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Foreground objects segmentation for moving camera scenarios based on SCGMM

Author
Gallego, J.; Pardas, M.; Solano, M.
Type of activity
Presentation of work at congresses
Name of edition
International Workshop on Computational Intelligence for Multimedia Understanding 2011
Date of publication
2011
Presentation's date
2011
Book of congress proceedings
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
First page
195
Last page
206
DOI
https://doi.org/10.1007/978-3-642-32436-9_17 Open in new window
Repository
http://hdl.handle.net/2117/117555 Open in new window
URL
https://link.springer.com/chapter/10.1007/978-3-642-32436-9_17 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 scenarios 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 co...
Citation
Gallego, J., Pardas, M., Solano, M. Foreground objects segmentation for moving camera scenarios based on SCGMM. A: International Workshop on Computational Intelligence for Multimedia Understanding. "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)". 2011, p. 195-206.
Keywords
Moving camera sequences, Object segmentation, SCGMM, Video indexation
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants