Fast face location method for video surveillance system

Hong Song*, Feng Shi, Jian Li

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

In this paper, a fast face location method for video surveillance is presented, which combines the motion information and skin-color feature. Firstly, symmetrical frame difference is used to acquire the motion area. Then, the skin-color segmentation algorithm based on BP (back-error-propagation) neural network is used to extract the face candidates in the motion area. Finally, the candidate face regions are examined with the knowledge of human face. The experimental results show that the proposed algorithm has high speed and low error-detection rate, so it can be used in the real-time video surveillance system.

源语言英语
页(从-至)30-32
页数3
期刊Jisuanji Gongcheng/Computer Engineering
31
2
出版状态已出版 - 20 1月 2005

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