Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set |
| |
| Authors: | Zygmunt L Szpak Jules R Tapamo |
| |
| Affiliation: | 1. College of Information Technology, Harbin Engineering University, Harbin, China;2. Wuhan Digital Engineering Research Institute, Wuhan, China;1. Intelligent Transport Systems Research Center (ITSC), Wuhan University of Technology, Wuhan 430063, China;2. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Portugal;3. National Engineering Research Center for Water Transport Safety (WTSC), Wuhan University of Technology, Wuhan, China;1. School of Physics and Optoelectronic Engineering, Xidian University, Xi’an 710071, China;2. Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo 101-8430, Japan;3. Shanghai Aerospace Control Technology Institute, Shanghai 201109, China;4. Research and Development Center of Infrared Detection Technology, China Aerospace Science and Technology Corporation, Shanghai 201109, China |
| |
| Abstract: | Surveillance in a maritime environment is indispensable in the fight against a wide range of criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking. Computer vision systems can be a useful aid in the law enforcement process, by for example tracking and identifying moving vessels on the ocean. However, the maritime domain poses many challenges for the design of an effective maritime surveillance system. One such challenge is the tracking of moving vessels in the presence of a moving dynamic background (the ocean). We present techniques that address this particular problem. We use a background subtraction method and employ a real-time approximation of level-set-based curve evolution to demarcate the outline of moving vessels in the ocean. We report promising results on both small and large vessels, based on two field trials. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
