Research On People Statistic And Abnormal Behavior Detection Techniques Of Access Control System

With the increasing emphasis on security, access control system is applied more and more widely, which aims to enable effective identification, and it also aims to accomplish exclusion of foreign workers brought insecurity risks. Since the diverse forms of access control systems, each system has its own shortcomings and limitations. In this paper, the image processing technology combined with the authentication function of the access control system is used to achieve statistic of people across the door area. The main contents are as follows:(1) A method based on trajectory analysis is adopted to achieve statistics of people across the door area. The method uses a target detection algorithm based on template matching to get the initial position information of the target, and a target tracking algorithm based on neighborhood search matching is used to get the trajectory of the target in the monitoring scene, and then the trajectory is used to determine the status of the target in or out of the door;(2) According to the actual characteristics of the monitoring scene, a target counting rule based on counting line is designed to achieve target count task. Taking into account the motion characteristics of the target in the monitoring scene and differences between target individuals and pos sible errors in target detection, four target trajectory decision rules are proposed, and the number is counted when the target trajectory meets the counting rules simultaneously;(3) Combine with the target counting method based on trajectory analysis, abnormal behavior detection system based on access control system is designed and achieved. Due to the particularity of the experimental scene in this paper, abnormal behavior like trailing through the door, and brute force open the door may happen occasionally. Based on this, abnormal detection rules is designed to detect the existing abnormal behavior.In this paper, practical as the goal, the access control system function is extended by the video surveillance technology, the statistic technique base d on image is researched, it achieved the actual situation of pedestrian through the access control system, and an abnormal behavior detection system combined with the access control system authentication function is designed to detect the existing abnormal behavior, and also achieved good results.