基于机器视觉的口岸尾随行为检测方法研究OA

To detect the behavior of unauthorized individuals tailgating legitimate passengers at self-service border control gates,this paper studies the detection of tailgating behavior using a scheme of analyzing pedestrian motion attribute characteristics by Target Detection and target tracking method.First,the behavior is defined through an interdisciplinary content.Then,a Target Detection algorithm is used to identify the legitimate individuals passing through the gates.A target tracking algorithm is applied to extract the movement trajectories of the subjects,obtaining the spatial relationship between suspicious individuals and legitimate passengers.The movement attributes of the targets are quantitatively studied,the threshold is set,the movement characteristics of individuals are analyzed,and the follow-up judgment results are obtained.This enables the representation of tailgating behavior and the construction of an automatic recognition model for tailgating behavior in specific scenarios.Experimental results show that this algorithm can effectively detect tailgaters in border inspection halls and achieve safe management and control of risky behaviors within the area.