@InProceedings{GracianoCesaBloc:2007:GrObTr,
author = "Graciano, Ana Beatriz Vicentim and Cesar-Jr, Roberto M. and Bloch,
Isabelle",
affiliation = "{Institute of Mathematics and Statistics - University of S{\~a}o
Paulo} and {Institute of Mathematics and Statistics - University
of S{\~a}o Paulo} and {Dept. TSI - ENST - Paris}",
title = "Graph-based Object Tracking Using Structural Pattern Recognition",
booktitle = "Proceedings...",
year = "2007",
editor = "Falc{\~a}o, Alexandre Xavier and Lopes, H{\'e}lio C{\^o}rtes
Vieira",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 20.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "object tracking, recognition, part-based, graph, video.",
abstract = "This paper proposes a model-based methodology for recognizing and
tracking objects in digital image sequences. Objects are
represented by attributed relational graphs (or ARGs), which carry
both local and relational information about them. The recognition
is performed by inexact graph matching, which consists in finding
an approximate homomorphism between ARGs derived from an input
video and a model image. Searching for a suitable homomorphism is
achieved through a tree-search optimization algorithm and the
minimization of a pre-defined cost function. Motion smoothness
between successive frames is exploited to achieve the recognition
over the whole sequence, with improved spatio-temporal
coherence.",
conference-location = "Belo Horizonte, MG, Brazil",
conference-year = "7-10 Oct. 2007",
doi = "10.1109/SIBGRAPI.2007.43",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2007.43",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/QRrno",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/QRrno",
targetfile = "graciano-GraphBasedTracking.pdf",
urlaccessdate = "2025, Feb. 12"
}