Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition

Jorge Fernández-Ramírez, Andrés Marino Álvarez-Meza, Álvaro-Ángel Orozco-Gutierrez, Julián David Echeverry Correa. Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition. In George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu, editors, Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II. Volume 11845 of Lecture Notes in Computer Science, pages 38-49, Springer, 2019. [doi]

@inproceedings{Fernandez-Ramirez19,
  title = {Infinite Gaussian Fisher Vector to Support Video-Based Human Action Recognition},
  author = {Jorge Fernández-Ramírez and Andrés Marino Álvarez-Meza and Álvaro-Ángel Orozco-Gutierrez and Julián David Echeverry Correa},
  year = {2019},
  doi = {10.1007/978-3-030-33723-0_4},
  url = {https://doi.org/10.1007/978-3-030-33723-0_4},
  researchr = {https://researchr.org/publication/Fernandez-Ramirez19},
  cites = {0},
  citedby = {0},
  pages = {38-49},
  booktitle = {Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II},
  editor = {George Bebis and Richard Boyle and Bahram Parvin and Darko Koracin and Daniela Ushizima and Sek Chai and Shinjiro Sueda and Xin Lin and Aidong Lu and Daniel Thalmann and Chaoli Wang and Panpan Xu},
  volume = {11845},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33723-0},
}