System for Detecting Vehicle Features from Low Quality Data

  • Marcin Dominik Bugdol Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
  • Pawel Badura Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
  • Jan Juszczyk Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
  • Wojciech Wieclawek Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
  • Maria Janina Bienkowska Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
DOI: https://doi.org/10.7307/ptt.v30i1.2430
Keywords: vehicle type detection, vehicle make detection, vehicle colour detection, real traffic data,

Abstract

The paper presents a system that recognizes the make, colour and type of the vehicle. The classification has been performed using low quality data from real-traffic measurement devices. For detecting vehicles’ specific features three methods have been developed. They employ several image and signal recognition techniques, e.g. Mamdani Fuzzy Inference System for colour recognition or Scale Invariant Features Transform for make identification. The obtained results are very promising, especially because only on-site equipment, not dedicated for such application, has been employed. In case of car type, the proposed system has better performance than commonly used inductive loops. Extensive information about the vehicle can be used in many fields of Intelligent Transport Systems, especially for traffic supervision.

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Marcin Dominik Bugdol, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Faculty of Biomedical Engineering, Silesian University of Technology. Assistant Professor
Pawel Badura, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Faculty of Biomedical Engineering, Silesian University of Technology. Assistant Professor
Jan Juszczyk, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Faculty of Biomedical Engineering, Silesian University of Technology. Assistant Professor
Wojciech Wieclawek, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Faculty of Biomedical Engineering, Silesian University of Technology. Assistant Professor
Maria Janina Bienkowska, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800 Zabrze, Poland
Faculty of Biomedical Engineering, Silesian University of Technology. Ph.D. Student

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Published
2018-02-23
How to Cite
1.
Bugdol MD, Badura P, Juszczyk J, Wieclawek W, Bienkowska MJ. System for Detecting Vehicle Features from Low Quality Data. Promet [Internet]. 2018Feb.23 [cited 2024Apr.19];30(1):11-0. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/2430
Issue
Vol 30 No 1 (2018)
Section
Articles

Copyright (c) 2018 Marcin Dominik Bugdol, Pawel Badura, Jan Juszczyk, Wojciech Wieclawek, Maria Janina Bienkowska

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