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- W628491796 abstract "This paper desribes a process to classify vehicles into simple groups in real time, using television pictures as an input source. The image processing is done using rapac, a special purpose machine developed at the University of Sheffield. The high speed algorithm used is called vehicle outline template matching (VOTM) algorithm. This compares the outlines of moving vehicles to a set of template outlines which represent each of the vehicle classes to be recognised. (these templates are only valid over defined regions of the images due to perspective effects.) the method whereby moving vehicle outlines (mo's) are generated is described as is the use of local neighbour operators to clean up the image obtained, the method of generating the class template outline, and the means of comparing the template outline to the moving outline. Problems encountered due to perspective effects when aligning the Mo with the template outline and the methods used to overcome them are also described. Post spatial correlation filtering methods used to increase the discrimination of the recognition process are also described and evaluated. Time domain normalisation is used to compensate for vehicle speed, and moving outline capture and vehicle path are also compensated for. Test results indicate that if the result is positive, then a correct match has been achieved. For the covering abstract of the conference see IRRD 819738. (TRRL)" @default.
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- W628491796 date "1989-01-01" @default.
- W628491796 modified "2023-09-26" @default.
- W628491796 title "AUTOMATIC VEHICLE RECOGNITION. SECOND INTERNATIONAL CONFERENCE ON ROAD TRAFFIC MONITORING" @default.
- W628491796 hasPublicationYear "1989" @default.
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