An Overview of First Person Vision and Egocentric Video Analysis for Personal Mobile Wearable Devices

The emergence of new wearable technologies such as action cameras and smart glasses has increased the interest of the computer vision scientists in the First Person perspective. Nowadays, this field is attracting attention and investments of companies aiming to develop commercial devices with First Person Vision recording capabilities. Due to this interest, it is expected to have an increasing demand of methods to exploit these videos. The current methods to process these videos present particular combinations of different image features and quantitative methods to accomplish specific objectives like object detection, activity recognition, user machine interaction and so on. This paper summarizes the evolution of the state of the art in First Person Vision video analysis between 1997 and 2013, highlighting the most commonly used features, methods, challenges and opportunities of the field.