TY - GEN
T1 - Research for the improvement of traffic accident detection system at an intersection applied technique of video detection and sound detection
AU - Yoo, Sungjun
AU - Lee, Dongyoung
AU - Kim, Youngchan
AU - Kim, Wanki
PY - 2007
Y1 - 2007
N2 - Existing traffic accident automatic recording device, which is excessively sensitive to environmental influence, tends to deteriorate the detection rate and valid acquisition rate. In an effort to resolve such problems, a fusion algorithm using traffic accident detection algorithm based on an analysis of image detection technology-based objects recognition, pixel accumulation and fluid approximate algorithm were developed. And the field test was conducted in a bid to prove the performance of fusion algorithm. Consequently, while the detection rate with existing image detection was 50% of traffic accident detection and 0.27% of valid event detection, the rates obtained employing improved image detection algorithm reached 100% and 1.57%, respectively, and the rates obtained using an image and soundbased fusion algorithm were proved to be 100% and 21.05%, respectively.
AB - Existing traffic accident automatic recording device, which is excessively sensitive to environmental influence, tends to deteriorate the detection rate and valid acquisition rate. In an effort to resolve such problems, a fusion algorithm using traffic accident detection algorithm based on an analysis of image detection technology-based objects recognition, pixel accumulation and fluid approximate algorithm were developed. And the field test was conducted in a bid to prove the performance of fusion algorithm. Consequently, while the detection rate with existing image detection was 50% of traffic accident detection and 0.27% of valid event detection, the rates obtained employing improved image detection algorithm reached 100% and 1.57%, respectively, and the rates obtained using an image and soundbased fusion algorithm were proved to be 100% and 21.05%, respectively.
KW - Automated recording system of traffic accident
KW - Correct detection rate (CDR)
KW - Detection rate (DR)
UR - http://www.scopus.com/inward/record.url?scp=84893782411&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84893782411
SN - 9781617387777
T3 - 14th World Congress on Intelligent Transport Systems, ITS 2007
SP - 3850
EP - 3862
BT - 14th World Congress on Intelligent Transport Systems, ITS 2007
PB - Intelligent Transportation Society of Japan (ITS Japan)
T2 - 14th World Congress on Intelligent Transport Systems, ITS 2007
Y2 - 9 October 2007 through 13 October 2007
ER -
