TY - GEN
T1 - Visual focus of attention recognition in the ambient kitchen
AU - Dong, Ligeng
AU - Di, Huijun
AU - Tao, Linmi
AU - Xu, Guangyou
AU - Oliver, Patrick
PY - 2010
Y1 - 2010
N2 - This paper presents a model for visual focus of attention recognition in the Ambient Kitchen, a pervasive computing prototyping environment. The kitchen is equipped with several blended displays on one wall and users may use information presented on these displays from multiple locations. Our goal is to recognize which display the user is looking at so that the environment can adjust the display content accordingly. We propose a dynamic Bayesian network model to infer the focus of attention, which models the relation between multiple foci of attention, multiple user locations and faces captured by the multiple cameras in the environment. Head pose is not explicitly computed but measured by a similarity vector which represents the likelihoods of multiple face clusters. Video data are collected in the Ambient Kitchen environment and experimental results demonstrate the effectiveness of our model.
AB - This paper presents a model for visual focus of attention recognition in the Ambient Kitchen, a pervasive computing prototyping environment. The kitchen is equipped with several blended displays on one wall and users may use information presented on these displays from multiple locations. Our goal is to recognize which display the user is looking at so that the environment can adjust the display content accordingly. We propose a dynamic Bayesian network model to infer the focus of attention, which models the relation between multiple foci of attention, multiple user locations and faces captured by the multiple cameras in the environment. Head pose is not explicitly computed but measured by a similarity vector which represents the likelihoods of multiple face clusters. Video data are collected in the Ambient Kitchen environment and experimental results demonstrate the effectiveness of our model.
UR - http://www.scopus.com/inward/record.url?scp=78650469747&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-12297-2_53
DO - 10.1007/978-3-642-12297-2_53
M3 - Conference contribution
AN - SCOPUS:78650469747
SN - 3642122965
SN - 9783642122965
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 548
EP - 559
BT - Computer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
T2 - 9th Asian Conference on Computer Vision, ACCV 2009
Y2 - 23 September 2009 through 27 September 2009
ER -