Using models to recognise man-made objects

Objects in aerial images are extracted by using a method based on a two-dimensional viewer-centred model. Using this approach has advantages over existing methods because the models are easily created and it is efficient. Experiments illustrate the extraction and tracking of man-made objects in reco...

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Main Authors: Reno, A.L., Booth, D.M.
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Computerized monitoring
Image recognition
Object detection
Reconnaissance
Shape measurement
Surveillance
Target recognition
Target tracking
Working environment noise
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Booth, D.M.
description Objects in aerial images are extracted by using a method based on a two-dimensional viewer-centred model. Using this approach has advantages over existing methods because the models are easily created and it is efficient. Experiments illustrate the extraction and tracking of man-made objects in reconnaissance images. In later work we intend to extend the method to allow selection between different object types, or between different views of the same object.
doi_str_mv 10.1109/VS.1999.780266
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identifier ISBN: 9780769500379
ispartof Proceedings Second IEEE Workshop on Visual Surveillance (VS'99) (Cat. No.98-89223), 1999, p.33-40
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computer vision
Computerized monitoring
Image recognition
Object detection
Reconnaissance
Shape measurement
Surveillance
Target recognition
Target tracking
Working environment noise
title Using models to recognise man-made objects
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