TY - GEN
T1 - Adaptive background modeling for paused object regions
AU - Shimad, Atsushi
AU - Yoshinaga, Satoshi
AU - Taniguchi, Rin Ichiro
PY - 2011
Y1 - 2011
N2 - Background modeling has been widely researched to detect moving objects from image sequences. Most approaches have a falsenegative problem caused by a stopped object. When a moving object stops in an observing scene, it will be gradually trained as background since the observed pixel value is directly used for updating the background model. In this paper, we propose 1) a method to inhibit background training, and 2) a method to update an original background region occluded by stopped object. We have used probabilistic approach and predictive approach of background model to solve these problems. The great contribution of this paper is that we can keep paused objects from being trained.
AB - Background modeling has been widely researched to detect moving objects from image sequences. Most approaches have a falsenegative problem caused by a stopped object. When a moving object stops in an observing scene, it will be gradually trained as background since the observed pixel value is directly used for updating the background model. In this paper, we propose 1) a method to inhibit background training, and 2) a method to update an original background region occluded by stopped object. We have used probabilistic approach and predictive approach of background model to solve these problems. The great contribution of this paper is that we can keep paused objects from being trained.
UR - http://www.scopus.com/inward/record.url?scp=80053125931&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053125931&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-22822-3_2
DO - 10.1007/978-3-642-22822-3_2
M3 - Conference contribution
AN - SCOPUS:80053125931
SN - 9783642228216
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 12
EP - 22
BT - Computer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers
T2 - International Workshops on Computer Vision, ACCV 2010
Y2 - 8 November 2010 through 9 November 2010
ER -