Integration of Transport-relevant Data within Image Record of the Surveillance System

  • Adam Stančić Karlovac University of Applied Sciences Department of Mechanical Engineering, Karlovac
  • Ivan Grgurević University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Information and Communications Traffic.
  • Zvonko Kavran University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb
Keywords: integration, intelligent transport system, meta-data, surveillance system, steganography,

Abstract

Integration of the collected information on the road within the image recorded by the surveillance system forms a unified source of transport-relevant data about the supervised situation. The basic assumption is that the procedure of integration changes the image to the extent that is invisible to the human eye, and the integrated data keep identical content. This assumption has been proven by studying the statistical properties of the image and integrated data using mathematical model modelled in the programming language Python using the combinations of the functions of additional libraries (OpenCV, NumPy, SciPy and Matplotlib). The model has been used to compare the input methods of meta-data and methods of steganographic integration by correcting the coefficients of Discrete Cosine Transform JPEG compressed image. For the procedures of steganographic data processing the steganographic algorithm F5 was used. The review paper analyses the advantages and drawbacks of the integration methods and present the examples of situations in traffic in which the formed unified sources of transport-relevant information could be used.

Author Biographies

Adam Stančić, Karlovac University of Applied Sciences Department of Mechanical Engineering, Karlovac
Karlovac University of Applied Sciences
Department of Mechanical Engineering, Karlovac, Lecturer
Ivan Grgurević, University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Information and Communications Traffic.
University of Zagreb, Faculty of Transport and Traffic Sciences, Department of Information and Communications Traffic, Member - Senior Assistant.
Zvonko Kavran, University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb
University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, Full professor

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Published
2016-10-27
How to Cite
1.
Stančić A, Grgurević I, Kavran Z. Integration of Transport-relevant Data within Image Record of the Surveillance System. PROMET [Internet]. 2016Oct.27 [cited 2019Sep.20];28(5):517-2. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/2114
Section
Articles