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首页> 外文会议>Biennial Australian Pattern Recognition Society Conference(DICTA2003) v.2; 2003; Sydney; AU >Real-Time Surveillance System by Use of the Face Understanding Technologies
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Real-Time Surveillance System by Use of the Face Understanding Technologies

机译：利用人脸理解技术的实时监控系统

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摘要

This paper introduced a human surveillance system which integrated the face understanding technologies to recognize personal identities in real time. We proposed a coarse-to-fine strategy to find out faces quickly and accurately. The global features of faces are used to reduce the search areas while the local ones are utilized to refine the faces' positions. Tracking and maintaining these faces all the time also help the detection on next frame. Finally, facial features are estimated and the results of before frames are combined to make the system more stable and robust to unexpected human activities. More than 60 persons of an on-line experiment were trained in the natural environment. Each of them was effectively recognized in terms of the system correctness and performance.
机译：本文介绍了一种人类监视系统，该系统集成了面部识别技术以实时识别个人身份。我们提出了一种从粗到细的策略来快速准确地找出人脸。面孔的全局特征用于减少搜索区域，而局部特征则用于优化面孔的位置。始终跟踪和维护这些面孔也有助于下一帧的检测。最后，估计面部特征并将之前的帧结果组合在一起，以使系统对意外的人类活动更加稳定和健壮。在自然环境中对60多人的在线实验进行了培训。就系统的正确性和性能而言，它们中的每一个都得到了有效的认可。

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