DocumentCode :
3564482
Title :
Vehicle classification for civilian and non-civilian applications: A survey
Author :
Mendoza-Schrock, Olga ; Bourbakis, Nikolas ; Rizki, Mateen ; Velten, Vincent
Author_Institution :
Wright State Univ., Fairborn, OH, USA
fYear :
2014
Firstpage :
163
Lastpage :
168
Abstract :
The ability to classify a vehicle is of extreme importance for both civilian and non-civilian applications. For non-civilian applications the state-of-the-art leaves much to be desired, as hierarchal and real-time classification have yet to be truly investigated. This paper provides a survey of the current state-of-the-art in vehicle classification and provides recommendations for future research areas to advance the current capabilities.
Keywords :
automobiles; image classification; traffic engineering computing; civilian application; hierarchal classification; noncivilian application; vehicle classification; Databases; Feature extraction; Histograms; Image edge detection; Lighting; MATLAB; Vehicles; aided target recognition; classification; vehicle classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, NAECON 2014 - IEEE National
Print_ISBN :
978-1-4799-4690-7
Type :
conf
DOI :
10.1109/NAECON.2014.7045796
Filename :
7045796
Link To Document :
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