@InProceedings{PaixãoGracJrJr:2008:BaApGr,
author = "Paix{\~a}o, Thiago Meireles and Graciano, Ana Beatriz V. and Jr,
Roberto M. Cesar and Jr, Roberto Hirata",
affiliation = "{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP} and
{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP} and
{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP} and
{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP}",
title = "A Backmapping Approach for Graph-based Object Tracking",
booktitle = "Proceedings...",
year = "2008",
editor = "Jung, Cl{\'a}udio Rosito and Walter, Marcelo",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 21.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Digital Image Processing, Graph-based Segmentation, Object
Tracking.",
abstract = "Model-based methods play a central role to solve different
problems in computer vision. A particular important class of such
methods rely on graph models where an object is decomposed into a
number of parts, each one being represented by a graph vertex. A
graph model-based tracking algorithm has been recently introduced
in which a model is generated for a given frame (reference frame)
and used to track a target object in the subsequent ones. Because
the view of an object changes along the video sequence, the
solution updated the model using affine transformations. This
paper proposes a different approach and improves the previous one
in several ways. Firstly, instead of updating the model, each
analyzed frame is backmapped to the model space, thus providing
more robustness to the method because model parameters do not have
to be modified. A different method for model generation based on
user traces has also been implemented and used. This model
generation approach is much simpler and user-friendly. Finally, a
graph-matching algorithm that has been recently proposed is used
for object tracking. This new algorithm is more efficient and
leads to better matching results. Experimental results using
synthetic and real sequences from the CAVIAR project are shown and
discussed. .",
conference-location = "Campo Grande, MS, Brazil",
conference-year = "12-15 Oct. 2008",
doi = "10.1109/SIBGRAPI.2008.32",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2008.32",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/V8gFt",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/V8gFt",
targetfile = "hirata-Backmapping.pdf",
urlaccessdate = "2024, Apr. 30"
}