An AI Powered Re-Identification System for Real-time Contextual Multimedia Applications

Abstract

In this demo we present a person re-identification system, based on cameras installed in an environment and featuring AI, that can be used in the design and development of human-centered multimedia applications intended to provide improved situational awareness and context-sensitive user-interfaces. Possible applications are related but not limited to user profiling and personalisation systems, multimedia recommendation, social context understanding and gamification, security, with objectives spanning from environment monitoring, cultural heritage fruition enhancement, retail trade promotion and assistive technologies provision in industry. In the context of the demonstration we are going to set up a system with several workstations equipped with cameras and contextual to paintings reproductions that simulate a museum exhibition in which users are tracked and re-identified at different locations. The data collected is used to enrich the user experience through a reactive voice interface that considers the user's visit, the artworks that most attracted the visitor's attention and the social context.