Online event recognition from moving vessel trajectories
详细信息 查看全文
- 作者：Kostas Patroumpas ; Elias Alevizos ; Alexander Artikis ; Marios Vodas…
- 关键词：AIS ; Event recognition ; Geostreaming ; Moving objects ; Trajectorys
- 刊名：GeoInformatica
- 出版年：2017
- 出版时间：April 2017
- 年：2017
- 卷：21
- 期：2
- 页码：389-427
- 全文大小：
- 刊物类别：Earth and Environmental Science
- 刊物主题：Geographical Information Systems/Cartography; Data Structures, Cryptology and Information Theory; Computer Science, general; Information Storage and Retrieval; Multimedia Information Systems;
- 出版者：Springer US
- ISSN：1573-7624
- 卷排序：21
文摘
We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea. The system employs an online tracking module for detecting important changes in the evolving trajectory of each vessel across time, and thus can incrementally retain concise, yet reliable summaries of its recent movement. In addition, thanks to its complex event recognition module, this system can also offer instant notification to marine authorities regarding emergency situations, such as suspicious moves in protected zones, or package picking at open sea. Not only did our extensive tests validate the performance, efficiency, and robustness of the system against scalable volumes of real-world and synthetically enlarged datasets, but its deployment against online feeds from vessels has also confirmed its capabilities for effective, real-time maritime surveillance.