Method for counting passenger flow of buses in real time

A statistical method and bus technology, applied in the field of pattern recognition, can solve the problems of time-consuming optical flow calculation, and the distribution of optical flow is not very reliable and accurate.

Inactive Publication Date: 2012-06-13
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to noise, multiple light sources, shadows, transparency, and occlusion, the calculated optical flow field distribution is not very reliable and accurate.
At the same time, the calculation of the optical flow field is also very time-consuming.

Method used

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  • Method for counting passenger flow of buses in real time
  • Method for counting passenger flow of buses in real time
  • Method for counting passenger flow of buses in real time

Examples

Experimental program
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Embodiment Construction

[0045] The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0046] figure 1 The implementation flow chart of the present embodiment includes three steps of target detection, target tracking, target behavior analysis and passenger flow statistical counting. The present embodiment analyzes the input video image 1 t , only the brightness information of the image (ie, grayscale image) is used.

[0047] In the object detection step, the following processes are included:

[0048] 1. Train a two-class target linear classifier: manually collect multiple images of different scales that only include passenger head information from the captured video image data of bus passenger flow as a set of positive samples, and collect images of corresponding scales that do not include head information. As a negative sample set, the positive sample set and the negative sample set together constitute the training sample set....

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Abstract

The invention provides a method for counting passenger flow of buses in real time, which adopts means of machine learning, multi-target detection and tracking, target behavior analysis and the like, and belongs to the technical field of pattern recognition. The method comprises the following concrete steps: detecting passenger targets by analyzing shape information and texture information of passenger heads in video images, wherein a column diagram in a gradient direction is used for representing the shape information, and a column diagram in a local binary mode is used for representing the texture information; then, accurately positioning passengers by adopting the target tracking policy combining gray level cross-correlation matching tracking and mean translation algorithm searching tracking; and finally, judging the behavior characteristics of the passengers by analyzing the moving tracks of the passengers, thereby accurately counting the passenger flow of buses. The practice showsthat the method provided by the invention can provide an accurate and reliable basis for realizing intelligent scheduling of buses for bus companies, analyzing the acceptability of mobile media advertisements in buses, and the like, and the invention has very high practical value.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a method for real-time bus passenger flow statistics. Background technique [0002] With the rapid development of my country's economy, various demands for transportation have increased significantly, and the connection between transportation and social and economic life has become increasingly close. Data, thereby reducing the use of buses and improving the safety of road traffic. Therefore, the development of vehicle-mounted mobile value-added services that can improve the current driving environment has become an urgent need for the harmonious development of my country's economy and society. Bus passenger flow statistics is one of them. By obtaining the passenger flow of the road section in real time during this period, the bus company can make a more reasonable dispatch of the bus. On the other hand, the bus advertising investor can also conduct a detai...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G07C9/00G06K9/00
Inventor 桑农黄朝露陈景东刘乐元罗大鹏唐奇玲高常鑫王海王强李驰
Owner HUAZHONG UNIV OF SCI & TECH
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