author = "Mota, Virg{\'{\i}}nia Fernandes and Souza, J{\'e}ssica Ione 
                         Concei{\c{c}}{\~a}o and Ara{\'u}jo, Arnaldo de Albuquerque and 
                         Vieira, Marcelo Bernardes",
          affiliation = "{Universidade Federal de Minas Gerais} and {Universidade Federal 
                         de Minas Gerais} and {Universidade Federal de Minas Gerais} and 
                         {Universidade Federal de Juiz de Fora}",
                title = "Combining Orientation Tensors for Human Action Recognition",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva, 
         organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Histogram of gradients, Orientation tensor, Motion description, 
                         Human action recognition.",
             abstract = "This paper presents a new tensor motion descriptor based on 
                         histogram of oriented gradients. We model the temporal evolution 
                         of gradient distribution with orientation tensors in equally sized 
                         blocks throughout the video sequence. Subsequently, these blocks 
                         are concatenated to create the final descriptor. Using a SVM 
                         classifier, even without any bag-of-feature based approach, our 
                         method achieves recognition rates greater than those found by 
                         other HOG techniques on KTH dataset and a competitive recognition 
                         rate for UCF11 and Hollywood2 datasets.",
  conference-location = "Arequipa, Peru",
      conference-year = "Aug. 5-8, 2013",
             language = "en",
           targetfile = "paper_mota_114911.pdf",
        urlaccessdate = "2020, Dec. 04"