TY - GEN
T1 - Active background modeling
T2 - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
AU - Sznitman, Raphael
AU - Lin, Henry
AU - Gupta, Manaswi
AU - Hager, Gregory
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77953180727&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77953180727&partnerID=8YFLogxK
U2 - 10.1109/ICCVW.2009.5457469
DO - 10.1109/ICCVW.2009.5457469
M3 - Conference contribution
AN - SCOPUS:77953180727
SN - 9781424444427
T3 - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
SP - 1222
EP - 1228
BT - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Y2 - 27 September 2009 through 4 October 2009
ER -