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Conference Papers Year : 2012

Action Recognition Robust to Background Clutter by Using Stereo Vision

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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Dates and versions

hal-00768670 , version 1 (22-12-2012)

Identifiers

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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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