Report ICG-TR-01/08, Graz University of Technology, Institute for Computer Graphics and Vision,

10 Presentations (Peer Reviewed) [65] Martin Hirzer, Csaba Beleznai, Peter M. Roth, and Horst Bischof. Combined appearance-based and discriminative person re-identification. Computer Vision Winter Workshop (presentation), [66] Inayatulla Khan, Peter M. Roth, Amir Saffari, Christian Leistner, and Horst Bischof. Learning object models for categorization and localization from internet images. Computer Vision Winter Workshop (presentation),