Title :
Study for detection methods of traffic parameters based on EPI
Author :
Tianmin, Deng ; Biao, Li
Author_Institution :
Sch. of Traffic & Transp., Chongqing Jiaotong Univ., Chongqing, China
Abstract :
It is a key segment of the traffic management system about detecting traffic parameters. With the continuous development of computer vision, the video traffic detection method is paid more and more attention. It is constructed that an Epi-polar Plane Image (EPI) method reflect the surface and movement characteristics of the vehicle, then the EPI is processing of normalization, filtering and texture detection. Finally, based on the EPI, it is given about the detection methods of mean velocity and length of the vehicle, traffic flow.
Keywords :
computer vision; filtering theory; image texture; object detection; road traffic; road vehicles; traffic engineering computing; video signal processing; EPI filtering; EPI method; computer vision; epi-polar plane image method; normalization processing; road vehicle; texture detection; traffic flow; traffic management system; traffic parameter detection method; video traffic detection method; Computer vision; Educational institutions; Image processing; Sun; Support vector machines; Vehicles; Border Detection; EPI; Traffic Parameter detector;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5769036
