Robust appearance modeling for pedestrian and vehicle tracking

Authors:
Wael Abd-Almageed;Larry S. Davis
Affiliations:
Institute for Advanced Computer Studies, University of Maryland, College Park, MD;Institute for Advanced Computer Studies, University of Maryland, College Park, MD
Venue:
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Year:
2006

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Abstract

This paper describes a system for tracking people and vehicles for stationary-camera visual surveillance. The appearance of objects being tracked is modeled using mixtures of mixtures of Gaussians. Particles filters are used to track the states of object. Results show the robustness of the system to various lighting and object conditions.