The background difference is important for segmenting mobile objects. But this method highly depends on background quality and easily regards moving shadows as objects. To cope with these problems

a novel segmentation method is proposed for intelligent transportation system. Firstly

the background image is extracted in the RGB space by improving pixel grayscale classification，and is updated real time with selective update and background adjustment. Then

the motion regions are detected by summarizing and thresholding the RGB values in the difference image. Finally

the hue

value and border intersection

which are judged from top to bottom

from left to the right and inverse directions in detected regions

are utilized to detect and eliminate shadows in the HSV space. The experimental results show that this new method can effectively reconstruct background

eliminate shadow (especially dark object shadow) and improve segmentation quality.