When a moving object is recorded in a sequence of digital image frames, the Fourier transform may be used to detect its motion and speed. This technique is especially suitable for detecting a slow movement in a noisy environment. When detecting a slow movement, a large number of frames may be needed, which involves a large amount of samples. If frames are skipped uniformly to reduce the number of samples, aliases from higher frequencies may occur. Random sampling at a sub-Nyquist rate can overcome aliasing, which fits this application perfectly if the frames are taken irregularly in time. Since frames are usually taken regularly, a pseudo-random method may be adopted.<>


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    Title :

    Application of random and pseudo-random sampling for tracking moving objects


    Contributors:
    Lo, K.C. (author) / Purvis, A. (author)


    Publication date :

    1994-01-01


    Size :

    254066 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Application of Random and Pseudo-Random Sampling for Tracking Moving Objects

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