Video registration and face detection in an automatic multisensor surveillance system

Getian Ye; Jianxin Wei; Mark R. Pickering; Michael R. Frater; John F. Arnold

doi:10.1117/12.485862

1 April 2003 Video registration and face detection in an automatic multisensor surveillance system

Getian Ye, Jianxin Wei, Mark R. Pickering, Michael R. Frater, John F. Arnold

Proceedings Volume 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003; (2003) https://doi.org/10.1117/12.485862
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Getian Ye, Jianxin Wei, Mark R. Pickering, Michael R. Frater, and John F. Arnold "Video registration and face detection in an automatic multisensor surveillance system", Proc. SPIE 5099, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, (1 April 2003); https://doi.org/10.1117/12.485862

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