DocumentCode :
2035924
Title :
Vehicle detection using morphological image processing technique
Author :
Ajmal, Aisha ; Hussain, Ibrahim M.
Author_Institution :
Dept. of Comput. Eng., Sir Syed Univ. of Eng. & Technol., Karachi, Pakistan
fYear :
2010
fDate :
2-4 March 2010
Firstpage :
65
Lastpage :
68
Abstract :
Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. In this paper we propose a novel and efficient algorithm based on image processing using aerial cameras for vehicle detection and classification especially in highways. The algorithm is mainly based on a sequence of morphological methods being applied on an image taken by an aerial camera of a road segment. The algorithm also uses thresholding and edge detection techniques for vehicle detection. Experiments are carried out over a wide range of vehicles, road segments and camera heights. A success rate of more than 85% and proper vehicle classification is achieved.
Keywords :
cameras; decision making; edge detection; image classification; road vehicles; traffic control; traffic engineering computing; aerial cameras; decision making; edge detection technique; highways; morphological image processing technique; morphological methods; road segments; thresholding technique; traffic control; traffic management; vehicle classification; vehicle detection; Automotive engineering; Cameras; Decision making; Image edge detection; Image processing; Image segmentation; Object detection; Road vehicles; Shape control; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Information Technology (MCIT), 2010 International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-7001-3
Type :
conf
DOI :
10.1109/MCIT.2010.5444851
Filename :
5444851
Link To Document :
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