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Book Cover
Author Shaikh, Soharab Hossain, author

Title Moving object detection using background subtraction / Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
Published Cham : Springer, 2014
Online access available from:
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Description 1 online resource (x, 67 pages) : illustrations
Series SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in computer science. 2191-5768
Contents Introduction -- Moving Object Detection Approaches, Challenges and Object Tracking -- Moving Object Detection Using Background Subtraction -- Moving Object Detection: A New Approach -- Databases for Research -- Conclusion
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed June 27, 2014)
Subject Computer vision.
Context-aware computing.
Pattern recognition systems.
Form Electronic book
Author Saeed, Khalid (Computer scientist), author
Chaki, Nabendu, author
ISBN 9783319073866 (electronic bk.)
3319073869 (electronic bk.)
3319073850 (print)
9783319073859 (print)