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

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

CLC Number: 

• TP391.41