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140701 ||| eng |
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|a 9783319073866
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|a Shaikh, Soharab Hossain
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|a Moving Object Detection Using Background Subtraction
|h Elektronische Ressource
|c by Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
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250 |
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|a 1st ed. 2014
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260 |
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|a Cham
|b Springer International Publishing
|c 2014, 2014
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300 |
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|a X, 67 p. 32 illus
|b online resource
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|a 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
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653 |
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|a Image processing / Digital techniques
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653 |
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|a Computer vision
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653 |
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|a Multimedia systems
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653 |
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|a Computer Vision
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653 |
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|a Computer Imaging, Vision, Pattern Recognition and Graphics
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653 |
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|a Multimedia Information Systems
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700 |
1 |
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|a Saeed, Khalid
|e [author]
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700 |
1 |
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|a Chaki, Nabendu
|e [author]
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041 |
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a SpringerBriefs in Computer Science
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|a 10.1007/978-3-319-07386-6
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|u https://doi.org/10.1007/978-3-319-07386-6?nosfx=y
|x Verlag
|3 Volltext
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|a 006
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|a 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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