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Action Recognition Robust to Background Clutter by Using Stereo Vision

Jordi Sanchez-Riera 1 Jan Cech 1 Radu Horaud 1 
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : An action recognition algorithm which works with binocular videos is presented. The proposed method uses standard bag-of-words approach, where each action clip is represented as a histogram of visual words. However, instead of using classical monocular HoG/HoF features, we construct features from the scene-flow computed by a matching algorithm on the sequence of stereo images. The resulting algorithm has a comparable or slightly better recognition accuracy than standard monocular solution in controlled setup with a single actor present in the scene. However, we show its significantly improved performance in case of strong background clutter due to other people freely moving behind the actor.
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Submitted on : Saturday, December 22, 2012 - 6:42:14 PM
Last modification on : Saturday, June 25, 2022 - 7:40:06 PM
Long-term archiving on: : Saturday, March 23, 2013 - 3:47:42 AM


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Jordi Sanchez-Riera, Jan Cech, Radu Horaud. Action Recognition Robust to Background Clutter by Using Stereo Vision. 4th International Workshop on Video Event Categorization, Tagging and Retrieval, Oct 2012, Firenze, Italy. pp.332-341, ⟨10.1007/978-3-642-33863-2_33⟩. ⟨hal-00768670⟩



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