Robust Motion Detection in Real-Life Scenarios Paperback / softback
by Ester Martinez-Martin, Angel P. Del Pobil
Part of the SpringerBriefs in Computer Science series
Paperback / softback
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.
Information
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Item not Available
- Format:Paperback / softback
- Pages:108 pages, 61 Illustrations, color; 9 Illustrations, black and white; XII, 108 p. 70 illus., 61 illu
- Publisher:Springer London Ltd
- Publication Date:11/07/2012
- Category:
- ISBN:9781447142157
Other Formats
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Information
-
Item not Available
- Format:Paperback / softback
- Pages:108 pages, 61 Illustrations, color; 9 Illustrations, black and white; XII, 108 p. 70 illus., 61 illu
- Publisher:Springer London Ltd
- Publication Date:11/07/2012
- Category:
- ISBN:9781447142157
