@InProceedings{FührJung:2012:RoPaPe,
author = "F{\"u}hr, Gustavo and Jung, Cl{\'a}udio Rosito",
affiliation = "{Universidade Federal do Rio Grande do Sul} and {Universidade
Federal do Rio Grande do Sul}",
title = "Robust patch-based pedestrian tracking using monocular calibrated
cameras",
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 = "patch-based tracking, wvmf, homography, pedestrian tracking.",
abstract = "Although several methods for pedestrian tracking can be found in
the literature, robustly tracking a person in unconstrained
environments is an open and active research problem. In this
paper, we propose a method that represents each pedestrian as a
set of multiple fragments, aiming robustness with respect to
occlusions. These patches are tracked individually and their
translation vectors are combined robustly in the world coordinate
frame using Weighted Vector Median Filters (WVMF). Additionally,
the algorithm uses the camera parameters to both estimate the
person scale in a straightforward manner and to limit the search
region used to track each fragment. Experiments carried out using
two publicly available datasets (PETS and TownCentre) are
presented, and they indicate that the proposed method is robust to
partial occlusions and large scale changes. According to our
experiments, the proposed approach outperforms, regarding the
quality of localization, some of the methods in the current state
of the art.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.31",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.31",
language = "en",
ibi = "8JMKD3MGPBW34M/3C9KEBE",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9KEBE",
targetfile = "sibgrapi2012_revision_v3.pdf",
urlaccessdate = "2024, Apr. 29"
}