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End of preview. Expand
in Data Studio
OpenThermalAction - Sample Data (Office Environment)
This repository provides example thermal image sequences for action recognition captured in an office environment:
- Single-person sports activities (Session 1): One subject performing various sports actions
- Multi-person daily interactions (Session 2): One pair of subjects performing interactive activities
All data was recorded using thermal cameras in an indoor office setting.
Structure
ota-office/
├── test/
│ ├── test_s1/ # Session 1: Single-person sports
│ │ └── sub_1/
│ │ └── thermal/
│ │ ├── 1_1/ # Action sequences as image folders
│ │ ├── 1_2/
│ │ └── ...
│ └── test_s2/ # Session 2: Multi-person interactions
│ └── exp_1/
│ └── thermal/
│ ├── 1/ # Action sequences as image folders
│ ├── 2/
│ └── ...
└── annotations_test.txt
Each folder contains sequential thermal images representing one action clip.
Note: Action clips with suffixes like 1_1 and 1_2 represent different camera views of the same video.
Annotation Format
Each line in annotations_test.txt contains:
path_to_video label
Example:
test_s1/sub_1/thermal/1_1 0
test_s1/sub_1/thermal/2_1 1
test_s2/exp_1/thermal/1 15
Label Mapping
- Session 1 videos: Label = action_number - 1 (classes 0-14)
- Session 2 videos: Label = action_number + 14 (classes 15-27)
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