基于巡逻小车的人脸遮挡异常事件实时检测

近年来，随着城市化进程的加快，银行、政府、学校等场所的安全越来越成为人们关心的问题，智能监控已成为目前的一个研究热点问题. 本文主要研究室内巡逻小车监控下，面部异常遮挡问题. 本文首先对监控视频进行前景提取；接着，基于提取的前景，进行肩部定位、头部区域椭圆拟合；然后通过肤色检测判断人脸区域；最后，通过Haar检测器检测人脸区域的眼睛和嘴巴，以此来判断是否存在异常遮挡行为. 实验结果表明，本文提出的算法能够实时、有效的检测出面部异常遮挡问题.

Real-Time Detection of Face Abnormal Occlusion Based on the Indoor Patrol Car

In recent years, with the acceleration of urbanization process, people become more concerned about security in public places like banks, official buidings and schools etc. Therefore, intelligent monitoring has become a hot topic in current research. This paper mainly studies the face abnormal occlusion events based on the indoor patrol car. Firstly, we extract the foreground of surveillance video. Then, we locate shoulders and use an ellipse to fit the area of head based on the foreground. And then, we determine the face area through the skin color rate. Lastly, we detect the eyes and mouth of the area through Haar detector to determine whether there are abnormal occlusion events. The experimental results show that the algorithm proposed can detect abnormal occlusion events effectively.