Target Tracking Using Kalman Filter
Prasad Kalane · 2012
One of the fundamental problems in vision is that of tracking target through sequences of images. Within this paper I discuss the design of Kalman filter algorithm to track the target and shows the resulting improvement in tracking. This is of utmost importance for high-performance real-time applications. More specifically, I describe the technique of how to track Moving Pen. Experimental results demonstrate that, the proposed algorithm is more robust in tracking performance. The proposed method is suitable for indoors as well as outdoors scenes with static background and overcomes the problem of stationary targets fading into the background .