An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 2, pp. 83-90, Feb. 2015
10.3745/KTSDE.2015.4.2.83,   PDF Download:

Abstract

Almost of current Automatic Incident Detection(AID) algorithms involve the vulnerability that detects the traffic accident in open road or in tunnel as the traffic jam not as the traffic accident. This paper proposes the improved accident detection algorithm to enhance the detection probability based on accident detection algorithms applied in open roads. The improved accident detection algorithm provides the preliminary judgment of potential accident by detecting the stopped object by Gaussian Mixture Model. Afterwards, it measures the detection area is divided into blocks so that the occupancy rate can be determined for each block. All experimental results of applying the new algorithm on a real incident was detected image without error.


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Cite this article
[IEEE Style]
J. H. Baek, J. Y. Min, K. S. Nam, S. H. Yoon, "An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing," KIPS Transactions on Software and Data Engineering, vol. 4, no. 2, pp. 83-90, 2015. DOI: 10.3745/KTSDE.2015.4.2.83.

[ACM Style]
Jung Hee Baek, Joon Young Min, Koong Seong Nam, and Seok Hwan Yoon. 2015. An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing. KIPS Transactions on Software and Data Engineering, 4, 2, (2015), 83-90. DOI: 10.3745/KTSDE.2015.4.2.83.