基于视觉的公交客流估计方法

Haibin Yu, Zhiwei He, Jilin Liu
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引用次数: 16

摘要

本文介绍了一种基于图像处理的复杂背景下公交客流实时估计方法。利用头部的轮廓特征来定位每个乘客的位置。为了准确地获得轮廓特征,采用了霍夫变换的修正和模糊测度。该方法已在一个基于dsp的嵌入式系统中进行了现场测试,结果表明该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A vision-based method to estimate passenger flow in bus
In this paper, we describe a procedure using image processing for real-time estimation of passenger crowd flow in a complicated background in a bus. The contour feature of the head is exploited to locate every passenger's position. In order to obtain the contour feature accurately, the modification of the Hough Transform and the fuzzy measure are applied. The procedure has been implemented in a DSP-based embedded system for field tests and the results show that the procedure mentioned here is effective.
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