DocumentCode :
668705
Title :
A novel image segmentation technology in intelligent traffic light control systems
Author :
Liu Junwei ; Luo Shaokai
Author_Institution :
Sch. of Math. & Stat., Xi´an Electron. & Sci. Univ., Xi´an, China
fYear :
2013
fDate :
20-22 Nov. 2013
Firstpage :
26
Lastpage :
29
Abstract :
This paper analyzes the present application of intelligent traffic light control systems and points out the advantages of controlling traffic lights according to the traffic information collected using video cameras. A novel method that recognizes the detection area based on Hough transformation, and computes the number of vehicles based on the detected boundaries between the windshields and the hoods is proposed. Furthermore, the time complexity of the image erosion algorithm involved is improved. Experiments indicate that the proposed procedure can achieve fast and high-precision recognition for crowded vehicles thus is efficient in practice.
Keywords :
Hough transforms; computational complexity; image recognition; image segmentation; intelligent control; intelligent transportation systems; road traffic control; traffic engineering computing; Hough transformation; ITS; Intelligent Transportation System; high-precision recognition; image erosion algorithm; image segmentation technology; intelligent traffic light control systems; time complexity; traffic information; video cameras; Accuracy; Artificial intelligence; Automotive components; Cameras; Corrosion; Roads; Vehicles; Digital Image Processing; Image erosion; Intelligent Traffic; Vehicles Recognition; Video monitor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
Type :
conf
DOI :
10.1109/CECNet.2013.6703263
Filename :
6703263
Link To Document :
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