| 书目名称 | Robust Motion Detection in Real-Life Scenarios |
| 编辑 | Ester Martínez-Martín,Ángel P. del Pobil |
| 视频video | |
| 概述 | Proposes a complete sensor-independent visual system that provides robust target motion detection.Presents a novel background maintenance approach for robotic systems in an unknown environment.Address |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2012 |
| 关键词 | Applications; Background Maintenance; Image Processing; Motion Detection; Segmentation |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-4216-4 |
| isbn_softcover | 978-1-4471-4215-7 |
| isbn_ebook | 978-1-4471-4216-4Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | Ester Martínez-Martín 2012 |
发表于 2025-3-21 16:21:37
