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General Purpose Real-Time Object Tracking using Hausdorff Transforms

Vignon, D., Lovell, Brian C. and Andrews, Robert J. (2002). General Purpose Real-Time Object Tracking using Hausdorff Transforms. In: , Proceedings of the Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Annency, France, (1-6). 1-5 July, 2002.

 
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Author(s) Vignon, D.
Lovell, Brian C.
Andrews, Robert J.
Title of paper General Purpose Real-Time Object Tracking using Hausdorff Transforms
Conference name 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Conference location Annency, France
Conference dates 1-5 July, 2002
Proceedings title Proceedings of the Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Place published France
Publisher ESIA
Publication date 2002
Volume number 1
ISBN 2-9516453-5-X
Start page 1
End page 6
Collection year 2002
Abstract/Summary We describe a real-time computer-vision tracking module capable of using several Hausdorff distance based approaches to localize and match edge models in a scene. The implementation is based on widely supported software and hardware technologies such as Microsoft DirectX/DirectShow, Intel Image Processing and the Open Source Computer Vision libraries.
Subjects 280200 Artificial Intelligence and Signal and Image Processing
280000 Information, Computing and Communication Sciences
Keyword(s) Computer Vision
Hausdorff Distance
Object Tracking
iris-research
Additional Notes Invited paper
 
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Created: Wed, 04 Feb 2004, 10:00:00 EST by Brian C. Lovell on behalf of School of Information Technol and Elec Engineering. Detailed History