Research on Logical Understanding of Video Surveillance Systems Based on Knowledge Graphs
Shikai Jin, Tang Chunming, Yan Li · 2023
Video surveillance systems are widely used in various fields, and enhancing the intelligence of video surveillance for better video understanding is a crucial topic. This paper conducts research on video logic understanding in surveillance systems using knowledge graphs and designs a video understanding system framework based on both prior and posterior knowledge graphs. The application system is developed using a Browser Server architecture. Finally, an experimental environment is set up in a 36 channel indoor duty scenario, resulting in a video understanding system with decision support capabilities.