Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Action Recognition Using Probabilistic Parsing
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Bayesian Framework for Video Surveillance Application
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Conceptual representations between video signals and natural language descriptions
Image and Vision Computing
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Minimal-latency human action recognition using reliable-inference
Image and Vision Computing
Temporal Bayesian networks for scenario recognition
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A proposal for local and global human activities identification
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
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We propose an original bayesian approach to recognize human behaviors from video streams. Mobile objects and their visual features are computed by a vision module. Then, using a Recurrent Bayesian Network, behaviors of the mobile objects are recognized through the temporal evolution of their visual features.