The invention provides a ship monitoring intrusion detection method based on evolution self-learning. The method comprises the following steps: acquiring observation images to form a data set, and setting the resolution (w, h), the blocking strategy (m, n) and the comparison time delta t of the observation images; initializing normal distribution parameters mu and sigma based on the set resolution (w, h) of the observation image, the blocking strategy (m, n) and the comparison time delta t; continuously capturing images through a camera, and obtaining an observation image It; carrying out abnormal value detection according to an intrusion detection theory based on the obtained observation image It; and taking the successively acquired observation image It as a new sample, updating parameters mu and sigma based on an evolutionary self-learning algorithm, and carrying out abnormal value detection according to an intrusion detection theory. According to the monitoring intrusion detection technology of abnormal value detection and the parameter estimation technology of evolution self-learning, the ship monitoring intrusion detection method based on evolution self-learning is provided, the method has the excellent characteristics of self-learning, self-adaption, self-evolution and the like, and monitoring intrusion detection applied to fixed scenes such as ships and the like is achieved.
本发明提供一种基于进化自学习的船舶监控入侵检测方法。本发明方法,包括:获取观测图像形成数据集,并设定观测图像的分辨率(w,h)、分块策略(m,n)和比对时间Δt;基于设定的观测图像的分辨率(w,h)、分块策略(m,n)和比对时间Δt,初始化正态分布参数μ,∑;通过摄像头持续捕获图像,获取观测图像It;基于获取的观测图像It,根据入侵检测理论进行异常值检测;将陆续获取的观测图像It作为新样本,基于进化自学习算法更新参数μ,∑,再根据入侵检测理论进行异常值检测。本发明根据异常值检测的监控入侵检测技术,并配合进化自学习的参数估计技术,提出了一种基于进化自学习的船舶监控入侵检测方法,该方法具备自学习、自适应、自进化等优良特性,实现了应用于船舶等固定场景的监控入侵检测。
Ship monitoring intrusion detection method based on evolutionary self-learning
一种基于进化自学习的船舶监控入侵检测方法
2023-10-27
Patent
Electronic Resource
Chinese
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