Indoor head detection and tracking on RGBD images

Abstract

A real-time human head detection and tracking method for a fall detection system is presented.It utilizes RGBD images to obtain a head position in the three-dimensional space.The proposed method is designed to be insensitive to a body orientation and requires no initial calibration for the tracked person.The evaluation was performed on the basis of annotated videos with realistic non-studio indoor everyday activities and falls.The proposed method outperforms head tracking from the Microsoft Kinect SDK skeleton tracking.