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