Egocentric vision

[6] The interest of the computer vision community into the egocentric paradigm has been arising slowly entering the 2010s and it is rapidly growing in recent years,[7] boosted by both the impressive advances in the field of wearable technology and by the increasing number of potential applications.

Emerging research topics include: Today's wearable cameras are small and lightweight digital recording devices that can acquire images and videos automatically, without the user intervention, with different resolutions and frame rates, and from a first-person point of view.

In both cases, since the camera is worn in a naturalistic setting, visual data present a huge variability in terms of illumination conditions and object appearance.

A collection of studies published in a special theme issue of the American Journal of Preventive Medicine[6] has demonstrated the potential of lifelogs captured through wearable cameras from a number of viewpoints.

In particular, it has been shown that used as a tool for understanding and tracking lifestyle behaviour, lifelogs would enable the prevention of noncommunicable diseases associated to unhealthy trends and risky profiles (such as obesity, depression, etc.).