A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Learning to Estimate Human Pose with Data Driven Belief Propagation
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Tracking People by Learning Their Appearance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast nonparametric belief propagation for real-time stereo articulated body tracking
Computer Vision and Image Understanding
Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation
International Journal of Computer Vision
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation
International Journal of Computer Vision
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking
International Journal of Computer Vision
Proposal maps driven MCMC for estimating human body pose in static images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Inferring 3D body pose from silhouettes using activity manifold learning
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
3D human pose from silhouettes by relevance vector regression
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Articulated Human Body: 3D Pose Estimation Using a Single Camera
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
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We address the problem of how human pose in 3D can be estimated from video data. The use of multiple views has the potential of tackling self-occlusion of the human subject in any particular view, as well as of estimating the human pose more precisely. We propose a scheme of allowing multiple views to be put together naturally for determining human pose, allowing hypotheses of the body parts in each view to be pruned away efficiently through consistency check over all the views. The scheme relates the different views through a linear combination-like expression of all the image data, which captures the rigidity of the human subject in 3D. The scheme does not require thorough calibration of the cameras themselves nor the camera inter-geometry. A formulation is also introduced that expresses the multi-view scheme, as well as other constraints, in the pose estimation problem. A belief propagation approach is used to reach a final human pose under the formulation. Experimental results on in-house captured image data as well as publicly available benchmark datasets are shown to illustrate the performance of the system.