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A head pose detection algorithm based on template match

机译:基于模板匹配的头姿势检测算法

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Visual analysis of human movement is a hot topic in the field of computer vision. A novel algorithm- column integral, speed up the head location, and has the more precision than previous algorithm. A head turning detection algorithm has been presented, which based on the color information of each space branch area and template match, and it is simple and effective. The experiment result indicate that the proposed algorithm has a good real-time performance, the improved head positioning algorithm can reduce by 1.24 ms than the similar algorithm in once position, and accuracy of the head turning detection algorithm can reach 92%.
机译:人类运动的视觉分析是计算机视野领域的热门话题。 一种新颖的算法 - 列积分,加速头部位置,并且具有比上一个算法更精确。 呈现了头部转动检测算法,其基于每个空间分支区域和模板匹配的颜色信息,并且简单且有效。 实验结果表明,所提出的算法具有良好的实时性能,改进的头部定位算法可以在一旦位置算法减少1.24毫秒,并且头部转动检测算法的准确性可以达到92%。

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