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arXiv · 2008.10060

Multi-Person Full Body Pose Estimation

Haoyi Zhu·Cheng Jie·Shaofei Jiang
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Abstract

Multi-person pose estimation plays an important role in many fields. Although previous works have researched a lot on different parts of human pose estimation, full body pose estimation for multi-person still needs further research. Our work has developed an integrated model through knowledge distillation which can estimate full body poses. Trained based on the AlphaPose system and MSCOCO2017 dataset, our model achieves 51.5 mAP on the validation dataset annotated manually by ourselves. Related resources are available at https://esflfei.github.io/esflfei.gethub.io/website.html.

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Haoyi Zhu, Cheng Jie, Shaofei Jiang. 2020-08-23. Multi-Person Full Body Pose Estimation. https://arxiv.org/abs/2008.10060

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