@InProceedings{JúniorMuss:2011:AuDe2D,
               author = "J{\'u}nior, Humberto Souto and Musse, Soraia Raupp",
          affiliation = "PUCRS and PUCRS",
                title = "Automatic Detection of 2D Human Postures Based on Single Images",
            booktitle = "Proceedings...",
                 year = "2011",
               editor = "Lewiner, Thomas and Torres, Ricardo",
         organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "posture detection, single image, artificial neural network.",
             abstract = "Estimating human pose in static images is a challenging task due 
                         to the high dimensional state space, presence of image clutter and 
                         ambiguities of image observations. In this paper we propose a 
                         method to automatically detect human poses in a single image, 
                         based on a 2D model combined with anthropometric data. 
                         Furthermore, we use artificial neural networks to detect high 
                         level information about the human posture. Experimental results 
                         showed that the proposed technique performs well in non trivial 
                         images.",
  conference-location = "Macei{\'o}, AL, Brazil",
      conference-year = "28-31 Aug. 2011",
                  doi = "10.1109/SIBGRAPI.2011.4",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.4",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3A3P6LB",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A3P6LB",
           targetfile = "Sib2011_v4.pdf",
        urlaccessdate = "2024, Apr. 28"
}