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

Xu Li, Xiaoru Wang, Jia Long, Lingpu Gong
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Abstract

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.
一种基于Dirichlet分布和分量直方图的行人检测方法
行人检测是近年来计算机视觉领域的研究热点。如何准确、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Dirichlet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到图像中的行人。由于引入了Dirichlet分布和分量直方图,减少了检测行人的时间开销。实验还表明,该方法能够检测出遮挡在复杂背景下的行人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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