We present a novel method of velocity field estimation for points on moving contours in an image sequence. The method determines the corresponding point in the next image frame by considering curvature changes at each point on a contour. In previous methods, there are errors in estimation for the points which have low curvature variations since those methods compute the solutions by approximating the normal component of optical flow. The proposed method computes optical flow vectors of contour points by minimizing the curvature changes. As a first step, snakes are used to locate smooth curves in 2D imagery. Then, the extracted curves are tracked continuously. We excluded the rearranging process in snakes and allowed the snaxel distance to vary. Each point on a contour has a unique corresponding point in the nest frame. Experimental results showed that the proposed method computes accurate optical flow vectors for various moving contours.


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    Titel :

    A curvature-based approach to contour motion estimation


    Beteiligte:
    Jong Seung Park (Autor:in) / Joon Hee Han (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    696735 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Curvature-Based Approach to Contour Motion Estimation

    Seung Park, J. / Hee Han, J. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Contour matching: a curvature-based approach

    Seung Park, J. / Hee Han, J. | British Library Online Contents | 1998


    Error Analysis of Curvature-Based Contour Measurement Devices

    Wang, C. / Bass, C. R. / Crandall, J. | SAE Technical Papers | 2000


    Error analysis of curvature-based contour measurement devices

    Bass,C.R. / Wang,C. / Crandall,J. et al. | Kraftfahrwesen | 2000


    Camera motion estimation by tracking contour deformation: Precision analysis

    Alenyà, Guillem / Torras, Carme | BASE | 2010

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