@InProceedings{DiasNandBaraCorr:2004:OpGeRe,
               author = "Dias, Jos{\'e} Miguel Salles and Nande, Pedro and Barata, Nuno 
                         and Correia, Andr{\'e}",
          affiliation = "{ADETTI/ISCTE - Associa{\c{c}}{\~a}o para o Desenvolvimento das 
                         Telecomunica{\c{c}}{\~o}es e T{\'e}cnicas de Infom{\'a}tica}",
                title = "O.G.R.E. - Open Gestures Recognition Engine",
            booktitle = "Proceedings...",
                 year = "2004",
               editor = "Ara{\'u}jo, Arnaldo de Albuquerque and Comba, Jo{\~a}o Luiz Dihl 
                         and Navazo, Isabel and Sousa, Ant{\^o}nio Augusto de",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 17. 
                         (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 
                         (SIACG)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "hand gestures recognition, computer vision, human-computer 
                         interaction.",
             abstract = "In this paper, we describe a hand gesture recognition engine based 
                         on Computer Vision (CV), as a computing platform to support 
                         gesture interaction between humans and computers. Presenting a 
                         simple approach to recognizing gestures through image processing 
                         techniques and a single video camera, we address the problem of 
                         generic hand gestures recognition, especially of spelled Sign 
                         Language hand poses, introducing a preliminary study to its 
                         kinetic component. In our methodology, the system initially 
                         removes the background of captured images, eliminating irrelevant 
                         pixel information. The human hand is then detected, segmented and 
                         its contours localized. From these contours significant metrics 
                         are derived, allowing a search in a pre-defined hand poses’ 
                         library, where each pose is previously converted into a set of 
                         metric values. We discuss several algorithmic options to support 
                         our methodology and present experimental results, regarding the 
                         recognition of Portuguese Sign Language signs. We discuss future 
                         directions of our work.",
  conference-location = "Curitiba, PR, Brazil",
      conference-year = "17-20 Oct. 2004",
                  doi = "10.1109/SIBGRA.2004.1352940",
                  url = "http://dx.doi.org/10.1109/SIBGRA.2004.1352940",
             language = "en",
                  ibi = "6qtX3pFwXQZeBBx/D3uEq",
                  url = "http://urlib.net/ibi/6qtX3pFwXQZeBBx/D3uEq",
           targetfile = "4437_Dias_J_replacement.pdf",
        urlaccessdate = "2024, Apr. 29"
}