Visual Tracking Based on Region Correlation Descriptor

During the past few years, much effort has been made to enhance the performance of visual tracking by combining multiple features. In this paper, we propose a tracking algorithm based on region correlation descriptor, which can provide an elegant solution to fuse multiple features for representing the object Besides, we suggest a method to find the best matching region by calculating a centroid estimated from a set of candidate points in searching window. The robustness and accuracy of our algorithm have been demonstrated by experiments.