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Robust Motion Detection in Real-Life Scenarios (repost)

Posted By: libr
Robust Motion Detection in Real-Life Scenarios (repost)

Robust Motion Detection in Real-Life Scenarios by Ester Martínez-Martín and Ángel P. del Pobil
English | 2012-07-11 | ISBN: 1447142152 | PDF | 120 pages | 4 MB

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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