A vehicle identification method and device
A vehicle identification and vehicle technology, applied in the field of vehicle identification, can solve problems such as difficulty in extracting road traffic vehicles, achieve accurate and efficient traffic flow conditions, solve the difficulty in feature extraction, and high recognition.
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Embodiment 1
[0053] see figure 1 , is a schematic flowchart of a vehicle identification method provided in Embodiment 1 of the present invention.
[0054] The vehicle identification method provided in this embodiment can be executed by the vehicle identification terminal. Wherein, in this embodiment, the vehicle identification terminal is preferably a vehicle identification device (even a cloud server, etc.), the identification device can be realized by software and / or hardware, and the identification device can be two or more It can be composed of a physical entity, or it can be composed of a physical entity.
[0055] Specifically, see figure 1 , the vehicle identification method includes step S101 to step S103.
[0056] S101. Acquire an image of a vehicle to be recognized on a road section to be recognized.
[0057] Preferably, the image of the vehicle to be identified is obtained through the following steps:
[0058] Real-time acquisition of vehicle images of road sections to be iden...
Embodiment 2
[0108] see image 3 , is a schematic structural diagram of a vehicle identification device provided in Embodiment 2 of the present invention, including:
[0109] An image acquisition module 201, configured to acquire an image of a vehicle to be identified on a road section to be identified;
[0110] Concave-convex point extraction module 202, for extracting the concave point and convex point of the vehicle image to be recognized, and constructing the concave point model and the convex point model of the vehicle image to be recognized according to the concave point and the convex point;
[0111] A matching recognition module 203, configured to pair the vehicle image to be recognized with a vehicle image database based on the concave point model and the convex point model, obtain a vehicle recognition result of the vehicle image to be recognized, and obtain the The traffic flow of the road section to be identified.
[0112] Preferably, the image acquisition module 201 includes...
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