Particle Filter Real-Time Tracking with Multi-resolution and Multi-cue

Abstract

This paper is a new attempt to introduce a Multi-resolution and Multi-cueParticle Filter tracking method. It combines multiple features distribution and multiple resolutions to facilitate 2D video tracking from a monocular view. The method's benefits lie in its speed, its robustness. Speed is improved by multiple resolutions which reduce number of particles dramatically while keeping its quality; robustness is implemented by multiple cues. The proposed method is demonstrated on man tracking with a non-stationary camera in unconstrained outdoor environments. Result shows it is speedier and robust again background noise such as cluttered background, occlusion, color distracters and illumination change than conventional PF and PF with multi-cue.