Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A probabilistic approach to human motion detection and labeling
A probabilistic approach to human motion detection and labeling
Automatic acquisition and initialization of articulated models
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
International Journal of Computer Vision
Articulated models from video
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Unsupervised Bayesian Detection of Independent Motion in Crowds
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
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
A tutorial on spectral clustering
Statistics and Computing
Learning Layered Motion Segmentations of Video
International Journal of Computer Vision
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Learning generic human body models
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Hierarchical spatio-temporal extraction of models for moving rigid parts
Pattern Recognition Letters
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We present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algorithms for tracking and extend clustering techniques by a self-tuning heuristic. Application to video sequences of humans shows good segmentation into limbs.