Person video alignment with human pose registration

Yu ZHANG, Zihua WANG, Jingyang ZHOU, Siya MI

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (4) : 174324.

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Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (4) : 174324. DOI: 10.1007/s11704-022-1347-7
Artificial Intelligence
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Person video alignment with human pose registration

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Yu ZHANG, Zihua WANG, Jingyang ZHOU, Siya MI. Person video alignment with human pose registration. Front. Comput. Sci., 2023, 17(4): 174324 https://doi.org/10.1007/s11704-022-1347-7

References

[1]
Gao C, Chen Y, Yu J G, Sang N . Pose-guided spatiotemporal alignment for video-based person re-identification. Information Sciences, 2020, 527: 176–190
[2]
Sun J J, Zhao J, Chen L C, Schroff F, Adam H, Liu T. View-invariant probabilistic embedding for human pose. In: Proceedings of the 16th European Conference on Computer Vision. 2020, 53−70
[3]
Dwibedi D, Aytar Y, Tompson J, Sermanet P, Zisserman A. Temporal cycle-consistency learning. In: Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2019, 1801−1810
[4]
Chen Y, Huang T, Niu Y, Ke X, Lin Y . Pose-guided spatial alignment and key frame selection for one-shot video-based person re-identification. IEEE Access, 2019, 7: 78991–79004
[5]
Petric Maretic H, El Gheche M, Chierchia G, Frossard P. GOT: an optimal transport framework for graph comparison. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2019, 1245
[6]
Zhu L, Fan H, Luo Y, Xu M, Yang Y . Few-shot common-object reasoning using common-centric localization network. IEEE Transactions on Image Processing, 2021, 30: 4253–4262
[7]
Wu L, Wang Y, Shao L . Cycle-consistent deep generative hashing for cross-modal retrieval. IEEE Transactions on Image Processing, 2019, 28( 4): 1602–1612
[8]
Wang X, Jabri A, Efros A A. Learning correspondence from the cycle-consistency of time. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019, 2561−2571
[9]
Zhi Y, Tong Z, Wang L, Wu G. MGSampler: an explainable sampling strategy for video action recognition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021, 1513−1522
[10]
Fang H S, Xie S, Tai Y W, Lu C. RMPE: regional multi-person pose estimation. In: Proceedings of the IEEE International Conference on Computer Vision. 2017, 2353−2362

Acknowledgements

This work was supported by the National Key R&D Program of China (2018AAA0100104, 2018AAA0100100), the National Natural Science Foundation of China (Grant No. 61702095), and the Natural Science Foundation of Jiangsu Province (BK20211164, BK20 190341).

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