@InProceedings{TrocoliOliv:2016:UsScCa,
               author = "Trocoli, Tiago and Oliveira, Luciano",
          affiliation = "{Federal University of Bahia} and {Federal University of Bahia}",
                title = "Using the scene to calibrate the camera",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "camera calibration, surveillance camera, auto calibration.",
             abstract = "Surveillance cameras are used in public and private security 
                         systems. Typical systems may contain a large number of different 
                         cameras, which are installed in different locations. Manual 
                         calibration of each single camera in the network becomes an 
                         exhausting task. Although we can find methods that 
                         semi-automatically calibrate a static camera, to the best of our 
                         knowledge, there is not a fully automatic calibration procedure, 
                         so far. To fill this gap, we propose here a novel framework for 
                         completely auto-calibration of static surveillance cameras, based 
                         on information of the scene (environment and walkers). 
                         Characteristics of the method include robustness to walkers' pose 
                         and to camera location (pitch, roll, yaw and height), and rapid 
                         camera parameter convergence. For a thorough evaluation of the 
                         proposed method, the walkers' foot-head projection, the length of 
                         the lines projected on the ground plane and the walkers' real 
                         heights were analyzed over public and private data sets, 
                         demonstrating the potential of the proposed method.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.069",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.069",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M4AUT5",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M4AUT5",
           targetfile = "PID4359737.pdf",
        urlaccessdate = "2024, May 03"
}