Towards a 3D Pipeline for Monitoring and Tracking People in an Indoor Scenario using Multiple RGBD Sensors

Konstantinos Amplianitis, Michele Adduci, Ralf Reulke

2015

Abstract

Human monitoring and tracking has been a prominent research area for many scientists around the globe. Several algorithms have been introduced and improved over the years, eliminating false positives and enhancing monitoring quality. While the majority of approaches are restricted to the 2D and 2.5D domain, 3D still remains an unexplored field. Microsoft Kinect is a low cost commodity sensor extensively used by the industry and research community for several indoor applications. Within this framework, an accurate and fast-to-implement pipeline is introduced working in two main directions: pure 3D foreground extraction of moving people in the scene and interpretation of the human movement using an ellipsoid as a mathematical reference model. The proposed work is part of an industrial transportation research project whose aim is to monitor the behavior of people and make a distinction between normal and abnormal behaviors in public train wagons. Ground truth was generated by the OpenNI human skeleton tracker and used for evaluating the performance of the proposed method.

Paper Citation

in Harvard Style

Amplianitis K., Adduci M. and Reulke R. (2015). Towards a 3D Pipeline for Monitoring and Tracking People in an Indoor Scenario using Multiple RGBD Sensors . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 192-200. DOI: 10.5220/0005356601920200

in Bibtex Style

@conference{visapp15,
author={Konstantinos Amplianitis and Michele Adduci and Ralf Reulke},
title={Towards a 3D Pipeline for Monitoring and Tracking People in an Indoor Scenario using Multiple RGBD Sensors},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={192-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005356601920200},
isbn={978-989-758-091-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Towards a 3D Pipeline for Monitoring and Tracking People in an Indoor Scenario using Multiple RGBD Sensors
SN - 978-989-758-091-8
AU - Amplianitis K.
AU - Adduci M.
AU - Reulke R.
PY - 2015
SP - 192
EP - 200
DO - 10.5220/0005356601920200