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
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[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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