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Xiaobing Xu and Yaping Zhang
Running posture estimation is a specialized task in human pose estimation that has received relatively little research attention due to the lack of appropriate datasets. To address this issue, this paper presents the construction of a new benchmark datas...
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Jiayao Liang and Mengxiao Yin
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predic...
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Meng Wu and Pudong Shi
To address the problem of poor detection and under-utilization of the spatial relationship between nodes in human pose estimation, a method based on an improved spatial temporal graph convolutional network (ST-GCN) model is proposed. Firstly, upsampling ...
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Jong-Wook Kim, Jin-Young Choi, Eun-Ju Ha and Jae-Ho Choi
Seniors who live alone at home are at risk of falling and injuring themselves and, thus, may need a mobile robot that monitors and recognizes their poses automatically. Even though deep learning methods are actively evolving in this area, they have limit...
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Xinjing Zhang and Qixun Zhou
Human pose estimation, as the basis of advanced computer vision, has a wide application perspective. In existing studies, the high-capacity model based on the heatmap method can achieve accurate recognition results, but it encounters many difficulties wh...
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Shuwei Gan, Xiaohu Zhang, Sheng Zhuge, Chenghao Ning, Lijun Zhong and You Li
Space exploration missions involve significant participation from astronauts. Therefore, it is of great practical importance to assess the astronauts? performance via various parameters in the cramped and weightless space station. In this paper, we propo...
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Siqi Zhang, Chaofang Wang, Wenlong Dong and Bin Fan
Depth ambiguity is one of the main challenges of three-dimensional (3D) human pose estimation (HPE). The recent strategies of disambiguating have brought significant progress and remarkable breakthroughs in the field of 3D human pose estimation (3D HPE)....
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Jen-Li Chung, Lee-Yeng Ong and Meng-Chew Leow
Human pose estimation (HPE) has become a prevalent research topic in computer vision. The technology can be applied in many areas, such as video surveillance, medical assistance, and sport motion analysis. Due to higher demand for HPE, many HPE libraries...
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Mario Milicevic, Vedran Batos, Adriana Lipovac and Zeljka Car
Deep regression models are widely employed to solve computer vision tasks, such as human age or pose estimation, crowd counting, object detection, etc. Another possible area of application, which to our knowledge has not been systematically explored so f...
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Kim Ferres, Timo Schloesser and Peter A. Gloor
This paper describes an emotion recognition system for dogs automatically identifying the emotions anger, fear, happiness, and relaxation. It is based on a previously trained machine learning model, which uses automatic pose estimation to differentiate e...
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