@InProceedings{CarvalhoFerrBran:2017:CoPoRe,
               author = "Carvalho, Gabriel Peixoto de and Ferreira, Fernando Teubl and 
                         Brand{\~a}o, Andr{\'e} Luiz",
          affiliation = "{Universidade Federal do ABC} and {Universidade Federal do ABC} 
                         and {Universidade Federal do ABC}",
                title = "Comparing pose recognition algorithms and introducing a new 
                         approach",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "hand pose recognition, multi-layer perceptron, support vector 
                         machines, SURF, SIFT, HOG, Camshift, gesture tracking.",
             abstract = "Gesture-based interaction with 3D objects is commonly done using 
                         color and depth (RGB-D) information. This kind of scheme requires 
                         specialized software and hardware (camera and depth sensor) which 
                         increases both financial and computational cost. Most of the 
                         public does not have access to such kind of technology due to 
                         these increased costs. Our ongoing study will be an approach for 
                         interaction with 3D objects with color (RGB) information and hand 
                         poses recognition. The interaction target is those made by one 
                         person with a single webcam. In this study, we intend to evaluate 
                         the use of commonly available algorithms to implement a pose 
                         acquisition scheme and present a comparative study of 
                         classification algorithms to achieve a low-cost and real-time 
                         interaction. Preliminary results demonstrate satisfactory 
                         performance with the hand pose acquisition scheme and 
                         classification algorithms, pointing to a real-time interaction 
                         capability.",
  conference-location = "Niter{\'o}i, RJ, Brazil",
      conference-year = "17-20 Oct. 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PHL48H",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3PHL48H",
           targetfile = "
                         
                         comparingposerecognitionalgorithms-gabrielpeixoto-al_camera_ready.pdf",
        urlaccessdate = "2024, May 02"
}