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HUMAN DETECTION USING SPARSE REPRESENTATION

Vinay, Krishna G and Haque, SM and Babu, Venkatesh R and Ramakrishnan, KR (2012) HUMAN DETECTION USING SPARSE REPRESENTATION. In: IEEE International Conference on Acoustics, Speech and Signal Processing , MAR 25-30, 2012 , Kyoto, JAPAN, pp. 1513-1516.

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Official URL: http://dx.doi.org/10.1109/ICASSP.2012.6288178

Abstract

The problem of human detection is challenging, more so, when faced with adverse conditions such as occlusion and background clutter. This paper addresses the problem of human detection by representing an extracted feature of an image using a sparse linear combination of chosen dictionary atoms. The detection along with the scale finding, is done by using the coefficients obtained from sparse representation. This is of particular interest as we address the problem of scale using a scale-embedded dictionary where the conventional methods detect the object by running the detection window at all scales.

Item Type: Conference Paper
Additional Information: Copyright for this article belongs to IEEE, NEW YORK,
Keywords: Human Detection;Histogram of Oriented Gradients(HOG);l(1)-norm minimization;Sparse representation;Scale-embedded Dictionary
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Electrical Sciences > Electrical Engineering
Division of Interdisciplinary Research > Supercomputer Education & Research Centre
Depositing User: Francis Jayakanth
Date Deposited: 12 Feb 2013 11:01
Last Modified: 12 Feb 2013 11:01
URI: http://eprints.iisc.ac.in/id/eprint/45808

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