Complex Human Action Recognition in Live Videos Using Hybrid FR-DL Method

6 Jul 2020 Fatemeh Serpush Mahdi Rezaei

Automated human action recognition is one of the most attractive and practical research fields in computer vision, in spite of its high computational costs. In such systems, the human action labelling is based on the appearance and patterns of the motions in the video sequences; however, the conventional methodologies and classic neural networks cannot use temporal information for action recognition prediction in the upcoming frames in a video sequence... (read more)

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