Image Analysis and Processing, International Conference on (1999)
Sept. 27, 1999 to Sept. 29, 1999
Ismail Haritaoglu , University of Maryland at College Park
David Harwood , University of Maryland at College Park
Larry S. Davis , University of Maryland at College Park
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.
L. S. Davis, I. Haritaoglu and D. Harwood, "Hydra: Multiple People Detection and Tracking Using Silhouettes," Image Analysis and Processing, International Conference on(ICIAP), Venice, Italy, 1999, pp. 280.