Name
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. |
Year | Venue | Keywords |
|---|---|---|
2012 | Pattern Recognition | gesture recognition,image retrieval,BoVDW model,BoVW model,DTW algorithm,RGB features,bag-of-visual-and-depth-words,bag-of-visual-words model,continuous gesture recognition pipeline,depth descriptor,depth features,dynamic time warping algorithm,late fusion fashion,multimodal fusion,visual features |
Field | DocType | ISSN |
Computer vision,Data set,Pattern recognition,Dynamic time warping,Computer science,Gesture,Segmentation,Gesture recognition,Image retrieval,RGB color model,Artificial intelligence | Conference | 1051-4651 |
ISBN | Citations | PageRank |
978-1-4673-2216-4 | 16 | 0.73 |
References | Authors | |
1 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Hernández-Vela | 1 | 88 | 7.05 |
| Miguel Ángel Bautista | 2 | 168 | 10.97 |
| Xavier Perez-Sala | 3 | 57 | 4.71 |
| Víctor Ponce-López | 4 | 132 | 7.10 |
| Xavier Baró | 5 | 474 | 33.99 |
| Oriol Pujol | 6 | 963 | 60.82 |
| Cecilio Angulo | 7 | 434 | 57.48 |
| Sergio Escalera | 8 | 1415 | 113.31 |
| Hernandez-Vela, A. | 9 | 16 | 0.73 |
| Perez-Sala, X. | 10 | 16 | 0.73 |
| Ponce, V. | 11 | 16 | 0.73 |