A block matching technique for object tracking employing peripheral increment sign correlation image

In this paper, we propose a new technique to detect and track the interested moving person employing a block matching technique. The blocks are defined by dividing the image frame into non-overlapping square parts and made in the previous and current frame. The blocks are made based on the peripheral increment sign correlation image. The increment sign of each block is calculated by comparing the pixel value of the neighborhood to the considered pixel. The correlation value between each block in the previous and current frame is calculated to evaluate the matching block. The high correlation value shows that the block is matched. The interested moving object is determined when the number of matching blocks in the previous and current frame is higher than a certain threshold value. Our method is implemented in real time application by using a camera and the satisfied results are achieved.