The effect of depth data and upper limb impairment on lightweight monocular RGB human pose estimation models. [PDF]
Biomed Eng OnlineBoudreault-Morales GE +3 more
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Enhanced human pose estimation using YOLOv8 with Integrated SimDLKA attention mechanism and DCIOU loss function: Analysis of human body behavior and posture. [PDF]
PLoS OneXu X +6 more
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Assessment of temporospatial and kinematic gait parameters using human pose estimation in patients with Parkinson's disease: A comparison between near-frontal and lateral views. [PDF]
PLoS OneKim J, Kim R, Byun K, Kang N, Park K.
europepmc +1 more source
Validity Analysis of Monocular Human Pose Estimation Models Interfaced with a Mobile Application for Assessing Upper Limb Range of Motion. [PDF]
Sensors (Basel)Moreira R +8 more
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Human Pose Estimation in Videos
2015 IEEE International Conference on Computer Vision (ICCV), 2015In this paper, we present a method to estimate a sequence of human poses in unconstrained videos. In contrast to the commonly employed graph optimization framework, which is NP-hard and needs approximate solutions, we formulate this problem into a unified two stage tree-based optimization problem for which an efficient and exact solution exists ...
Dong Zhang, Mubarak Shah
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A Survey on Human Pose Estimation
Intelligent Automation & Soft Computing, 2015Human pose estimation has attracted widespread attention due to its important application value and theoretical significance. A systemic survey of human pose estimation would be very meaningful.
Hongbo Zhang 0002 +4 more
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On the Robustness of 3D Human Pose Estimation
2020 25th International Conference on Pattern Recognition (ICPR), 2021It is widely shown that Convolutional Neural Networks (CNNs) are vulnerable to adversarial examples on most recognition tasks, such as image classification and segmentation. However, few work studies the more complicated task - 3D human pose estimation.
Zerui Chen +2 more
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Human Pose Estimation in UAV-Human Workspace
2021A 6D human pose estimation method is studied to assist autonomous UAV control in human environments. As autonomous robots/UAVs become increasingly prevalent in the future workspace, autonomous robots must detect/estimate human movement and predict their trajectory to plan a safe motion path.
Ju Wang 0001 +5 more
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3D Human Pose Estimation with 2D Human Pose and Depthmap
2020Three-dimensional human pose estimation models are conventionally based on RGB images or by assuming that accurately-estimated (near to ground truth) 2D human pose landmarks are available. Naturally, such data only contains information about two dimensions, while the 3D poses require the three dimensions of height, width, and depth.
Zhiheng Zhou +4 more
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