The DOI matches its Crossref record.
Real-time closed-world tracking
Abstract
A real-time tracking algorithm that uses contextual information is described. The method is capable of simultaneously tracking multiple, non-rigid objects when erratic movement and object collisions are common. A closed-world assumption is used to adaptively select and weight image features used for correspondence. Results of algorithm testing and the limitations of the method are discussed. The algorithm has been used to track children in an interactive, narrative playspace.
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Citations
Cited by
Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
W/sup 4/: real-time surveillance of people and their activities
Haritaoglu, I., Harwood, D., & Davis, L. S. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868683 · Cited by 2,523
Metadata
- Authors
- Intille, S. S., 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
- 697-703
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2105238356
- Cited by
- 256
- References
- 0
- FWCI
- 19.30
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Real-time closed-world tracking. https://app.cochat.ai/papers/10.1109/cvpr.1997.609402
- The paper
- Intille, S. S., Davis, J. W., & Bobick, A. F. (2002). Real-time closed-world tracking. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.1997.609402
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
