Real-Time Reservoir Computing Network-Based Systems for Detection Tasks on Visual Contents

Azarakhsh Jalalvand, Glenn Van Wallendael, Rik Van De Walle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

Abstract

Among the various types of artificial neural networks used for event detection in visual contents, those with the ability of processing temporal information, such as recurrent neural networks, have been proved to be more effective. However, training of such networks is often difficult and time consuming. In this work, we show how Reservoir Computing Networks (RCNs) can be used for detecting purposes on raw images. The applicability of RCNs is illustrated using two example challenges, namely isolated digit handwriting recognition on the MNIST dataset as well as detection of the status of a door using self-developed moving pictures from a surveillance camera. Achieving an error rate of 0.92 percent on MNIST, we show that RCN can be a serious competitor to the state-of-the-art. Moreover, we show how RCNs with their simple and yet robust training procedure can be practically used for real surveillance tasks using very low resolution camera sensors.

Original languageEnglish (US)
Title of host publicationProceedings - 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015
EditorsAndrejs Romanovs, Galina Merkuryeva, Yuri Merkuryev, David Al-Dabass
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages146-151
Number of pages6
ISBN (Electronic)9781467370165
DOIs
StatePublished - Oct 28 2015
Externally publishedYes
Event7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015 - Riga, Latvia
Duration: Jun 3 2015Jun 5 2015

Publication series

NameProceedings - 7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015

Conference

Conference7th International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2015
Country/TerritoryLatvia
CityRiga
Period6/3/156/5/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • image processing
  • Reservoir computing networks
  • robust video processing
  • surveillance camera

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