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Technology / Tracking / Face recognition / Image processing / Traffic flow / Video tracking / Corner detection / Kalman filter / Face detection / Transport / Computer vision / Road transport


Computer Vision Techniques for Traffic Flow Computation Li Bai1, William Tompkinson2, Yan Wang1 1 2
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Document Date: 2014-05-14 06:55:39

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AT&T / Computer Vision Laboratory / Intel / Innovation group / /

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Jubilee Campus / Linköping University / University of North Carolina / Chapel Hill / Institute of Transportation Studies / University of California / University of Nottingham / /

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real time road surveillance / vision applications / classifier training algorithm / Traffic surveillance systems / possible solution / Belief network / traffic management / simplest solution / web-based traffic flow maps / computing / possible solutions / vehicle detection algorithms / corner / filter algorithm / real time applications / /

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Chapel Hill / /

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Institute of Transportation Studies / CBCL / University of California / Linköping University / MIT / University of North Carolina / University of Nottingham / AI Lab / School of Computer Science and Information Technology / /

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FN FNR / Yan Wang / /

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L / /

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North Carolina / California / /

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Machine Vision / Information Technology / vehicle detection algorithms / Kalman filtering algorithm / Condensation / Kalman filter algorithm / AdaBoost classifier training algorithm / Image Processing / AdaBoost algorithm / ICondensation algorithms / Condensation algorithm / IPM algorithm / /

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