Smart city CIM imaging method based on pedestrian activity and density perception

Abstract

The invention discloses a smart city CIM imaging method based on pedestrian activity and density perception. The method comprises the following steps: constructing a city information model of a three-dimensional digital space; performing pedestrian labeling; training a pedestrian key point extraction network; superposing the pedestrian key point thermodynamic diagrams of the continuous frames, training a camera refresh rate grading network by using an added thermodynamic diagram result, performing pedestrian key point detection network processing, superposing and camera refresh rate grading network processing on the continuous image frames acquired by the camera in real time, and outputting a camera real-time refresh rate grade; adjusting the refresh rate of the camera in real time according to the real-time refresh rate grade of the camera, collecting images, splicing the images, and visually displaying the city information model on a Web page. According to the invention, intelligentsmart city image acquisition is realized, pedestrian detection and analysis precision is improved, camera power consumption is reduced, and model visualization results are richer.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, smart city, and CIM, in particular to a CIM imaging method for a smart city based on pedestrian activity and density perception. Background technique [0002] With the acceleration of urbanization and global economic integration, while cities are developing rapidly, they are also facing many problems in sustainable development. The existing urban management model has been limited, and new technologies and measures must be sought. Optimize resource allocation, improve management level, and improve the ability to serve the people. [0003] The emergence of smart cities stems from the new generation of information technology represented by the Internet of Things, cloud computing, mobile Internet, and artificial intelligence and the open urban innovation ecology that is gradually bred under the environment of a knowledge society. Smart city emphasizes the use of a new generation of ...

AI Technical Summary

Problems solved by technology

[0005] On the one hand, urban road cameras are generally used to monitor pedestrians and vehicles, and often do not automatically adjust the camera refresh rate according to the activity and density of pedestrians, resulting in less effective data and higher power consumption

On the other hand, existing smart city imaging often does not have a global perspective, and various information about smart cities is relatively scattered.

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