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Model-based combined tracking and resolution enhancement

Kuhl, Annika, Tan, Tele and Venkatesh, Svetha 2008, Model-based combined tracking and resolution enhancement, in ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition, IEEE, Washington, D. C., pp. 1-4, doi: 10.1109/ICPR.2008.4760997.

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Title Model-based combined tracking and resolution enhancement
Author(s) Kuhl, Annika
Tan, Tele
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Conference on Pattern Recognition (19th : 2008 : Tampa, Fla.)
Conference location Tampa, Fla.
Conference dates 8-11 Dec. 2008
Title of proceedings ICPR 2008 : Proceedings of the 19th International Conference on Pattern Recognition
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on Pattern Recognition
Start page 1
End page 4
Total pages 4
Publisher IEEE
Place of publication Washington, D. C.
Keyword(s) 3-D mesh models
high resolution image
interpolation method
model-based
Non-planar objects
object of interests
resolution enhancement
resolution video
super resolution
wide area surveillance
Summary Wide area surveillance requires high-resolution images of the object of interest derived possibly from only low-resolution video of the whole scene. We propose a combined tracking and resolution enhancement approach that increases the resolution of the object of interest during tracking. The key idea is the use of an object-specific 3D mesh model with which we are able to track non-planar objects across a large number of frames. This model is subdivided such that every triangle is smaller than a pixel when projected into the image to facilitate super-resolution on the model rather than on the image. We apply our approach to faces and show that it outperforms interpolation methods by achieving resolution enhancement, while being less blurred.
ISBN 1424421748
9781424421749
ISSN 1051-4651
Language eng
DOI 10.1109/ICPR.2008.4760997
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2008, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044587

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.