Research on Pedestrian Detection,Tracking and DistanceMeasurement Based on Deep Learning
Characterized The sudden outbreak of infectious diseases has attracted widespread at-tention.One of the best ways to prevent infection is to avoid contact with infectious disease vi-ruses as much as possible.The most direct way is to control the distance,that is,to maintain so-cial distance between people.Based on deep learning,a method for crowd target detection and tracking as well as distance measurement is proposed.Deep learning-based algorithms have the advantages of high accuracy,strong real-time performance,strong generalization ability,certain anti-interference ability,and good scalability.Due to the camera's inclination angle relative to the ground,rather than pointing directly downward(orthographic projection),the text uses a perspective transformation algorithm to correct the image into an orthographic projection form,allowing us to determine the distance between objects.Ghostnet lightweight backbone network is used as the basic structure of the Backbone network,which simplifies the network structure,reduces the computational load and parameter quantity of the model,but also ensures the per-formance of detection.
deep learningobject detectionobject trackingperspective transformation algorithm
万方数据
维普
