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Video pose estimation with global motion cues

Published:2017-01 Issue: Volume:219 Page:269-279
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Shi Qingxuan,Di Huijun,Lu Yao,Lv Feng,Tian Xuedong

Funder

National Natural Science Foundation of China

Research Fund for the Doctoral Program of Higher Education of China

Specialized Fund for Joint Building Program of Beijing Municipal Education Commission

Natural Science Foundation of Hebei Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference43 articles.

1. A. Yao, J. Gall, G. Fanelli, L.J. Van Gool, Does human action recognition benefit from pose estimation? in: British Machine Vision Conference (BMVC), vol. 3, 2011, p. 6.

2. Robust human body segmentation based on part appearance and spatial constraint;Huang;Neurocomputing,2013

3. Human behavior analysis in video surveillance;Cristani;Neurocomputing,2013

4. L. Wang, Y. Qiao, X. Tang, Video action detection with relational dynamic-poselets, in: European Conference on Computer Vision (ECCV), Springer, Zurich, Switzerland, 2014, pp. 565–580.

5. Attribute-based knowledge transfer learning for human pose estimation;Li;Neurocomputing,2013

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1. Gated Region-Refine pose transformer for human pose estimation;Neurocomputing;2023-04

2. MSRT: multi-scale representation transformer for regression-based human pose estimation;Pattern Analysis and Applications;2023-02-01

3. Human Pose Estimation via Dynamic Information Transfer;Electronics;2023-01-30

4. Intersection over Union Similarity Based Non-Maximum Suppression for Human Pose Estimation in Crowded Scenes;IEEE Transactions on Cognitive and Developmental Systems;2023

5. Estimating 3D body mesh without SMPL annotations via alternating successive convex approximation;Computer Vision and Image Understanding;2022-11

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