Robust Motion Detection in Real-Life Scenarios

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53,49 €

SpringerBriefs in Computer Science

ISBN: 1447142152
ISBN 13: 9781447142157
Autor: Martínez-Martín, Ester/Pobil, Ángel P del
Verlag: Springer Verlag GmbH
Umfang: xii, 108 S., 9 s/w Illustr., 61 farbige Illustr., 108 p. 70 illus., 61 illus. in color.
Erscheinungsdatum: 11.07.2012
Auflage: 1/2012
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 3436502 Kategorie:

Beschreibung

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.

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