YOLO-Based Video Processing for CCTV Surveillance
Sujata Terdal, F Sayyada, Ameena Fatima, Amulya Reddy, Manasi Koppal · 2023
A visual surveillance system is primarily employed for the analysis and interpretation of object behaviours within a given video scene. Surveillance system is important because it acts as a deterrent to crime, helping prevent theft, vandalism, assault and enhances public safety by monitoring public spaces and allowing for a timely response to emergencies. The performance of a surveillance system using traditional cameras is vastly superior during daytime as compared to night time, this is primarily due to the availability of natural light during the day whereas at night in the absence of ambient light it's difficult for detecting objects. The developed system that detects anomalous activity during the day as well as night and alert the authorized user. The proposed system captures the video using CCTV camera and converts the video into frames, these frames undergo pre-processing to detect objects using YOLO algorithm. In the event of any anomalies or suspicious activities detected within the surveillance system, an alert message is promptly sent to the concerned user or designated authority. The results of the system demonstrate that the accuracy of the proposed methods reaches 98.3%.