OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose Baselines Article Swipe
Askat Kuzdeuov
,
Darya Taratynova
,
Alim Tleuliyev
,
Hüseyin Atakan Varol
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.171259927.75861794/v1
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.36227/techrxiv.171259927.75861794/v1
Human pose estimation has a variety of applications in action recognition, human-robot interaction, motion capture, augmented reality, sports analytics, and healthcare. There is a substantial stream of datasets and deep learning-based models to attain robust human pose estimation within the visible domain. Nonetheless, there are certain obstacles in this domain, including insufficient illumination and privacy concerns. These issues can be addressed using thermal cameras. However, only a limited number of annotated thermal human pose datasets are available to train data-hungry deep learning models. In this regard, we introduce a novel open-source thermal human pose dataset named OpenThermalPose. The dataset contains 6,090 thermal images and 14,315 annotated human instances. The annotations include bounding boxes and 17 anatomical keypoints, following the annotation format of the MS COCO dataset. The dataset covers various fitness exercises, multiple-person activities, and outdoor walking in different locations and weather conditions. As a baseline, we trained and evaluated YOLOv8-pose models on our dataset. We have made the dataset, source code, and pre-trained models publicly available at https://github.com/IS2AI/OpenThermalPose to bolster research in this area.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.36227/techrxiv.171259927.75861794/v1
- https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171259927.75861794/v1
- OA Status
- gold
- Cited By
- 2
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394565936
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4394565936Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.36227/techrxiv.171259927.75861794/v1Digital Object Identifier
- Title
-
OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose BaselinesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-08Full publication date if available
- Authors
-
Askat Kuzdeuov, Darya Taratynova, Alim Tleuliyev, Hüseyin Atakan VarolList of authors in order
- Landing page
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https://doi.org/10.36227/techrxiv.171259927.75861794/v1Publisher landing page
- PDF URL
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https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171259927.75861794/v1Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.171259927.75861794/v1Direct OA link when available
- Concepts
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Pose, Open source, Artificial intelligence, Computer science, Computer vision, Software, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
-
25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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