Sparsity-inducing dictionaries for effective action classification

Conference/Journal
Pergamon
Authors
Debaditya Roy M Srinivas C. Krishna Mohan
BibTex
Abstract
Abstract Action recognition in unconstrained videos is one of the most important challenges in computer vision. In this paper, we propose sparsity-inducing dictionaries as an effective representation for action classification in videos. We demonstrate that features obtained from sparsity based representation provide discriminative information useful for classification of action videos into various action classes. We show that the constructed dictionaries are distinct for a large number of action classes resulting in a significant improvement in ...