Abstract
In this paper, we propose the new method to enforce the tailgating violations that occurs at the intersection. The tailgating enforcement system is composed of the wide-view camera for tracking a vehicle and the narrow-view camera for recognizing a license plate. The images from the wide-view camera are sequentially stored in the stack in order to monitor the ROI (Region of Interest) at the intersection area. The narrow-view camera recognized the license plate. And the image coordinate of the license plate from the narrow-view camera was converted into the image coordinate from the synchronized wide-view camera. The feature points of the vehicle were extracted the image from wide-view camera using the converted image coordinate of the license plate from the narrow-camera. The images from the wide-view camera are searched in reverse order, and the vehicle trajectories are tracked. As a result, the success rate of the back-tracking is 98 % at day and 93 % at night. And the success rate of the sequential tracking is 90 % at day and 76 % at night. The back-tracking is the better results than the sequential tracking. Therefore the back-tracking is the appropriate to enforce the tailgating violation at the intersection.
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Acknowledgements
“This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the C-ITRC (Convergence Information Technology Research Center) (IITP-2015-H8601-15-1002) supervised by the IITP (Institute for Information & communications Technology Promotion)”
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© 2015 Springer International Publishing Switzerland
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Choi, SH., Ahn, JP., Rheu, JH., Kim, YM. (2015). Tailgating Enforcement based on Back-Tracking in Intersection. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9490. Springer, Cham. https://doi.org/10.1007/978-3-319-26535-3_72
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DOI: https://doi.org/10.1007/978-3-319-26535-3_72
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