Moving Object Detection Using Background Subtraction
1st Edition
Published on 20. June 2014
X, 67 pages
978-3-319-07386-6 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
X, 67 p. 32 illus.
File size
3,48 MB
ISBN-13
978-3-319-07386-6 (9783319073866)
DOI
10.1007/978-3-319-07386-6
Schweitzer Classification
Other editions
Additional editions
Soharab Hossain Shaikh | Khalid Saeed | Nabendu Chaki
Moving Object Detection Using Background Subtraction
Book
07/2014
Springer
€53.49
Shipment within 10-15 days
Content
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.
