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

ArticleinInternational Journal of Infrared and Millimeter Waves 28(5):373-381 · April 2007with18 Reads
Impact Factor: 0.67 · DOI: 10.1007/s10762-007-9214-z


    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.