DocumentCode :
2640002
Title :
Automated extraction of queue lengths from airborne imagery
Author :
Agrawal, Ashish ; Hickman, Mark
Author_Institution :
Dept. of Civil Eng. & Mech. Eng., Arizona Univ., Tucson, AZ, USA
fYear :
2004
fDate :
3-6 Oct. 2004
Firstpage :
297
Lastpage :
302
Abstract :
We propose a methodology to obtain intersection queue length estimates from an airborne image by using connected component analysis of the thresholded region of interest. The queue estimates are obtained by two techniques: by counting individual vehicles in the queue and by the area of a polygon containing the vehicles in the queue. The techniques are tested rigorously on a set of images taken from the cities of Tucson and Seattle and the results are presented.
Keywords :
estimation theory; image segmentation; queueing theory; vehicles; airborne imagery; connected component analysis; image thresholding; individual vehicles; intersection queue length estimation; polygon queue method; queue length extraction; region of interest; Cameras; Cities and towns; Delay; Image analysis; Monitoring; Queueing analysis; Testing; Traffic control; Transportation; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on
Print_ISBN :
0-7803-8500-4
Type :
conf
DOI :
10.1109/ITSC.2004.1398914
Filename :
1398914
Link To Document :
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