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Moving Object Detection Using Background Subtraction: SpringerBriefs in Computer Science

Autor Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
en Limba Engleză Paperback – 8 iul 2014
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.
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Specificații

ISBN-13: 9783319073859
ISBN-10: 3319073850
Pagini: 80
Ilustrații: X, 67 p. 32 illus.
Dimensiuni: 155 x 235 x 7 mm
Greutate: 0.12 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras