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Authors: Matteo Ragaglia ; Luca Bascetta and Paolo Rocco

Affiliation: Politecnico di Milano, Italy

Keyword(s): Human Detection and Tracking, Robotic Cell Supervision, Computer Vision, Image Warping, Background/Foreground Segmentation, K-d Tree, Particle Filtering.

Related Ontology Subjects/Areas/Topics: Control and Supervision Systems ; Engineering Applications ; Image Processing ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Perception and Awareness ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Vision, Recognition and Reconstruction

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 1: ICINCO; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 374-381. DOI: 10.5220/0005045703740381

@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 1: ICINCO},
year={2014},
pages={374-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005045703740381},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: 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
IS - 2184-2809
AU - Ragaglia, M.
AU - Bascetta, L.
AU - Rocco, P.
PY - 2014
SP - 374
EP - 381
DO - 10.5220/0005045703740381
PB - SciTePress