Gait recognition on base of representation in spatiotemporal area

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Title	Gait recognition on base of representation in spatiotemporal area
Authors	Babii, Mykhailo Semenovych
Keywords	gait recognition Gabor wavelets CASIA database
Type	Conference Papers
Date of Issue	2017
URI	http://essuir.sumdu.edu.ua/handle/123456789/55650
Publisher	Sumy State University
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Citation	Babiy, M. Gait recognition on base of representation in spatiotemporal area [Текст] / M. Babiy // Advanced Information Systems and Technologies : proceedings of the V international scientific conference, Sumy, May 17-19 2017/ Edited by S.І. Protsenko, V.V. Shendryk. - Sumy : Sumy State University, 2017. - P. 89-91.
Abstract	New method of automatic gait recognition from video is proposed. The method works with a sequence of silhouettes derived from the video after background subtraction, decreasing shadows and noise. Two-dimensional silhouette shape is converted into one-dimensional signal presenting distance from center of gravity to outline of this silhouette. A set of signals extracted from a sequence of silhouettes forms a two-dimensional picture. The features extraction is performed using Gabor wavelets. Testing the method on the samples of CASIA gait database showed high recognition accuracy.
Appears in Collections:	Наукові видання (ЕлІТ)