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Foreground objects segmentation for moving camera scenarios based on SCGMM

Author
Gallego, J.; Pardas, M.; Solano, M.
Type of activity
Book chapter
Book
Computational intelligence for multimedia understanding : International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011 : revised selected papers
First page
195
Last page
206
Publisher
Springer
Date of publication
2013-01-01
ISBN
978-3-642-32435-2
DOI
https://doi.org/10.1007/978-3-642-32436-9 Open in new window
Repository
http://hdl.handle.net/2117/18450 Open in new window
URL
http://link.springer.com/book/10.1007/978-3-642-32436-9/page/1 Open in new window
Abstract
In this paper we present a new system for segmenting non-rigid objects in moving camera sequences for indoor and outdoor sce narios that achieves a correct object segmentation via global MAP-MRF framework formulation for the foreground and background classification task. Our proposal, suitable for video indexation applications, receives as an input an initial segmentation of the object to segment and it consists of two region-based parametric probabilistic models to model the spatial (x,y) and c...
Citation
Gallego , J.; Pardas, M.; Solano, M. Foreground objects segmentation for moving camera scenarios based on SCGMM. A: "Computational intelligence for multimedia understanding : International Workshop, MUSCLE 2011, Pisa, Italy, December 13-15, 2011 : revised selected papers". Springer, 2013, p. 195-206.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants