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计算机工程 ›› 2011, Vol. 37 ›› Issue (20): 166-168. doi: 10.3969/j.issn.1000-3428.2011.20.057

• 人工智能及识别技术 • 上一篇    下一篇

实时视频中的快速人脸检测方法

索璐静,陆小锋,陆亨立,张晶晶,范天翔   

  1. (上海大学通信与信息工程学院,上海 200072)
  • 收稿日期:2011-04-14 出版日期:2011-10-20 发布日期:2011-10-20
  • 作者简介:索璐静(1986-),女,硕士,主研方向:嵌入式智能视频信号处理;陆小锋,实验师;陆亨立,高级工程师;张晶晶,学士;范天翔,高级工程师
  • 基金资助:
    上海大学创新基金资助项目(A10-0107-09-902)

Fast Face Detection Method in Real-time Video

SUO Lu-jing, LU Xiao-feng, LU Heng-li, ZHANG Jing-jing, FAN Tian-xiang   

  1. (School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China)
  • Received:2011-04-14 Online:2011-10-20 Published:2011-10-20

摘要: 提出一种实时视频中的快速人脸检测方法。采用DirectShow获取和回放视频帧,进行前处理。对所得彩色图像进行肤色分割,通过肤色的统计特性得到人脸候选区域,将该区域设置为感兴趣区域。运用基于局部扫描的AdaBoost算法对每个感兴趣区域进行检测。实验结果证明了该方法的有效性。

关键词: 人脸检测, DirectShow技术, 肤色分割, AdaBoost算法, 局部扫描

Abstract: This paper proposes a fast face detection method in real-time video. It uses the DirectShow technology to grab the video frame, which has significantly increased system speed. After some pre-processes, the system detects the skin color by the statistical property of human skin to make the skin areas as the regions of interests. And these regions of interests are scanned by this improved AdaBoost algorithm for the further detection. Experimental results proves the validity of this method.

Key words: face detection, DirectShow, skin color segmentation, AdaBoost algorithm, partial scan

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