Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system

A moving target and statistical system technology, which is applied in the field of moving target extraction and multi-target segmentation used in the bus passenger flow statistical system, can solve the problems of unstable target extraction and segmentation, affecting the real-time performance of the system, and low on-site accuracy. Achieve the effect of good real-time performance, simple method and accurate segmentation results

Inactive Publication Date: 2010-09-29
UNIV OF SHANGHAI FOR SCI & TECH
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Problems solved by technology

However, the above target extraction and multi-target segmentation methods generally have shortcomings such as low on-site accuracy,

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  • Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system
  • Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system
  • Method for extracting moving objects and partitioning multiple objects used in bus passenger flow statistical system

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[0016] Applying the moving target extraction and multi-target segmentation method proposed by the present invention in bus passenger flow statistics, by analyzing real-time image data, the number of people getting on and off the bus at each time period at each station can be obtained, and this result is fed back to the monitoring center to achieve the optimization of public transportation resources Scheduling. The specific implementation is as follows: a camera is installed at the door of the bus to obtain image information of passengers getting on and off the bus. Process the collected continuous frame image sequence, separate the passenger target, get its detailed information (number, area, location, etc.), establish a target tracking chain for each passenger entering the field of view, and track the passenger until he walks out of the camera The scope of the field of view, and finally complete automatic passenger counting.

[0017] Such as figure 1 As shown, the hardware of t...

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Abstract

The invention relates to a new method for extracting moving objects and partitioning multiple objects, in particular to a method for extracting moving passengers and partitioning images applied to bus passenger statistics. The method comprises the following steps of: acquiring images; preprocessing the acquired images; detecting and partitioning moving objects; tracking and calculating the moving objects and the like. A method for extracting the moving objects based on inter-frame difference of edge information can keep the profile of the moving objects, so subsequent processes, such as opening filling, evaluation of the central position of the objects and the like are more correct and more convenient. Multiple moving objects are partitioned by a projection method, so a partition result is correct, and the method is simple and convenient and has high instantaneity.

Description

technical field [0001] The invention relates to a new moving target extraction and multi-target segmentation method, in particular to a moving passenger extraction and image segmentation method applied in bus passenger flow statistics. Background technique [0002] There are many target detection and image segmentation methods applied to passenger flow counting, which can be divided into two categories according to the angle of camera installation in the passenger flow counting system. One type is top-down shooting, which can avoid mutual occlusion of human bodies in the image to a certain extent. The other type is head-up shooting, the purpose of which is to obtain the facial information of the moving human body in the image. In the moving target extraction and target segmentation of bus passenger flow statistics, there are many cases where the camera adopts top-down shooting. Yu Haibin et al. proposed a human detection and tracking method based on head feature extraction...

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Application Information

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IPC IPC(8): G06T7/20G06T5/00H04N7/18G07C9/00
Inventor 应捷邵娜田牛
Owner UNIV OF SHANGHAI FOR SCI & TECH
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