Title :
Activity recognition based on semantic spatial relation
Author :
Lingxun Meng ; Laiyun Qing ; Peng Yang ; Jun Miao ; Xilin Chen ; Metaxas, Dimitris N.
Author_Institution :
Sch. of Inf. Sci. & Eng., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
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.
Keywords :
pose estimation; UT-Interaction dataset; activity modeling; group activity recognition; human activity recognition; interaction modeling; pose estimation; semantic spatial relation; unified discriminative model; Biological system modeling; Estimation; Humans; Image recognition; Joints; Semantics; Testing;
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
978-1-4673-2216-4