Multi-camera fused crowd density prediction method and device, storage medium and terminal

Abstract

The invention discloses a multi-camera fusion crowd density prediction method and device, a storage medium and a terminal, and the method comprises the steps: enabling a plurality of cameras to collect scene images in real time, inputting the scene images into a perspective target detection model and a pedestrian target detection model for detection, and generating detection object information anda pedestrian target detection result; generating a perspective transformation matrix of the plurality of cameras based on the detected object information; correcting based on the pedestrian target detection result to generate pedestrian target whole-body frame diagram coordinates; calling a perspective transformation matrix to perform perspective transformation result calculation on the coordinates of the pedestrian target whole-body frame diagram, generating a plurality of perspective transformation results for fusion, and generating a planar graph after de-duplication of pedestrians in eachoverlapping region; and generating a crowd density thermodynamic diagram corresponding to the planar graph according to the coordinates in the planar graph. Therefore, by adopting the embodiment of the invention, the perspective results at the same moment are fused through the plurality of cameras to obtain the real-time planar crowd density thermodynamic diagram, so that the information perception capability and the emergency disposal capability of a management department are improved.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a multi-camera fusion crowd density prediction method, device, storage medium and terminal. Background technique [0002] In recent years, unconventional emergencies have occurred frequently around the world, and these events are likely to bring catastrophic consequences, so the evacuation plan of large-scale groups has become an increasingly important issue in the field of public safety. So far, there have been a large number of model studies on the evacuation of large-scale crowds at the micro and macro levels, and these studies have strongly promoted the development of the field of emergency response based on unconventional emergencies. However, the uncertainties surrounding the evacuation of large populations during unconventional emergencies are not well understood. [0003] In the current crowd monitoring method, the real-time monitoring of ordinary cameras and the thermal...

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Problems solved by technology

However, the uncertainties surrounding the evacuation of large populations during unconventional emergencies are not well understood

[0003] In the current crowd monitoring method, the real-time monitoring of ordinary cameras and the thermal map imaging monitoring of infrared cameras are usually used to monitor different situations in application scenarios, because these two methods can only monitor the distribution of crowds in a single range , cannot macroscopically display the accurate distribution of crowd density in the venue, so that the management department cannot macroscopically observe the crowd distribution in the entire scene, thereby reducing the information perception ability and emergency response ability of the management department

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