Niederberger, ThomasHegner, RobertHartmann, AndreasSchuster, Guido M.B. Solenthaler and E. Puppo2015-04-152015-04-152015https://doi.org/10.2312/egp.20151034We present a novel system for recognizing human individuals walking past a depth camera that is compatible with privacy protecting laws. The system is developed to support the statistical analysis of movement patterns in indoor spaces. The system is able to re-recognize previously seen individuals but is also capable of recognizing that an individual has not been seen before. The system is designed in a privacy protecting way and does not rely on previously collected training data but rather collects data during run-time. The proposed system processes each image of an individual separately, but we also present a new approach that is based on combining several decisions into a single meta-decision in order to enhance classification performance.I.4.9 [Image Processing and Computer Vision]Applications10.2312/egp.201510347-8