@InProceedings{QuiritaHappCostFeit:2017:SyTrEn,
author = "Quirita, Victor Hugo Ayma and Happ, Patrick Nigri and Costa,
Gilson Alexandre Ostwald Pedro da and Feitosa, Raul Queiroz",
affiliation = "ELECTRICAL ENGINEERING DEPARTMENT, PONTIFICAL CATHOLIC UNIVERSITY
OF RIO DE JANEIRO and ELECTRICAL ENGINEERING DEPARTMENT,
PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO and INFORMATICS
AND COMPUTER SCIENCE DEPARTMENT, STATE UNIVERSITY OF RIO DE
JANEIRO and ELECTRICAL ENGINEERING DEPARTMENT, PONTIFICAL CATHOLIC
UNIVERSITY OF RIO DE JANEIRO",
title = "Symbiotic tracker ensemble with feedback learning",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "OBJECT TRACKING, TRACKING FUSION.",
abstract = "Visual tracking is a challenging task due to a number of factors,
such as occlusions, deformations, illumination variations and
abrupt motion changes present in a video sequence. Generally,
trackers are robust to some of these factors, but do not achieve
satisfactory results when dealing with multiple factors at the
same time. More robust results when multiple factors are present
can be obtained by combining the results of different trackers. In
this paper we propose a multiple tracker fusion method, named
Symbiotic Tracker Ensemble with Feedback Learning (SymTE-FL),
which combines the results of a set of trackers to produce a
unified tracking estimate. The novelty of the method consists in
providing feedback to the individual trackers, so that they can
correct their own estimates, thus improving overall tracking
accuracy. The proposal is validated by experiments conducted upon
a publicly available database. The results show that the proposed
method delivered in average more accurate tracking estimates than
those obtained with individual trackers running independently and
with the original approach.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
doi = "10.1109/SIBGRAPI.2017.62",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2017.62",
language = "en",
ibi = "8JMKD3MGPAW/3PFR8KB",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PFR8KB",
targetfile = "2017_SIBGRAPI_VHAQ.pdf",
urlaccessdate = "2024, Apr. 27"
}