Prethodno priopćenje
https://doi.org/10.7307/ptt.v28i5.2114
Integration of Transport-relevant Data within Image Record of the Surveillance System
Adam Stančić
; Karlovac University of Applied SciencesDepartment 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
Sažetak
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.
Ključne riječi
integration; intelligent transport system; meta-data; surveillance system; steganography
Hrčak ID:
169209
URI
Datum izdavanja:
26.10.2016.
Posjeta: 1.322 *