Identifying Walk Cycles for Human Recognition

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Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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VALČÍK Jakub SEDMIDUBSKÝ Jan BALÁŽIA Michal ZEZULA Pavel

Rok publikování 2012
Druh Článek ve sborníku
Konference Proceedings of Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1007/978-3-642-30428-6_10
Obor Informatika
Klíčová slova gait recognition; walk cycle identification; time normalization; similarity distance
Popis 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.
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