Who is who at different cameras: people re-identification using depth cameras
Antonio Albiol, Alberto Albiol, Javier Oliver, J.M. Mossi · IET Computer Vision · 2012
This study proposes the concept of bodyprints to perform re-identification of people in surveillance videos. Bodyprints are obtained using calibrated depth-colour cameras such as kinect. The author's results on a database of 40 people show that bodyprints are very robust to changes of pose, point of view and illumination. Potential applications include tracking people with networks of non-overlapping cameras.