TY - GEN
T1 - Analyzing human interactions with a network of dynamic probabilistic models
AU - Suk, Heung Il
AU - Sin, Bong Kee
AU - Lee, Seong Whan
PY - 2009
Y1 - 2009
N2 - In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interaction is represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the internal work of an interaction network and comparing the performance with other previous approaches.
AB - In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interaction is represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the internal work of an interaction network and comparing the performance with other previous approaches.
UR - http://www.scopus.com/inward/record.url?scp=77951147635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951147635&partnerID=8YFLogxK
U2 - 10.1109/WACV.2009.5403108
DO - 10.1109/WACV.2009.5403108
M3 - Conference contribution
AN - SCOPUS:77951147635
SN - 9781424454976
T3 - 2009 Workshop on Applications of Computer Vision, WACV 2009
BT - 2009 Workshop on Applications of Computer Vision, WACV 2009
T2 - 2009 Workshop on Applications of Computer Vision, WACV 2009
Y2 - 7 December 2009 through 8 December 2009
ER -