An implementation method of a toll lane vehicle feature recognition system based on video
A vehicle feature and identification system technology, which is applied in the implementation field of the toll lane vehicle feature identification system, can solve the problems that the identification method cannot take into account the accuracy, real-time and economy, and cannot meet the requirements of accurate and real-time identification for large-scale deployment, etc. Achieve the effect of improving real-time performance and network parameter usage efficiency, saving time consumption, and improving real-time performance
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[0049] The present invention provides a method for implementing a video-based toll lane vehicle feature recognition system, which can effectively realize vehicle detection and tracking, avoid repeated feature recognition of the same vehicle, and improve the accuracy and real-time performance of vehicle feature recognition.
[0050] The present invention will be further described below with reference to the drawings and examples.
[0051] The technical scheme of the present invention is: a method for implementing a vehicle feature recognition system of a toll lane based on video. Such as figure 1 As shown, it specifically includes three parts, namely vehicle detection, vehicle tracking and vehicle feature recognition. The steps are as follows:
[0052] Step S1: For each frame of picture, such as Figure 7 As shown in (a), the vehicle detection based on the deep learning method is performed, and the feature maps of the detected vehicles are normalized and saved, and the location info...
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