Spatiotemporal smoothing aggregation enhanced multi-scale residual deep graph convolutional networks for skeleton-based gait recognition
Author:
Funder
Shenzhen Startup Funding
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05422-0.pdf
Reference64 articles.
1. Li N, Zhao X (2023) A multi-modal dataset for gait recognition under occlusion. Appl Intell 53(2):1517–1534
2. Li G, Guo L, Zhang R et al (2023) Transgait: Multimodal-based gait recognition with set transformer. Appl Intell 53(2):1535–1547
3. Ben X, Gong C, Zhang P et al (2019) Coupled bilinear discriminant projection for cross-view gait recognition. IEEE Trans Circuits Syst Video Technol 30(3):734–747
4. Chao H, He Y, Zhang J, et al (2019) Gaitset: Regarding gait as a set for cross-view gait recognition. In: Proceedings of the AAAI conference on artificial intelligence, pp 8126–8133
5. Dang L, Nie Y, Long C, et al (2021) Msrgcn: Multi-scale residual graph convolution networks for human motion prediction. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp 11467–11476
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