Gait Recognition Based on Normalized Walk Cycles
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057394" target="_blank" >RIV/00216224:14330/12:00057394 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-33191-6_2" target="_blank" >http://dx.doi.org/10.1007/978-3-642-33191-6_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-33191-6_2" target="_blank" >10.1007/978-3-642-33191-6_2</a>
Alternative languages
Result language
angličtina
Original language name
Gait Recognition Based on Normalized Walk Cycles
Original language description
We focus on recognizing persons according to the way they walk. Our approach considers a human movement as a set of trajectories formed by specific anatomical landmarks, such as hips, feet, shoulders, or hands. The trajectories are used for the extraction of distance-time dependency signals that express how a distance between a pair of specific landmarks on the human body changes in time as the person walks. The collection of such signals characterizes a gait pattern of person's walk. To determine the similarity of gait patterns, we propose several functions that compare various combinations of extracted signals. The gait patterns are compared on the level of individual walk cycles in order to increase the recognition effectiveness. The results evaluated on a 3D database of walking humans achieved the recognition rate up to 96%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 8th International Symposium on Visual Computing (ISVC 2012), LNCS 7432
ISBN
9783642331909
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
11-20
Publisher name
Springer-Verlag
Place of publication
Heidelberg
Event location
Rethymnon, Crete, Greece
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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