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.

Date

2006

Authors

Wael Abd-Almageed, Larry S Davis

Book

International Evaluation Workshop on Classification of Events, Activities and Relationships

Pages

209-215

Publisher

Springer Berlin Heidelberg