Research on Intelligent Video Analysis Technology in Smart Campus Security Scenario

Abstract

The core of smart campus is security. In order to explore the application effect of intelligent video analysis technology in different security scenarios, this study has carried out research and experiments on the improved smoke detection algorithm based on optical flow and the personnel detection algorithm based on SVM. The results show that the improved smoke detection algorithm based on optical flow has high recall rate and can achieve efficient smoke detection in different application scenarios; the efficiency of the SVM-based personnel detection algorithm is significantly higher than other feature recognition algorithms, with a detection rate of 94.38%. Therefore, it shows that in the smart campus security scenario, the two algorithms proposed in this study have good application effects and are worth promoting vigorously.