A Novel Approach for Human Action Recognition from Silhouette Images

作者：Maity Satyabrata^*; Bhattacharjee Debotosh; Chakrabarti Amlan

来源：IETE Journal of Research, 2017, 63(2): 160-171.

DOI：10.1080/03772063.2016.1242383

• Action-code classifier (AAC)
• Action units (AU)
• Human action recognition (HAR)
• Spatio-temporal body parts movement (STBPM)
• Trajectory analysis (TA)
• Video analysis

In this work, we propose a novel human action recognition (HAR) technique for human silhouette sequence based on spatio-temporal body parts movement (STBPM) and action-code classification (ACC). STBPM feature is designed to accumulate the signature of the activity of several body parts to accomplish any action. ACC is a code-based classifier for HAR, which needs no training and the codes of any action is created by analyzing the STBPM features. The proposed approach is view independent except the top view and scale invariant. The experimental results on publicly available Weizmann, MuHVAi, and IXMAS datasets clearly show that our proposed technique outperforms the related research works in terms of accuracy in the human action detection.

• 出版日期2017-4