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