A fully automatic vision-based technique to extract traffic data from scenes of roadway is proposed. This involves the application of a scene analysis technique to find, identify and determine the coordinates of moving vehicles and pedestrians in each frame. The coordinates/time data are translated into a number of traffic flow parameters. A number of detection and tracking algorithms are implemented in the OCCAM language to run on a transputer-image processing system. The application of the MAT-transform as an aid for vehicle classification is investigated. The initial results are discussed.
Vehicle and pedestrian detection and tracking
Optische Erkennung und Verfolgung von Fahrzeugen und Fußgängern
IEE Colloquium on 'Image Analysis for Transport Applications' ; No.035 ; 5/1-5/7
1990
, 12 Quellen
Conference paper
English
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