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Robust Motion Detection in Real-Life Scenarios

  • Book
  • © 2012

Overview

Authors:
  1. Ester Martínez-Martín

    1. Dept. Computer Science and Engineering, Jaume I University, Castellón de la Plana, Spain

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  2. Ángel P. del Pobil

    1. Dept. ICC, Jaume I University, Castellon, Spain

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    You can also search for this author in PubMed   Google Scholar

  • Proposes a complete sensor-independent visual system that provides robust target motion detection
  • Presents a novel background maintenance approach for robotic systems in an unknown environment
  • Addresses the challenges of changes in illumination, and the distinction between foreground and background elements
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction

    • Ester Martínez-Martín, Ángel P. del Pobil
    Pages 1-3

  3. Motion Detection in Static Backgrounds

    • Ester Martínez-Martín, Ángel P. del Pobil
    Pages 5-42

  4. Motion Detection in General Backgrounds

    • Ester Martínez-Martín, Ángel P. del Pobil
    Pages 43-84

  5. Applications

    • Ester Martínez-Martín, Ángel P. del Pobil
    Pages 85-98

  6. Computer Vision Concepts

    • Ester Martínez-Martín, Ángel P. del Pobil
    Pages 99-108
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Keywords

About this book

This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.

Authors and Affiliations

  • Dept. Computer Science and Engineering, Jaume I University, Castellón de la Plana, Spain

    Ester Martínez-Martín

  • Dept. ICC, Jaume I University, Castellon, Spain

    Ángel P. del Pobil

Bibliographic Information

  • Book Title: Robust Motion Detection in Real-Life Scenarios

  • Authors: Ester Martínez-Martín, Ángel P. del Pobil

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-4216-4

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Ester Martínez-Martín 2012

  • Softcover ISBN: 978-1-4471-4215-7Published: 11 July 2012

  • eBook ISBN: 978-1-4471-4216-4Published: 10 July 2012

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XII, 108

  • Number of Illustrations: 9 b/w illustrations, 61 illustrations in colour

  • Topics: Image Processing and Computer Vision

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