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A Scheme for Face Recognition in Complex Environments

机译:复杂环境中的人脸识别方案

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In this paper, the authors propose a scheme for human face recognition in complex environments. The proposed scheme consists of three phases: moving object removal, face detection and face recognition. It could be applied to certain specific environments such as computer users in office, shopping mall, and reception or pokie machine gamblers in casinos. In these environments, the target human face for recognizing will be considered as the foreground and the moving objects (such as cars, walking persons etc) as the background. The objective of this paper is to implement a scheme for human face recognition so as to improve recognition precision and reduce false alarms. The scheme can be applied to prevent computer users or gamblers from sitting too long in front of the screens in offices or pokie machines in casinos. To the best of the authors' knowledge, this is the first time face recognition in complex environments has been taken into consideration.
机译:在本文中,作者提出了一种在复杂环境中进行人脸识别的方案。所提出的方案包括三个阶段:运动物体去除,面部检测和面部识别。它可以应用于某些特定的环境,例如办公室,购物中心和接待处的计算机用户,或赌场中的pokie机器赌徒。在这些环境中,要识别的目标人脸将被视为前景,而移动物体(例如汽车,步行者等)将被视为背景。本文的目的是实现一种人脸识别方案,以提高识别精度,减少误报。该方案可用于防止计算机用户或赌徒在办公室或赌场的扑克机中坐在屏幕前太久。据作者所知,这是首次考虑到复杂环境中的人脸识别。

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