Controlling Urban Lighting by Human Motion Patterns results from a full Scale Experiment

This paper presents a full-scale experiment investigating the use of
human motion intensities as input for interactive illumination of a
town square in the city of Aalborg in Denmark. As illuminators
sixteen 3.5 meter high RGB LED lamps were used. The activity on
the square was monitored by three thermal cameras and analysed
by computer vision software from which motion intensity maps and
peoples trajectories were estimated and used as input to control the
interactive illumination. The paper introduces a 2-layered interactive
light strategy addressing ambient and effect illumination criteria
totally four light scenarios were designed and tested. The result
shows that in general people immersed in the street lighting did not
notice that the light changed according to their presence or actions,
but people watching from the edge of the square noticed the interaction
between the illumination and the immersed persons. The
experiment also demonstrated that interactive can give significant
power savings. In the current experiment there was a difference of
92% between the most and less energy consuming light scenario.