Fare evasion behavior detection method and device and readable storage medium

Abstract

The invention discloses a fare evasion behavior detection method and device and a readable storage medium, and the method comprises the steps: obtaining a plurality of frames of original images of a to-be-detected gate opening in a first preset duration; determining a depth image corresponding to each frame of original image in the multiple frames of original images; according to the depth image,determining human body height information of at least one to-be-measured target object relative to the ground in each frame of original image; according to the depth image, determining distance information of the at least one to-be-detected target object relative to an image collector in the direction parallel to the to-be-detected gate opening, wherein the image collector is used for obtaining the multiple frames of original images; determining a motion trend of the at least one target object to be measured according to the human body height information and the distance information; and if itis detected that the motion trend meets a first preset condition, indicating that the at least one to-be-detected target object has a fare evasion behavior of illegally passing through the to-be-detected gate port.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a method, device and readable storage medium for detecting fare evasion. Background technique [0002] The subway is one of the main ways of travel in people's daily life. The main charging method is through the card reader or QR code scanning device installed at the subway gate. When the deduction is successful, the gate opens to allow passengers pass. However, there are occasional fare evasion behaviors at the gates. For example, passengers jump directly above the gates without swiping their cards; While passing through the gate, a passenger behind it clings to it and passes through the gate at the same time, that is, one swipe card for two passes. Many fare evasion behaviors have affected the normal revenue of the subway company. [0003] At present, it is mainly determined whether the passenger swipes the card by identifying the intersection of the arm trajectory ...

AI Technical Summary

Problems solved by technology

Many fare evasion behaviors have affected the normal revenue of the subway company

[0003] At present, it is mainly determined whether the passenger swipes the card by identifying the intersection of the arm trajectory and the card swiping area of ​​the gate. Since the arm is easily blocked, it is difficult to accurately detect fare evasion behaviors such as drilling and tailgating.

It can be seen that the existing detection accuracy of fare evasion is low

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