Anomaly Detection In Surveillance Videos

The goal of anomaly detection in surveillance videos is to promptly identify activities that deviate from normal patterns and determine the time windows during which anomalies occur. This task falls within the realm of computer vision, aiming to automatically filter out abnormal events through intelligent algorithms, thereby reducing the waste of human and time resources and enhancing the intelligence level of video monitoring systems. Since anomalous events such as traffic accidents and criminal activities are relatively rare, the application of this technology holds significant value.