IEEE Transactions on Pattern Analysis and Machine Intelligence
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
An Adaptive Appearance Model Approach for Model-based Articulated Object Tracking
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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
Tracking human motion and actions for interactive robots
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Constraint Integration for Efficient Multiview Pose Estimation with Self-Occlusions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time 3d arm pose estimation from monocular video for enhanced HCI
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Pose robust human detection using multiple oriented 2d elliptical filters
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Human Pose Tracking in Monocular Sequence Using Multilevel Structured Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vision-based human pose estimation for pervasive computing
AMC '09 Proceedings of the 2009 workshop on Ambient media computing
Real-time robust body part tracking for augmented reality interface
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
International Journal of Computer Vision
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking
International Journal of Computer Vision
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In this paper we present a combined probability estimation approach to detect and track multiple people for pose estimation at the same time. It can deal with partial and total occlusion between persons by adding torso appearance to the tracker. Moreover, the upper body of each individual is further segmented into head, torso, upper arm and lower arm in a hierarchical way. The simplicity of the feature and the simplified model allow close real time performance of the tracker. The experimental results show that the proposed method can deal with most of the inner-occlusion between persons, as well as certain self-occlusion. It's also much faster than the existing methods with comparable accuracy.