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Computer Vision in Control Systems-4

Real Life Applications

  • Book
  • © 2018

Overview

Editors:
  1. Margarita N. Favorskaya

    1. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

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    You can also search for this editor in PubMed   Google Scholar

  2. Lakhmi C. Jain

    1. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
  • Presents applications of and practical innovations in applied computer vision and vision-based control systems
  • Consistently focused on real-life applications throughout
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 136)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Innovative Algorithms in Computer Vision

    • Lakhmi C. Jain, Margarita N. Favorskaya
    Pages 1-9

  3. Graphological Analysis and Identification of Handwritten Texts

    • Leonid A. Mironovsky, Alexander V. Nikitin, Nina N. Reshetnikova, Nikolay V. Soloviev
    Pages 11-40

  4. Perceptually Tuned Watermarking Using Non-subsampled Shearlet Transform

    • Margarita N. Favorskaya, Lakhmi C. Jain, Eugenia I. Savchina
    Pages 41-69

  5. Unscented RGB-D SLAM in Indoor Environment

    • Alexander Prozorov, Andrew Priorov, Vladimir Khryashchev
    Pages 71-103

  6. Development of Fast Parallel Algorithms Based on Visual and Audio Information in Motion Control Systems of Mobile Robots

    • Sn. Pleshkova, Al. Bekiarski
    Pages 105-138

  7. Methods and Algorithms of Audio-Video Signal Processing for Analysis of Indoor Human Activity

    • Irina V. Vatamaniuk, Victor Yu Budkov, Irina S. Kipyatkova, Alexey A. Karpov
    Pages 139-173

  8. Improving Audience Analysis System Using Face Image Quality Assessment

    • Vladimir Khryashchev, Alexander Ganin, Ilya Nenakhov, Andrey Priorov
    Pages 175-203

  9. Real Time Eye Blink Detection Method for Android Device Controlling

    • Suzan Anwar, Mariofanna Milanova, Daniah Al-Nadawi
    Pages 205-222

  10. Techniques for Medical Images Processing Using Shearlet Transform and Color Coding

    • Alexander Zotin, Konstantin Simonov, Fedor Kapsargin, Tatyana Cherepanova, Alexey Kruglyakov, Luis Cadena
    Pages 223-259

  11. Image Analysis in Clinical Decision Support System

    • Natalia Obukhova, Alexandr Motyko
    Pages 261-297

  12. A Novel Foot Progression Angle Detection Method

    • Jeffery Young, Milena Simic, Milan Simic
    Pages 299-317
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Keywords

About this book

The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.

The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection.

Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video

processing and computer vision technologies.

Editors and Affiliations

  • Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  • Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Computer Vision in Control Systems-4

  • Book Subtitle: Real Life Applications

  • Editors: Margarita N. Favorskaya, Lakhmi C. Jain

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-67994-5

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-67993-8Published: 09 November 2017

  • Softcover ISBN: 978-3-319-88527-8Published: 01 September 2018

  • eBook ISBN: 978-3-319-67994-5Published: 25 October 2017

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XIV, 317

  • Number of Illustrations: 51 b/w illustrations, 86 illustrations in colour

  • Topics: Computational Intelligence, Control and Systems Theory

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