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Detection and location of people in video images using adaptive fusion of color and edge information
Abstract
A new method of finding people in video images is presented. The detection is based on a novel background modeling and subtraction approach which uses both color and edge information. We introduce confidence maps gray-scale images whose intensity is a function of confidence that a pixel has changed - to fuse intermediate results and represent the results of background subtraction. The latter is used to delineate a person's body by guiding contour collection to segment the person from the background. The method is tolerant to scene clutter, slow illumination changes, and camera noise, and runs in near real time on a standard platform.
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Cited by
A texture-based method for modeling the background and detecting moving objects
Heikkila, M., & Pietikainen, M. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.68 · Cited by 1,249
Duric, Z., Gray, W. D., Heishman, R., Li, F., Rosenfeld, A., Schoelles, M. J., Schunn, C., & Wechsler, H. (2002) · Proceedings of the IEEE · doi:10.1109/jproc.2002.801449 · Cited by 185
Self-citation(2013) · Cited by 76
Metadata
- Authors
- Jabri, S., Duric, Z., Wechsler, H., & Rosenfeld, A.
- Venue
- Proceedings 15th International Conference on Pattern Recognition. ICPR-2000
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-11
- Volume
- 4
- Pages
- 627-630
- ISSN
- 1041-3278 (ISSN-L)
- OpenAlex
- W2169282240
- Cited by
- 249
- References
- 0
- FWCI
- 10.66
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Detection and location of people in video images using adaptive fusion of color and edge information. https://app.cochat.ai/papers/10.1109/icpr.2000.902997
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- Jabri, S., Duric, Z., Wechsler, H., & Rosenfeld, A. (2002). Detection and location of people in video images using adaptive fusion of color and edge information. Proceedings 15th International Conference on Pattern Recognition. ICPR-2000. https://doi.org/10.1109/icpr.2000.902997
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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.
