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