动态图像中人脸的快速捕捉跟踪方法

摘要

A fast face capturing and tracking method in motion image is proposed, first the face area is located according to the template matching filtering, next the SVM serves as a classifier for final confirmation, then a CamShift tracking method based on Mean-Shift is used to keep the tracking, and parameter identifying and state estimating are carried out through Kalman filter while occlusions take place. The method has been demonstrated to be real time, efficient and robust by experiments.%提出一种快速人脸跟踪方法. 首先根据模板匹配方法作人脸区域的初步定位, 然后使用支持向量机作为分类器进行最终确认, 再采用基于Mean-Shift的CamShift跟踪算法保持跟踪, 当有遮挡发生时通过Kalman滤波进行参数辨识和状态估计. 实验结果表明, 该方法具有较强的实时性、有效性和鲁棒性.