Human Action Recognition by Semilatent Topic Models

We propose two new models for human action recognition from video sequences using topic models. Video sequences are represented by a novel "bag-of-words" representation, where each frame corresponds to a "word". Our models differ from previous latent topic models for visual recog...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 31; H. 10; S. 1762 - 1774
Hauptverfasser:	Yang Wang, Mori, G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms bag-of-words Cluster Analysis Computer vision Decoupling event and activity understanding Hidden Markov models Human Human action recognition Human Activities - classification Humans Image analysis Image motion analysis Image recognition Image sequence analysis Image sequences Labels Locomotion - physiology Mathematical models Models, Biological Motion Movement - physiology Object recognition Pattern Recognition, Automated - methods probabilistic graphical models Recognition Studies Training video analysis Video sequences Visual
ISSN:	0162-8828, 1939-3539
Online-Zugang:	Volltext
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