Traffic detection with multiple outputs depending on type of object detected
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United States of America Patent
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Aug 16, 2016
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Nov 16, 2015
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Nov 16, 2015
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Abstract
A multi-object zonal traffic detection framework analyzes temporal and spatial information from one or more sensors in a classification engine that identifies and differentiates objects within a single identified traffic detection zone. The classification engine applies a whole scene analysis and an adaptive background zone detection model to classify cars, trucks, bicycles, pedestrians, incidents, and other objects within the single identified traffic detection zone and generates counts for each object type for traffic system management.
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