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Proceedings Paper

Effective target tracking from IR image sequence
Author(s): Fei Zhang; Chengfang Li; Lina Shi; Liang Zhang; Xiaowei Sun
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Paper Abstract

A novel TBD algorithm for tracking dim moving point target in IR image sequence with low SNR was demonstrated. Original images are preprocessed using temperature non-linear elimination and Top-hat operator, and then a composite frame is obtained by projecting operation along the time axis to reduce 3D spatio-temporal scanning for target to 2D spatial hunting. Finally the target trajectory is tracked under the condition of constant false-alarm probability (CFAR). From the experimental results, the algorithm can successfully detect dim moving point target and accurately estimate its trajectory. The algorithm, insensitive to the velocity mismatch and the changes of statistical distribution of background clutter, is adaptable to real-time target detection and tracking.

Paper Details

Date Published: 2 February 2006
PDF: 6 pages
Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310Z (2 February 2006);
Show Author Affiliations
Fei Zhang, Wuhan Univ. (China)
Shanghai Institute of Microsystem and Information Technology (China)
Chengfang Li, Wuhan Univ. (China)
Lina Shi, Wuhan Univ. (China)
Liang Zhang, Wuhan Univ. (China)
Xiaowei Sun, Shanghai Institute of Microsystem and Information 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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