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Hydra: multiple people detection and tracking using silhouettes
Abstract
Hydra is a real-time system for detecting and tracking multiple people when they appear in a group. We describe the computational models employed by Hydra to track multiple people before, during and after occlusion. Hydra combines a silhouette-based shape model, a motion model, and correlation-based matching methods to classify whether or not a foreground region contains multiple people, and to segment the region into its constituent people and track them. Experimental results demonstrate robustness and real-time performance of the algorithm.
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Cited by
A survey of active and passive indoor localisation systems
Deak, G., Curran, K., & Condell, J. (2012) · Computer Communications · doi:10.1016/j.comcom.2012.06.004 · Cited by 408
Object Detection, Classification and Tracking Methods for Video Surveillance: A Review
Joshi, R. C., Joshi, M., Singh, A. G., & Mathur, S. (2018) · 2018 4th International Conference on Computing Communication and Automation (ICCCA) · doi:10.1109/ccaa.2018.8777708 · Cited by 17
Real-Time Pedestrian Detection Using Support Vector Machines
Kang, S., Byun, H., & Lee, S.-W. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45665-1_21 · Cited by 16
Metadata
- Authors
- Haritaoglu, I., Harwood, D., & Davis, L. S.
- Venue
- Proceedings 10th International Conference on Image Analysis and Processing
- Publisher
- IEEE Comput. Soc
- Published
- 2003-01-20
- Pages
- 280-285
- OpenAlex
- W2118440878
- Cited by
- 163
- References
- 0
- FWCI
- 13.57
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hydra: multiple people detection and tracking using silhouettes. https://app.cochat.ai/papers/10.1109/iciap.1999.797608
- The paper
- Haritaoglu, I., Harwood, D., & Davis, L. S. (2003). Hydra: multiple people detection and tracking using silhouettes. Proceedings 10th International Conference on Image Analysis and Processing. https://doi.org/10.1109/iciap.1999.797608
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