Personal access control system using moving object detection and face recognition

V. Zeljkovic, Du Zhang, V. Valev, Zhongyu Zhang, Sheng-Jun Zhu, Junjie Li
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引用次数: 1

Abstract

Real time automated personal access control system is proposed in order to detect the moving objects, localize, extract and recognize their faces in real image sequence. The described method encompasses two important issues in personal access control system that receives increased attention over years: moving object detection and face recognition. It is tested on personal access controlled area video testing. The efficiency of the described system is illustrated on four real world interior video sequences recorded in indoor/outdoor mixed environment with slight illumination changes.
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个人门禁系统采用运动物体检测和人脸识别
为了在实时图像序列中检测运动物体,对其进行定位、提取和人脸识别,提出了实时自动门禁系统。所描述的方法涵盖了近年来受到越来越多关注的个人门禁系统中的两个重要问题:运动物体检测和人脸识别。在个人门禁控制区视频测试中进行了测试。通过在室内/室外混合环境中记录的四个真实室内视频序列,说明了该系统的效率。
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