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A pedestrian detection method based on Dirichlet distribution and histogram of components

机译:基于狄利克雷分布和分量直方图的行人检测方法

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Pedestrian detection is a hot topic in computer vision recently. It is a challenging issue to detect the pedestrian in images accurately and quickly. In this paper, we propose a quick and accurate pedestrian detection method based on Dirichlet distribution and histogram of components. This method can find out the pedestrian in images accurately. Because of the introduction of Dirichlet distribution and histogram of components, our method reduces the time cost on detecting pedestrian. The experiment also showed that it can detect the pedestrian sheltered from other object or in the complicated background.
机译:行人检测是近来计算机视觉中的热门话题。准确,快速地检测图像中的行人是一个具有挑战性的问题。本文提出了一种基于狄利克雷分布和分量直方图的快速准确的行人检测方法。该方法可以准确地找出图像中的行人。由于引入了Dirichlet分布和分量直方图,我们的方法减少了检测行人的时间成本。实验还表明,它可以检测到躲避其他物体或背景复杂的行人。

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