The passenger flow counting research of subway video based on image processing

Xiao Qian, Xiao Yu, Chen Fa
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引用次数: 4

Abstract

In view of the traditional transportation passenger flow statistics methods are rough statistics on passenger flow, and it can't get statistical data of passenger flow in a certain period of time immediately, so the passenger flow counting method of subway video based on image processing is proposed. Firstly take the characters obtained by the background subtraction method in the video as the statistical target, and then extract of the human figure outline and do the morphology processing, finally use the method of the connected domain to achieve the statistical effect of the intelligent number. Experimental results show that, the number of statistics is very accurate.
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基于图像处理的地铁视频客流计数研究
针对传统的交通客流统计方法是对客流的粗略统计,不能立即得到某一时间段的客流统计数据的问题,提出了基于图像处理的地铁视频客流统计方法。首先以视频中背景相减法得到的特征作为统计目标,然后提取人体轮廓并进行形态学处理,最后利用连通域的方法实现智能数的统计效果。实验结果表明,统计的数量是非常准确的。
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