Straightening Curved Traffic Lanes in Video

Nick Miller, David M. Swart


Video based vehicle sensing from uncalibrated cameras provides
useful traffic information to modern Intelligent Transportation Systems
(ITS). This requires vehicle tracking and Turning Movement
Counts (TMCs). Traffic scenes contain vehicle motion constrained
along possibly curved traffic lanes which can be normalized into
straight lines. A simple interpolation scheme is presented which
projects to image sequences where vehicles always appear to move
straight horizontally for simplified vehicle tracking.

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