A Novel 3D Human Action Recognition Framework for Video Content Analysis
MMM, pp. 42-53, 2018.
Understanding the meanings of human actions from 3D skeleton data embedded videos is a new challenge in content-oriented video analysis. In this paper, we propose to incorporate temporal patterns of joint positions with currently popular Long Short-Term Memory (LSTM) based learning to improve both accuracy and robustness. Regarding 3D act...More
Full Text (Upload PDF)
PPT (Upload PPT)