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- W2349623326 abstract "In order to real-time monitor traffic flow and incidents in highway tunnel,based on tunnel characteristics,traffic flow situation,relevance of testing data and characteristics of common accidents as well as the analysis of current video detection systems,for detection of traffic flow and incidents in tunnel,a tunnel traffic flow video detection algorithm based on multi-target tracking was proposed.The algorithm compares the similarity of the target list of the current image frame and the target list of the former image frame,and then calculates the similarity and the minimum distance.Thus the tracking of blindness could be reduced and the computational speed and accuracy could be improved.Through data mining analysis of the tunnel traffic data,the correlation properties of the tunnel traffic incident attribute data were extracted.The test shows that the total video detection accuracy of tunnel traffic flow is more than 97% and the detection accuracy of traffic incidents is more than 95%.The algorithm can be used for early warning of traffic accident to a certain extent and it is of great significance for reducing and preventing traffic accidents." @default.
- W2349623326 created "2016-06-24" @default.
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- W2349623326 date "2012-01-01" @default.
- W2349623326 modified "2023-09-23" @default.
- W2349623326 title "An Algorithm for Tunnel Traffic Flow Video Detection Based on Multi-target Tracking" @default.
- W2349623326 hasPublicationYear "2012" @default.
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