Modified Mean-Shift for head tracking

Daeha Lee, Jaehong Kim, J. Sohn
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引用次数: 1

Abstract

Mean-Shift algorithm has been applied mode seeking, image segmentation and object tracking. It is famous for fast convergence within limited boundary. But once exit that boundary, it fails to find correct region and position. We applied mean-shift algorithm in object tracking, and we suggest modified mean-shift tracking method. Using this modified version, we can track object without failing.
修改Mean-Shift头部跟踪
Mean-Shift算法应用于模式搜索、图像分割和目标跟踪。它以在有限边界内快速收敛而著称。但一旦退出该边界,它就无法找到正确的区域和位置。将mean-shift算法应用于目标跟踪,提出了改进的mean-shift跟踪方法。使用这个修改后的版本,我们可以不出错地跟踪目标。
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