Title :
Notice of Retraction
Vehicle red-light violation detection base on region
Author :
Yanyue Chen ; Chenhui Yang
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Red-light violation video detection is one of the critical techniques in the intelligent transportation system, it is superior to traditional detection methods in aspect of function and maintenance. According to the practice of crossroads and the characteristics of vehicles running red-light, this paper presents a vision vehicle detection algorithm based on detection region to detect moving vehicles, and then analysis movement trend for vehicles by processing. The system implements the correct judgment of running red-light with two steps of process above. The experiment results show that the algorithm not only satisfies the real time requirement but also detects red-light violation with a high accuracy.
Keywords :
computer vision; object detection; road vehicles; traffic engineering computing; transportation; intelligent transportation system; moving vehicle detection; vehicle red-light violation detection; vision vehicle detection algorithm; Image recognition; Vehicles; frame difference in hue; region detection; running red-light;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5565080