Moving Object Detection Using Background Subtraction

Soharab Hossain Shaikh, Khalid Saeed, Nabendu Chaki (Autoren)

Buch | Softcover

X, 67 Seiten

2014 | 2014
Springer International Publishing (Verlag)
978-3-319-07385-9 (ISBN)

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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.

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.

Erscheint lt. Verlag	8.7.2014
Reihe/Serie	SpringerBriefs in Computer Science
Zusatzinfo	X, 67 p. 32 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	136 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Background Subtraction • Frame differencing • Moving object detection from video • object tracking • optical flow • Statistical background modeling • Temporal differencing
ISBN-10	3-319-07385-0 / 3319073850
ISBN-13	978-3-319-07385-9 / 9783319073859
Zustand	Neuware