Traffic Image Processing Systems

Author

Surgailis, Tadas ; Valinevicius, Algimantas ; Zilys, Mindaugas

Author_Institution

Dept. of Electron. Eng., Kaunas Univ. of Technol., Kaunas, Lithuania

fYear

2009

fDate

11-16 Oct. 2009

Firstpage

61

Lastpage

66

Abstract

This paper is about image processing systems and its ability to use in traffic surveillance and analysis. Growing car number is cause of bigger traffic jams and city pollution. With intelligent vision systems we can control traffic and reduce this problem. These systems have tremendous perspective. This paper presents the fundamental principles of traffic image processing system in moving object detection and extraction.

Keywords

feature extraction; object detection; road traffic; surveillance; car number; city pollution; intelligent vision systems; moving object detection; object extraction; traffic analysis; traffic image processing systems; traffic jams; traffic surveillance; Cameras; Consumer electronics; Control systems; Data mining; Image processing; Machine vision; Object detection; Pollution; Surveillance; Traffic control; background subtraction; blob detection; image segmentation; traffic surveillance; traffic tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Circuits, Electronics and Micro-electronics, 2009. CENICS '09. Second International Conference on

Conference_Location

Sliema

Print_ISBN

978-0-7695-3832-7

Type

conf

DOI

10.1109/CENICS.2009.9

Filename

5291498