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Proceedings Paper

Video registration and face detection in an automatic multisensor surveillance system
Author(s): Getian Ye; Jianxin Wei; Mark R. Pickering; Michael R. Frater; John F. Arnold
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Paper Abstract

In this paper, we present a multisensor surveillance system that consists of an optical sensor and an infrared sensor. In this system, a background subtraction method based on the zero-order statistics is presented for the moving object segmentation. Additionally, we propose an iterative method for multisensor video registration based on the robust Hausdorff distance. An efficient face detection system is shown as an application that will have enhanced performance based on the registration and fusion of the information from the two sensors. Experimental results show the efficacy of the proposed system.

Paper Details

Date Published: 1 April 2003
PDF: 9 pages
Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); doi: 10.1117/12.485862
Show Author Affiliations
Getian Ye, Univ. of New South Wales, Australian Defence Force Academy (Australia)
Jianxin Wei, Univ. of New South Wales, Australian Defence Force Academy (Australia)
Mark R. Pickering, Univ. of New South Wales, Australian Defence Force Academy (Australia)
Michael R. Frater, Univ. of New South Wales, Australian Defence Force Academy (Australia)
John F. Arnold, Univ. of New South Wales, Australian Defence Force Academy (Australia)


Published in SPIE Proceedings Vol. 5099:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003
Belur V. Dasarathy, Editor(s)

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