4 August 2009 Tracking and detection of small moving infrared target based on wavelet transform and fuzzy inference in complex dynamic background
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Abstract
An efficient approach based on wavelet transform is presented to detect the variation degree of dynamic background. Firstly, some candidate regions can be obtained by processing IR data through wavelet transform, then the degree of the difference between current and referenced background can be judged through detecting the difference of the above feature regions. Finally, the small moving target can be detected by improved eliminating background. At the same time, data association and robust tracking of the target can be realized by fuzzy inference. In addition, target' disappearing and new targets emerging phenomena occasionally arise during target tracking. This problem can be solved by 'memorizing and filling'. The proposed approach is validated using actual infrared image sequences. Experiment results indicate the feasibility and effectiveness of the proposed method.
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Wen-Jun Shi, Wen-Jun Shi, Deng-Wei Wang, Deng-Wei Wang, Na Wang, Na Wang, } "Tracking and detection of small moving infrared target based on wavelet transform and fuzzy inference in complex dynamic background", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738308 (4 August 2009); doi: 10.1117/12.830157; https://doi.org/10.1117/12.830157
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