The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The recognition of human movement using temporal templates
Abstract
A view-based approach to the representation and recognition of human movement 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 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 matching 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 standard platforms.
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Citations
Cites
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Metadata
- Authors
- Bobick, A. F., & Davis, J. W.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2001-03
- Volume
- 23
- Issue
- 3
- Pages
- 257-267
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2165715280
- Cited by
- 2,811
- References
- 1
- FWCI
- 42.78
- Type
- journal article
- Language
- en
- Open access
- closed
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