Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization-Reference-Cited by-同舟云学术

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Multi-Person Pose Tracking With Sparse Key-Point Flow Estimation and Hierarchical Graph Distance Minimization

Published:2024 Issue: Volume:33 Page:3590-3605
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Jiang Yalong¹^ORCID,Ding Wenrui¹,Li Hongguang¹,Chi Zheru²

Affiliation:

1. Unmanned System Research Institute, Beihang University, Beijing, China

2. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/83/10346232/10545317.pdf?arnumber=10545317

Reference72 articles.

1. PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking

2. Microsoft COCO: Common Objects in Context

3. End-to-End Multi-Person Pose Estimation with Transformers

4. Multi-Person Pose Estimation via Multi-Layer Fractal Network and Joints Kinship Pattern

5. Feature Pyramid Reconfiguration With Consistent Loss for Object Detection

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