期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2016
卷号：10
期号：3
页码：101-110
DOI：10.14257/ijsia.2016.10.3.09
出版社：SERSC
摘要：In traffic monitoring system, moving object monitor is the key part of monitoring system. This paper proposed a non-reference background detection method based on the reference background model for the poor detection effect of Gaussian background modeling. The model utilizes a series of sampling values to estimate the probability model of observed pixels before current pixels; Then binaryzation moving object detection based on the probability model. In terms of moving object identification, this paper proposed several features, and being trained and identified through BP neural network. The experimental result indicated that this background model can detect the foreground moving object effectively, and achieved satisfied effect on pedestrians and vehicles target recognition rate.
关键词：Traffic monitoring; Background model; Vehicle recognition; Machine ; vision; Probability model
