Effective target tracking from IR image sequence

Fei Zhang; Chengfang Li; Lina Shi; Liang Zhang; Xiaowei Sun

doi:10.1117/12.668037

2 February 2006 Effective target tracking from IR image sequence

Fei Zhang, Chengfang Li, Lina Shi, Liang Zhang, Xiaowei Sun

Proceedings Volume 6031, ICO20: Remote Sensing and Infrared Devices and Systems; 60310Z (2006) https://doi.org/10.1117/12.668037
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

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.

Citation Download Citation

Fei Zhang, Chengfang Li, Lina Shi, Liang Zhang, and Xiaowei Sun "Effective target tracking from IR image sequence", Proc. SPIE 6031, ICO20: Remote Sensing and Infrared Devices and Systems, 60310Z (2 February 2006); https://doi.org/10.1117/12.668037

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KEYWORDS

Target detection

Signal to noise ratio

Detection and tracking algorithms

Infrared imaging

Digital breast tomosynthesis

Image filtering

Infrared search and track

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