Title

Simultaneous Human Detection And Action Recognition Employing 2Dpca-Hog

Abstract

In this paper a novel algorithm for Human detection and action recognition in videos is presented. The algorithm is based on Two-Dimensional Principal Components Analysis (2DPCA) applied to Histogram of Oriented Gradients (HOG). Due to simultaneous Human detection and action recognition employing the same algorithm, the computational complexity is reduced to a great deal. Experimental results applied to public datasets confirm these excellent properties compared to most recent methods. © 2011 IEEE.

Publication Date

10-13-2011

Publication Title

Midwest Symposium on Circuits and Systems

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/MWSCAS.2011.6026441

Socpus ID

80053641656 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/80053641656

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