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Simultaneous Human detection and action recognition employing 2DPCA-HOG

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4 Author(s)
Naiel, M.A. ; Nile Univ., Sixth October, Egypt ; Abdelwahab, M.M. ; Elsaban, M. ; Mikhael, W.B.

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.

Published in:

Circuits and Systems (MWSCAS), 2011 IEEE 54th International Midwest Symposium on

Date of Conference:

7-10 Aug. 2011