Gait recognition on base of representation in spatiotemporal area
| dc.contributor.author | Бабій, Михайло Семенович | |
| dc.contributor.author | Бабий, Михаил Семенович | |
| dc.contributor.author | Babii, Mykhailo Semenovych | |
| dc.date.accessioned | 2017-06-21T06:35:37Z | |
| dc.date.available | 2017-06-21T06:35:37Z | |
| dc.date.issued | 2017 | |
| dc.description.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. | ru_RU |
| dc.identifier.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. | ru_RU |
| dc.identifier.sici | 0000-0002-2925-857X | en |
| dc.identifier.uri | http://essuir.sumdu.edu.ua/handle/123456789/55650 | |
| dc.language.iso | en | ru_RU |
| dc.publisher | Sumy State University | ru_RU |
| dc.rights.uri | cne | en_US |
| dc.subject | gait | ru_RU |
| dc.subject | recognition | ru_RU |
| dc.subject | Gabor wavelets | ru_RU |
| dc.subject | CASIA database | ru_RU |
| dc.title | Gait recognition on base of representation in spatiotemporal area | ru_RU |
| dc.type | Theses | ru_RU |