A neural network approach to bayesian background modeling for video object segmentation

Dubravko Culibrk, Oge Marques, Daniel Socek, Hari Kalva, Borko Furht. A neural network approach to bayesian background modeling for video object segmentation. In Alpesh Ranchordas, Helder Araújo, Bruno Encarnação, editors, VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2 Volumes, Setúbal, Portugal, February 25-28, 2006. pages 474-479, INSTICC - Institute for Systems and Technologies of Information, Control and Communication, 2006.

@inproceedings{CulibrkMSKF06,
  title = {A neural network approach to bayesian background modeling for video object segmentation},
  author = {Dubravko Culibrk and Oge Marques and Daniel Socek and Hari Kalva and Borko Furht},
  year = {2006},
  tags = {modeling, object-role modeling, systematic-approach},
  researchr = {https://researchr.org/publication/CulibrkMSKF06},
  cites = {0},
  citedby = {0},
  pages = {474-479},
  booktitle = {VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications, 2 Volumes, Setúbal, Portugal, February 25-28, 2006},
  editor = {Alpesh Ranchordas and Helder Araújo and Bruno Encarnação},
  publisher = {INSTICC - Institute for Systems and Technologies of Information, Control and Communication},
  isbn = {972-8865-40-6},
}