Research on Detection Algorithm for Airport Restricted Vehicles
Aiming at the problem that a single detection method is unable to carry out the statistics of restricted vehicles in the airport area,this paper introduces the multi-objective tracking algorithm into the vehicle detection link to discriminate the status of vehicles entering and leaving the airport area,which provides the basis for the statistics of restricted vehicles in the airport area.In order to improve the accuracy of the algorithm for the detection of restricted vehicles,a new dataset containing public data and field collection data is constructed.Experiments prove that the detection algorithm proposed in this paper has better performance compared with other mainstream algorithms and is more suitable for airport application scenarios.
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