AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Shanghai Jiao Tong University, Shanghai, China
2. Perceiving Systems, Max Planck Institute for Intelligent Systems, Stuttgart, Germany
Funder
National Key R&D Program of China
Shanghai Municipal Science and Technology
Shanghai Qi Zhi Institute
SHEITC
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10120646/09954214.pdf?arnumber=9954214
Reference89 articles.
1. DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model
2. FastPose: Towards real-time pose estimation and tracking via scale-normalized multi-task networks;zhang,2019
3. DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
4. Multi-Person Articulated Tracking With Spatial and Temporal Embeddings
5. 2D Human Pose Estimation: New Benchmark and State of the Art Analysis
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