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Action Recognition Robust to Background Clutter by Using Stereo Vision
- Source :
- 4th International Workshop on Video Event Categorization, Tagging and Retrieval, 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⟩, Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338625, ECCV Workshops (1)
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; 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.
- Subjects :
- Sequence
Monocular
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
02 engineering and technology
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Stereopsis
Action (philosophy)
Histogram
0202 electrical engineering, electronic engineering, information engineering
Clutter
020201 artificial intelligence & image processing
Computer vision
Visual Word
Artificial intelligence
business
Blossom algorithm
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-642-33862-5
- ISBNs :
- 9783642338625
- Database :
- OpenAIRE
- Journal :
- 4th International Workshop on Video Event Categorization, Tagging and Retrieval, 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⟩, Computer Vision – ECCV 2012. Workshops and Demonstrations ISBN: 9783642338625, ECCV Workshops (1)
- Accession number :
- edsair.doi.dedup.....d60ddeeccbec7b0970572300e83c2070