Identifying Walk Cycles for Human Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057307" target="_blank" >RIV/00216224:14330/12:00057307 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-30428-6_10" target="_blank" >http://dx.doi.org/10.1007/978-3-642-30428-6_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-30428-6_10" target="_blank" >10.1007/978-3-642-30428-6_10</a>
Alternative languages
Result language
angličtina
Original language name
Identifying Walk Cycles for Human Recognition
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
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)
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 Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2012), LNCS 7299
ISBN
9783642304279
ISSN
0302-9743
e-ISSN
—
Number of pages
9
Pages from-to
127-135
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Kuala Lumpur, Malaysia
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—