Real Time Object Tracking and Identification Using a Camera

In this paper, we proposed a method for detecting and tracking of moving objects based on low resolution image employing a block matching technique and also proposed an identification method using a color and spatial information. Many tracking algorithms have better performance under static background but sometimes mistracking results are obtained under background with complex motions. Since a low resolution image has a nice property that it can remove the small size pixels, it is adopted to solve this problem due to the fact that most of the fake motions in the background have small region. In tracking the moving object, many applications have problems when objects occlude each other. The peripheral increment sign correlation is used to solve this problem. The identification object is performed using a color and spatial information of the tracked object. The experimental results prove the feasibility and usefulness of the proposed method.