Gait recognition on base of representation in spatiotemporal area
No Thumbnail Available
Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
Sumy State University
Theses
Date of Defense
Scientific Director
Speciality
Date of Presentation
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.
Keywords
gait, recognition, Gabor wavelets, CASIA database
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.