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Action in Mind: A Neural Network Approach to Action Recognition and Segmentation
[article]
2021
arXiv
pre-print
Recognizing and categorizing human actions is an important task with applications in various fields such as human-robot interaction, video analysis, surveillance, video retrieval, health care system and entertainment industry. This thesis presents a novel computational approach for human action recognition through different implementations of multi-layer architectures based on artificial neural networks. Each system level development is designed to solve different aspects of the action
arXiv:2104.14870v1
fatcat:cp7gnx34jbdq5o45zbfmhlrhlm