Title :
Estimating traffic intensity using profile images on rectified images
Author :
Maduro, Cristina ; Batista, Katherine ; Batista, Jorge
Author_Institution :
Dept. of Electr. Eng., Univ. of Coimbra, Coimbra, Portugal
Abstract :
In this paper a technique is presented to estimate the traffic intensity for each lane. This method does not require background estimation or even the identification and tracking of individual vehicles. It requires only the identification of each lane and the estimation of a bird eye view of the highway using a rectification method. To each rectified lane, an intensity profile is computed along the traffic flow direction for each frame, obtaining an image that represents the displacement as a time function. The main idea is to search for the best matching profile for different times and spaces on each lane and consequently obtain the velocity profile.
Keywords :
computer vision; image recognition; traffic engineering computing; vehicles; background estimation; bird eye view; computer vision; individual vehicle identification; individual vehicle tracking; intensity profile; profile images; rectification method; rectified images; time function; traffic flow direction; traffic intensity estimation; velocity profile; Birds; Cameras; Computer vision; Parameter estimation; Polynomials; Road transportation; Robots; Space technology; Surveillance; Vehicle detection; Intensity Profile; image rectification; lane detection and vehicle velocity estimation;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413528