Research on Intelligent Recognition Technology of Home Security Video Based on Convolutional Neural Network
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.
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