Detection Algorithm for Crossroad Traffic Accident Using the Sequence of Traffic Lights 


Vol. 16,  No. 1, pp. 17-24, Feb.  2009
10.3745/KIPSTB.2009.16.1.17


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  Abstract

This paper suggests the background image and the algorism of detecting an accident at crossroads by using the sequence of traffic light at crossroads, which is installed within the crossroads, in order to detect an accident within crossroads. A method of using the existing image contains a problem that the accident-detection ratio gets lower in a situation that noise occurs loudly given using new accident model, the confused situation, or sound source. This study used the accident detection by developing a filter of using the property of histogram in the sequence of traffic light at crossroads and the background image, in order to reduce misjudgment of an accident caused by external shadow, vehicle stoppage, vehicle headlight, and externally environmental influence. As a result of experimenting by acquiring 15 actual accident images in order to examine the performance of the suggested algorism, the accident was detected in all the 15 videos. Even as for a new accident model, the accident within crossroads could be detected.

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[IEEE Style]

S. H. Jeong and J. W. Lee, "Detection Algorithm for Crossroad Traffic Accident Using the Sequence of Traffic Lights," The KIPS Transactions:PartB , vol. 16, no. 1, pp. 17-24, 2009. DOI: 10.3745/KIPSTB.2009.16.1.17.

[ACM Style]

Sung Hwan Jeong and Joon Whoan Lee. 2009. Detection Algorithm for Crossroad Traffic Accident Using the Sequence of Traffic Lights. The KIPS Transactions:PartB , 16, 1, (2009), 17-24. DOI: 10.3745/KIPSTB.2009.16.1.17.

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