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Region-based particle filter for video object segmentation

Author
Varas, D.; Marques, F.
Type of activity
Presentation of work at congresses
Name of edition
IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2014
Date of publication
2014
Presentation's date
2014-06
Book of congress proceedings
2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings
First page
3470
Last page
3477
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/CVPR.2014.444 Open in new window
Repository
http://hdl.handle.net/2117/26051 Open in new window
Abstract
We present a video object segmentation approach that extends the particle filter to a region-based image representation. Image partition is considered part of the particle filter measurement, which enriches the available information and leads to a re-formulation of the particle filter. The prediction step uses a co-clustering between the previous image object partition and a partition of the current one, which allows us to tackle the evolution of non-rigid structures. Particles are defined as un...
Citation
Varas, D.; Marques, F. Region-based particle filter for video object segmentation. A: IEEE Conference on Computer Vision and Pattern Recognition. "2014 IEEE Conference on Computer Vision and Pattern Recognition, 23-28 June 2014, Columbus, Ohio: proceedings". Columbus, Ohio: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 3470-3477.
Keywords
Co-clustering, Object segmentation, Particle filter
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants