Paper
18 January 2004 Joint space-time motion-based video segmentation and occlusion detection using multiphase level sets
Author Affiliations +
Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.523975
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Spatial video segmentation is usually performed based on motion between two frames. Some recent approaches extend this to joint segmentation in space-time; the resulting 3-D segmentation can be interpreted as a volume "carved out" by a moving object in the image sequence domain, or the so-called "object tunnel". In this paper, we extend this concept to explicit modeling of occlusion events in space-time. In addition to the modeling of object evolution, we also explicitly model occluded and newly-exposed areas in the background by means of "occlusion volume", a new space-time concept. A voxel belongs to occlusion volume if its intensity is consistent with past intensities along its motion trajectory but inconsistent with future intensities (reversed for "exposed volume"). We propose a variational formulation of the problem that we solve using the multiphase level set method. We show encouraging experimental results for synthetic and natural image sequences.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mirko Ristivojevic and Janusz Konrad "Joint space-time motion-based video segmentation and occlusion detection using multiphase level sets", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.523975
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image segmentation

Motion models

Motion estimation

Video

Motion measurement

3D modeling

Motion detection

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