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@inproceedings{976628,
author = {Valčík, Jakub and Sedmidubský, Jan and Balážia, Michal and Zezula, Pavel},
address = {Berlin},
booktitle = {Proceedings of Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012)},
doi = {http://dx.doi.org/10.1007/978-3-642-30428-6_10},
edition = {LNCS 7299},
editor = {M. Chau, G. Alan Wang, Wei Thoo Yue, Hsinchun Chen},
keywords = {gait recognition; walk cycle identification; time normalization; similarity distance},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Berlin},
isbn = {978-3-642-30427-9},
pages = {127-135},
publisher = {Springer-Verlag},
title = {Identifying Walk Cycles for Human Recognition},
year = {2012}
}
TY - JOUR
ID - 976628
AU - Valčík, Jakub - Sedmidubský, Jan - Balážia, Michal - Zezula, Pavel
PY - 2012
TI - Identifying Walk Cycles for Human Recognition
PB - Springer-Verlag
CY - Berlin
SN - 9783642304279
KW - gait recognition
KW - walk cycle identification
KW - time normalization
KW - similarity distance
N2 - We concentrate on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories of hips, knees, and feet captured as the person walks. The trajectories are used for the extraction of viewpoint invariant planar signals that express how a distance between a pair of specific points on the human body changes in time. We solely focus on analysis and normalization of extracted signals to simplify their similarity comparison, without presenting any specific gait recognition method. In particular, we propose a novel method for automatic determination of walk cycles within extracted signals and evaluate its importance on a real-life human motion database.
ER -
VALČÍK, Jakub, Jan SEDMIDUBSKÝ, Michal BALÁŽIA a Pavel ZEZULA. Identifying Walk Cycles for Human Recognition. In M. Chau, G. Alan Wang, Wei Thoo Yue, Hsinchun Chen. \textit{Proceedings of Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012)}. LNCS 7299. Berlin: Springer-Verlag. s.~127-135. ISBN~978-3-642-30427-9. doi:10.1007/978-3-642-30428-6\_{}10. 2012.
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