Robust Motion Detection in Real-Life Scenarios (Paperback, 2012 ed.)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	SpringerBriefs in Computer Science
Release date:	July 2012
First published:	2012
Authors:	Ester Martinez-Martin • Angel P. Del Pobil
Dimensions:	235 x 155 x 7mm (L x W x T)
Format:	Paperback
Pages:	108
Edition:	2012 ed.
ISBN-13:	978-1-4471-4215-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	1-4471-4215-2
Barcode:	9781447142157

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