%0 Journal Article
%T 基于视频的海上运动目标入侵检测<br>Video Based Intrusion Detection for Moving Targets at Sea
%A 谷东亮
%A 金鑫
%J Journal of Image and Signal Processing
%P 93-101
%@ 2325-6745
%D 2020
%I Hans Publishing
%R 10.12677/JISP.2020.92012
%X <div style=\"text-align:justify;\">
	我国现有的海上安全防护设施存在观测、监控及警戒手段稍微落后的缺陷，其他国家侵犯我国海域的情况屡有发生。因此，本文在使用Faster R-CNN识别舰船种类的基础上，提出了一种无风流情况下海上运动目标入侵检测方法，并且分析了风流对该方法的影响。目前该方法可以将舰船识别为航母、其他军舰、民船三类，并且当目标进入警戒区域时可自动报警。<br />
Our country’s existing maritime security protection facilities are a little behind in terms of ob-servation, monitoring and vigilance measures. Therefore, on the basis of using Faster R-cnn to identify ship types, this paper proposes an intrusion detection method for moving targets at sea without air and flow, and analyzes the influence of air and flow on this method. At present, this method can identify the ship as an aircraft carrier, other warships and civilian ships, and auto-matically alarm when the target enters the warning area.
</div>
%K 运动检测，目标识别，海上入侵检测<br>Motion Detection
%K Target Identification
%K Maritime Intrusion Detection
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=34730