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General Purpose Real-Time Object Tracking using Hausdorff Transforms

By D. Vignon, Brian C. Lovell and Robert J. Andrews

Abstract

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

Topics: Computer Vision, Hausdorff Distance, Object Tracking, iris-research, 280000 Information, Computing and Communication Sciences, 280200 Artificial Intelligence and Signal and Image Processing
Publisher: ESIA
Year: 2002
OAI identifier: oai:espace.library.uq.edu.au:UQ:11283

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