Robust Likelihood Model for Illumination Invariance in Particle Filtering.

Tracking visual targets in an unconstrained environment is challenging due to variations in illumination, scale, occlusion, and motion blur, for example. Many video applications that utilize particle filter-based visual target trackers require tracking of visual targets under varying illuminations. Similarity measures and likelihood estimation strongly influence the performance of particle filters...