Abstract
Vehicle queue length is one of the important traffic parameters in intelligent traffic management system. High-altitude video monitoring avoids environmental object barrier and has advantages of dynamic video monitoring like larger view range, multi-angle and high precision, at the same time, it provides technical support for the vehicle queue length detection at the intersection. In order to detect the vehicle queue length in real time and apply it to the management of intelligent traffic system, a new algorithm based on video vehicle queue length detection is proposed in this paper. First, the frame difference method is used to construct the background of the image so that the background modeling error of moving objects could be reduced. On this basis, relief operation is taken to the image background and the current frame image in order to avoid the impact of light changes on the algorithm. Finally, the two-value image is analyzed to obtain the real queue length. The experimental results show that the improved method is simple to achieve and it can obtain a more accurate queue length.
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Acknowledgments
This research was funded by the Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security People’s Republic of China in Hefei and the National Science and Technology Support Program of China under Grant #2014BAG03B02. The views are those of the authors alone.
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© 2016 Springer Science+Business Media Singapore
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Yu, H., Hu, Y., Guo, H. (2016). Vehicle Queue Detection Method Based on Aerial Video Image Processing. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 405. Springer, Singapore. https://doi.org/10.1007/978-981-10-2335-4_22
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DOI: https://doi.org/10.1007/978-981-10-2335-4_22
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