Robust Pallet Detection for Automated Logistics Operations

Robert Varga; Sergiu Nedevschi

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Paper

Robust Pallet Detection for Automated Logistics Operations

Topics: Features Extraction; Machine Learning Technologies for Vision; Object and Face Recognition; Shape Representation and Matching; Vision for Robotics

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 470-477, 2016 , Rome, Italy

Authors: Robert Varga and Sergiu Nedevschi

Affiliation: Technical University of Cluj-Napoca, Romania

Keyword(s): Object Detection, Pallet Detection, Stereo Reconstruction.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Pattern Recognition ; Robotics ; Shape Representation and Matching ; Software Engineering

Abstract: A pallet detection system is presented which is designed for automated forklifts for logistics operations. The system performs stereo reconstruction and pallets are detected using a sliding window approach. In this paper we propose a candidate generation method and we introduce feature descriptors for grayscale images that are tailored to the current task. The features are designed to be invariant to certain types of illumination changes and are called normalized pair differences because of the formula involved in their calculation. Experimental results validate our approach on extensive real world data.

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Paper citation in several formats:

Varga, R. and Nedevschi, S. (2016). Robust Pallet Detection for Automated Logistics Operations. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 470-477. DOI: 10.5220/0005674704700477

@conference{visapp16,
author={Robert Varga. and Sergiu Nedevschi.},
title={Robust Pallet Detection for Automated Logistics Operations},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={470-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005674704700477},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Robust Pallet Detection for Automated Logistics Operations
SN - 978-989-758-175-5
IS - 2184-4321
AU - Varga, R.
AU - Nedevschi, S.
PY - 2016
SP - 470
EP - 477
DO - 10.5220/0005674704700477
PB - SciTePress