Multiple Camera Human Detection and Tracking Inside a Robotic Cell - An Approach based on Image Warping, Computer Vision, K-d Trees and Particle Filtering

Matteo Ragaglia, Luca Bascetta, Paolo Rocco

2014

Abstract

In an industiral scenario the capability to detect and track human workers entering a robotic cell represents a fundamental requirement to enable safe and efficient human-robot cooperation. This paper proposes a new approach to the problem of Human Detection and Tracking based on low-cost commercial RGB surveillance cameras, image warping techniques, computer vision algorithms, efficient data structures such as kdimensional trees and particle filtering. Results of several validation experiments are presented.

Download


Paper Citation


in Harvard Style

Ragaglia M., Bascetta L. and Rocco P. (2014). Multiple Camera Human Detection and Tracking Inside a Robotic Cell - An Approach based on Image Warping, Computer Vision, K-d Trees and Particle Filtering . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-040-6, pages 374-381. DOI: 10.5220/0005045703740381

in Bibtex Style

@conference{icinco14,
author={Matteo Ragaglia and Luca Bascetta and Paolo Rocco},
title={Multiple Camera Human Detection and Tracking Inside a Robotic Cell - An Approach based on Image Warping, Computer Vision, K-d Trees and Particle Filtering},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={374-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005045703740381},
isbn={978-989-758-040-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Multiple Camera Human Detection and Tracking Inside a Robotic Cell - An Approach based on Image Warping, Computer Vision, K-d Trees and Particle Filtering
SN - 978-989-758-040-6
AU - Ragaglia M.
AU - Bascetta L.
AU - Rocco P.
PY - 2014
SP - 374
EP - 381
DO - 10.5220/0005045703740381