Title :
A Temporal Belief Filter Improving Human Action Recognition in Videos
Author :
Ramasso, Emmanuel ; Rombaut, Michèle ; Pellerin, Denis
Author_Institution :
Lab. of Images & Signals
Abstract :
In the context of human action recognition in video sequences, a temporal belief filter based on the transferable belief model is proposed. It ensures a consistency in the temporal belief evolution. The filter is useful to cope with varying video quality and experiment conditions by smoothing belief on actions and solving conflict due to contradictory parameters. The proposed approach is validated on real video sequences with moving camera under several view angles
Keywords :
filtering theory; image motion analysis; image recognition; image sequences; video signal processing; human action recognition; temporal belief filter; transferable belief model; video sequences; Bayesian methods; Cameras; Context modeling; Filters; Gravity; Hidden Markov models; Humans; Leg; Motion analysis; Video sequences;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660299
