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Acceleration of Moving Object Detection in Bio-Inspired Computer Vision

  • José L. Sánchez
  • Raúl Viana
  • María T. López
  • Antonio Fernández-CaballeroEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10338)

Abstract

Computer vision is a great interest field offering relevant information in a wide variety of areas. Different video processing techniques, for instance, allow us to detect moving objects from image sequences of fixed surveillance cameras. Lateral Interaction in Accumulative Computation is a classical bio-inspired method that is usually applied for detecting moving objects in video processing. This method achieves high precision but also requires a high processing time. This paper introduces a parallel code capable of keeping a high performance in terms of accuracy and runtime for the method. For some of the image sequences tested, a speed-up of \(67\times \) over the sequential counterpart is achieved.

Keywords

Motion detection Acceleration Graphics Processing Unit Lateral Interaction in Accumulative Computation 

Notes

Acknowledgements

This work was partially supported by Spanish Ministerio de Economía, Industria y Competitividad, Agencia Estatal de Investigación (AEI)/European Regional Development Fund under DPI2016-80894-R grant.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • José L. Sánchez
    • 1
    • 2
  • Raúl Viana
    • 1
  • María T. López
    • 1
    • 2
  • Antonio Fernández-Caballero
    • 1
    • 2
    Email author
  1. 1.Instituto de Investigación en Informática de AlbaceteUniversidad de Castilla-La ManchaAlbaceteSpain
  2. 2.Departamento de Sistemas InformáticosUniversidad de Castilla-La ManchaAlbaceteSpain

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