DocumentCode :
3256055
Title :
Bayesian Tracking of Linear Structures in Aerial Images
Author :
Gao, Rui ; Bischof, Walter F.
Author_Institution :
Dept. of Comput. Sci., Univ. of Alberta, Edmonton, AB, Canada
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
306
Lastpage :
312
Abstract :
The interpretation of aerial images is difficult, especially for low-resolution images. Although solutions have been worked on for many years, performance of these systems is still not sufficient to be useful in practical applications. One potential solution is to create systems composed of many specialized modules. We introduce one such module, a Bayesian tracker for linear structures, such as pipelines and access roads. We show that the tracker can be used successfully to detect these structures in low-resolution images.
Keywords :
Bayes methods; image resolution; remote sensing; tracking; Bayesian tracking; aerial image; low-resolution image; Application software; Bayesian methods; Computer vision; Humans; Image edge detection; Pipelines; Pixel; Remote sensing; Roads; Robot vision systems; Bayesian tracking; aerial images; image interpretation; pipeline tracking; road tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2009. CRV '09. Canadian Conference on
Conference_Location :
Kelowna, BC
Print_ISBN :
978-0-7695-3651-4
Type :
conf
DOI :
10.1109/CRV.2009.8
Filename :
5230505
Link To Document :
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