期刊文献+

混合Kalman滤波器与Chamshift人脸跟踪算法的研究

The research of face tracking algorithm based on hybrid Kalman and Camshift filter
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摘要 文章通过Kalman滤波器预测由Camshift算法检测到的人脸窗口在下一帧图像可能出现的位置,进行下一帧图像的人脸跟踪.其中,Kalman滤波器的使用克服了单纯使用Cam-shift跟踪在遮挡或者丢失跟踪物体的不足,可以大大提高人脸跟踪的正确率. By predicting the face window' s possible location in the next frame by Kalman filter algorithm the human face by the Camshift was traced. The new algorithm overcomes missing objects when tracking or blocking, greatly improving the accuracy of face tracking.
作者 胡章芳 杨麟
出处 《重庆文理学院学报(社会科学版)》 2013年第3期77-80,共4页 Journal of Chongqing University of Arts and Sciences(Social Sciences Edition)
基金 重庆市教委2011年度科学技术研究项目(KJ110518)
关键词 CAMSHIFT算法 人脸跟踪 KALMAN滤波器 Camshift algorithm face tracking kalman filter
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参考文献9

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