ENGLISH

Robust Motion Detection in Real-Life Scenarios

By Ester Martínez-Martín , Ángel P. del Pobil (auth.)

Book information

Publisher
Springer-Verlag London
Year
2012
ISBN
9781447142157, 1447142152
DOI
10.1007/978-1-4471-4216-4
Language
english
Format
PDF
Filesize
4 MB (4325503 bytes)
Series
SpringerBriefs in Computer Science
Edition
1
Pages
108\117
Library
Kolxo3
Time added
2012-12-29 17:00:00
Image Processing and Computer Vision

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.

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