Research on Security Monitoring Algorithms Based on Video Images
In order to address the issues of noise interference and cavity phenomenon in motion target detection and extraction algorithms in intelligent video surveillance,an improved algorithm was developed by using Matlab environment to perform"OR"operations on binary images obtained using background difference method and two frame difference method,as well as binary images obtained using three frame difference method,and a comparative evaluation was conducted.The experimental results show that the improved algorithm can avoid the phenomenon of that occur detection of moving targets using the detection method,overcome the disadvantage of easy noise interference,and obtain clearer target contours than the previously extracted moving targets using a single algorithm.
video surveillancemoving target detectionbackground subtractionthree image difference