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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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 31; no. 10; pp. 1762 - 1774
Main Authors:	Yang Wang, Mori, G.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2009 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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