Moving Object Tracking Based On Feedback Particle Filter Technique

This paper proposed a new method for moving object tracking based on the feedback particle filter technique. The Gain function and innovation error are the key factors of feedback particle filter (FPF). The FPF performs very well in non-linear tracking estimation although it received much attention from researchers in this field. A robust and effective color-based target tracking algorithm using a feedback particle filter is proposed which is very well applicable in the field of visual target tracking. The experiment has been performed on real time and recorded videos. This proposed model perform quite efficient result in tracking moving objects. This paper concludes that proposed technique perform efficient tracking as compare to conventional technique.