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Continuous Human Action Recognition for Human-Machine Interaction: A Review
[article]
2022
arXiv
pre-print
With advances in data-driven machine learning research, a wide variety of prediction models have been proposed to capture spatio-temporal features for the analysis of video streams. Recognising actions and detecting action transitions within an input video are challenging but necessary tasks for applications that require real-time human-machine interaction. By reviewing a large body of recent related work in the literature, we thoroughly analyse, explain and compare action segmentation methods
arXiv:2202.13096v1
fatcat:mczyeb5vyfgxdiubjhklwjrtlm