A Video Traffic Flow Detection System Based on Machine Vision


Xin-Xin Wang, Xiao-Ming Zhao, Yu Shen, Journal of Information Processing Systems Vol. 15, No. 5, pp. 1218-1230, Oct. 2019  

https://doi.org/10.3745/JIPS.04.0140
Keywords: Background Difference Method, Intelligent Traffic System, Motion Object Location, Object Detection, Vehicle Location
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Abstract

This study proposes a novel video traffic flow detection method based on machine vision technology. The threeframe difference method, which is one kind of a motion evaluation method, is used to establish initial background image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple but effective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics, such as vehicle’s location information, color information and fractal dimension information. Experimental results show that this detection method could quickly and effectively detect various traffic flow parameters, laying a solid foundation for enhancing the degree of automation for traffic management.


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Cite this article
[APA Style]
Wang, X., Zhao, X., & Shen, Y. (2019). A Video Traffic Flow Detection System Based on Machine Vision. Journal of Information Processing Systems, 15(5), 1218-1230. DOI: 10.3745/JIPS.04.0140.

[IEEE Style]
X. Wang, X. Zhao, Y. Shen, "A Video Traffic Flow Detection System Based on Machine Vision," Journal of Information Processing Systems, vol. 15, no. 5, pp. 1218-1230, 2019. DOI: 10.3745/JIPS.04.0140.

[ACM Style]
Xin-Xin Wang, Xiao-Ming Zhao, and Yu Shen. 2019. A Video Traffic Flow Detection System Based on Machine Vision. Journal of Information Processing Systems, 15, 5, (2019), 1218-1230. DOI: 10.3745/JIPS.04.0140.