中文摘要：

针对目标运动过程中的姿态变化、旋转、干扰以及缩放等情况,提出了结合像素点特征加权的尺度自适应跟踪算法。首先利用目标区域中每个像素点的颜色特征和位置特征,建立目标模型;其次用目标的平均权值图估算尺度变化系数,以实现目标尺度的自适应;最后构建一个更新模型,对跟踪过程中的目标模型和背景模型进行更新。实验表明,提出的算法充分利用目标区域内各像素点间的差异,可以做到快速、有效的跟踪,且具有较强的顽健性。

英文摘要：

An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations, such as target movement, rotation, background interference and scaling and so on. First, the color feature and location information of the pixels in the target area were used to build the object model. Then the average weight image was used to estimate the scale variation coefficient. The aim was to adapt to the scale changes of the target. Finally, an update model was proposed, which was able to renew the object model and background model. The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area, so it can track more quickly and more effectively with strong robustness.