Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Human Pose Estimation"”.
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Improving 3D human pose estimation in-the-wild
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Stacked dense-hourglass networks for human pose estimation
… tasks, including the problem of 2D single-person pose estimation. For this task, the Stacked Hourglass Networks (Stack-HgNets) is one of the state-of-the-art architecture that uses residual modules extensively as the basic building block. The residual modules are well recognized for creating …
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On the 3D point cloud for human-pose estimation
… at investigating methodologies for estimating a human pose from a 3D point cloud that is captured by a static depth sensor. Human-pose estimation (HPE) is important for a range of applications, such as human-robot interaction, healthcare, surveillance, and so forth. Yet, HPE is challenging …
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Human Pose Estimation and Algorithms for Alignment and Registration Problems: Applications in Robotics, Computer Vision, and Stroke Rehabilitation
Estimating human motion and inter-frame orientation reliably, efficiently, and with minimal instrumentation is central to robotics, computer vision, and rehabilitation. This dissertation develops a set of learning- and geometry-driven methods spanning (i) sparse-IMU upper-body 3D pose estimation …
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Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads
The extraction and analysis of human gait characteristics using image sequences are an important area of research. Recently, the focus of this research area has turned to computer vision as an unobtrusive way to analyze human motions. The applications for such a system are wide ranging in many …
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Towards Multi-Person 3D Pose Estimation in Natural Videos
Despite the increasing need of analyzing human poses on the street and in the wild, multi-person 3D pose estimation using static or moving monocular camera in real-world scenarios remains a challenge, requiring large-scale training data or high computation complexity due to the high degrees of …
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Human-Robot Interaction with Pose Estimation and Dual-Arm Manipulation Using Artificial Intelligence
… applying artificial intelligence techniques to human-robot interaction, which involves human pose estimation and dual-arm robotic manipulation. The motivating application behind this work is autonomous victim extraction in disaster scenarios using a conceptual design of a Semi-Autonomous Victim …
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Deep Learning-Enabled Multitask System for Exercise Recognition and Counting
… activities provide unimaginable benefits to human well-being from the inside out. 2D human pose estimation, action recognition and repetitive counting fields developed rapidly in the past several years. However, few works combined them together as a whole system to assist people in evaluating …
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A Low-Cost Computer Vision Approach for Objectively Evaluating Triple Jump Technique: Proof of Concept
… a single iPhone 12 camera and the open-source human pose estimation software, Google MediaPipe pose (GMP pose). Data were collected from 30 participants (15 male, 15 female) performing six triple jumps each across four different track and field facilities, resulting in 154 usable videos for …
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Vehicle-pedestrian interaction using naturalistic driving video through tractography of relative positions and pedestrian pose estimation
… relative dynamic trajectories and pose of pedestrians. Adaptive structural local appearance model and particle filter methods have been implemented and modified to track the pedestrians more accurately. We have developed new algorithm to compute Focus of Expansion (FoE) …
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Vision-based, AI-powered approaches to motor functions characterization and rehabilitation
L'abstract è presente nell'allegato / the abstract is in the attachment
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Robust Video Object Tracking via Camera Self-calibration
… assisted by camera self-calibration is proposed, which includes several algorithmic components. (1) An algorithm for joint camera self-calibration and automatic radial distortion correction based on tracking of walking persons is designed to convert multiple object tracking into 3D space. …