Image processing based system for classification of vehicles for parking purposes

Author

Kumar, Amit ; Assaf, Mansour H. ; Das, Sunil R. ; Biswas, Satyendra N. ; Petriu, Emil M. ; Groza, Voicu

Author_Institution

Sch. of Eng. & Phys., Univ. of the South Pacific, Suva, Fiji

fYear

2015

fDate

11-14 May 2015

Firstpage

1326

Lastpage

1330

Abstract

This paper develops an image processing based approach for classification of vehicles with the objective of their parking. In the paper, the heights and lengths of the vehicles are first measured on applying image processing and feature extraction techniques. Then, based on the information of the heights and lengths of the vehicles, the vehicles´ eligibility to park in a specific parking lot is determined under condition of certain constraints. The determination of the heights and lengths are carried out by comparing the maximum height for a set of vehicles. The system was implemented using MATLAB and the developed technique was tested for accuracy considering various classes of vehicles. For ease of implementation, the system incorporates a camera mounted on a flat surface with fixed pixel setting.

Keywords

feature extraction; height measurement; image classification; length measurement; road traffic; road vehicles; traffic engineering computing; MATLAB; constraints; feature extraction techniques; fixed pixel setting; image processing; parking eligibility; parking lot; parking purposes; vehicles classification; vehicles height measurement; vehicles length measurement; Accuracy; Feature extraction; MATLAB; Production; Testing; Vehicles; Classification of vehicles; MATLAB; feature extraction; image processing; vehicle parking;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International

Conference_Location

Pisa

Type

conf

DOI

10.1109/I2MTC.2015.7151465

Filename

7151465