3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks
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DOI: 10.18280/ts.380203
Abstract: Received: 29 September 2020 Accepted: 8 March 2021 In this paper, we propose a method for classification 3D human activities using the complementarity of CNNs, LSTMs, and DNNs by combining them into one unified architecture… read more here.
Keywords: zernike moment; classification; activity classification; human activity ... See more keywords