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A Robust Multi-Camera Approach to Object Tracking and Position Determination using a Self-Organising Map Initialised through Cross-Ratio Generated "Virtual Points"

Meagher, Tim, Maire, Frederic D., & Wong, On (2004) A Robust Multi-Camera Approach to Object Tracking and Position Determination using a Self-Organising Map Initialised through Cross-Ratio Generated "Virtual Points". In Mohammadian, Masoud (Ed.) International Conference on Computational Intelligence for Modelling Control and Automation - CIMCA'2004, 12 - 14 July 2004, Sheraton Mirage Hotel, Gold Coast, Australia.

Abstract

This paper presents a new method for the tracking of an object, and the determination of its absolute position using the image coordinates provided from multiple cameras. Existing methods used in multi-camera tracking systems require the calibration of all camera parameters, with re-calibration needed when cameras are moved. The proposed method obtains the image coordinates of an object at known locations and generates "virtual points" that are used as initial codebook vectors in a Self-Organising Map. This is achieved through a novel use of the cross-ratio invariance. The use of the Self-Organising Map also allows for camera movement, addition and removal without the need for re-calibration. Experimental results are presented demonstrating the tracking capability of the system.

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314 since deposited on 04 Jan 2006
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ID Code: 2984
Item Type: Conference Paper
Keywords: Object tracking, multi camera systems
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2004 (please consult author)
Deposited On: 04 Jan 2006
Last Modified: 29 Feb 2012 23:08

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