A novel selective approach for tracking individuals in video sequences

In this paper, we present a new approach dealing with mobile object tracking in a video sequence using primitive geometric forms in real time. Our system aims to reduce execution time while searching for correspondent region, by considering some strategical neighbors (in addition to the current position) to find the object of interest, while readapting search region's size to handle false detections.