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基于肤色模型和CAMShift算法的人脸检测与跟踪研究 被引量：1

Research on Face Detect and Tracking Based on Skin-Color Model and CAMShift Algorithm
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摘要 讨论并实现一个基于肤色模型和CAMShift方法的人脸检测与跟踪原型系统。该系统采用肤色模型分割出视频帧中的肤色区域与非肤色区域以检测出人脸,利用CAMShift算法跟踪运动的人脸,完成对人脸各种姿态的跟踪,具有较好的实时性和鲁棒性。 Discusses a method for human face detection and tracking based on skin-color model and continuously adaptive mean shift algorithm and realizes a corresponding prototype. This method uses skin-color model to separate skin-tone regions from non-face regions in the video frame, and then uses the CAM Shift algorithm tracking the face detected before. The experiment shows that it can robustly track human faces with different poses in real-time.
作者 朱凯 杨倩倩
机构地区 华南农业大学信息学院 华中科技大学计算机学院
出处 《现代计算机》 2009年第6期60-62,共3页 Modern Computer
关键词 肤色模型 CAMSHIFT算法 人脸检测 人脸跟踪 Skin-Color Model CAMShift Algorithm Face Detect Face Tracking
分类号 TP391.41 [自动化与计算机技术—计算机应用技术] TN953 [电子电信—信号与信息处理]
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参考文献7

二级参考文献194

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共引文献611

同被引文献14

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现代计算机
2009年 第6期

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