Multi-Person Pose Estimation Using Thermal Images
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 illumination. In these scenarios, thermal images are more prominent than...
Main Authors: | I-Chien Chen, Chang-Jen Wang, Chao-Kai Wen, Shiow-Jyu Tzou |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9201356/ |
Similar Items
-
Human Pose Estimation Using Thermal Images
by: Javier Smith, et al.
Published: (2023-01-01) -
Synthetic Image Translation for Football Players Pose Estimation
by: Michał Sypetkowski, et al.
Published: (2019-06-01) -
Iterative Pose Refinement for Object Pose Estimation Based on RGBD Data
by: Shao-Kang Huang, et al.
Published: (2020-07-01) -
YOLO-Rlepose: Improved YOLO Based on Swin Transformer and Rle-Oks Loss for Multi-Person Pose Estimation
by: Yi Jiang, et al.
Published: (2024-01-01) -
Probabilistic Pose Estimation From Multiple Hypotheses
by: Omar Del-Tejo-Catala, et al.
Published: (2023-01-01)