Computer Vision for Egocentric (First Person) Vision
Abstract Egocentric (first person) vision is a relatively new research topic in the field of computer vision that is increasingly attracting the interest of the community. It entails analyzing images and videos captured by a wearable camera, which is typically mounted on the chest or head, and provides a first person view of the world. This human centric perspective is naturally suited to gathering visual information about everyday observations and interactions, which in turn can reveal the attention, behavior, and goals of its wearer. By taking advantage of the first person point of view paradigm, the visual understanding of egocentric images and videos is rapidly advancing. This chapter focuses on those aspects of egocentric vision that can be directly exploited to develop platforms for ubiquitous context aware personal assistance and health monitoring, also highlighting potential applications and further research opportunities in the context of assistive technologies.