The Study Of Extracting The Moving Vehicles In The System Of Intelligent Transportation System

Due to the wide detecting areas and free system setting of the video surveillance technology, it has become one of the hotspots in the studying field of Intelligent Transportation System. Aiming at the key technology in the Intelligent Transportation System, the essay has made a discussion of the algorithm of extracting the moving vehicles on the basis of the fixed focus.Aiming at three common approaches in extracting the moving vehicles that is optical flow, the background subtraction and coterminous frames differencing, the essay has made an analysis of their advantages and disadvantages. Under some simple situation, by using the sequence coterminous frames differencing, the essay has discussed how to extract the moving the moving vehicles and the result of "L" has been worked out. Therefore, the minimum complexity of sequence coterminous frames differencing space will come out under such simple situation.The essay has expounded the background construction of intensity classification. After analyzing the intensity distributing of the stationary objects and non-stationary objects in the background, the essay has put forward an algorithm of using one or more intensity spaces to donate the stationary objects and non-stationary objects in the background and using the characteristic which the appearance probability of the moving vehicles' intensity is lower than the background's intensity, the moving vehicles can be extracted.As to the difficulty which we can not extract the moving vehicles only by using single algorithm in the complicated traffic intersection, first, we can use the algorithm of extracting edge to extract each frame, and then by using the algorithm of sequence coterminous frames differencing we can extract the edge of the moving vehicles. At the same time, the extracted areas of the related edge can be added together, and the interrupting spots which produced by the shaking cameras or coterminous frames differencing can be dispelled, therefore, we can gain the thorough edge information of the moving vehicles. By using the algorithm of coterminous frames differencing, we can gain the outcome image, and then compares it with the moving vehicles' edge information, at this time, if the gray areas which have background edge can be got rid off and the edge information of the moving vehicles can make up the moving vehicles' gray areas, the complete extraction of the moving vehicles in the traffic intersection will be achieved.Finally, on the basis of the summarized work, the essay has put forward some useful suggestions in the later study work, which is in great favor of guiding the further study work.