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Vehicle shadow and superposition have a great influence on the accuracy of vehicles detection in traffic video.
Many background models have been proposed and improved to deal with detection moving object. This paper presented a
method which improves Gaussian mixture model to get adaptive background. The HSV color space was used to eliminate
vehicle shadow, it was based on a computational colour space that makes use of our shadow model. Vehicle superposition
elimination was discussed based on vehicle contour dilation and erosion method. Experiments were performed to verify
that the proposed technique is effective for vehicle detection based traffic surveillance systems. Detection results showed
that our approach was robust to widely different background and illuminations.