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计算机工程 ›› 2006, Vol. 32 ›› Issue (15): 39-40,4. doi: 10.3969/j.issn.1000-3428.2006.15.014

• 博士论文 • 上一篇    下一篇

基于特征三角形的多姿态视频图像人脸跟踪

杨秋芬;桂卫华;周书仁   

  1. 中南大学信息工程学院,长沙 410083
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-08-05 发布日期:2006-08-05

Pose-varied Face Tracking Based Feature Triangle in Video

YANG Qiufen;GUI Weihua;ZHOU Shuren   

  1. College of Information Engineering, Central South University, Changsha 410083
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-08-05 Published:2006-08-05

摘要: 提出了一种能在复杂环境中进行人脸跟踪的鲁棒、有效的视频图像人脸跟踪的算法。该算法根据面部特征构造特征三角形包括等腰三角形和直角三角形,根据刚体约束生成潜在人脸跟踪矩形区域。该算法能够在不同尺寸、不同光照、不同姿态和不同表情甚至不同噪音情况下检测人脸,有效率达98.18%。

关键词: 人脸检测, 人脸跟踪, 特征三角形

Abstract: A robust and efficient human face tracking algorithm in video that can detect faces in complex backgrounds is presented. The algorithm can conquer different sizes,different lighting conditions,varing pose and expression,and noise problems. The algorithm can also detect faces from the side way. Experimental results demonstrate that an approximately 98% success rate is achieved.

Key words: Face detection, Face tracking, Feature triangle

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