  Recent technological advances have made lightweight, head mounted cameras
both practical and affordable and products like Google Glass show first
approaches to introduce the idea of egocentric (first-person) video to the
mainstream. Interestingly, the computer vision community has only recently
started to explore this new domain of egocentric vision, where research can
roughly be categorized into three areas: Object recognition, activity
detection/recognition, video summarization. In this paper, we try to give a
broad overview about the different problems that have been addressed and
collect and compare evaluation results. Moreover, along with the emergence of
this new domain came the introduction of numerous new and versatile benchmark
datasets, which we summarize and compare as well.
