This paper presents a new approach for detecting small, moving targets in noisy image sequences. This approach takes the following steps: 1) clutter suppressing, 2) adaptive thresholding, and 3) recursive maximum similarity filter. Among these processes, clutter suppressing algorithm and recursive maximum similarity (RMS) filter are a main contribution of this paper. Both of them can be implemented by fully parallel algorithm, and real-time is possible for image sequences at high frame rate. Test results show that the approach has ability to detect small low-contrast moving targets whose positions and trajectories are unknown.


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    Title :

    Small target detection in noisy image sequences


    Contributors:
    Jicheng Li (author) / Zhenkang Shen (author) / Weiping Yang (author)


    Publication date :

    1997-01-01


    Size :

    377254 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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