Skip navigation
Logo
User training | Reference and search service

Library catalog

Retrievo
EDS
b-on
More
resources
Content aggregators
Please use this identifier to cite or link to this item:

acessibilidade

http://hdl.handle.net/10071/7427
acessibilidade
Title: Analysis of object description methods in a video object tracking environment
Authors: Carvalho, P.
Oliveira, T.
Ciobanu, L.
Gaspar, F.
Teixeira, L. F.
Bastos, R.
Cardoso, J. S.
Dias, J.
Corte-Real, L.
Keywords: Computer vision
Descriptors
Appearance models
Tracking assessment
Video object tracking
Issue Date: Aug-2013
Publisher: Springer-Verlag
Abstract: A key issue in video object tracking is the representation of the objects and how effectively it discriminates between different objects. Several techniques have been proposed, but without a generally accepted method. While analysis and comparisons of these individual methods have been presented in the literature, their evaluation as part of a global solution has been overlooked. The appearance model for the objects is a component of a video object tracking framework, depending on previous processing stages and affecting those that succeed it. As a result, these interdependencies should be taken into account when analysing the performance of the object description techniques. We propose an integrated analysis of object descriptors and appearance models through their comparison in a common object tracking solution. The goal is to contribute to a better understanding of object description methods and their impact on the tracking process. Our contributions are threefold: propose a novel descriptor evaluation and characterisation paradigm; perform the first integrated analysis of state-of-the-art description methods in a scenario of people tracking; put forward some ideas for appearance models to use in this context. This work provides foundations for future tests and the proposed assessment approach contributes to the informed selection of techniques more adequately for a given tracking application context. © 2013 Springer-Verlag Berlin Heidelberg
Description: WOS:000321871600004 (Nº de Acesso Web of Science)
Peer reviewed: Sim
URI: https://ciencia.iscte-iul.pt/public/pub/id/16889
http://hdl.handle.net/10071/7427
ISSN: 09328092
Publisher version: The definitive version is available at: http://dx.doi.org/10.1007/s00138-013-0523-z
Appears in Collections:CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica
ADETTI-RI - Artigo em revista científica internacional com arbitragem científica

Files in This Item:
acessibilidade
File Description SizeFormat 
publisher_version_VOT2013 Analysis of Object Descriptors.pdf1.36 MBAdobe PDFView/Open    Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.