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http://dx.doi.org/10.9711/KTAJ.2017.19.5.813

Preliminary study on car detection and tracking method using surveillance camera in tunnel environment for accident detection  

Oh, Young-Sup (Research & Development Department, SB Network Ltd.)
Shin, Hyu-Soung (Extreme Construction Research Center, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of Korean Tunnelling and Underground Space Association / v.19, no.5, 2017 , pp. 813-827 More about this Journal
Abstract
Surveillance cameras installed in tunnels capture the various video frames effected by dynamic and variable factors. In addition, localizing and managing the cameras in tunnel is not affordable, and quality of capturing frame is effected by time. In this paper, we introduce a new method to detect and track the vehicles in tunnel by using surveillance cameras installed in a tunnel. It is difficult to detect the video frames directly from surveillance cameras due to the motion blur effect and blurring effect on lens by dirt. In order to overcome this difficulties, two new methods such as Differential Frame/Non-Maxima Suppression (DFNMS) and Haar Cascade Detector to track cars are proposed and investigated for their feasibilities. In the study, it was shown that high precision and recall values could be achieved by the two methods, which then be capable of providing practical data and key information to an automatic accident detection system in tunnels.
Keywords
Tunnel incident detection system; CCTV; Surveillance camera; Motion blur; Lens blurring; Vehicle detection; Vehicle tracking; Inference;
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Times Cited By KSCI : 1  (Citation Analysis)
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