Region-based parametric motion segmentation using color information
Graphical Models and Image Processing
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Vision pyramids that do not grow too high
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
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
Incremental discovery of object parts in video sequences
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Learning Articulated Structure and Motion
International Journal of Computer Vision
On-Line Random Naive Bayes for Tracking
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Multibody Motion Segmentation Using the Geometry of 6 Points in 2D Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Multi-scale 2D tracking of articulated objects using hierarchical spring systems
Pattern Recognition
Segmenting highly articulated video objects with weak-prior random forests
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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This paper presents a method to create a model of an articulated object using the planar motion in an initialization video. The model consists of rigid parts connected by points of articulation. The rigid parts are described by the positions of salient feature-points tracked throughout the video. Following a filtering step that identifies points that belong to different objects, rigid parts are found by a grouping process in a graph pyramid. Valid articulation points are selected by verifying multiple hypotheses for each pair of parts.