Public space pedestrian flow motion risk discrimination method based on dynamic data analysis
A technology of dynamic data and discriminant methods, applied in data processing applications, instruments, resources, etc., can solve problems such as the lack of close relationship between pedestrian status and risk, and insufficient timeliness
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[0096] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0097] According to one or more embodiments, a method for judging the risk of pedestrian flow movement in public space based on dynamic data analysis is disclosed, such as figure 1 shown, including the following steps:
[0098] S1. Obtain camera angle frame information and related parameter information of a target scene, and extract real-time dynamic data of pedestrian flow;
[0099] S2: Use the extracted real-time dynamic data of pedestrian flow to calculate and obtain pedestrian flow risk indicators;
[0100] S3: Establish a pedestrian flow risk stratification model for the target scene according to the pedestrian flow risk index;
[0101] S4: Calculate and obtain the risk bias of pedestrian flow movement according to the pedestrian flow risk index;
[0102] S5: Establish a deep learning training model of the target scene according to the pedestrian flow...
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