A face tracking algorithm based on LBP histograms and particle filtering
A face tracking algorithm based on LBP histograms and particle filtering
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DOI：
10.1109/icnc.2010.5584200
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发表时间：
2010-09
期刊：
影响因子：
--
通讯作者：
Jianhua Ye;Zhengguang Liu;Jun Zhang
中科院分区：
文献类型：
--
作者：
Jianhua Ye;Zhengguang Liu;Jun Zhang
提出了一种基于局部二值模式直方图和粒子滤波的人脸跟踪算法。采用均值移位算法对人脸区域进行粗定位。在加入小随机噪声的情况下，粒子可以有效地传播。由于颜色直方图作为人脸的表示很容易受到肤色背景的干扰。LBP直方图被用作人脸的表示。为了减轻光照变化的影响，在一定条件下对人脸模板进行更新。实验结果表明，该算法优于CAMSHIFT算法和基于颜色直方图的粒子滤波算法。
A face tracking algorithm based on LBP (Local Binary Pattern) histograms and particle filtering is presented in this paper. The mean shift algorithm is adopted to locate the face region coarsely. Then the particles can be propagated efficiently with small random noise added. Since color histograms as face representation can be disturbed easily by the background with skin color. LBP histograms are used as the representation of faces. In order to alleviate the influence of light variance, the face template is updated under certain condition. The experimental results show that the proposed algorithm is superior to the CAMSHIFT algorithm and the particle filter based on color histograms.