Assessing similarity models for human-motion retrieval applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087724" target="_blank" >RIV/00216224:14330/16:00087724 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1002/cav.1674" target="_blank" >http://dx.doi.org/10.1002/cav.1674</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cav.1674" target="_blank" >10.1002/cav.1674</a>
Alternative languages
Result language
angličtina
Original language name
Assessing similarity models for human-motion retrieval applications
Original language description
The development of motion capturing devices poses new challenges in the exploitation of human-motion data for various application fields, such as computer animation, visual surveillance, sports or physical medicine. Recently, a number of approaches dealing with motion data have been proposed, suggesting characteristic motion features to be extracted and compared on the basis of similarity. Unfortunately, almost each approach defines its own set of motion features and comparison methods, thus it is hard to fairly decide which similarity model is the most suitable for a given kind of human-motion retrieval application. To cope with this problem, we propose the HumAn Motion Model EvaluatoR (HAMMER) which is a generic framework for assessing candidate similarity models with respect to the purpose of the target application. The application purpose is specified by a user in form of a representative sample of categorized motion data.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer Animation and Virtual Worlds
ISSN
1546-4261
e-ISSN
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Volume of the periodical
27
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
484-500
UT code for WoS article
000385614100003
EID of the result in the Scopus database
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