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Robust Tracking of Video Objects through Topological Constraint on Homogeneous Motion

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

Abstract

Considering the currently available methods for the motion analysis of video objects, we notice that the topological constraint on homogeneous motion is usually ignored in piecewise methods, or improperly imposed by blocks that do not have physical correspondence. In this paper we address the idea of area-based parametric motion estimation with spatial constraint involved, in order that the semantic segmentation and tracking of non-rigid object can be undertaken in interactive environment, which is the center demand of applications such as MPEG-4/7 or content-based video retrieval. The estimation of global motion and occlusion can also be computed through the tracking of background areas. Besides, based on the proposed hierarchical robust framework, the accurate motion parameters between correspondent areas can be obtained and the computational efficiency is improved remarkably.

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© 1999 Springer-Verlag Berlin Heidelberg

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Liao, M., Li, Y., Ma, S., Lu, H. (1999). Robust Tracking of Video Objects through Topological Constraint on Homogeneous Motion. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_39

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  • DOI: https://doi.org/10.1007/3-540-48762-X_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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