Title

Human Action Recognition Employing 2Dpca And Vq In The Spatio-Temporal Domain

Abstract

In this paper a novel algorithm for human action recognition is presented. This approach is based on Two-Dimensional Principal Component Analysis (2DPCA) and Vector Quantization (VQ) in the spatial-temporal domain. This method reduces computational complexity by a factor of 98, while maintaining the storage requirement and the recognition accuracy, compared with some of the most recent approaches in the field. Experimental results applied on the Weizmann dataset confirm the excellent properties of the proposed algorithm. © 2010 IEEE.

Publication Date

11-22-2010

Publication Title

Proceedings of the 8th IEEE International NEWCAS Conference, NEWCAS2010

Number of Pages

381-384

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/NEWCAS.2010.5604002

Socpus ID

78349266174 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/78349266174

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