基于OpenCV的视频入侵检测方法研究

Research on Video Intrusion Detection Method Based on OpenCV

随着安防技术在全球大环境中的飞速发展,视频监控系统已经成为了新兴的防入侵的有效手段。传统的视频监控系统并没有分析视频序列的功能,也不能在出现入侵目标时及时发出警报。本文在OpenCV的环境中,针对入侵目标的形态特征,提出了对视频入侵检测的研究方法,构建了基于OpenCV的视频入侵检测系统模型,提出了此视频入侵检测系统的硬件以及软件的设计方案,并利用计算机视觉领域内较为普遍的OpenCV技术成功实现了对于视频中出现入侵目标的检测功能,最后通过运行程序来验证该视频入侵检测系统的可行性。

With the rapid development of security technology in the global environment, video surveillance system has become an effective means of anti-invasion. The traditional video surveillance system cannot analyze the video sequence, and cannot raise the alarm timely when intrusions happen. In the environment of OpenCV, this paper puts forward the research method of video intrusion detection for the morphological characteristics of intrusion target. This paper constructs a model of video intrusion detection system based on OpenCV, and puts forward the hardware and software design of this video intrusion detection system. The software is successfully implemented in the field of computer vision. Intrusion target detection function is achieved, and its feasibility is verified through actual operation.