A GPU-Based Statistical Framework for Moving Object Segmentation: Implementation, Analysis and Applications

Alfredo Cuzzocrea, Enzo Mumolo, Alessandro Moro, Kazunori Umeda. A GPU-Based Statistical Framework for Moving Object Segmentation: Implementation, Analysis and Applications. In Giuseppe Di Fatta, Giancarlo Fortino, Wenfeng Li, Mukaddim Pathan, Frederic T. Stahl, Antonio Guerrieri, editors, Internet and Distributed Computing Systems - 8th International Conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings. Volume 9258 of Lecture Notes in Computer Science, pages 209-220, Springer, 2015. [doi]

@inproceedings{CuzzocreaMMU15-0,
  title = {A GPU-Based Statistical Framework for Moving Object Segmentation: Implementation, Analysis and Applications},
  author = {Alfredo Cuzzocrea and Enzo Mumolo and Alessandro Moro and Kazunori Umeda},
  year = {2015},
  doi = {10.1007/978-3-319-23237-9_19},
  url = {http://dx.doi.org/10.1007/978-3-319-23237-9_19},
  researchr = {https://researchr.org/publication/CuzzocreaMMU15-0},
  cites = {0},
  citedby = {0},
  pages = {209-220},
  booktitle = {Internet and Distributed Computing Systems - 8th International Conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings},
  editor = {Giuseppe Di Fatta and Giancarlo Fortino and Wenfeng Li and Mukaddim Pathan and Frederic T. Stahl and Antonio Guerrieri},
  volume = {9258},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-23236-2},
}