The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Digital Representations of Human Movement
ACM Computing Surveys (CSUR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pictorial Structures for Object Recognition
International Journal of Computer Vision
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
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Video Object Segmentation Using Graphs
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Rigid Part Decomposition in a Graph Pyramid
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Multi-scale 2D tracking of articulated objects using hierarchical spring systems
Pattern Recognition
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Tracking multiple features of a rigid or an articulated object, without considering the underlying structure, becomes ambiguous if the target model (for example color histograms) is similar to other nearby regions or to the background. Instead of tracking multiple features independently, we propose an approach that integrates the underlying structure into the tracking process using an attributed graph. The independent tracking processes are driven to a solution that satisfies the visual as well as the structural constraints. An approach for rigid objects is presented and extended to handle articulated objects consisting of rigid parts. Experimental results on real and synthetic videos show promising results in scenes with considerable amount of occlusion.