EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly
Abstract
This paper presents an outdoor video dataset annotated with action labels, collected from 24 participants wearing two head-mounted cameras (GoPro and SMI eye tracker) while assembling a camping tent. In total, this is 5.4 hours of recordings. Tent assembly includes manual interactions with non-rigid objects such as spreading the tent, securing guylines, reading instructions, and opening a tent bag. An interesting aspect of the dataset is that it reflects participants' proficiency in completing or understanding the task. This leads to participant differences in action sequences and action durations. Our dataset, called EPIC-Tent, also has several new types of annotations for two synchronised egocentric videos. These include task errors, self-rated uncertainty and gaze position, in addition to the task action labels. We present baseline results on the EPIC-Tent dataset using a state-of-the-art method for offline and online action recognition and detection.
Cite
Text
Jang et al. "EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly." IEEE/CVF International Conference on Computer Vision Workshops, 2019. doi:10.1109/ICCVW.2019.00547Markdown
[Jang et al. "EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly." IEEE/CVF International Conference on Computer Vision Workshops, 2019.](https://mlanthology.org/iccvw/2019/jang2019iccvw-epictent/) doi:10.1109/ICCVW.2019.00547BibTeX
@inproceedings{jang2019iccvw-epictent,
title = {{EPIC-Tent: An Egocentric Video Dataset for Camping Tent Assembly}},
author = {Jang, Youngkyoon and Sullivan, Brian and Ludwig, Casimir J. H. and Gilchrist, Iain D. and Damen, Dima and Mayol-Cuevas, Walterio W.},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2019},
pages = {4461-4469},
doi = {10.1109/ICCVW.2019.00547},
url = {https://mlanthology.org/iccvw/2019/jang2019iccvw-epictent/}
}