Egocentric vision

Egocentric vision or first-person vision is a sub-field of computer vision that entails analyzing images and videos captured by a wearable camera, which is typically worn on the head or on the chest and naturally approximates the visual field of the camera wearer. Consequently, visual data capture the part of the scene on which the user focuses to carry out the task at hand and offer a valuable perspective to understand the user's activities and their context in a naturalistic setting.[1]

The wearable camera looking forwards is often supplemented with a camera looking inward at the user's eye and able to measure a user's eye gaze, which is useful to reveal attention and to better understand the user's activity and intentions.

  1. ^ An Introduction to the 3rd Workshop on Egocentric (First-person) Vision, Steve Mann, Kris M. Kitani, Yong Jae Lee, M. S. Ryoo, and Alireza Fathi, IEEE Conference on Computer Vision and Pattern Recognition Workshops 2160-7508/14, 2014, IEEE doi:10.1109/CVPRW.2014.1338272014