DocumentCode :
3476130
Title :
Estimation and analysis of urban traffic flow
Author :
Lee, Joonsoo ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1157
Lastpage :
1160
Abstract :
This paper describes methods for extracting traffic flow information from urban traffic scenes. The ultimate goal is to collect a macroscopic view of traffic flow information in a fully automatic and segmentation-free way. First, traffic flow is calculated by optical flow estimation. Then, traffic flow regions are defined by the initial traffic flow, and further analysis is performed only in the defined traffic flow regions. Basic statistics of the traffic flow vectors are studied. It is shown that traffic flow computed by optical flow estimation effectively captures traffic scene activity. Also, the statistics of traffic flow vectors contain meaningful and interesting characteristics. An example application demonstrates the applicability and potential uses of the statistics.
Keywords :
image segmentation; image sequences; road traffic; statistical analysis; initial traffic flow analysis; macroscopic view collection; optical flow estimation; traffic flow information extraction; traffic flow vector statistics; traffic scene activity; urban traffic flow estimation; Application software; Humans; Image motion analysis; Layout; Motion detection; Optical computing; Optical sensors; Statistics; Surveillance; Vehicle detection; Traffic flow; flow vector statistics; optical flow; traffic surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413520
Filename :
5413520
Link To Document :
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