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Authors: Mostafa Pordel ; Thomas Hellström and Ahmad Ostovar

Affiliation: Umeå University, Sweden

Keyword(s): Image Processing, Depth Integration.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Vision, Recognition and Reconstruction

Abstract: In this paper we study the integration of a depth sensor and an RGB camera for a stochastic classification system for forestry robots. The images are classified as bush, tree, stone and human and are expected to come from a robot working in forest environment. A set of features is extracted from labeled images to train a number of stochastic classifiers. The outputs of the classifiers are then combined in a meta-classifier to produce the final result. The results show that using depth information in addition to the RGB results in higher classification performance.

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Paper citation in several formats:
Pordel, M.; Hellström, T. and Ostovar, A. (2012). Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-8565-22-8; ISSN 2184-2809, SciTePress, pages 314-320. DOI: 10.5220/0004045203140320

@conference{icinco12,
author={Mostafa Pordel. and Thomas Hellström. and Ahmad Ostovar.},
title={Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2012},
pages={314-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004045203140320},
isbn={978-989-8565-22-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Integrating Kinect Depth Data with a Stochastic Object Classification Framework for Forestry Robots
SN - 978-989-8565-22-8
IS - 2184-2809
AU - Pordel, M.
AU - Hellström, T.
AU - Ostovar, A.
PY - 2012
SP - 314
EP - 320
DO - 10.5220/0004045203140320
PB - SciTePress