Towards Automated Detection and State Tracking of Artificial Light Sources From Sequential Pictures Inside Buildings


In this paper the problem of automatically determining the number, location and operational schedule of artificial light sources present in a sequence of photographs taken from a static location inside a building at regular intervals is discussed. In particular, the focus is on the necessary computational support for users reviewing such datasets. The most reliable way to measure an individual light fixture is to place a light meter much closer to the lamp than to any other light source (other lights, windows, etc.) This process is complicated for buildings with hard-to-access light fixtures such as high-ceilinged warehouses, manufacturing facilities, hangars, outdoor parking lots, etc. Existing solutions to similar problems in other domains are reviewed and a prototype system based on simple image processing techniques is evaluated to illustrate the challenges that are specific to this problem and illustrate the needed future work.