Learning with few labels for skeleton-based action recognition

Human Action Recognition, which involves discerning human actions, is vital for many real-world applications. Skeleton sequences, tracing human body joint trajectories, capture essential human motions, making them appropriate for action recognition. Compared to RGB videos or depth data, 3D skeleton...

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Bibliographic Details
Main Author: Yang, Siyuan
Other Authors: Alex Chichung Kot
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/173603
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Institution: Nanyang Technological University
Language: English