Urban rail transit gate machine passing control method

Abstract

The invention discloses an urban rail transit gate machine passing control method. Through camera angles, parameters such as the distance between the camera and the gate machine channel, the number ofthe camera monitoring gate machine channels is calibrated; internal and external parameters of the camera are calibrated through a checkerboard calibration method; three-dimensional reconstruction ofthe depth image in a gate coordinate system is carried out; calibrating the relative spatial position of the gate leaf door; sampling processing is carried out on the historical monitoring video image data according to passenger passing behaviors; A target motion area is detected therein, extracting significant gait characteristics of the moving object for the target moving areas; According to the invention, the gait characteristic information of each frame of the video is combined to construct a corresponding time sequence, and finally, a time sequence analysis model is constructed, trainedand tested by combining a machine learning method, so that real-time detection, recognition and response to the passage behavior of passengers are realized, the opening and closing of the gate leaf door are effectively controlled, and the recognition accuracy is improved.

Description

[0001] Field [0002] The invention relates to an urban rail transit intelligent technology, in particular to a method for controlling the passage of urban rail transit gates. Background technique [0003] In the Automatic Fare Collection (AFC) system, the passenger AFC equipment related to ticket card processing includes gates, automatic ticket vending machines and ticket processing terminals. Among them, gates are the most critical. They are installed in the pay area and An important functional device that is not at the boundary of the payable area, directly faces passengers, and is responsible for ticket checking. The gates monitor and identify the behavior of passengers passing through the gates through the internal logic control algorithm, check the tickets for the passengers who pass legally, and block or alarm in the case of illegal passage of the passengers. The traffic control algorithm is the control center of the turnstile, and it is also the most demanding place in the...

AI Technical Summary

Problems solved by technology

However, for this common logic control method, the number of sensors, the layout of sensors, and the sensitivity of sensors will all affect the execution effect of the algorithm. In the process of algorithm development, continuous optimization is required, and the price of most gate system equipment is relatively high. , the economic cost is too large, so it is urgent to provide a more convenient, accurate and simple traffic gate access control method

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