Multiresolution Match Kernels for gesture video classification

Conference/Journal
IEEE
Authors
Hemanth Venkateswara Vineeth N Balasubramanian Prasanth Lade Sethuraman Panchanathan
BibTex
Abstract
Abstract: The emergence of depth imaging technologies like the Microsoft Kinect has renewed interest in computational methods for gesture classification based on videos. For several years now, researchers have used the Bag-of-Features (BoF) as a primary method for generation of feature vectors from video data for recognition of gestures. However, the BoF method is a coarse representation of the information in a video, which often leads to poor similarity measures between videos. Besides, when features extracted from different ...