Real-time Wearable Computer Vision System for Improved Museum Experience

Abstract

The goal of this work is to implement a real-time computer vision system that can run on wearable devices to perform object classification and artwork recognition, to improve the experience of a museum visit through understanding the interests of users. Object classification helps to understand the context of the visit, e.g. differentiating when a visitor is talking with people, or just wandering through the museum, or if he is looking at an exhibit that interests him. Artwork recognition allows to provide automatically information of the observed item or to create a user profile based on what and how long a user has observed artworks.