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- W2009144037 abstract "Traffic parameters are the basis of traffic flow research. Video-based traffic parameter extraction, which can provide large amounts of information at a relatively lower cost, has attracted great interest in recent years. In this paper, the authors propose an improved vehicle tracking algorithm to automatically extract traffic parameters over a long-distance urban freeway section from a monocular traffic image sequence. The algorithm can overcome the limitation of occlusions and omissions. It includes background estimation, target segment, vehicle tracking and parameter collection. Test results show the robustness and effectiveness of the algorithm: over 95% of the vehicles can be extracted from the video accurately." @default.
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- W2009144037 date "2012-07-23" @default.
- W2009144037 modified "2023-09-23" @default.
- W2009144037 title "Video-Based Traffic Parameter Extraction with an Improved Vehicle Tracking Algorithm" @default.
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- W2009144037 doi "https://doi.org/10.1061/9780784412442.088" @default.
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