Dynamic self-adaptive public transport passenger flow statistic device based on video recognition

Abstract

The invention discloses a dynamic self-adaptive public transport passenger flow statistic device based on video recognition. The device is characterized by comprising a binocular camera and a CPU (Central Processing Unit), wherein the binocular camera is arranged above a vehicle door in a perpendicular downward manner and used for carrying out image acquisition on passengers entering the vehicle door; the CPU is in signal connection with the binocular camera and is used for identifying features, acquired by the binocular camera, on an image and obtaining passenger flow statistic results respectively in a passenger flow peak period and a passenger flow sparse period by adopting two algorithms, wherein the feature points comprises double shoulders and the head. The dynamic self-adaptive public transport passenger flow statistic device has the beneficial effects that the transparent capacity peak period is comprehensively considered by combing image recognition algorithms, different image recognition algorithms are applied against different periods, different weighted values are given against different algorithms to accordingly judge the current passenger flow, and therefore the statistic accuracy rates in the passage flow peak period and the sparse period are greatly increased.

Description

technical field [0001] The invention relates to a passenger flow counting device, in particular to a dynamic self-adaptive bus passenger flow counting device based on video recognition, which belongs to the field of image recognition. Background technique [0002] Real-time and accurate statistics of bus passenger flow can provide a powerful reference for bus companies to dynamically dispatch bus vehicles in real time. [0003] At present, there are mainly two types of devices for counting passenger flow: one is a sensor-based passenger flow counting device, and the other is an image recognition-based passenger flow counting device. [0004] The sensor-based passenger flow counting device is to place a certain number of pressure sensors on the pedals of the vehicle, and judge the number of tramplers according to the change of the pedal pressure. When the flow of people is sparse, the statistical effect is better, but when the crowd is dense and many people step on the pedal...

AI Technical Summary

Problems solved by technology

When the crowd is dense and many people step on the pedal at the same time, this type of passenger flow counting device has a greater accuracy than the sensor-based passenger flow counting device, but when the flow of people is sparse, simple head feature recognition often has misjudgment phenomena, such as : It is easy to identify spherical objects, toys and other items the size of a human head as human heads

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