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Wheeler-Classified Vehicle Detection System using CCTV Cameras

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 11
Year of Publication: 2014
Pratishtha Gupta
G N Purohit
Saroj Kumari

Pratishtha Gupta, G N Purohit and Saroj Kumari. Article: Wheeler-Classified Vehicle Detection System using CCTV Cameras. International Journal of Computer Applications 89(11):35-42, March 2014. Full text available. BibTeX

	author = {Pratishtha Gupta and G N Purohit and Saroj Kumari},
	title = {Article: Wheeler-Classified Vehicle Detection System using CCTV Cameras},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {11},
	pages = {35-42},
	month = {March},
	note = {Full text available}


Wheeler-Classified Vehicle Detection System is the implementation to check whether vehicle is two-wheeler or four-wheeler from the ordinary traffic images captured through CCTV cameras installed at crossings along a particular road at an instant which is an important task in Intelligent Transportation Systems (ITS). The key contribution of this work are the introduction of methodology to reflect type of vehicle (two or four-wheeler) using MATLAB. Firstly, the region containing the vehicle is identified which is then cropped automatically from the traffic image and vehicle type is resulted using the approach of total number of corners obtained through corner detection of individual vehicle. If total number of corners exceeds the defined limit then output is reflected as four-wheeler otherwise two-wheeler.


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