research-article

An industrial video surveillance system for quality assurance of a manufactory assembly

Authors:

Emmanouel Sardis,

Athanasios Voulodimos,

Vasilios Anagnostopoulos,

Constantinos Lalos,

Anastasios Doulamis,

Dimitrios KosmopoulosAuthors Info & Claims

PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 66, Pages 1 - 2

https://doi.org/10.1145/1839294.1839373

Published: 23 June 2010 Publication History

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Abstract

In this paper, we present the research achievements of a computer vision system that surveys the behavior of workers in an industrial environment. The proposed system applies weakly supervised learning algorithms able to detect objects, then to extract the behaviors of workers with respect to the predefined assembly construction for a task and adopts adaptation mechanisms able to dynamically modified the performance of a system with respect to the environmental changes. The proposed architecture has been tested on real-life applications.

Reference

[1]

Doulamis A. Doulamis N. 2003. Performance evaluation of Euclidean/correlation-based relevance feedback algorithms in content-based image retrieval systems. Proceedings of the 2003 International Conference on Image Processing (ICIP 2003), Spain, Sept 14--18, 2003 - Volume 1, pp. 737--74.

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Mourabit IRhabi MHakim ALaghrib AMoreau E(2019)A new denoising model for multi-frame super-resolution image reconstructionSignal Processing10.1016/j.sigpro.2016.09.014132:C(51-65)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1016/j.sigpro.2016.09.014
Papadakis NLitke ADoulamis AProtopapadakis EDoulamis N(2019)Multimedia Analysis on User-Generated Content for Safety-Oriented ApplicationsSocial Media Strategy in Policing10.1007/978-3-030-22002-0_9(161-175)Online publication date: 12-Oct-2019
https://doi.org/10.1007/978-3-030-22002-0_9
Souza RCarmo LPirmez L(2018)Rapid video assessment for monitoring testing facility fraudInternational Journal of Quality & Reliability Management10.1108/IJQRM-01-2017-002235:8(1508-1518)Online publication date: 3-Sep-2018
https://doi.org/10.1108/IJQRM-01-2017-0022
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An industrial video surveillance system for quality assurance of a manufactory assembly
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding

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Published In

PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

June 2010

452 pages

ISBN:9781450300711

DOI:10.1145/1839294

Editors:
Fillia Makedon
University of Texas at Arlington
,
Ilias Maglogiannis
University of Central Greece, Greece
,
Sarantos Kapidakis
Ionian University, Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 23 June 2010

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PETRA '10

PETRA '10: The 3rd International Conference on PErvasive Technologies Related to Assistive Environments

June 23 - 25, 2010

Samos, Greece

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Mourabit IRhabi MHakim ALaghrib AMoreau E(2019)A new denoising model for multi-frame super-resolution image reconstructionSignal Processing10.1016/j.sigpro.2016.09.014132:C(51-65)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1016/j.sigpro.2016.09.014
Papadakis NLitke ADoulamis AProtopapadakis EDoulamis N(2019)Multimedia Analysis on User-Generated Content for Safety-Oriented ApplicationsSocial Media Strategy in Policing10.1007/978-3-030-22002-0_9(161-175)Online publication date: 12-Oct-2019
https://doi.org/10.1007/978-3-030-22002-0_9
Souza RCarmo LPirmez L(2018)Rapid video assessment for monitoring testing facility fraudInternational Journal of Quality & Reliability Management10.1108/IJQRM-01-2017-002235:8(1508-1518)Online publication date: 3-Sep-2018
https://doi.org/10.1108/IJQRM-01-2017-0022
Korn OSchmidt AHörz TMakedon F(2012)Assistive systems in production environmentsProceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2413097.2413109(1-5)Online publication date: 6-Jun-2012
https://dl.acm.org/doi/10.1145/2413097.2413109

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A fault-tolerant ONVIF protocol extension for seamless surveillance video stream recording

An Industrial Visual Surveillance Framework Based on a Pre-Configured Behavior Repertoire: A Practical Approach

Surveillance system using abandoned object detection

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