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MH Pose: 3D Human Pose Estimation based on High-quality Heatmap

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PubDate: January 2022

Teams: Xiamen University of Technology

Writers: Huifen Zhou; Chaoqun Hong; Yong Han; Pengcheng Huang; Yanhui Zhuang

PDF: MH Pose: 3D Human Pose Estimation based on High-quality Heatmap

Abstract

Human pose estimation is a key technology in the field of human action recognition. It aims at recognizing human poses by extracting features in images or videos. At present, human body occlusion in multi-camera views is a major challenge for human body pose estimation. To tackle the problem, we proposed the MaxHeatmap Pose model. The model obtains high-quality heatmap estimation through the MH structure module, in order to locate the target person more accurately. Then the HumanPose regression network is proposed to estimate the detailed 3D human pose. The experimental results on the data set show that the performance of the model is better than previous methods.

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