Moving Object Detection Using Background Subtraction by Soharab Hossain ShaikhMoving Object Detection Using Background Subtraction by Soharab Hossain Shaikh

Moving Object Detection Using Background Subtraction

bySoharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki

Paperback | July 8, 2014

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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.
Title:Moving Object Detection Using Background SubtractionFormat:PaperbackDimensions:67 pagesPublished:July 8, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319073850

ISBN - 13:9783319073859

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Table of 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.