基于卷积神经网络的居家安全视频智能识别技术研究
Research on Intelligent Recognition Technology of Home Security Video Based on Convolutional Neural Network
颜燕1
作者信息
- 1. 联通(广东)产业互联网有限公司,广东 广州 510006
- 折叠
摘要
在居家安全视频智能识别领域,利用卷积神经网络对监控视频中的人脸、行为、物体等进行识别和分析,可以实时监测并预警潜在的安全风险,以实现对居家安全视频中异常事件的智能识别和预警.基于此,本文提出了基于卷积神经网络的居家安全视频智能识别技术研究,对大量居家安全视频数据进行了预处理和标注,以构建训练所需的数据集,通过训练卷积神经网络模型,使其学习视频中的关键特征,并实现对异常事件的准确识别.
Abstract
In the field of intelligent recognition of home security video,by using convolutional neural network to identify and analyze faces,behaviors and objects in surveillance video,potential security risks can be monitored and warned in real time,so as to realize intelligent recognition and early warning of abnormal events in home security video.This paper proposes a research on intelligent recognition technology of home security video based on convolutional neural network.A large number of home security video data are preprocessed and labeled to construct the data set required for training.By training the convolutional neural network model,it can learn the key features in the video and realize the accurate recognition of abnormal events.
关键词
卷积神经网络/居家安全/智能识别/深度学习Key words
convolutional neural network/home security/intelligent recognition/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据