@Article{BreveZhaoQuilMaca:2009:ChPhSy,
author = "Breve, Fabricio A. and Zhao, Liang and Quiles, Marcos G. and
Macau, Elbert Einstein Nehrer",
affiliation = "Department of Computer Science, Institute of Mathematics and
Computer Science, University of S{\~a}o Paulo and Department of
Computer Science, Institute of Mathematics and Computer Science,
University of S{\~a}o Paulo and Department of Computer Science,
Institute of Mathematics and Computer Science, University of
S{\~a}o Paulo and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Chaotic phase synchronization and desynchronization in an
oscillator network for object selection",
journal = "Neural Networks",
year = "2009",
volume = "22",
number = "5-6 Special Issue",
pages = "728--737",
month = "July-Aug.",
keywords = "chaotic phase synchronization, object selection, shifting
mechanism, visual-attention, scene segmentation, neural-network,
cortex, modulation, search, model, cat.",
abstract = "Object selection refers to the mechanism of extracting objects of
interest while ignoring other objects and background in a given
visual scene. It is a fundamental issue for many computer vision
and image analysis techniques and it is still a challenging task
to artificial Visual systems. Chaotic phase synchronization takes
place in cases involving almost identical dynamical systems and it
means that the phase difference between the systems is kept
bounded over the time, while their amplitudes remain chaotic and
may be uncorrelated. Instead of complete synchronization, phase
synchronization is believed to be a mechanism for neural
integration in brain. In this paper, an object selection model is
proposed. Oscillators in the network representing the salient
object in a given scene are phase synchronized, while no phase
synchronization occurs for background objects. In this way, the
salient object can be extracted. In this model, a shift mechanism
is also introduced to change attention from one object to another.
Computer simulations show that the model produces some results
similar to those observed in natural vision systems.",
doi = "10.1016/j.neunet.2009.06.027",
url = "http://dx.doi.org/10.1016/j.neunet.2009.06.027",
issn = "0893-6080",
label = "lattes: 0793627832164040 4 BreveZhaoQuilMaca:2009:ChPhSy",
language = "en",
targetfile = "1-s2.0-S089360800900135X-main.pdf",
urlaccessdate = "15 jun. 2024"
}