Robust Motion Detection in Real-Life Scenarios
Series: SpringerBriefs in Computer Science;
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Product details:
- Edition number 2012
- Publisher Springer London
- Date of Publication 11 July 2012
- Number of Volumes 1 pieces, Book
- ISBN 9781447142157
- Binding Paperback
- No. of pages108 pages
- Size 235x155 mm
- Weight 197 g
- Language English
- Illustrations XII, 108 p. 70 illus., 61 illus. in color. Illustrations, black & white 0
Categories
Long description:
This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.
MoreTable of Contents:
Introduction.- Motion Detection in Static Backgrounds.- Motion Detection in General Backgrounds.- Applications.- Computer Vision Terms.
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