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Proceedings Paper

An new algorithm of infrared moving small targets recognition
Author(s): Haihui Wang
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Paper Abstract

Detection and recognition of the dim moving small targets in the infrared image sequences containing cloud clutter is an important research area, especially for Infrared Search and Track surveillance applications. In the paper, the author propose a new algorithm having high performance for detecting moving small targets in infrared image sequences containing cloud clutter. The novelty of the algorithm is that it fuses the features of the moving small targets in both the spatial domain and temporal domain. Two independent units can realize the calculative process. Another advantage of the method is that it can get the better detection precision than some other methods. We also present the algorithm based on image fusion and Kalman tracking that can track a number of very small, low constant objects through an image sequence taken from a static camera.

Paper Details

Date Published: 2 February 2006
PDF: 7 pages
Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 603115 (2 February 2006); doi: 10.1117/12.668044
Show Author Affiliations
Haihui Wang, Wuhan Institute of Chemical Technology (China)


Published in SPIE Proceedings Vol. 6031:
ICO20: Remote Sensing and Infrared Devices and Systems
Jingshan Jiang; O. Yu. Nosach; Jiaqi Wang, Editor(s)

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