RAPID HUMAN ACTION RECOGNITION IN H.264/AVC COMPRESSED DOMAIN FOR VIDEO SURVEILLANCE

Tom, Manu and Babu, Venkatesha R (2013) RAPID HUMAN ACTION RECOGNITION IN H.264/AVC COMPRESSED DOMAIN FOR VIDEO SURVEILLANCE. In: IEEE .

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Abstract

This paper discusses a novel high-speed approach for human action recognition in H. 264/AVC compressed domain. The proposed algorithm utilizes cues from quantization parameters and motion vectors extracted from the compressed video sequence for feature extraction and further classification using Support Vector Machines (SVM). The ultimate goal of our work is to portray a much faster algorithm than pixel domain counterparts, with comparable accuracy, utilizing only the sparse information from compressed video. Partial decoding rules out the complexity of full decoding, and minimizes computational load and memory usage, which can effect in reduced hardware utilization and fast recognition results. The proposed approach can handle illumination changes, scale, and appearance variations, and is robust in outdoor as well as indoor testing scenarios. We have tested our method on two benchmark action datasets and achieved more than 85% accuracy. The proposed algorithm classifies actions with speed (>2000 fps) approximately 100 times more than existing state-of-the-art pixel-domain algorithms.

Item Type:	Journal Article
Publication:	IEEE
Publisher:	IEEE
Additional Information:	copyright for this article belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords:	H.264/AVC; Human action recognition; Compressed domain video analysis; Motion vectors; Quantization parameters
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	09 Jun 2014 09:54
Last Modified:	09 Jun 2014 09:54
URI:	http://eprints.iisc.ac.in/id/eprint/49236

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