A comparative analysis of three image-change-detection algorithms is presented. They are: pairwise subtraction of consecutive images; a two-dimensional least-square adaptive algorithm; and an order-recursive least-square lattice adaptive algorithm. These algorithms are representatives of available procedures for image change detection in cluttered environments. The analysis is supported by computer simulations, using both recorded and computer-generated images. Discussions of real-time processor requirements for these algorithms are also given.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Adaptive target detection in image sequences


    Additional title:

    Adaptive Zieldetektion in Bildfolgen


    Contributors:
    Kesler, S.B. (author) / Chin, L. (author)


    Publication date :

    1989


    Size :

    8 Seiten, 37 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Small Target Detection in Noisy Image Sequences

    Li, J. / Shen, Z. / IEEE | British Library Conference Proceedings | 1997



    Extended target tracking in FLIR image sequences

    Samy, Roger A. / Duclos, Daniel | SPIE | 1993


    Adaptive Subsampling of Temporal Image Sequences

    Thompson, David R. / Wettergreen, David / Castano, Rebecca | NTRS | 2009


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

    Liu, D. / Zhang, J. / Dong, W. | British Library Online Contents | 2007