author = "Galdino, Leandro Lu{\'{\i}}s and Borges, D{\'{\i}}bio 
                title = "A visual attention model for tracking regions based on color 
                 year = "2000",
               editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
                pages = "36--43",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13. 
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
                 note = "The conference was held in Gramado, RS, Brazil, from October 17 to 
             keywords = "mage colour analysis; visual attention model; region tracking; 
                         color correlograms; visual data; reference frame; image 
                         segmentation; color regions; spectral information; spatial 
                         information; experiments; computer vision",
             abstract = "The amount of information contained in a single color shot of a 
                         scene is extreme considering the variety of tasks that can be 
                         performed relying on visual data only. For the purpose of 
                         analyzing scenes dynamically, where objects come and go, one has 
                         to work under a structure of a visual attention model which 
                         prioritizes what type of visual data the system has to follow. 
                         This paper presents a novel visual attention model for region 
                         tracking based on color correlograms. First, a reference frame is 
                         picked and it is segmented for the most significant color regions 
                         present in the shot. Color correlograms are then run on every 
                         frame after in order to provide spectral and spatial information, 
                         for the visual attention control, about the past and the new 
                         objects appearing on the scenes. The visual attention (VA) model 
                         then keeps track of old and new color regions appearing on the 
                         scene until a different frame is chosen. We have run experiments 
                         which show the performance of this proposed VA model.",
  conference-location = "Gramado, RS, Brazil",
      conference-year = "October",
         organisation = "SBC - Brazilian Computer Society",
           targetfile = "36-43.pdf",
        urlaccessdate = "2020, Nov. 26"