PT Unknown
AU Antonio Hernandez
   Miguel Angel Bautista
   Xavier Perez Sala
   Victor Ponce
   Xavier Baro
   Oriol Pujol
   Cecilio Angulo
   Sergio Escalera
TI BoVDW: Bag-of-Visual-and-Depth-Words for Gesture Recognition
BT 21st International Conference on Pattern Recognition
PY 2012
AB 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.
ER