Authors: Carsten Stahlschmidt Alexandros Gavriilidis Jörg Velten Anton Kummert
Publish Date: 2014/09/16
Volume: 75, Issue: 17, Pages: 10769-10786
Abstract
This paper outlines a method and applications for detection and tracking of people in depth images acquired with a lowresolution TimeofFlight ToF camera This depth sensor is placed perpendicular to the ground in order to provide distance information from a topview position Usage of intrinsic and extrinsic camera parameters allows estimation of a ground plane and comparison to the measured distances of the ToF sensor in every pixel Differences to the expected ground plane define foreground information that is subsequently combined to associated regions These regions of interest ROI are analyzed to distinguish persons from other objects by using a matched filter that is applied the height segmented depth information of each of these regions The proposed method separates crowds into individuals and facilitates a multiobject tracking system based on Kalman filtering Furthermore we present several applications for the proposed method Experiments with different crowding situations from very low to very high density and different heights of camera placements have proven the applicability and practicability of the system
Keywords: