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Video-Based Human Behavior Understanding: A Survey.
- Source :
-
IEEE Transactions on Circuits & Systems for Video Technology . Nov2013, Vol. 23 Issue 11, p1993-2008. 16p. - Publication Year :
- 2013
-
Abstract
- Understanding human behaviors is a challenging problem in computer vision that has recently seen important advances. Human behavior understanding combines image and signal processing, feature extraction, machine learning, and 3-D geometry. Application scenarios range from surveillance to indexing and retrieval, from patient care to industrial safety and sports analysis. Given the broad set of techniques used in video-based behavior understanding and the fast progress in this area, in this paper we organize and survey the corresponding literature, define unambiguous key terms, and discuss links among fundamental building blocks ranging from human detection to action and interaction recognition. The advantages and the drawbacks of the methods are critically discussed, providing a comprehensive coverage of key aspects of video-based human behavior understanding, available datasets for experimentation and comparisons, and important open research issues. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 10518215
- Volume :
- 23
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems for Video Technology
- Publication Type :
- Academic Journal
- Accession number :
- 91789668
- Full Text :
- https://doi.org/10.1109/TCSVT.2013.2270402