On Flexible Trajectory Description for Effective Rigid Body Motion Reproduction and Recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12204-023-2604-0.pdf
Reference18 articles.
1. ZHANG H B, ZHANG Y X, ZHONG B N, et al. A comprehensive survey of vision-based human action recognition methods [J]. Sensors, 2019, 19(5): 1005.
2. KONG Y, FU Y. Human action recognition and prediction: A survey [J]. International Journal of Computer Vision, 2022, 130(5): 1366–1401.
3. GUO Y, LI Y F, SHAO Z P. RRV: A spatiotemporal descriptor for rigid body motion recognition [J]. IEEE Transactions on Cybernetics, 2018, 48(5): 1513–1525.
4. WU S D, LI Y F. Motion trajectory reproduction from generalized signature description [J]. Pattern Recognition, 2010, 43(1): 204–221.
5. VUKOVIĆ N, MITIĆ M, MILJKOVIĆ Z. Trajectory learning and reproduction for differential drive mobile robots based on GMM/HMM and dynamic time warping using learning from demonstration framework [J]. Engineering Applications of Artificial Intelligence, 2015, 45: 388–404.
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