@InProceedings{MotaDiaSanVieAra:2015:TeClHu,
               author = "Mota, Virginia Fernandes and Dias, Gabriel Dutra and Santos, 
                         Wisney Tadeu dos and Vieira, Marcelo Bernardes and Ara{\'u}jo, 
                         Arnaldo de Albuquerque",
          affiliation = "{NPDI/DCC/UFMG and COLTEC/UFMG} and COLTEC/UFMG and COLTEC/UFMG 
                         and GCG/DCC/UFJF and NPDI/DCC/UFMG",
                title = "Tensor Clustering for Human Action Recognition",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Rios, Ricardo Araujo and Paiva, Afonso",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "orientation tensor, tensor clustering, bag-of-features, human 
                         action recognition.",
             abstract = "In this work, we present a new technique called Bag- of-tensors. 
                         This research aims to create a new method for video description 
                         based on tensors which takes into account the nature of the tensor 
                         and its anisotropic properties. Therefore, the Bag-of- tensors is 
                         composed by three main steps: Feature extraction with tensor 
                         creation, coding based on tensor clustering and aggregated 
                         pooling. For the task of human action recognition, we used the KTH 
                         dataset. Our experiments show that this technique is promising and 
                         interesting to be further explored.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "en",
                  ibi = "8JMKD3MGPBW34M/3JRK52L",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JRK52L",
           targetfile = "paper_id_13_wip2015.pdf",
        urlaccessdate = "2024, Apr. 28"
}