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Joint space-time image sequence segmentation: object tunnels and occlusion volumes | IEEE Conference Publication | IEEE Xplore

Joint space-time image sequence segmentation: object tunnels and occlusion volumes


Abstract:

Spatial segmentation of image sequences is usually computed based on motion between two frames. Some recent approaches extend this to joint segmentation in space-time; th...Show More

Abstract:

Spatial segmentation of image sequences is usually computed based on motion between two frames. Some recent approaches extend this to joint segmentation in space-time; the resulting 3D segmentation (in x-y-t space) can be interpreted as a volume "carved out" by a moving object in the image sequence domain, or the so-called "object tunnel". We extend this concept to explicit modeling of occlusion events in the x-y-t space. In addition to the modeling of object evolution, we also model occluded and newly-exposed areas in the background and in the object by means of an "occlusion volume", a new space-time concept. We propose a variational formulation of the problem that we solve using the multiphase level set method. We show experimental results for synthetic and natural image sequences.
Date of Conference: 17-21 May 2004
Date Added to IEEE Xplore: 30 August 2004
Print ISBN:0-7803-8484-9
Print ISSN: 1520-6149
Conference Location: Montreal, QC, Canada

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