Results 261 to 270 of about 60,919 (294)

Human pose estimation based on human limbs

2016 23rd International Conference on Pattern Recognition (ICPR), 2016
Modeling the relationship among human joints is one of the most important components in human pose estimation. Previous methods usually define this relationship as geometric constraints on the relative location of two neighboring joints. In this definition, the local image appearance of the region connecting two neighboring joints is ignored.
Guoqiang Liang 0001, Xuguang Lan, Jiang Wang 0001, Nanning Zheng 0001   +3 more
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HUMAN POSE ESTIMATION

International Scientific Journal of Engineering and Management
In "Human Pose Estimation" with integrated feedback mechanisms to assess and guide users in achieving correct poses. Utilizing advanced deep learning techniques in computer vision, the system swiftly detects key points on the human body and provides instant feedback on pose accuracy.
Wei Shen, Chongjie Si, Chen Yang, Yong Yu   +3 more
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Posebits for Monocular Human Pose Estimation

2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
We advocate the inference of qualitative information about 3D human pose, called posebits, from images. Posebits represent boolean geometric relationships between body parts (e.g., left-leg in front of right-leg or hands close to each other). The advantages of posebits as a mid-level representation are 1) for many tasks of interest, such qualitative ...
Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn   +2 more
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Human Body Pose Estimation with PSO

2006 IEEE International Conference on Evolutionary Computation, 2006
In this paper we describe the application of Particle Swarm Optimisation to the problem of human body pose estimation from multiple view video sequences. We use a subdivision body model with an underlying skeleton layer to estimate and illustrate the body pose.
Spela Ivekovic, Emanuele Trucco
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A deep structure for human pose estimation

Signal Processing, 2015
Articulated human pose estimation in unconstrained conditions is a great challenge. We propose a deep structure that represents a human body in different granularity from coarse-to-fine for better detecting parts and describing spatial constrains between different parts.
Lin Zhao 0003, Xinbo Gao 0001, Dacheng Tao, Xuelong Li 0001   +3 more
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Pose Estimation of Complex Human Motion

Proceedings of the 3rd International Conference on Video and Image Processing, 2019
In this paper, a human body pose estimation method based on skeleton matching is proposed. In the process of human body pose skeleton matching, we obtain the key point feature information of the human body by performing CNN operation on the input image: the joint point heat map, and the joint point according to the specific connection rules are ...
Fei Lei, Zhanghong An, Xueli Wang
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Modelling and estimating the pose of a human arm

Machine Vision and Applications, 2003
Pose estimation of 3-D objects based on monocular computer vision is an ill-posed problem. To ease matters a model-based approach can be applied. Such an approach usually relies on iterating when matching the model and the image data. In this paper we estimate the 3-D pose of a human arm from a monocular image.
Thomas B. Moeslund, Erik Granum
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Bilateral Pose Transformer for Human Pose Estimation

Proceedings of the 4th International Symposium on Signal Processing Systems, 2022
Chia-Chen Yen, Tao Pin, Hongmin Xu
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Camera Pose Estimation using Human Head Pose Estimation

Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022
Robert Fischer 0009, Michael Hödlmoser, Margrit Gelautz   +2 more
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Human Pose Estimation

2015
The aim of human pose estimation is to detect and estimate the configuration of the articulation structure of a person. Human pose estimation has become a popular research topic including a wide range of approaches. Marker-based approaches, for example, are one of the most precise methods, but they need special markers attached to the human body.
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