Robust Adaptive Patch-Based Object Tracking Using Weighted Vector Median Filters

This paper presents a novel patch-based approach for object tracking robust to partial and short-time total occlusions. Initially, the original template is divided into rectangular sub regions (patches), and each patch is tracked independently. The displacement of the whole template is obtained using a weighted vector median filter that combines the displacement of each patch and also a predicted displacement computed based on the previous frames. An updating scheme is also applied to cope with appearance changes of the template. Experimental results indicate that the proposed scheme is robust to partial and short-time total occlusions, presenting a good compromise between accuracy and execution time when compared to other competitive approaches.