Tracking persons using a network of RGBD cameras

Abstract

A computer vision system that employs an RGBD camera network to track multiple humans is presented. The acquired views are used to volumetrically and photometrically reconstruct and track the humans robustly and in real time. Given the frequent and accurate monitoring of humans in space and time, their locations and walk-through trajectory can be robustly tracked in real-time.