Motion saliency based hierarchical attention network for action recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13441-7.pdf
Reference50 articles.
1. Cao C, Lan C, Zhang Y, Zeng W, Lu H, Zhang Y (2018) Skeleton-based action recognition with gated convolutional neural networks. IEEE Trans Circ Syst Video Technol
2. Chen C, Jafari R, Kehtarnavaz N (2015) Utd-mhad: a multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor. In: 2015 IEEE International conference on image processing (ICIP), pp 168–172. IEEE
3. Chen Y, Wang L, Li C, Hou Y, Li W (2020) Convnets-based action recognition from skeleton motion maps. Multimed Tools Appl 79 (3):1707–1725
4. Fan Z, Zhao X, Lin T, Su H (2018) Attention-based multiview re-observation fusion network for skeletal action recognition. IEEE Trans Multimed 21 (2):363–374
5. Feng J, Zhang S, Xiao J (2019) Explorations of skeleton features for lstm-based action recognition. Multimed Tools Appl 78(1):591–603
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