- We propose a vehicle detection method for traffic flow images obtained from a video camera set up on a low place such as the roadside, sidewalk, etc. The method uses shadows underneath vehicles as the information to detect vehicles. The method distinguishes the size of each vehicle according to the distance between both ends of front- and rear-tires, and discriminates the lanes on which vehicles exist. The method has functions to create and update automatically a background image, and to estimate and update automatically a threshold value to binarize background subtraction images in order to enhance the vehicle detection accuracy. The proposed algorithm can realize a high-speed processing without complicated calculations, and real-time vehicle detection by using a general-purpose personal computer. Experimental results show that the vehicle detection accuracy is 98.9%.
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Iwasaki, Y., Itoyama, H. (2007). Real-time Vehicle Detection Using Information of Shadows Underneath Vehicles. In: Elleithy, K., Sobh, T., Mahmood, A., Iskander, M., Karim, M. (eds) Advances in Computer, Information, and Systems Sciences, and Engineering. Springer, Dordrecht. https://doi.org/10.1007/1-4020-5261-8_16
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