DocumentCode :
1735928
Title :
A novel approach for vehicle detection and classification
Author :
Pandya, Hariom A. ; Bhatt, Malay S.
Author_Institution :
Comput. Eng. Dept., Dharmsinh Desai Univ., Nadiad, India
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Day by day numbers of vehicles purchased by humans are increasing which results in more traffic related issues. Especially considering under developed countries, traffic issues are on its peak. Approaches designed till date includes detection and classification of vehicles on highway roads and especially for 4-wheelers rather than 2-wheelers. Proposed approach focuses on university scenario where 2-wheelers entering the university campus are monitored and classified into bike or non-bike.
Keywords :
image classification; object detection; road traffic; traffic engineering computing; highway roads; traffic issues; university campus; vehicle classification; vehicle detection; Computers; Correlation; Object detection; Testing; Training; Vehicle detection; Vehicles; Annoying Object Removal; Classification; Shadow Removal; Two Wheelers; Vehicle Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6804-6
Type :
conf
DOI :
10.1109/ICCCI.2015.7218064
Filename :
7218064
Link To Document :
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