Method for discriminating pedestrian traffic behavior in subway station based on video data

A technology of video data and pedestrian traffic, applied in image data processing, character and pattern recognition, image analysis, etc., can solve the problems of low accuracy, poor effectiveness, time-consuming and labor-intensive, etc., to improve the management level of large passenger flow in subway stations, guarantee The effect of passenger travel safety

Active Publication Date: 2021-09-17
SHANGHAI UNIV OF ENG SCI
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Problems solved by technology

[0004] The invention provides a method for discriminating traffic behavior of pedestrians in a subway station based on video data, which s

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  • Method for discriminating pedestrian traffic behavior in subway station based on video data
  • Method for discriminating pedestrian traffic behavior in subway station based on video data
  • Method for discriminating pedestrian traffic behavior in subway station based on video data

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Embodiment Construction

[0032] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0033] Such as figure 1 As shown, the present invention provides a method for discriminating traffic behavior of pedestrians in a subway station based on video data, using pedestrian traffic behavior characteristic parameters such as position coordinates, speed, walking angle, etc., to discriminate a series of behaviors that occur in the station , by identifying the specific behavior of individual pedestrians, the parameter differences of different behaviors of different individuals or heterogeneous groups of people can be obtained, which is useful for analyzing the different safety states of crowds under high-density conditions in subway stations and studying the safety of corresponding guidance facilities. The design scheme is of great significance. details as follows:

[0034] First, the video data ...

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Abstract

The invention belongs to the technical field of urban rail transit intelligent management, and discloses a method for discriminating pedestrian traffic behaviors in a subway station based on video data. The method comprises the following steps: tracking the position of each pedestrian in video data in real time; and according to the distance and passage space between pedestrians or between the pedestrians and obstacles, determining single behaviors, interactive behaviors and obstacle avoidance behaviors of the pedestrians, so that traffic dispersion in the subway station is effectively guided. According to the method, the parameter difference of the traffic behaviors of different pedestrians can be recognized, and the method has important significance in analyzing different safety states of people under the high-density condition in the subway station and researching corresponding dispersion facility safety design schemes.

Description

technical field [0001] The invention belongs to the technical field of intelligent management of urban rail transit, and in particular relates to a method for discriminating traffic behavior of pedestrians in a subway station based on video data. Background technique [0002] When passenger flow control is implemented in subway stations, pedestrians in the stations become the objects of control. When the subway station is under the condition of high-density crowds, if individual pedestrians have abnormal traffic behaviors, such as improperly staying near the gates, wandering or going against the road, etc., it will cause instability among the crowd, resulting in a decrease in traffic capacity, or even It may cause major safety accidents such as stampede. Therefore, if we can find a way to distinguish pedestrian traffic behavior under different facility scenarios and crowd density conditions in subway stations, it will be able to provide a basis for the safety design of subw...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/73
CPCG06T7/73G06T2207/30241G06T2207/30196G06T2207/10016
Inventor 胡华丁泓十方勇魏万旭
Owner SHANGHAI UNIV OF ENG SCI
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