DocumentCode
3500233
Title
Vehicles´ Motion Parameters Detection in Intersection Based on Videos of Low View Angle
Author
Guangquan, Lu ; Miaomiao, Liu ; Shaojun, Xia ; Cheng, Deng
Author_Institution
Beihang Univ., Beijing, China
Volume
2
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
718
Lastpage
721
Abstract
By taking Visual C++ and OpenCV as tools and processing video image sequences gathered by one camera under low view angle, suitable foreground detection method of intersection was selected. Through improving blob tracking system provided by OpenCV, the program was developed to detect motion parameters of vehicles in intersection. The motion parameters were smoothed by Kalman filter. It made the data more reliably. The research could be applied in detections of the traffic conflict and traffic information.
Keywords
C++ language; Kalman filters; image motion analysis; image recognition; image sequences; road traffic; road vehicles; video signal processing; Kalman filter; Visual C++; blob tracking system; foreground detection method; intersection; low view angle; motion parameter; vehicle motion parameters detection; video image sequence; video processing; Kalman Filtering; Road Crossing; Traffic Safety; Vehicle Motion Parameters´ Detection; Video Processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.108
Filename
5662350
Link To Document