学术会议幻灯片

1、A Traffic-congestion Detection Method for Bad Weather Based on Traffic Video,1,Purpose,Current problem: The result of traffic congestion detection in bad weather is inaccurate Our purpose: A Traffic-congestion Detection Method for Bad Weather,2,Introduction,Traffic congestion detection is of great s

2、ignificance in city vehicle, road designing, traffic lights setting, preventing traffic congestion and other application fields. Therefore, the traffic congestion detection plays an important role in transportation field. Unfortunately, the results of an automatic vehicle identication system for det

3、ecting traffic is prone to appear high false-negative rate in bad weather such as fog, mist, and rain. It may lead cause of errors in statistics of traffic congestion index and increases the risk or economic loss in relevant departments and industry.,3,Our Method,Firstly, this method uses discrete-f

4、rame difference algorithm to extract the images that have vehicle information. Secondly, this method uses the histogram equalization algorithm to eliminate the noise of the images. Finally, this method recognizes the vehicle from the video and computes the traffic congestion index by the calculation

5、 method based on discrete-frame difference.,4,Main Algorithms,Image extraction method Discrete-frame algorithm Image de-noising method Histogram equalization algorithm Vehicle identification method Background subtraction algorithm Calculation of Traffic congestion index A method considered number an

6、d speed,5,Main Algorithms,Calculation of Traffic congestion index A method considered number and speed W represents the total number of identified vehicles. k1 represents the total number of frames of video section containing vehicle information. Ci represents the number of identified vehicles in i

7、frames in the video that has vehicle information. Wmax represents the maximum number of identified vehicles. S represents the length of the video detection region. Z represents the number of interval frames in discrete-frame algorithm. Tmax represents the total time of the video. t represents the difference of two frames. m represents the minimum length of a vehicle. y represents the traffic congestion index without unit conversion.,6,Experiments,Experiment of Images Processing Time and effects Comparison Experiment of Discrete-frame Method to Extract Traf