ENGLISH

Moving Object Detection Using Background Subtraction

By Khalid Saeed , Soharab Hossain Shaikh , Nabendu Chaki (auth.)

Book information

Publisher
Springer International Publishing
Year
2014
ISBN
978-3-319-07385-9, 978-3-319-07386-6
DOI
10.1007/978-3-319-07386-6
Language
english
Format
PDF
Filesize
3 MB (3548879 bytes)
Series
SpringerBriefs in Computer Science
Edition
1
Pages
67\74
Time added
2014-11-10 20:00:00
Computer ImagingPattern Recognition and Graphics; Image ProcessingVision

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.

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