@InProceedings{LacerdaLaceAndrShig:2017:DeMuId,
               author = "Lacerda, Marielcio Gon{\c{c}}alves and Lacerda, Camila Souza dos 
                         Anjos and Andrade, Leidiane do Livramento and Shiguemori, Elcio 
                         Hideiti",
                title = "Detec{\c{c}}{\~a}o de Mudan{\c{c}}a para 
                         Identifica{\c{c}}{\~a}o de Objetos M{\'o}veis em V{\'{\i}}deo 
                         UHD",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "7094--7101",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Several sensors provide a very large range of data with different 
                         characteristics. In this line, this work aims to demonstrate an 
                         application for Data Fusion. An algorithm in OpenCV designed to 
                         detect moving objects in Ultra HD video purchased by Iris camera, 
                         installed on the Zvezda module of the International Space Station 
                         (ISS). The study area is located in Vancouver, Canada. The images 
                         are from Deimos-2 satellite in 1C level. The first stage of the 
                         research was to detect moving objects between successive frames of 
                         high resolution video. The detection of moving objects resulted in 
                         new images containing motion information, thus it was possible to 
                         separate the moving objects in the scene. In order to highlight 
                         the changes were applied one thresholding in the change detection 
                         image creating a binary image. So as to reduce the possibility of 
                         false positives, especially those generated by the movement of the 
                         sensor, was applied a morphological operation erosion. Finally, a 
                         new video was created showing the moving objects over time, 
                         allowing monitoring of these objects. In the second stage, there 
                         was the match between the georeferenced panchromatic image and the 
                         video frames of moving object, which allowed the identification of 
                         the object position associated with the each frame of video to 
                         monitor the displacement of objects.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59958",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMF55",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMF55",
           targetfile = "59958.pdf",
                 type = "VANTs, videografia e alta resolu{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}