A Key-Pose Similarity Algorithm for Motion Data Retrieval
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00065724" target="_blank" >RIV/00216224:14330/13:00065724 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-02895-8_60" target="_blank" >http://dx.doi.org/10.1007/978-3-319-02895-8_60</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-02895-8_60" target="_blank" >10.1007/978-3-319-02895-8_60</a>
Alternative languages
Result language
angličtina
Original language name
A Key-Pose Similarity Algorithm for Motion Data Retrieval
Original language description
Analysis of human motion data is an important task in many research fields such as sports, medicine, security, and computer animation. In order to fully exploit motion databases for further processing, effective and efficient retrieval methods are needed. However, such task is difficult primarily due to complex spatio-temporal variances of individual human motions and the rapidly increasing volume of motion data. In this paper, we propose a universal content-based subsequence retrieval algorithm for indexing and searching motion data. The algorithm is able to examine database motions and locate all their sub-motions that are similar to a query motion example. We illustrate the algorithm usability by indexing motion features in form of joint-angle rotations extracted from a real-life 68-minute human motion database. We analyse the algorithm time complexity and evaluate retrieval effectiveness by comparing the search results against user-defined ground truth.
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)
Others
Publication year
2013
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 12th International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS 2013), LNCS 8192
ISBN
9783319028941
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
669-681
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Poznan, Poland
Event date
Jan 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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