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

机译:一种基于Dirichlet分布和组件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:行人检测是最近电脑愿景的热门话题。准确迅速地检测图像中的行人是一个具有挑战性的问题。在本文中,我们提出了一种基于Dirichlet分布和组件直方图的快速准确的行人检测方法。这种方法可以准确地在图像中找到行人。由于引入了Dirichlet分布和组件直方图,我们的方法降低了检测行人的时间成本。该实验还表明它可以检测从其他物体或复杂的背景中庇护的行人。

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