Abstract
This paper addresses the problem of processing data from road cameras for providing work parameters for traffic flow control systems. 3D wavelet transformation of image sequences is proposed to represent the traffic. In order to reduce the sensitivity to ambient light changes, of the road scene, a linear function of the coefficients is used to represent the traffic flow. The parameters of the linear function are determined using real traffic data by minimizing the MSE of vehicle detection functions. The developed algorithm was tested using a database of image sequences. Test results prove that it can be applied to determine traffic flow values for control systems. Instead of the usual elaborate image sequence processing, a hardware-based 3D wavelet transformation may be added to the control system.
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Kłos, M.J. (2016). Determination of Road Traffic Flow Based on 3D Wavelet Transform of an Image Sequence. In: Burduk, R., Jackowski, K., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. https://doi.org/10.1007/978-3-319-26227-7_47
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DOI: https://doi.org/10.1007/978-3-319-26227-7_47
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