Crowd evacuation simulation method and system based on video data driving

Abstract

The invention relates to a crowd evacuation simulation method and system based on video data driving. The method comprises the following steps that: obtaining the video record of an appointed area, and utilizing a KLT (Kanade-Lucas-Tomasi) tracking algorithm to extract the initial coordinate, the movement speed, the exit position and the movement path of crow evacuation from the video record; and according to the initial coordinate and the movement speed, initializing an individual to be evacuated, carrying out interleaving access on a relative position between the initial coordinate of each individual and an exit and the movement path to obtain a shortest path from the initial coordinate of each individual to the exit, adopting a social force model to calculate the speed and the direction of the individual in real time on the basis of the above initial coordinate, movement speed and shortest path in real time so as to realize the simulation of a crowd evacuation behavior. The initial setting and the evacuation leading path of simulated evacuation is from a real radio, and the simulated evacuation can be more truly realized so as to provide help for evacuation maneuvering.

Description

technical field [0001] The invention relates to the field of crowd evacuation computer simulation, in particular to a crowd evacuation simulation method and system driven by video data. Background technique [0002] With the improvement of people's living standards and the rapid development of modern urban construction, people travel more and more frequently, and people's office spaces are becoming more and more dense, followed by crowding in large public places and stampede accidents causing casualties Accidents are becoming more and more frequent. Especially for office spaces with a high concentration of people in big cities, the architectural scene design is very complicated. Once a dangerous situation occurs, it is often difficult for people to quickly find the nearest exit without reasonable evacuation guidance. Moreover, the study also shows that due to In the event of disasters such as fires and earthquakes, the crowd is extremely panicked and cannot reasonably use m...

AI Technical Summary

Problems solved by technology

[0009] Most of the existing crowd evacuation simulation models focus on how to simulate. For example, the macroscopic evacuation model treats the evacuated crowd as a whole. Although the evacuation speed is fast, the evacuation effect is far from the real situation; According to the rules defined by the model, there is a lack of macro target selection and path navigation, and global motion planning must be made for each evacuated individual. The computational overhead is too large, and it can only be used to deal with small-scale groups. In real-time computing environments Difficult to apply in

Therefore, the existing evacuation model is quite different from the real evacuation process in real life

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