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Moving Object Detection Using Background Subtraction

  • Book
  • © 2014

Overview

Authors:
  1. Soharab Hossain Shaikh

    1. A K Choudhury School of Information Technology, University of Calcutta, Kolkata, India

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  2. Khalid Saeed

    1. Bialystok University of Technology, Faculty of Computer Science, Bialystok, Poland

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    You can also search for this author in PubMed   Google Scholar

  3. Nabendu Chaki

    1. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

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    You can also search for this author in PubMed   Google Scholar

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 1-3

  3. Moving Object Detection Approaches, Challenges and Object Tracking

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 5-14

  4. Moving Object Detection Using Background Subtraction

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 15-23

  5. Moving Object Detection: A New Approach

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 25-48

  6. Databases for Research

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 49-65

  7. Conclusions

    • Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
    Pages 67-67
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Keywords

About this book

This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Authors and Affiliations

  • A K Choudhury School of Information Technology, University of Calcutta, Kolkata, India

    Soharab Hossain Shaikh

  • Bialystok University of Technology, Faculty of Computer Science, Bialystok, Poland

    Khalid Saeed

  • Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

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