The use of openCV in Traffic Surveillance System (TSS)
Zainab Nazar, Khalil Wafi
R. Badlishah, Ahmad, Dr.
Paulraj, Murugrsa Pandiyan, Prof. Madya Dr.
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Due to the increase of traffic accidents over the last few years; the development of surveillance systems has increasing attention. The use of the video cameras is one solution to solve the traffic problems, Smart cameras are cameras that can perform tasks far beyond simply taking photos and recording videos. Traffic Surveillance System (TSS) is used to monitor the roads preventing accidents. This is done by implementing some image vision protocols as that of Gaussian and Canny. This paper will discuss about the camera-video-surveillance capabilities of tracking across different and varied road environments including detection of moving vehicles. The programming methods used will functional programming of OpenCV which could be operated under both, Windows and Linux OS. This paper will also examine the result of the combination of computer vision programming and the network socket programming under GNU Linux. At the end, this paper will attempt to address a discussion on design issues, challenges and the future directions of this research.