DocumentCode
280645
Title
Vehicle and pedestrian detection and tracking
Author
Ali, A.T. ; Dagless, E.L.
Author_Institution
Bristol Univ., UK
fYear
1990
fDate
32920
Firstpage
42491
Lastpage
42497
Abstract
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
Keywords
computer vision; computerised pattern recognition; parallel processing; road traffic; traffic computer control; MAT-transform; OCCAM; automatic vision-based technique; computer vision; computerised pattern recognition; pedestrian detection; road vehicle tracking; time data; traffic computer control; traffic flow parameters; transputer-image processing system; vehicle classification;
fLanguage
English
Publisher
iet
Conference_Titel
Image Analysis for Transport Applications, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
191010
Link To Document