Title :
Abnormal incident detection system employing image processing technology
Author :
Ikeda, Hiromi ; Kaneko, Yukihiro ; Matsuo, Toshihiro ; Tsuji, Kunihiko
Author_Institution :
Metropolitan Expressway Public Corp., Tokyo, Japan
fDate :
6/21/1905 12:00:00 AM
Abstract :
Reportedly, accidents and disabled cars accounted for 20% of all the causes of congestion on Metropolitan Expressway. For this reason, the Metropolitan Expressway Public Corporation (MEPC) had been called for earlier discovery of any abnormal incidents such as accidents, disabled cars, fallen objects, etc. to secure safety and alleviate congestion. To meet this demand, the MEPC has been putting forward a feasibility study for the introduction of an automatic abnormal incident detection system employing image processing technology. In 1997, it began operating the system on a trial basis in the tunnel sections of the expressway. This paper outlines the feasibility study we conducted on the experimental system including the results of various verification tests
Keywords :
accidents; computer vision; image classification; road traffic; traffic control; MEPC; Metropolitan Expressway; abnormal incident detection system; computer vision; image processing; road traffic control; Cameras; Communication industry; Image processing; Industrial accidents; Object detection; Road accidents; Road safety; Road vehicles; System testing; Vehicle safety;
Conference_Titel :
Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-4975-X
DOI :
10.1109/ITSC.1999.821154