People tracking and counting for applications in video surveillance system

This paper proposes a vision-based people counting system to count the number of persons entering or leaving the entrance of building. First, we develop a so-called adaptive AV codebook background model to segment foreground objects. In ROI (range of interest), we use the template matching method to find the objects, and then apply Hough transform to detect head contours to verify whether the object is a person. Second, we locate personal location and record the bottom center point as the trajectory point. We compute the color distance between the previous and current tracked object, and link the center points which belong the same person as the trajectory. Finally we analyze the trajectory to determine whether the person enters or exits or just passes by the entrance. The experimental results are illustrated to verify the system performance.