@article{Dassatti:8236,
      recid = {8236},
      author = {Dassatti, Alberto and Masera, Guido and Piccinini,  Gianluca},
      title = {Low complexity motion detection with background modeling},
      publisher = {7-11 april 2008},
      journal = {Proceedings of the 3rd International Conference on  Information and Communication Technologies: From Theory to  Applications},
      address = {Damascus, Syria. 2008-04},
      number = {CONFERENCE},
      pages = {6 p.},
      note = {DASSATTI Alberto est chercheur à la HES-SO, HEIG-VD,  depuis 2012.},
      abstract = {Motion detection is of utmost importance in several  applications such as video surveillance, remote sensing and  medical diagnosis, and a large number of algorithms have  been proposed for implementation. In this paper we focus on  low resources scenarios where standard solutions are  inapplicable. We present a novel algorithm that exploits  spacial correlation of neighbor pixels in an image to get  the most accurate view of the moving scene without  increasing computational burden. In conjunction with the  proposed algorithm we investigate, to the best of our  knowledge for the first time, several background models and  update policies, comparing available approaches and  exploring trade-offs between complexity and detection  capability.},
      url = {http://arodes.hes-so.ch/record/8236},
      doi = {https://doi.org/10.1109/ICTTA.2008.4530099},
}