A method and device for identifying a stopped vehicle

Abstract

In this application, the road video is captured by drone cruising and transmitted to the computing device. After the computing device receives the road video, it obtains multiple video frames corresponding to the road video, and detects and tracks the vehicles in the multiple video frames. Then calculate the transformation matrix between adjacent video frames, and then calculate the displacement of each detected vehicle in the actual scene, and finally judge whether the vehicle is in the actual scene by counting the cumulative displacement of each vehicle over a period of time Stop driving, compared with the existing traditional methods, there is no need to deploy monitoring equipment on site in advance, it is flexible to use, the deployment cost and management cost are low, and the parking behavior on the road can be monitored on a large scale, and the UAV in this application can Keep moving and flying without hovering in the air to fix the monitoring screen, which can realize more convenient, efficient and flexible road parking recognition.

Description

technical field [0001] The present application relates to the communication field, and in particular to a technology for identifying a stopped vehicle. Background technique [0002] With the rapid development of science and technology, drone technology has gradually entered people's field of vision. With its unique advantages, drones are quickly applied to various industries. With the gradual popularization of highway digitalization and intelligence, drones have also shown more and more application prospects in the highway field. UAVs fly high and see far, especially when facing holidays, accidents, weather and other factors that cause road congestion on the expressway, the high-definition camera on the UAV can transmit the picture to the monitoring platform in real time at the first time , to facilitate the high-speed traffic police to deploy police forces according to the aerial photography of road conditions. Illegal parking on the expressway is the most common traffic...

AI Technical Summary

Problems solved by technology

At present, the supervision of highway vehicle driving still requires a lot of manpower and material resources, especially in the monitoring of illegal parking. Illegal parking is mainly found through human road inspection and fixed camera monitoring. Human road inspection requires a lot of manpower and fixed cameras. Surveillance can only rely on the cameras that have been set up, the monitoring range is small, and the flexibility is poor

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