DocumentCode :
2474755
Title :
A Novel Morphological Edge Detection and Window Based Approach for Real-Time Road Traffic Control and Management
Author :
Siyal, M.Y. ; Ahmed, J.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
fYear :
0
fDate :
0-0 0
Firstpage :
324
Lastpage :
328
Abstract :
Different types of road traffic parameters are required for modern road traffic control and management operations. Image processing based systems have been used to for collecting and analyzing road traffic data. However, these techniques have not yielded good results due to various problems such as inefficiency of background updating and selecting a threshold value, change in ambient lighting etc., which resulted in false detection of vehicles. In this paper we describe novel morphological edge detection and window based image processing technique for road traffic applications. This novel method has been implemented on a Pentium-based microcomputer system and the results are reported online in real-time. We also have compared our system with other traditional image processing based systems and the results indicate that our proposed system provides better results than the traditional image processing based systems
Keywords :
edge detection; microcomputer applications; real-time systems; road traffic; traffic engineering computing; Pentium-based microcomputer system; image processing system; morphological edge detection; real-time road traffic control; window based approach; Data analysis; Detectors; Image edge detection; Image processing; Image segmentation; Real time systems; Roads; Technology management; Traffic control; Vehicle detection; Image Processing; Morphological Edge Detection; Real-Time; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9283-3
Type :
conf
DOI :
10.1109/ICICS.2005.1689060
Filename :
1689060
Link To Document :
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