DocumentCode
2050265
Title
Expanded gradient approach in vehicle detection and recognition systems
Author
Boichenko, Cyril
Author_Institution
Zaporizhzhya Nat. Univ., Zaporizhzhya, Ukraine
fYear
2010
fDate
23-27 Feb. 2010
Firstpage
304
Lastpage
304
Abstract
Method of multilayer multi-direct gradient map models construction and its application as a feature system are first proposed. Automatic vehicle classification system which uses the proposed methods and models is developed. The advantages of described method and the optimality of parameter set for the model are proved.
Keywords
gradient methods; image recognition; road vehicles; traffic engineering computing; multilayer multidirect gradient map models; parameter set optimality; vehicle detection system; vehicle recognition system; Brightness; Computer vision; Control systems; Convolution; Image recognition; Kernel; Nonhomogeneous media; Real time systems; Vehicle detection; Vehicles; binarization; feature transform; object of control; pattern recognition; region of interest;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), 2010 International Conference on
Conference_Location
Lviv-Slavske
Print_ISBN
978-966-553-875-2
Electronic_ISBN
978-966-553-901-8
Type
conf
Filename
5445899
Link To Document