HIGHLIGHTS
- who: Tech Science Press et al. from the School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia Department of Computer, The University of Chenab, Gujrat, Pakistan have published the paper: Leveraging Transfer Learning for Spatio-Temporal Human Activity Recognition from Video Sequences, in the Journal: (JOURNAL)
- what: This study proposes a two-stream ConvNet to extract features from video sequences and finetunes a deep neural_network.. The aim of this study is to classify human activities from video sequences. This study proposes a generic, dense computational model. In the future, the authors aim to detect human . . .
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