author = "Jacques Jr, Julio Cezar Silveira and Jung, Claudio Rosito and 
                         Musse, Soraia Raupp",
          affiliation = "UNISINOS",
                title = "Background subtraction and shadow detection in grayscale video 
            booktitle = "Proceedings...",
                 year = "2005",
               editor = "Rodrigues, Maria Andr{\'e}ia Formico and Frery, Alejandro 
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 18. 
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "background modelling, shadow detection, normalized 
             abstract = "Tracking moving objects in video sequence is an important problem 
                         in computer vision, with applications several fields, such as 
                         video surveillance and target tracking. Most techniques reported 
                         in the literature use background subtraction techniques to obtain 
                         foreground objects, and apply shadow detection algorithms 
                         exploring spectral information of the images to retrieve only 
                         valid moving objects. In this paper, we propose a small 
                         improvement to an existing background model, and incorporate a 
                         novel technique for shadow detection in grayscale video sequences. 
                         The proposed algorithm works well for both indoor and outdoor 
                         sequences, and does not require the use of color cameras..",
  conference-location = "Natal",
      conference-year = "9-12 Oct. 2005",
             language = "en",
           targetfile = "jacquesjj_shadow.pdf",
        urlaccessdate = "2021, Nov. 27"