| 混合Kalman滤波器与Chamshift人脸跟踪算法的研究 |
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| 引用本文： | 胡章芳,杨麟.混合Kalman滤波器与Chamshift人脸跟踪算法的研究[J].重庆师专学报,2013(3):77-80. |
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| 作者姓名： | 胡章芳 杨麟 |
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| 作者单位： | 重庆邮电大学智能系统及机器人研究所,重庆400065 |
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| 基金项目： | 重庆市教委2011年度科学技术研究项目（KJll0518）. |
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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1：7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．
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| 关 键 词： | Camshift算法 人脸跟踪 Kalman滤波器 |
The research of face tracking algorithm based on hybrid Kalman and Camshift filter |
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| HU Zhangfang,YANG Lin.The research of face tracking algorithm based on hybrid Kalman and Camshift filter[J].Journal of Chongqing Teachers College,2013(3):77-80. |
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| Authors: | HU Zhangfang YANG Lin |
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| Institution: | ( Research Center of Intelligent System and Robot, Chongqing University of Posts and Telecommunications, Chongqing400065, China) |
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| Abstract: | 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. |
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| Keywords: | Camshift algorithm face tracking kalman filter |
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