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@InProceedings{GracianoCesaBloc:2007:GrObTr,
               author = "Graciano, Ana Beatriz Vicentim and Cesar-Jr, Roberto M. and Bloch, 
                         Isabelle",
          affiliation = "{Institute of Mathematics and Statistics - University of S{\~a}o 
                         Paulo} and {Institute of Mathematics and Statistics - University 
                         of S{\~a}o Paulo} and {Dept. TSI - ENST - Paris}",
                title = "Graph-based Object Tracking Using Structural Pattern Recognition",
            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 = "object tracking, recognition, part-based, graph, video.",
             abstract = "This paper proposes a model-based methodology for recognizing and 
                         tracking objects in digital image sequences. Objects are 
                         represented by attributed relational graphs (or ARGs), which carry 
                         both local and relational information about them. The recognition 
                         is performed by inexact graph matching, which consists in finding 
                         an approximate homomorphism between ARGs derived from an input 
                         video and a model image. Searching for a suitable homomorphism is 
                         achieved through a tree-search optimization algorithm and the 
                         minimization of a pre-defined cost function. Motion smoothness 
                         between successive frames is exploited to achieve the recognition 
                         over the whole sequence, with improved spatio-temporal 
                         coherence.",
  conference-location = "Belo Horizonte",
      conference-year = "Oct. 7-10, 2007",
             language = "en",
           targetfile = "graciano-GraphBasedTracking.pdf",
        urlaccessdate = "2020, Oct. 26"
}


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