海上运动目标入侵检测研究综述
A Review on Intrusion Detection of Moving Objects at Sea
DOI: 10.12677/JISP.2020.93016, PDF,  被引量    科研立项经费支持
作者: 谷东亮, 金 鑫：海军大连舰艇学院航海系，辽宁 大连
关键词: 运动检测；目标识别；海上入侵检测；Motion Detection； Target Identification； Maritime Intrusion Detection
摘要: 基于可见光视频的海上运动目标入侵检测是一个非常重要的研究课题。本文从传统运动目标检测与识别和基于深度学习中卷积神经网络的目标检测与识别这两个方面对其研究现状进行了介绍。由于海上运动目标的准确提取更加困难，因此本文又单独介绍了海上运动目标检测与识别的研究现状。
Abstract: Intrusion detection of moving targets at sea based on visible video is a very important research topic. In this paper, the research status of moving target detection and recognition is introduced from two aspects: the first is traditional moving target detection and recognition; the second is convolutional neural network based on deep learning. Because it is more difficult to extract the moving objects at sea, this paper introduces the research status of detecting and identifying moving objects at sea.
文章引用：谷东亮, 金鑫. 海上运动目标入侵检测研究综述[J]. 图像与信号处理, 2020, 9(3): 129-136. https://doi.org/10.12677/JISP.2020.93016

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