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Meanshif-Detection

于 2011-04-06 发布 文件大小:303KB
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说明:  :Mean—shift算法是一种非参数密度估计算法,可以实现快速的最优匹配,在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中,采用了以方向直方图建立目标模型的策略,提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明,该算法具有不受光照条件影响的优点,在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

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