Fake plate vehicle detection method based on vehicle hot spot area probability aggregation

Abstract

The invention discloses a fake plate vehicle detection method based on vehicle hot spot area probability aggregation. The fake plate vehicle detection method comprises the steps that S1, checkpoint data is extracted; S2, the checkpoint data is cleaned; S3, flow directions between the checkpoints are calculated; S4, a list of abnormally-acting vehicles are calculated: according to a checkpoint pair of every vehicle extracted by S2, checkpoint pair probabilities are calculated, and are arranged in a descending order according to times having probabilities lower than a threshold value, and then first N rows are selected to be used as the list of the abnormally-acting vehicles; S5, vehicle hot spot area checkpoint points are calculated; S6, the probabilities of the vehicles moving between two hot spot area checkpoint points are calculated; S7, the checkpoints are aggregated together according to the probabilities calculated by S6; S8, probabilities of fake plate vehicles Z are calculated according to a vehicle checkpoint aggregation condition. Random checkpoint license number identification errors are overcome, and by using a characteristic of relatively fixed vehicle moving areas, the vehicles having large suspicion of faking the license plates are selected, the suspicion range is greatly reduced, and the practicability is good.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a detection method for vehicles with license plates. Background technique [0002] Cars with license plates, commonly known as clone cars, refer to vehicles that go on the road through forged or illegally obtained license plates and driving licenses of other vehicles. With the development of the economy, the number of vehicles is increasing, and the license plate vehicles are also increasing. False license plates will disrupt the public security authorities' control over public safety. Since license plates do not have legal procedures and insurance, once a traffic accident occurs, the driver can easily escape. The set of license plates also provides criminal tools for criminal activities, which greatly increases the difficulty of solving crimes. Cars with license plates will evade various taxes and fees, causing a large loss of national taxes and fees, and disrupting t...

AI Technical Summary

Problems solved by technology

[0020] In order to overcome the shortcomings of the existing detection methods for vehicles with false checkpoints due to random bayonet number plate recognition errors, excessive suspect ranges, and poor practicability, the present invention provides a method for overcoming random bayonet number plate recognition errors, using vehicle Due to the relatively fixed characteristics of the activity area, it can screen out vehicles with a high degree of suspicion of decking, greatly reduce the scope of suspicion, and have good practicability. A decked vehicle detection method based on the probability aggregation of vehicle activity hotspots

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