“Don’t turn off the lights”: modelling of human light interaction in indoor environments

Human activity recognition and forecasting can be used as a primary cue for scene understanding. Acquiring details from the scene has vast applications in different fields such as computer vision, robotics and more recently smart lighting. This work brings together advanced research in computer vision and the most modern technology in lighting. The goal of this work is to eliminate the need for any switches for lighting, which means that each person in the office perceives the entire office as all lit, while lights, which are not visible by the person, are switched off by the system. This can be achieved by combining lighting with presence detection and smart light control.