We present two different approaches for the identification of independently moving objects (IMOs) and demonstrate their application to outdoor imagery taken from a moving autonomous vehicle. Both approaches involve image stabilization followed by an analysis of the stabilized image sequence. The stabilization reduces the effects of the movement of the autonomous vehicle, facilitating the detection of the IMOs. In the first approach, IMOs are detected based on a filtering approach that integrates the results of velocity tuned filters over several frames. In the second approach IMOs are identified by constraints on allowable values of the optic flow field after stabilization.


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    Title :

    Detection of independently moving objects in passive video


    Contributors:
    Morimoto, C. (author) / DeMenthon, D. (author) / Davis, L. (author) / Chellappa, R. (author) / Nelson, R. (author)


    Publication date :

    1995-01-01


    Size :

    737735 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Detection of Independently Moving Objects in Passive Video

    Morimoto, C. / De Menthon, D. / Davis, L. et al. | British Library Conference Proceedings | 1995




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    Burns, J. / IEEE Computer Society | British Library Conference Proceedings | 2001