Limits and Possibilities of Markerless Human Motion Estimation

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1 Limits and Possibilities of Markerless Human Motion Estimation Bodo Rosenhahn Universität Hannover

2 Motion Capture Wikipedia (MoCap): Approaches for recording and analyzing Human motions

3 Markerless Motion Capture

4 Impact Sports Science Geriatrics Orthopedics Animation Surveillance

5 Basics Texture driven Tracking + optimization Segmentation Correspondences Outdoor Cloth models Pose estimation Statistical learning Output: Pose and joint angles

6 Outdoor Motion Capture

7 Priors 3D Mesh Synchronized, calibrated cameras static background

8 MoCap Everywhere

9 MoCap Everywhere Challenges: - Moving Cameras - Non-Synchronized Cameras - Tracking Articulated objects - No Model

10 MoCap Everywhere

11 Sound-driven Synchronization MoCap Everywhere 11

12 MoCap Everywhere Cross-correlation 12

13 Video Hasler et.al. CVPR-09

14 Video

15 Prior: Model

16 Shape and Pose Database Hasler et.al. Eurographics-09

17 Shape and Pose Database Hasler et.al. Eurographics-09

18 3D Scans 114 Subjects 34 Poses

19 Correlations Pose Space Shape Space

20 Shape and Pose Database

21 Shape and Pose Database Random Characters

22 Control Height/Weight weight height

23 Shape and Pose Database Generate Shapes with specific properties (Female, 65kg)

24 Train Gradients

25 Shape and Pose Database Muscle-morphing

26 Shape and Pose Database Interactive shape editing

27 Cloth X-Ray Hasler et.al. SMI-09

28 Image Fitting Accepted: CVPR-10

29 Monocular Shape and Pose Estimation Input: Flickr-Image + Silhouette Output: Shape, pose & camera calibration

30 Monocular Shape and Pose Estimation

31 Example Estimated : 1.89 m, 82 kg Ground truth : 1.93 m, 82 kg

32 Still Ambiguities remain

33 Orientation Sensors Z Y F I X Magnetic North Gravity direction Û V W Pons et.al. CVPR-10

34 Validation Validation with a Database of sequences comprising: - 8 camera views - 4 actors - Variety of motions: cart-wheel, jumping, running - 5 inertial sensors x 5

35 Video-based (V) vs Hybrid tracker (H) Mean Variance % Large Errors Most of the large tracking errors are corrected with our Hybrid tracker

36 Topics Basics for Markerless Motion Capture Overcoming Limitations Camera Motions Camera Synchronization Model generation / Missing data estimation Clothed people Stability, Robustness, Speed

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