DocumentCode :
3216187
Title :
What can we learn from accident videos?
Author :
Dopfer, Andreas ; Chieh-Chih Wang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2013
fDate :
2-4 Dec. 2013
Firstpage :
68
Lastpage :
73
Abstract :
A recent rise of windshield mounted cameras in cars has given access to large amount of videos from real world traffic accidents. This paper aims to analyze what can be learned from that video data using current state-of-the-art computer vision techniques. We also discuss what is currently missing to fully understand these videos. A substantial number of accident sequences has been acquired and manually evaluated for this analysis. The ability to fully automatically analyze large numbers of traffic accidents from videos will allow to identify potentially dangerous traffic scenarios, improve driving safety and driver warning systems.
Keywords :
computer vision; image sequences; road accidents; road safety; video signal processing; accident video; computer vision technique; driver warning system; driving safety system; traffic accident; video data; windshield mounted camera; Accidents; Cameras; Feature extraction; Image reconstruction; Motorcycles; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Control Conference (CACS), 2013 CACS International
Conference_Location :
Nantou
Print_ISBN :
978-1-4799-2384-7
Type :
conf
DOI :
10.1109/CACS.2013.6734109
Filename :
6734109
Link To Document :
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