Method and device for counting passenger flow volume

Abstract

The invention provides a method and device for counting the passenger flow volume. The method comprises the steps of detecting width and height information of target frames in a real-time monitoring image of a region to be counted through the Faster R-CNN (Faster Region with Convolutional Neural Network); acquiring a width range and a height range of a preset number of target frames, and determining a size filtering interval by combining a preset empirical coefficient; filtering target candidate frames detected by an RPN (Region Proposal Network) in the real-time monitoring image of the regionto be detected according to the size filtering interval in the subsequent passenger flow volume counting, acquiring target candidate frames located in the size filtering interval, and inputting the acquired target candidate frames into a Fast R-CNN (Fast Region with Convolutional Neural Network) to obtain pedestrian target frames; tracking each pedestrian target frame in the region to be countedto form a tracking trajectory of each pedestrian target frame; and performing counting when the tracking trajectories meet a counting trigger condition. The method and device provided by the inventioncan greatly improve the accuracy of target detection and can be applicable to wider and more complex application scenarios.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method and device for counting passenger flow. Background technique [0002] Passenger flow statistics systems have been deployed in many public places (such as shopping malls, parks, etc.) to obtain real-time passenger flow in a certain area, and to determine whether to take dredging measures based on the statistical results to prevent traffic accidents caused by large passenger flow. Stampede and other dangerous events. [0003] Commonly used passenger flow statistics methods include infrared counting method and video detection method. Among them, the passenger flow statistics method based on video detection technology generally adopts patterns such as Adaboost (an iterative algorithm) or SVM (Support Vector Machine, Support Vector Machine) to recognize the head or head and shoulders in the image collected in real time, according to the head or head and sh...

AI Technical Summary

Problems solved by technology

[0004] In view of this, this application provides a method and device for counting passenger flow to solve the technical problem in the prior art that the accuracy of passenger flow statistics is low when crowds are dense

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