Bus passenger traffic statistical method based on stereoscopic vision and system therefor

A technology of stereo vision and statistical methods, applied in computing, instruments, data processing applications, etc., can solve problems such as frequent crowding, complex changes in background light, and unfavorable foreground extraction

Inactive Publication Date: 2006-02-08
ZHEJIANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] 1) The background changes complexly with the light, which is not conducive to the extraction of the foreground (human head);
[0005] 2) In the case of peak passenger flow congestion, people are closely connected, and the method based on two-dimensional information is difficult to accurately distinguish several people who are crowded together, and the crowding situation is very frequent;
[0006] 3) Due to the existence of the steps of the bus, the head of the same person appears to change in size from the monocular camera at a fixed position when getting on and off the bus, which is very unfavorable for recognition and tracking

Method used

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  • Bus passenger traffic statistical method based on stereoscopic vision and system therefor
  • Bus passenger traffic statistical method based on stereoscopic vision and system therefor
  • Bus passenger traffic statistical method based on stereoscopic vision and system therefor

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Embodiment Construction

[0018] Such as figure 1 As shown, the bus passenger flow statistics system based on stereo vision: the processor is respectively connected with the control circuit, network transmission module, protocol conversion module, and memory; the control circuit is connected with the binocular image acquisition module and the network transmission module respectively; the network transmission module It is connected with the network interface, and the memory is connected with the binocular image acquisition module. In order to ensure real-time processing, the image resolution should not be too large, do not use color images, and directly obtain grayscale images from the camera. Use processor on-chip SRAM or external expansion SRAM. Compared with the general image processing algorithm, the stereo vision algorithm has a large amount of computation, many floating-point operations, and a large demand for memory. In order to ensure real-time requirements, the choice of processor is very impo...

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Abstract

The invention discloses a bus passenger movement statistics method and system based on stereo copy. It adopts stereo copy apparatus and algorithm. The stereo copy image collector is positioned on the top of the bus door to real time collect the passenger on-and-off image; the controller adopts stereo copy algorithm to process the two eyes image to obtain the image depth information and obtain the passenger head location, size and grey information by compounding the single eye image processing information; then the following part dose real time following with the passenger head information to obtain the number of the on-and-off passengers so as to obtain the passenger movement information.

Description

Technical field: [0001] The invention relates to bus passenger flow statistics, in particular to a method and system for bus passenger flow statistics based on stereo vision. Background technique: [0002] In recent years, public places such as exhibition halls, stadiums, libraries, airports, subways and buses have installed intelligent monitoring and dispatching systems. For these systems, the importance of real-time and accurate passenger flow information is self-evident. At present, the main means of passenger flow information statistics are infrared occlusion system and pressure sensor system. The advantages of these two traditional methods are simple implementation and low cost, but their main disadvantages are inaccurate statistics, and they are powerless to solve the congestion situation during peak passenger flow. [0003] Compared with other information, the capacity of image information is larger and richer. Therefore, the rise and continuous development of image p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07C9/00G06Q90/00
Inventor 刘济林于海滨沈晔湖
Owner ZHEJIANG UNIV
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