This repository contains the relevant codes for Toyota Smarthome Untrimmed (TSU) datasets.
The dataset description and original video can be request in this project page.
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Pipline: The action detection baseline code for the TSU dataset (Feature Extraction + Temporal modelling).
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Other version: The joint-view and balanced version of the TSU dataset.
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Tools
- Pose Visualization: the visualization of the provided pose data
If you find our repo or paper useful, please cite us as
@article{dai2022toyota,
title={Toyota smarthome untrimmed: Real-world untrimmed videos for activity detection},
author={Dai, Rui and Das, Srijan and Sharma, Saurav and Minciullo, Luca and Garattoni, Lorenzo and Bremond, Francois and Francesca, Gianpiero},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2022},
publisher={IEEE}
}