Hernandez-Vela, Antonio;
Bautista, Miguel Angel;
Perez-Sala, Xavier;
Ponce, Victor;
Baro, Xavier;
Pujol, Oriol;
Angulo, Cecilio;
(2013)
BoVDW: Bag-of-Visual-and-Depth-Words for Gesture Recognition.
In:
2012 21st International Conference on Pattern Recognition (ICPR 2012).
(pp. pp. 449-452).
IEEE: Tsukuba, Japan.
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Abstract
We present a Bag-of-Visual-and-Depth-Words (BoVDW) model for gesture recognition, an extension of the Bag-of-Visual-Words (BoVW) model, that benefits from the multimodal fusion of visual and depth features. State-of-the-art RGB and depth features, including a new proposed depth descriptor, are analysed and combined in a late fusion fashion. The method is integrated in a continuous gesture recognition pipeline, where Dynamic Time Warping (DTW) algorithm is used to perform prior segmentation of gestures. Results of the method in public data sets, within our gesture recognition pipeline, show better performance in comparison to a standard BoVW model.
| Type: | Proceedings paper |
|---|---|
| Title: | BoVDW: Bag-of-Visual-and-Depth-Words for Gesture Recognition |
| Event: | 21st International Conference on Pattern Recognition (ICPR) |
| Location: | Univ Tsukuba, Tsukuba, JAPAN |
| Dates: | 11 Nov 2012 - 15 Nov 2012 |
| ISBN-13: | 978-1-4673-2216-4 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ieeexplore.ieee.org/document/6460168 |
| Language: | English |
| Additional information: | This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Histograms, Gesture recognition, Visualization, Pipelines, Cameras, Computational modeling, Detectors |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10174108 |
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