Video-based abnormal event detection method and video-based abnormal event detection device applied to expressway
A technology for abnormal events and highways, applied in the direction of neural learning methods, computer components, instruments, etc., can solve the problems of difficult and accurate identification of abnormal events, slow recognition speed of abnormal events, and slow recognition speed, so as to achieve accurate recognition results, Easy to misjudgment, the effect of accurate judgment results
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Embodiment 1
[0053] Embodiment 1 of the present invention provides a video-based abnormal event detection method applied on expressways. The main process steps are as follows:
[0054] Obtain video images on the highway and preprocess the video images;
[0055] Perform frame difference calculation on the acquired video image to divide the motion area of the video image. Because the occurrence of abnormal events will cause motion on the video image, it is beneficial to perform frame difference calculation on the acquired video image to divide the motion area of the video image. Accurately and quickly locate abnormal areas;
[0056] Detect the divided motion areas to identify whether the object is a vehicle or a pedestrian;
[0057] According to the identified object, identify the abnormal event as retrograde or congestion or throwing or pedestrian intrusion.
[0058] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, t...
Embodiment 2
[0085] refer to figure 2 Embodiment 2 of the present invention provides a video-based abnormal event detection device applied on expressways, including:
[0086] The video image acquisition module is used to obtain the video image and preprocess the video image, zoom and enhance the video image;
[0087] The motion area detection module is used to receive the acquired video image and perform frame difference operation detection on the video image using an adaptive threshold method, divide the motion area of the video image, and input the detected area to the object detection module;
[0088] The object detection module is used to receive the divided motion areas, detect each motion area, identify whether the object is a vehicle or a pedestrian, and send the detection results to the abnormal event discrimination module;
[0089] The abnormal event discrimination module is used to identify the abnormal event as retrograde or congestion or throwing or pedestrian intrusion accor...
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