The algorithm is robust for cases where target occlusion and rapidshape change exist. Results by computer simulation show that the performance of the algorithm proposed is satisfactory.
算法对目标遮挡和形状变化较大的情形有鲁棒性，计算机模拟实验的结果验证了算法的良好性能。
The results demonstrated that the algorithm has great improvement relative to mean shift, it could detect and track the video moving target continuously and had preferable robustness for occlusion.
实验结果表明，本算法相对于均值偏移算法有较好的改进，能对视频中的运动目标实现检测和连续跟踪，对遮挡也有较好的鲁棒性。
In order to overcome the target recognition difficulties caused by the noise, occlusion and the changing of the background, a lot of tracking algorithms have been proposed.
为了克服噪声、遮挡、背景的改变等对目标识别带来的困难，出现了很多的跟踪算法。
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