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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Abd-Almageed, W., & Davis, L. S. (2007). Robust appearance modeling for pedestrian and vehicle tracking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4122 LNCS, pp. 209–215). Springer Verlag. https://doi.org/10.1007/978-3-540-69568-4_17
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