A Novel 3D Human Action Recognition Framework for Video Content Analysis

    MMM, pp. 42-53, 2018.

    Cited by: 5|Bibtex|Views10|Links
    EI

    Abstract:

    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

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