Semantically Consistent Human Motion Segmentation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00073223" target="_blank" >RIV/00216224:14330/14:00073223 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-10073-9_36" target="_blank" >http://dx.doi.org/10.1007/978-3-319-10073-9_36</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-10073-9_36" target="_blank" >10.1007/978-3-319-10073-9_36</a>
Alternative languages
Result language
angličtina
Original language name
Semantically Consistent Human Motion Segmentation
Original language description
The development of motion capturing devices like Microsoft Kinect poses new challenges in the exploitation of human-motion data for various application fields, such as computer animation, visual surveillance, sports or physical medicine. In such applications, motion segmentation is recognized as one of the most fundamental steps. Existing methods usually segment motions at the level of logical actions, like walking or jumping, to annotate the motion segments by textual descriptions. Although the action-level segmentation is convenient for motion summarization and action retrieval, it does not suit for general action-independent motion retrieval. In this paper, we introduce a novel semantically consistent algorithm for partitioning motions into short and further non-divisible segments. The property of semantic consistency ensures that the start and end of each segment are detected at semantically equivalent phases of movement to support general motion retrieval.
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
2014
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 25th International Conference on Database and Expert Systems Applications (DEXA 2014), LNCS 8644
ISBN
9783319100722
ISSN
0302-9743
e-ISSN
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Number of pages
15
Pages from-to
423-437
Publisher name
Springer
Place of publication
Switzerland
Event location
Munich, Germany
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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