Moving Object Detection Using Background Subtraction

Soharab Hossain Shaikh

ISBN 10: 3319073850 / ISBN 13: 9783319073859

Published by Springer International Publishing, Springer International Publishing Jul 2014, 2014

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 80 pp. Englisch.

Seller Inventory # 9783319073859

Bibliographic Details

• Title: Moving Object Detection Using Background Subtraction
• Publisher: Springer International Publishing, Springer International Publishing Jul 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3319073850
• ISBN 13: 9783319073859
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 5D millimeters 235 millimeters width by 155 millimeters height by 5 millimeters depth
• Weight: 137 grams

About this title

Synopsis

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.