Improving 3D Markerless Pose Estimation of Animals in the Wild using Low-Cost Cameras-Reference-Cited by-同舟云学术

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Improving 3D Markerless Pose Estimation of Animals in the Wild using Low-Cost Cameras

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Muramatsu Naoya¹,da Silva Zico¹,Joska Daniel¹,Nicolls Fred¹,Patel Amir¹

Affiliation:

1. African Robotics Unit (ARU), University of Cape Town,South Africa

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981746.pdf?arnumber=9981746

Reference43 articles.

1. Automated markerless pose estimation in freely moving macaques with OpenMonkeyStudio

2. Exploring Severe Occlusion: Multi-Person 3D Pose Estimation with Gated Convolution

3. DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila

4. Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Markerless 3D kinematics and force estimation in cheetahs;Scientific Reports;2024-05-08

2. WildPose: A Long-Range 3D Wildlife Motion Capture System;2024-02-06

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