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@InProceedings{SilvaFoSchnOliv:2012:MuSpRe,
               author = "Silva Filho, Jos{\'e} Grimaldo da and Schnitman, Leizer and 
                         Oliveira, Luciano Rebou{\c{c}}as de",
          affiliation = "{Universidade Federal da Bahia} and {Universidade Federal da 
                         Bahia} and {Universidade Federal da Bahia}",
                title = "Multi-Scale Spectral Residual Analysis to Speed up Image Object 
                         Detection",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno, 
                         Roberto and Silva, Luciano",
         organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "multi-scale spectral residue, saliency, person detection.",
             abstract = "Accuracy in image object detection has been usually achieved at 
                         the expense of much computational load. Therefore a trade-off 
                         between detection performance and fast execution commonly 
                         represents the ultimate goal of an object detector in real life 
                         applications. In this present work, we propose a novel method 
                         toward that goal. The proposed method was grounded on a 
                         multi-scale spectral residual (MSR) analysis for saliency 
                         detection. Compared to a regular sliding window search over the 
                         images, in our experiments, MSR was able to reduce by 75% (in 
                         average) the number of windows to be evaluated by an object 
                         detector. The proposed method was thoroughly evaluated over a 
                         subset of LabelMe dataset (person images), improving detection 
                         performance in most cases.",
  conference-location = "Ouro Preto",
      conference-year = "Aug. 22-25, 2012",
             language = "en",
           targetfile = "PID2440145.pdf",
        urlaccessdate = "2021, Jan. 24"
}


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