Action recognition robust to background clutter by using stereo vision

Authors:
Jordi Sanchez-Riera;Jan Čech;Radu Horaud
Affiliations:
INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Marin, France;INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Marin, France;INRIA Grenoble Rhône-Alpes, Montbonnot Saint-Marin, France
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Year:
2012

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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.