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http://dx.doi.org/10.12673/jkoni.2013.17.01.090

Traffic Collision Detection at Intersections based on Motion Vector and Staying Period of Vehicles  

Shin, Youn-Chul (School of Avionics and Telecommunication Engineering, Korea Aerospace University)
Park, Joo-Heon (School of Avionics and Telecommunication Engineering, Korea Aerospace University)
Lee, Myeong-Jin (School of Avionics and Telecommunication Engineering, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.17, no.1, 2013 , pp. 90-97 More about this Journal
Abstract
Recently, intelligent transportation system based on image processing has been developed. In this paper, we propose a collision detection algorithm based on the analysis of motion vectors and the staying periods of vehicles in intersections. Objects in the region of interest are extracted from the subtraction image between background images based on Gaussian mixture model and input images. Collisions and traffic jams are detected by analysing measured motion vectors of vehicles and their staying periods in intersections. Experiments are performed on video sequences actually recoded at intersections. Correct detection rate and false alarm rate are 85.7% and 7.7%, respectively.
Keywords
traffic accident; collision detection; motion vector; intelligent transportation system; traffic;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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