UT Egocentric (UT Ego) Dataset

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UT Egocentric (UT Ego) Dataset

The Univ. of Texas at Austin Egocentric (UT Ego) Dataset contains 4 videos captured from head-mounted cameras. Each video is about 3-5 hours long, captured in a natural, uncontrolled setting.We used the Looxcie wearable camera, which captures video at 15 fps at 320 x 480 resolution. Four subjects wore the camera for us: one undergraduate student, two graduate students, and one office worker. The videos capture a variety of activities such as eating, shopping, attending a lecture, driving, and cooking.* Due to privacy reasons, we are able to share only 4 of the 10 videos originally captured (one from each subject). They correspond to the test videos that we evaluate on in both the CVPR 2012 and CVPR 2013 papers.References:Y. J. Lee, J. Ghosh, and K. Grauman. Discovering Important People and Objects for Egocentric Video Summarization. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.Z. Lu and K. Grauman. Story-Driven Summarization for Egocentric Video. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.

Dataset Attributes

Label SVG
CategoriesFirst-Person, Vision, Egocentric