People stream detecting method based on laser sensor depth image

Abstract

Firstly, a laser sensing camera is used for shooting deep images of a multiframe which is idle in a detected region so as to obtain a topographic map of the ground of the detected region; then, in the real people stream detecting environment, actual height of each detected point in the detected region is obtained. A height lattice image of each point of the detected region is divided into a plurality of layers; in each layer, the lattice image undergoes classification and collection by adopting a self-iteration organization analyzing technique, and a target in each layer is separated. With a start from the first layer, the targets of the layers are accumulated or combined in an up-down manner, and a pedestrian target in each frame depth image is detected. A multiframe image target is tracked so as to finally achieve the aim of detecting information such as density, speed, flow rate, and the like of the people stream in the detected region in real time. When the external detection environment changes, the method can still effectively detect the people stream; in addition, the method also has the advantages of convenient and simple calculation, good instantaneity, synchronous people stream monitoring, and the like.

Description

technical field [0001] The invention belongs to the technical fields of image processing and pattern recognition, and relates to a human flow detection method that can be widely used in large public places such as railway stations, airports, subway stations, large convention centers and sidewalks. Background technique [0002] With economic growth, accelerated urbanization and large-scale population movement within or between urban areas, the density of people in some large public places such as railway stations, airports, subway stations, and sidewalks has increased sharply. For these public service places effective public management of the With the maturity of real-time monitoring technology, electronic detection technology, communication technology and information science and technology, the development and application of real-time crowd flow information monitoring and management system is getting more and more attention in the field of public management, and it has shown...

AI Technical Summary

Problems solved by technology

In the actual human flow information detection, this method fundamentally solves the problem that the detection means in the video detection and infrared detection depends on the weather, light and the size of the detection object. When the external detection environment changes, the method can still effectively detect the pedestrian flow. detection

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