BCA: Bi-symmetric component analysis for temporal symmetry in human actions
In the past, many research efforts are invested into discriminative action recognition task but the general temporal structure of human actions is overlooked. In this paper, we focus on a specific yet common structure of human actions: temporal symmetry. The key contribution is that we model the temporal symmetry property of human action and separate this signal out of original action sequences without specifying which action category. Based on this modeling, a novel and effective method is proposed to detect the temporal symmetric part of any given human action sequence. Experimental results on two popular human action datasets verify that the temporal symmetry benefits both action detection and action recognition.