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Research On Freeway Automatic Incident Detection System Based On Video And Microwave Technologies Fusion

Posted on:2011-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:N JiangFull Text:PDF
GTID:2178360308460581Subject:Traffic Information Engineering & Control
Abstract/Summary:PDF Full Text Request
With the development of national economy, the traffic mileage of freeway and retain number of automobile are increasing continuously, the influence of passengers'and drive's safety as well as economic development caused by followed traffic incidents is intensifying, it is imperative to design a rapid, accurate automatic incident detection system to promote traffic safety.Video-based automatic incident detection system and microwave-based automatic incident detection system have advantages and disadvantages respectively, however, their advantages are complementary, a fast, accurate and stable automatic incident detection system will be obtained if combining the two detection techniques together. An automatic incident detection system based video technology and microwave technology combined is designed, and the key technologies of the system in this paper are studied deeply.An adaptive background model based on improved averaging algorithm is designed firstly, then get the moving vehicles objectives by background subtraction method, and deal with the objectives by morphological filtering, extract the destination rectangle area of moving vehicles, a tracking algorithm combined Kalman filtering with Camshift algorithm is proposed to realize tracking moving vehicles objects accurately, according to the centroids of moving vehicles and the position of rectangular area, vehicles collision judgment algorithm by judging the distance changing of the vehicles centroids and congestion incident judgment algorithm are proposed. Then, analyze the traffic incident video data of experimental road in the past, the variation of traffic flow after the traffic incidents is obtained, then combine this law and shock wave theory, to determine the layout and data acquisition cycle of microwave traffic detector, Processing and analyzing the data collected from the microwave traffic detector by using BP neural network, verify the method of layout and data acquisition cycle of microwave traffic detector in this paper are reasonable, realize the video and microwave technologies fusion。Comparing the existing automatic incident detection system,the incident detection system based video technology and microwave technology combined has higher pertinence and practicability, the layout and data acquisition cycle of microwave traffic detector are more reasonable,which lays the foundation for practical application.
Keywords/Search Tags:Background extraction, Target tracking, Kalman filter, Camshift algorithm, Traffic incident detection, Microwave traffic detector
PDF Full Text Request
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