DocumentCode :
1864107
Title :
Estimation of vehicle velocity and traffic intensity using rectified images
Author :
Maduro, Cristina ; Batista, Katherine ; Peixoto, Paulo ; Batista, Jorge
Author_Institution :
Dept. of Electr. Eng., Univ. of Coimbra, Coimbra
fYear :
2008
fDate :
12-15 Oct. 2008
Firstpage :
777
Lastpage :
780
Abstract :
This paper presents an automatic method to estimate vehicle velocity and determine the number of vehicles per lane using rectified images. This approach requires the knowledge of two lengths on the ground plane and can be applied to highway scenarios that possess fairly straight lanes in areas near the camera. A scale factor is determined, in order to ascertain vehicle velocity in the sought units. This scale factor associates distances traveled on the image plane with distances on the ground plane and can be obtained by identifying the period and location of the striped highway lanes on the rectified background image. Once the previously referred lines are located it is then possible to locate the highway lane boundaries and, therefore, determine the mean vehicle velocity of each lane.
Keywords :
image sequences; matrix algebra; motion estimation; camera; highway lane boundaries; image rectification; rectified background image; striped highway lanes; traffic intensity; vehicle velocity estimation; video sequences; Automated highways; Cameras; Computer vision; Image restoration; Image segmentation; Road transportation; Road vehicles; Robotics and automation; Surveillance; Video sequences; Image Rectification; Lane Identification; Vehicle Velocity; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2008.4711870
Filename :
4711870
Link To Document :
بازگشت