More accurate heatmap generation method for human pose estimation
Author:
Funder
the National Natural Science Foundation of China
Gansu Provincial Department of Education Higher Education Industry Support Plan Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00530-024-01390-0.pdf
Reference49 articles.
1. Chen, H., Feng, R., Wu, S., Xu, H., Zhou, F., Liu, Z.: 2d human pose estimation: a survey. Multimed. Syst. 29(5), 3115–3138 (2023). https://doi.org/10.1007/s00530-022-01019-0
2. Chen, Y., Tian, Y., He, M.: Monocular human pose estimation: a survey of deep learning-based methods. Comput. Vis. Image Underst. 192, 102897 (2020). https://doi.org/10.1016/j.cviu.2019.102897
3. Dubey, S., Dixit, M.: A comprehensive survey on human pose estimation approaches. Multimed. Syst. 29(1), 167–195 (2023). https://doi.org/10.1007/s00530-022-00980-0
4. Andriluka, M., Roth, S., Schiele, B.: Pictorial structures revisited: people detection and articulated pose estimation. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1014–1021. IEEE (2009). https://doi.org/10.1109/cvpr.2009.5206754
5. Johnson, S., Everingham, M.: Clustered pose and nonlinear appearance models for human pose estimation. In: Bmvc, vol. 2, p. 5. Aberystwyth, UK (2010). https://doi.org/10.5244/c.24.12
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