The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
The representation and recognition of human movement using temporal templates
Abstract
A new view-based approach to the representation and recognition of action is presented. The basis of the representation is a temporal template-a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image sequence. Using 18 aerobics exercises as a test domain, we explore the representational power of a simple, two component version of the templates: the first value is a binary value indicating the presence of motion, and the second value is a function of the recency of motion in a sequence. We then develop a recognition method which matches these temporal templates against stored instances of views of known actions. The method automatically performs temporal segmentation, is invariant to linear changes in speed, and runs in real-time on a standard platform. We recently incorporated this technique into the KIDSROOM: an interactive, narrative play-space for children.
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Citations
Cites
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Self-citationFacial expression recognition using a dynamic model and motion energy
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Low level recognition of human motion (or how to get your man without finding his body parts)
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Cited by
View invariant human action recognition using histograms of 3D joints
Xia, L., Chen, C.-C., & Aggarwal, J. K. (2012) · 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2012.6239233 · Cited by 1,452
Recent developments in human motion analysis
Wang, L., Hu, W., & Tan, T. (2003) · Pattern Recognition · doi:10.1016/s0031-3203(02)00100-0 · Cited by 962
Motion segmentation and pose recognition with motion history gradients
Bradski, G. R., & Davis, J. W. (2002) · Machine Vision and Applications · doi:10.1007/s001380100064 · Cited by 320
Self-citationLayered representations for learning and inferring office activity from multiple sensory channels
Oliver, N., Garg, A., & Horvitz, E. (2004) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.02.004 · Cited by 316
Gait Components and Their Application to Gender Recognition
Li, X., Maybank, S. J., Yan, S., Tao, D., & Xu, D. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.913886 · Cited by 300
Metadata
- Authors
- Davis, J. W., & Bobick, A. F.
- Venue
- Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-22
- Pages
- 928-934
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2144761589
- Cited by
- 503
- References
- 17
- FWCI
- 24.53
- Type
- conference paper
- Language
- en
- Open access
- closed
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