Towards a non-intrusive traffic surveillance system using digital image processing

[摘要] ENGLISH ABSTRACT: With the increased focus on the use of innovative and state-of-the-art technology inIntelligent Transport Systems (ITS), the need for more accurate and more detailed roadtraffic flow data has become apparent. Data obtained from vehicle detector loops, whichmerely act as vehicle presence sensors, is neither reliable nor accurate enough anymore.This type of sensor poses the problem that it has to be inserted into the road surface;temporarily obstructing traffic flows, and has to be replaced after pavementreconstruction. One of the solutions to this problem is to develop a traffic surveillancesystem that uses video image processing.In cities where Intelligent Transport Systems are used extensively, roadways aremonitored through Closed Circuit Television Cameras (CCTV) that are closely watchedby traffic control centre personnel. These cameras are mounted on posts on the roadside.These cameras can serve a dual purpose, being used for both human monitoring and asinputs to Video Image Processing Systems.In this study some of the digital image processing techniques that could be used in atraffic surveillance system were investigated. This report leads the reader through thevarious steps in the processing of a scene by a traffic surveillance system based onfeature tracking, and discusses the pitfalls and problems that are experienced.The tracker was tested using three image sequences and the results are presented in thefinal chapter of this report.

[发布机构] Stellenbosch University