TY - GEN
T1 - Activity recognition based on semantic spatial relation
AU - Meng, Lingxun
AU - Qing, Laiyun
AU - Yang, Peng
AU - Miao, Jun
AU - Chen, Xilin
AU - Metaxas, Dimitris N.
PY - 2012
Y1 - 2012
N2 - We propose an approach to recognize group activities which involve several persons based on modeling the interactions between human bodies. Benefitted from the recent progress in pose estimation [1], we model the activities as the interactions between the parts belong to the same person (intra-person) and those between the parts of different persons (inter-person). Then a unified, discriminative model which integrates both types of interactions is developed. The experiments on the UT-Interaction Dataset [2] show the promising results and demonstrate the power of the interacting models.
AB - We propose an approach to recognize group activities which involve several persons based on modeling the interactions between human bodies. Benefitted from the recent progress in pose estimation [1], we model the activities as the interactions between the parts belong to the same person (intra-person) and those between the parts of different persons (inter-person). Then a unified, discriminative model which integrates both types of interactions is developed. The experiments on the UT-Interaction Dataset [2] show the promising results and demonstrate the power of the interacting models.
UR - https://www.scopus.com/pages/publications/84874581088
UR - https://www.scopus.com/pages/publications/84874581088#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84874581088
SN - 9784990644109
T3 - Proceedings - International Conference on Pattern Recognition
SP - 609
EP - 612
BT - ICPR 2012 - 21st International Conference on Pattern Recognition
T2 - 21st International Conference on Pattern Recognition, ICPR 2012
Y2 - 11 November 2012 through 15 November 2012
ER -