Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
Articulated Object Tracking via a Genetic Algorithm
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
3D Part Recognition Method for Human Motion Analysis
CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
Robust tracking of human body parts for collaborative human computer interaction
Computer Vision and Image Understanding
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Motion swarms: video interaction for art in complex environments
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Detecting load conditions in human walking using expectation maximization and neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Visual affect recognition
ASB'03 Proceedings of the 1st international conference on Advanced Studies in Biometrics
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We address the problem of articulated posture estimation in it's general form. Namely, the recovery of full 3D posture parameters from an uncontrolled scene. Stochastic modeling of low-level image data is unified with models of object kinematic structure through a constrained mixture of observation processes. A modified Expectation-Maximization algorithm is proposed for this purpose. Early experiments qualitatively demonstrate the efficacy of our approach.