IS = { zkontrolovano 23 Jan 2014 },
  UPDATE  = { 2014-01-06 },
  author       = {Sanchez-Riera, Jordi and Cech, Jan and Horaud, Radu P.},
  title        = {Action Recognition Robust to Background Clutter by Using Stereo Vision},
  booktitle    = {Proc. VECTaR ECCV Workshop},
  series       = {LNCS},
  pages = {332-341},
  address = {Heidelberg, Germany},
  isbn = {978-3-642-33862-5},
doi = {10.1007/978-3-642-33863-2_33},
  book_pages = {611},
  day          = {12},
  month        = {October},
  year         = {2012},
  publisher    = {Springer},
  url          = {http://perception.inrialpes.fr/Publications/2012/SCH12a},
  ANNOTE       = {An action recognition algorithm which works with binocular videos is presented. The proposed method uses standard bag-of-words approach, where each action clip is represented as a histogram of visual words. However, instead of using classical monocular HoG/HoF features, we construct features from the scene-flow computed by a matching algorithm on the sequence of stereo images. The resulting algorithm has a comparable or slightly better recognition accuracy than standard monocular solution in controlled setup with a single actor present in the scene. However, we show its significantly improved performance in case of strong background clutter due to other people freely moving behind the actor.},
  keywords     = {action recognition, stereo, scene-flow, bag-of-words},