This article proposes a vehicle detection network model aiming at better detecting small vehicle targets,improving the accuracy of object detection,and achieving more robust anomaly detection. At the same time,the paper also explores an anomaly parking detection method based on detection box matching to improve the accuracy of anomaly detection. In order to optimize anomaly detection methods,a vehicle detection network model was introduced in the study to detect vehicle targets,and road masks were generated by combining target detection and target tracking methods. Through the comprehensive application of these methods,the anomaly detector has been further improved,achieving accurate acquisition of the start time and end time of abnormal events.
万方数据