Record link: 
http://hdl.handle.net/20.500.12708/201808
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Title: 
A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Action Recognition
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Citation: 
Stippel, C., Heitzinger, T., & Kampel, M. (2024). A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Action Recognition. In Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19--22, 2023, Proceedings (pp. 18–33). https://doi.org/10.1007/978-3-031-54605-1_2
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Publisher DOI: 
10.1007/978-3-031-54605-1_2
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Stippel, Christian 
Heitzinger, Thomas 
Kampel, Martin 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
Pattern Recognition: 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19--22, 2023, Proceedings 
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Date (published): 
8-Mar-2024
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Event name: 
DAGM German Conference on Pattern Recognition 2023 
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Event date: 
19-Sep-2023 - 22-Sep-2023
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Event place: 
Heidelberg, Germany
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Number of Pages: 
16
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Peer reviewed: 
Yes
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Keywords: 
Segmentation; Temporal Action Segmentation/Detection; Video Understanding; Scene Understanding
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Project title: 
Künstliche Intelligenz im Strafvollzug: FO999886329 (FFG - Österr. Forschungsförderungs- gesellschaft mbH) 
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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