Robust Motion Detection in Real-Life Scenarios
Author | : Ester Martínez-Martín |
Publisher | : Springer Science & Business Media |
Total Pages | : 117 |
Release | : 2012-07-10 |
ISBN-10 | : 9781447142164 |
ISBN-13 | : 1447142160 |
Rating | : 4/5 (64 Downloads) |
Download or read book Robust Motion Detection in Real-Life Scenarios written by Ester Martínez-Martín and published by Springer Science & Business Media. This book was released on 2012-07-10 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.