Skip to main content
Log in

Person video alignment with human pose registration

  • Letter
  • Published:
Frontiers of Computer Science Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

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

    Article  MathSciNet  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  Google Scholar 

  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

    Article  MathSciNet  Google Scholar 

  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

Download references

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).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Siya Mi.

Electronic Supplementary Material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Wang, Z., Zhou, J. et al. Person video alignment with human pose registration. Front. Comput. Sci. 17, 174324 (2023). https://doi.org/10.1007/s11704-022-1347-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11704-022-1347-7