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   Articles with "person pose" as a keyword



EfficientPose: Scalable single-person pose estimation

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recommendations! Published in 2021 at "Applied Intelligence"

DOI: 10.1007/s10489-020-01918-7

Abstract: Single-person human pose estimation facilitates markerless movement analysis in sports, as well as in clinical applications. Still, state-of-the-art models for human pose estimation generally do not meet the requirements of real-life applications. The proliferation of… read more here.

Keywords: person; person pose; scalable single; pose estimation ... See more keywords

Multi-Person Pose Estimation Using Thermal Images

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3025413

Abstract: Human pose estimation is an important task for several applications, such as video surveillance systems. However, color (i.e., RGB) images may not always be available under certain conditions, such as privacy issues and lack of… read more here.

Keywords: estimation using; person pose; pose estimation; multi person ... See more keywords

Multi-Person Pose Estimation With Accurate Heatmap Regression and Greedy Association

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3153044

Abstract: Multi-person pose estimation aims at localizing the 2D keypoints (or body joints) for all the people in the image. There are mainly two paradigms to perform this task: top-down and bottom-up. In this paper, we… read more here.

Keywords: heatmap regression; multi person; keypoint; heatmap ... See more keywords

Hybrid Representation Learning for End-to-End Multi-Person Pose Estimation

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3536381

Abstract: Recent multi-person pose estimation methods design end-to-end pipelines under the DETR framework. However, these methods involve complex keypoint decoding processes because the DETR framework cannot be directly used for pose estimation, which results in constrained… read more here.

Keywords: multi person; instance; end end; pose estimation ... See more keywords

PolarPose: Single-Stage Multi-Person Pose Estimation in Polar Coordinates

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recommendations! Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3239192

Abstract: Regression based multi-person pose estimation receives increasing attention because of its promising potential in achieving realtime inference. However, the challenges in long-range 2D offset regression have restricted the regression accuracy, leading to a considerable performance… read more here.

Keywords: pose estimation; regression; multi person; estimation polar ... See more keywords

Rethinking the Person Localization for Single-Stage Multi-Person Pose Estimation

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recommendations! Published in 2024 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2023.3282139

Abstract: Single-stage models for multi-person pose estimation have garnered significant attention due to their streamlined approach in generating person position localization and body structure perception in a single pass. These two parts, however, are processed individually… read more here.

Keywords: multi person; person; structure; pose estimation ... See more keywords

Overcoming Data Deficiency for Multi-Person Pose Estimation.

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recommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3244957

Abstract: Building multi-person pose estimation (MPPE) models that can handle complex foreground and uncommon scenes is an important challenge in computer vision. Aside from designing novel models, strengthening training data is a promising direction but remains… read more here.

Keywords: pose estimation; person pose; multi person; overcoming data ... See more keywords

Non-line-of-sight multi-person pose sensing.

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recommendations! Published in 2025 at "Optics express"

DOI: 10.1364/oe.570120

Abstract: In the fields of anti-terrorism and emergency rescue, human pose sensing under non-line-of-sight (NLOS) conditions plays a critical role in enabling informed decision-making and effective response. Current research predominantly focuses on line-of-sight (LOS) scenarios but… read more here.

Keywords: multi person; person; pose sensing; line sight ... See more keywords