为实现稳健和精确的人脸跟踪, 充分挖掘了人脸中的颜色信息、梯度方向信息和空间结构信息。在人脸中提取眼睛、鼻子和嘴巴等显著特征子块作为跟踪子块, 在每个子块中选择最显著的特征作为跟踪的依据, 并用马尔科夫随机场建立各个子块之间的空间约束关系, 实现稳健的人脸跟踪。和若干典型跟踪算法的比较, 实验结果表明, 所提出的跟踪算法具有较好的稳健性和精确性。

To cope with the occlusion and intersection between targets and the environment, location prediction is employed in the visual tracking system. Target trace is fitted by sliding subsection polynomials based on least absolute deviation (LAD) estimation, and the future location of target is predicted with the fitted trace. Experiment results show that the proposed location prediction algorithm based on LAD estimation has significant robustness advantages over least square (LS) estimation, and it is more effective than LS-based methods in visual tracking.