Temporal Profile Based Small Moving Target Detection Algorithm in Infrared Image Sequences

A new algorithm is presented which deals with the problem of detecting small moving targets in infrared image sequences that also contain drifting and evolving clutter. Through development of models of the temporal behavior of the static background, target and cloud edge on a single pixel basis, the...

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Bibliographic Details
Published inInternational journal of infrared and millimeter waves Vol. 28; no. 5; pp. 373 - 381
Main Authors Liu, Delian, Zhang, Jianqi, Dong, Weike
Format Journal Article
LanguageEnglish
Published New York Springer Nature B.V 01.05.2007
Subjects
Algorithms
Clutter
Infrared imagery
Infrared imaging
Moving targets
Normal distribution
Target detection
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Summary:A new algorithm is presented which deals with the problem of detecting small moving targets in infrared image sequences that also contain drifting and evolving clutter. Through development of models of the temporal behavior of the static background, target and cloud edge on a single pixel basis, the new algorithm employing the connecting line of the stagnation points (CLSP) of the temporal profile as the baseline is created and tested. The deviation of the temporal profile and its CLSP is analyzed and it is determined that the distribution of the residual temporal profile obtained by subtracting the baseline from the temporal profile can be modeled by a Gaussian distribution. The occurrences of the targets have intensity values significantly different to the distribution of the residual temporal profile. Unlike the conventional 3-D method, this new algorithm operates on the temporal profile in 1-D space, not in 3-D space, thus having a higher computational efficiency. Experiments with real IR image sequences have proved the validity of the new approach.
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ISSN:0195-9271
1866-6892
1572-9559
1866-6906
DOI:10.1007/s10762-007-9214-z