View-Invariant Skeleton Action Representation Learning via Motion Retargeting

• Published in: International journal of computer vision Vol. 132; no. 7; pp. 2351 - 2366
• Main Authors: Yang, Di, Wang, Yaohui, Dantcheva, Antitza, Garattoni, Lorenzo, Francesca, Gianpiero, Brémond, François
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2024; Springer; Springer Nature B.V; Springer Verlag
• Subjects: Accuracy; Artificial Intelligence; Cameras; Classification; Computer Imaging; Computer Science; Computer Vision and Pattern Recognition; Datasets; Human performance; Image Processing and Computer Vision; Invariants; Machine learning; Pattern Recognition; Pattern Recognition and Graphics; Recognition; Representations; Video; Vision; Skeleton-based action recognition; Video understanding; Motion generation; Video representation learning

Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings. When dealing with estimated skeleton data in real-world videos , such methods perform poorly due to the large varia...