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.
Cite
Text
Sanchez-Riera et al. "Action Recognition Robust to Background Clutter by Using Stereo Vision." European Conference on Computer Vision Workshops, 2012. doi:10.1007/978-3-642-33863-2_33Markdown
[Sanchez-Riera et al. "Action Recognition Robust to Background Clutter by Using Stereo Vision." European Conference on Computer Vision Workshops, 2012.](https://mlanthology.org/eccvw/2012/sanchezriera2012eccvw-action/) doi:10.1007/978-3-642-33863-2_33BibTeX
@inproceedings{sanchezriera2012eccvw-action,
title = {{Action Recognition Robust to Background Clutter by Using Stereo Vision}},
author = {Sanchez-Riera, Jordi and Cech, Jan and Horaud, Radu},
booktitle = {European Conference on Computer Vision Workshops},
year = {2012},
pages = {332-341},
doi = {10.1007/978-3-642-33863-2_33},
url = {https://mlanthology.org/eccvw/2012/sanchezriera2012eccvw-action/}
}