This paper is concerned with the estimation of trajectories for accelerated motion from image sequences. Unlike in many other approaches, that assume linear trajectories, we propose a quadratic model that incorporates both velocity and acceleration. This model corresponds better to practical applications especially when the estimation is performed over several images, e.g., in motion-compensated processing with extended temporal support. This is due to the fact that over longer time frame and in the presence of acceleration, quadratic trajectory is capable of providing a better intensity match than a simple displacement. The algorithm for the estimation of dense accelerated motion fields is formulated in this paper using regularization and the solution is based on deterministic relaxation implemented over a pyramid of resolutions. Extensive experimental results for test images with synthetic motion are presented.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimation of trajectories for accelerated motion from time-varying imagery


    Beteiligte:
    Chahine, M. (Autor:in) / Konrad, J. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    409000 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Estimation of Trajectories for Accelerated Motion from Time-Varying Imagery

    Chahine, M. / Konrad, J. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    IMPROVING TRACKING TRAJECTORIES WITH MOTION ESTIMATION

    Pomares, J. / Garcia, G. J. / Torres, F. et al. | British Library Conference Proceedings | 2006




    Spatio-temporal approach for time-varying image motion estimation

    Wei-Ge Chen / Giannakis, G.B. / Nandhakumar, N. | IEEE | 1994