@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, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.20",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.20",
language = "en",
ibi = "8JMKD3MGPBW34M/3C92QTP",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C92QTP",
targetfile = "PID2440145.pdf",
urlaccessdate = "2024, May 03"
}