中文摘要：

为了跟踪人体的运动轨迹，结合人体运动图像的颜色特征、预测目标位置特征和运动连续性特征，提出一种面向视觉跟踪的多线索融合算法．该算法采用连续自适应均值漂移技术，其中，颜色特征采用色调和饱和度特征、红色信道特征、绿色信道特征以及蓝色信道特征，对于遮挡和位姿的改变实现了较好的鲁棒性；预测目标位置特征利用帧差技术实现；运动连续性特征根据帧间连续性完成．实验结果表明，文中算法比单一线索的算法更加鲁棒，取得了比协作均值漂移跟踪算法更好的跟踪效果，并可以处理目标被部分遮挡、目标环境的颜色饱和度较低等情况．

英文摘要：

A novel multi-cue fusion algorithm is proposed for visual tracking of human motion with three common used cues： color, target position prediction and motion continuity. The algorithm adopts continuously adaptive mean shift （CAMSHIFT） technique, and is robust to partial occlusion, pose variations as well as color saturation. More specifically, in our algorithm, the color feature includes feature of hue and saturation, feature of R（red） channel, feature of G（green） channel, feature of B（hlue） channel, the target position prediction is based on the frames difference, and the motion continuity is computed according to the continuity among frames. Experimental results show that our proposed multi-cue fusion algorithm is more robust than the traditional single cue based one and can achieve better tracking effect than the collaborative mean shift tracking（CMET）.