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2002
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Segmentation of non-rigid video objects using long term temporal consistency

9 years 6 months ago
Segmentation of non-rigid video objects using long term temporal consistency
This paper presents a new object-based segmentation technique which exploits a large temporal context in order to get coherent and robust segmentation results. The segmentation process is seen as a problem of minimization of an energy function. This energy function takes into account a data attach term and spatial and temporal regularization terms. The proposed technique used to minimize this energy function is decomposed into three main steps: 1) definition of a technique for retrieving potential objects (referenced as seed extraction), 2) motion estimation for each seed, and 3) final classification performed by minimizing the energy function using a clustering-like technique. The proposed segmentation technique has been validated on real video sequences.
Henri Nicolas, Marc Chaumont, Stéphane Pate
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2002
Where ICIP
Authors Henri Nicolas, Marc Chaumont, Stéphane Pateux
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