In this paper

an object-of-interest based video transmission approach is presented for vision-based traffic surveillance systems using the background subtraction with one reference image.This background is pre-stored at both the image-capturing side and the monitoring center;at the acquisition side

using the badcgroand sabtraction with only one reference image the target objects are extracted

deriving a minimum rectangular grid-based region and a mask matrix for each of the extracted object.The monitoring center

after receiving the necessary codes

can reconstruct the video frames by fusing the objects or their wavelet-transformed versions into the preset background.The advantages are:(1) the networking resources are greatly saved;(2) some high-level processing functionality like collision avoidance

fault alarming can be improved;(3) operators' attention can focus on important events;(4) new services can be added or developed.Experimental results have proved its effectiveness.