A robust 2-d head tracking is proposed which is based on histogram matching and shape constrain.

针对2维的人脸(头)跟踪的特点，提出了一种结合直方图匹配和形状约束的鲁棒跟踪方法。

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Under considering 1- D segmentation character vector, the histogram is introduced, and the speed of F CM is greatly increased.

并考虑在一维分割特征向量情况下，通过引入直方图统计特性，实现了模糊C-均值算法的快速运算。

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To confirm a weekly bottom, the MACD-Histogram needs to move above the resistance (line d).

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