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Moving Object Detection Using Background Subtraction / by Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink BücherPublisher: Cham ; s.l. : Springer International Publishing, 2014Description: Online-Ressource (X, 67 p. 32 illus, online resource)ISBN:- 9783319073866
- 006.6
- T385 TA1637-1638 TK7882.P3
- T385
- TA1637-1638
- TK7882.P3
Contents:
Summary: 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 fieldPPN: PPN: 1658605683Package identifier: Produktsigel: ZDB-2-SCS
IntroductionMoving 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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