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@InProceedings{SilvaScha:2007:UnIdCo,
               author = "Silva, Luciano Silva da and Scharcanski, Jacob",
                title = "Unsupervised identification of coherent motion in video",
            booktitle = "Proceedings...",
                 year = "2007",
               editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes 
                         Vieira",
         organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20. 
                         (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "motion segmentation, point trajectories.",
             abstract = "The identification and classification of motion patterns in point 
                         trajectories has been an important issue in understanding and 
                         representing dynamic scenes. This paper proposes an unsupervised 
                         approach to identify coherent motion in video. Instead of 
                         producing a spatio-temporal segmentation of the raw data, the 
                         proposed method analyzes point trajectories along the video 
                         sequence to identify sets of points that move coherently. This new 
                         way of extracting motion information from videos potentially can 
                         be used in different areas of image processing and computer 
                         vision.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "SilvaSchrcanski_MotionCoherence.pdf",
        urlaccessdate = "2020, Oct. 24"
}


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