DocumentCode :
2262718
Title :
Active background modeling: Actors on a stage
Author :
Sznitman, Raphael ; Lin, Henry ; Gupta, Manaswi ; Hager, Gregory
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD, USA
fYear :
2009
fDate :
Sept. 27 2009-Oct. 4 2009
Firstpage :
1222
Lastpage :
1228
Abstract :
Over the last two decades, background modeling techniques have focused on representing the general appearance of a background that is assumed to be predominantly static. However, there are many situations in which there are active, moving elements that are effectively part of the background. Examples include tools in manipulative tasks or work settings where a small, fixed set of people are moving about. Such situations are not well modeled by traditional methods. In this paper, we present a background modeling approach, Actors on a Stage (AOS), that is able to accommodate both passive and active backgrounds. AOS is presented as a general, recursive estimation scheme for a background model. In this model, actors are a latent variable that is used to explain both occlusion of, and abrupt changes to, a background model. We demonstrate AOS in two different situations: a person writing on a blackboard, and a microretinal membrane peel. Additionally, we show how our method performs compared to traditional techniques in these settings, and on standard image sequences.
Keywords :
image sequences; active background modeling; active backgrounds; general recursive estimation; latent variable; passive backgrounds; standard image sequences; Computer science; Computer vision; Conferences; Gaussian distribution; Image sequences; Layout; Object detection; Retina; Surgery; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4442-7
Electronic_ISBN :
978-1-4244-4441-0
Type :
conf
DOI :
10.1109/ICCVW.2009.5457469
Filename :
5457469
Link To Document :
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