This paper presents a new method for automatically separating the motion of multiple independently moving objects in a sequence of images based on the notion of illumination subspace. We show that intensities of observed trajectories of image features on a single body lie on a linearly independent frame space with three, or fewer, dimensions. We then argue that it is possible in theory to determine the grouping of the feature points by way of separating the illumination subspaces. As a clue for practical separation, we also introduce the surface interaction matrix which is valid for Lambertian reflectance surface. Recently, several authors have presented different algorithms on this task of grouping by factorization-based procedures using the coordinates of image features. While the challenges in their approaches are to realize the robust performance in the presence of noise, we propose to incorporate the above photometric analysis available at given feature points in the conventional schemes of motion segmentation, and show that the performance is indeed stabilized through experiments on real and synthetic image sequences.


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    Titel :

    Illumination subspace for multibody motion segmentation


    Beteiligte:
    Maki, A. (Autor:in) / Hattori, H. (Autor:in)


    Erscheinungsdatum :

    2001-01-01


    Format / Umfang :

    987878 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Illumination Subspace for Multibody Motion Segmentation

    Maki, A. / Hattori, H. / IEEE | British Library Conference Proceedings | 2001


    Photometric subspace for multibody motion segmentation

    Maki, A. | British Library Online Contents | 2004


    Multibody motion segmentation based on simulated annealing

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    Multibody Grouping via Orthogonal Subspace Decomposition

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    Multibody Motion Segmentation Based on Simulated Annealing

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