Abstract
We propose one-directional traffic flow measurement method using double slit camera. Two slit cameras are installed in overhead location with longitudinal alignment. They shoot real traffic scene in downward direction. Slit camera outputs pseudo two-dimensional image that consists of space domain and time domain. We detect vehicles from statistical pixel value of each line of a slit. Standard deviation is effective to detect bright color vehicles. We use the changes of a standard deviation and a change of an average as well as the standard deviation to detect dark color vehicles. We detect traffic flow parameters such as occupancy, time headway and time between two cars using slit camera. In double slit configuration, we detect spot speed of vehicles by the time difference of its appearance at each slit. We estimate vehicle length by normalizing the vehicle region. We also divide vehicles into type of vehicle by length.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Katahara, S., Aoki, M. (2006). Vehicle Detection Using Double Slit Camera. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_17
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DOI: https://doi.org/10.1007/11612704_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
Online ISBN: 978-3-540-32432-4
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