Indoor human tracking application using multiple depth-cameras

Abstract

This research developed an application that could tracks and locates human's presence and position in indoor environment using multiple depth-cameras. Kinect as the most affordable device that equipped with depth-camera was used in this work. The application obtains stream data from Kinect and analyzes presence of human using skeletal tracking library on Kinect for Windows SDK v1. The final application also visualizes human location on 3D environment using Windows Presentation Foundation (WPF) 4.0. In order to visualize 3D object correctly, the application also took into account the coverage that may intersect when two Kinects were placed in adjacent position so that the final human location is combined. In the end, application was tested in 3 different scenarios and it's found that the average error in determining human location was 0.13589 meters.