Sparsifying Dense Features for Action Classification

Conference/Journal
ACM
Authors
Debaditya Roy M Srinivas C. Krishna Mohan
BibTex
Abstract
Abstract We propose an approach for sparse representation of dense features for action classification. Sparse representation has already been shown in literature as a good approximation for signals for various computer vision applications. This property is leveraged to represent a dense feature like action bank in the form of sparse dictionaries. These dictionaries are learnt using on-line dictionary learning (ODL) which further facilitates incorporating new training examples into existing dictionaries for more robust ...