Title :
Automatic Vehicle Detection and Classification
Author :
Ferreira, Pedro M. ; Marques, Gonçalo ; Jorge, Pedro M. ; Abrantes, Arnaldo J. ; Amador, Antönio
Author_Institution :
Multimedia & Machine Learning Group, Telecommun. & Comput. Eng., Lisbon
Abstract :
This paper presents a proposal for an automatic vehicle detection and classification (AVDC) system. The proposed AVDC should classify vehicles accordingly to the Portuguese legislation (vehicle height over the first axel and number of axels), and should also support profile based classification. The AVDC should also fulfill the needs of the Portuguese motorway operator, Brisa. For the classification based on the profile we propose the use of Eigenprofiles, a technique based on Principal Components Analysis. The system should also support multi-lane free flow for future integration in this kind of environments.
Keywords :
eigenvalues and eigenfunctions; feature extraction; image classification; legislation; principal component analysis; traffic engineering computing; Portuguese legislation; Portuguese motorway operator; automatic vehicle classification; automatic vehicle detection; eigen profiles; multilane free flow; principal components analysis; profile based classification; vehicle height; Intelligent sensors; Intelligent transportation systems; Legislation; Optical pulses; Principal component analysis; Pulse measurements; Sensor phenomena and characterization; Sensor systems; Vehicle detection; Vehicles;
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
DOI :
10.1109/ITSC.2008.4732682
