摘要
首先,介绍了VR虚拟现实技术,并将其应用在视频图像处理中;然后,研究了基于三帧差法的视频目标提取方法;最后,对森林火灾视频监控系统进行了硬件和软件设计,可实现对森林火灾的实时监控。实验结果表明:提出的SVM分类算法具有非常好的识别效果,能够对火灾和烟雾进行准确的识别和分类,验证了系统的实时性和可靠性。
It first introduces VR virtual reality technology and applies it to video image processing,then studies the video object extraction method based on three frame difference method,and then realizes the forest fire video monitoring system from hardware and software,which can realize real-time monitoring of forest fire.The experimental results show that the SVM classification algorithm proposed in this paper has a very good recognition effect,can accurately identify and classify fire and smoke,and verify the real-time and reliability of the system.
作者
黄伟
Huang Wei(Nanchang Normal College of Applied Technology,Nanchang 330199,China)
出处
《农机化研究》
北大核心
2024年第10期218-222,共5页
Journal of Agricultural Mechanization Research
基金
江西省教育厅科学技术研究项目(GJJ219017)。
