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Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model

Author
Gallego, J.; Pardas, M.; Haro, G.
Type of activity
Presentation of work at congresses
Name of edition
2009 IEEE International Conference on Image Processin
Date of publication
2009
Presentation's date
2009-11
Book of congress proceedings
Proceedings of the 16th IEEE International Conference on Image Processing
First page
3205
Last page
3208
Publisher
IEEE Press. Institute of Electrical and Electronics Engineers
DOI
https://doi.org/10.1109/ICIP.2009.5414380 Open in new window
Repository
http://hdl.handle.net/2117/9018 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5414380 Open in new window
Abstract
In this paper we present a segmentation system for monocular video sequences with static camera that aims at foreground/ background separation and tracking. We propose to combine a simple pixel-wise model for the background with a general purpose region based model for the foreground. The background is modeled using one Gaussian per pixel, thus achieving a precise and easy to update model. The foreground is modeled using a Gaussian Mixture Model with feature vectors consisting of the spatial (x,...
Citation
Gallego, J.; Pardas, M.; Haro, G. Bayesian foreground segmentation and tracking using pixel-wise background model and region-based foreground model. A: IEEE International Conference on Image Processing. "16th IEEE International Conference on Image Processing". Cairo: IEEE Press. Institute of Electrical and Electronics Engineers, 2009, p. 3205-3208.
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Gallego Vila, Jaime  (author and speaker )
  • Pardas Feliu, Montserrat  (author and speaker )
  • Haro Ortega, Gloria  (author and speaker )

Attachments