An Adaptive Object Tracking Using Kalman Filter and Probability Product Kernel
Hamd Ait Abdelali, Fedwa Essannouni, Leila Essannouni, Driss Aboutajdine · Modelling and Simulation in Engineering · 2016
We present a new method for object tracking; we use an efficient local search scheme based on the Kalman filter and the probability product kernel (KFPPK) to find the image region with a histogram most similar to the histogram of the tracked target. Experimental results verify the effectiveness of this proposed system.