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Computer Vision in Control Systems-2

Innovations in Practice

  • Book
  • © 2015

Overview

Editors:
  1. Margarita N. Favorskaya

    1. Department of Informatics and Computer Techniques, Siberian State Aerospace University, 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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Focuses on computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
  • Presents applications and practical innovations of applied computer vision and vision-based control systems
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 75)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Practical Matters in Computer Vision

    • Lakhmi C. Jain, Margarita N. Favorskaya
    Pages 1-10

  3. Human Action Recognition: Contour-Based and Silhouette-Based Approaches

    • Salim Al-Ali, Mariofanna Milanova, Hussain Al-Rizzo, Victoria Lynn Fox
    Pages 11-47

  4. The Application of Machine Learning Techniques to Real Time Audience Analysis System

    • Vladimir Khryashchev, Lev Shmaglit, Andrey Shemyakov
    Pages 49-69

  5. Panorama Construction from Multi-view Cameras in Outdoor Scenes

    • Lakhmi C. Jain, Margarita N. Favorskaya, Dmitry Novikov
    Pages 71-108

  6. A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control

    • Konstantin I. Kiy
    Pages 109-133

  7. Perception of Audio Visual Information for Mobile Robot Motion Control Systems

    • Snejana Pleshkova, Alexander Bekiarski, Shima Sehati Dehkharghani, Kalina Peeva
    Pages 135-167

  8. Adaptive Surveillance Algorithms Based on the Situation Analysis

    • Nikolay Kim, Nikolay Bodunkov
    Pages 169-200

  9. Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation

    • Oleg Vygolov, Sergey Zheltov
    Pages 201-230

  10. Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing

    • Igor Burdinsky, Anton Myagotin
    Pages 231-250

  11. Efficient Denoising Algorithms for Intelligent Recognition Systems

    • Andrey Priorov, Kirill Tumanov, Vladimir Volokhov
    Pages 251-276

  12. Image Segmentation Based on Two-Dimensional Markov Chains

    • Elena Medvedeva, Ekaterina Kurbatova
    Pages 277-295
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Keywords

About this book

The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include:

ยทย ย ย ย ย ย ย ย  ย Human Action Recognition: Contour-Based and Silhouette-based Approaches.

ยทย ย ย ย ย ย ย ย  The Application of Machine Learning Techniques to Real Time Audience Analysis System.

ยทย ย ย ย ย ย ย ย  Panorama Construction from Multi-view Cameras in Outdoor Scenes.

ยทย ย ย ย ย ย ย ย  A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control.

ยทย ย ย ย ย ย ย ย  Perception of Audio Visual Information for Mobile Robot Motion Control Systems.

ยทย ย ย ย ย ย ย ย  Adaptive Surveillance Algorithms Based on the Situation Analysis.

ยทย ย ย ย ย ย ย ย  Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation.

ยทย ย ย ย ย ย ย ย  Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual DataProcessing.

ยทย ย ย ย ย ย ย ย  Efficient Denoising Algorithms for Intelligent Recognition Systems.

ยทย ย ย ย ย ย ย ย  Image Segmentation Based on Two-dimensional Markov Chains.

The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Editors and Affiliations

  • Department of Informatics and Computer Techniques, Siberian State Aerospace University, 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-2

  • Book Subtitle: Innovations in Practice

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

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-11430-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-11429-3Published: 11 November 2014

  • Softcover ISBN: 978-3-319-36527-5Published: 23 August 2016

  • eBook ISBN: 978-3-319-11430-9Published: 30 October 2014

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XVI, 295

  • Number of Illustrations: 67 b/w illustrations, 72 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Control and Systems Theory

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