Jianchu Lin1,2, Shuang Li3, Hong Qin3,4, Hongchang Wang3, Ning Cui6, Qian Jiang7, Haifang Jian3,*, Gongming Wang5,*
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1621-1651, 2023, DOI:10.32604/cmes.2022.020857
Abstract 3D human pose estimation is a major focus area in the field of computer vision, which plays an important role
in practical applications. This article summarizes the framework and research progress related to the estimation of
monocular RGB images and videos. An overall perspective of methods integrated with deep learning is introduced.
Novel image-based and video-based inputs are proposed as the analysis framework. From this viewpoint, common
problems are discussed. The diversity of human postures usually leads to problems such as occlusion and ambiguity,
and the lack of training datasets often results in poor generalization ability of the model. Regression… More >
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