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Traffic flow detection method based on machine vision

A technology of traffic flow and detection method, which is applied in the field of reconstruction of real road background, and can solve problems such as incapability of automatic perception and lack of intelligence

Inactive Publication Date: 2014-08-06
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In the traditional mode of transportation, many tasks are done manually or human labor accounts for a large proportion. For example, in the monitoring system, the camera can obtain the information of a certain location, but it cannot automatically perceive what happened. Although there is monitoring system, but most of the work needs to be done by humans, which is not intelligent enough

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  • Traffic flow detection method based on machine vision
  • Traffic flow detection method based on machine vision
  • Traffic flow detection method based on machine vision

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0038] see figure 1 , a traffic flow detection method based on machine vision. First, the image sequence captured by the camera is obtained, and the real road background is reconstructed based on this. Difference image, and then use the binarization method to process the difference image, extract the foreground target, identify which targets belong to the vehicle by classifying the foreground target, and then count the vehicles passing through the detection area to achieve the goal of traffic statistics.

[0039] in figure 2 It is a real road background reconstruction method. This method is based on the image sequence captured by the camera. On the basis of the pre-background reconstructed by the average background modeling method, the background is reconstructed by using the similarity between the current frame and the pre-background. The d...

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Abstract

The invention discloses a traffic flow detection method based on machine vision. The method is based on images acquired by a camera on a road and includes the steps that a real road background image is rebuilt according to a continuous multiframe image sequence; difference operation is conducted on a current-frame image and the background frame image, and then a difference image is acquired; the difference image is divided into a foreground and a background through a binarization method, target classification is conducted on a divided foreground target, vehicle targets in the foreground target are recognized, and eventually vehicles are counted. Through the traffic flow detection method, counting of road traffic flow is achieved, the targets are divided through a background difference method, and target extraction accuracy and traffic flow detection accuracy are improved.

Description

technical field [0001] The invention relates to the fields of intelligent transportation, machine vision, image processing and the like, and in particular to a reconstruction method of a real road background based on image processing. Background technique [0002] Intelligent Transportation System (ITS) is an advanced integrated traffic management system, which is the current and future development direction of the world. Intelligent transportation is the intelligent management of the current traffic. In the traditional mode of transportation, many tasks are done manually or human labor accounts for a large proportion. For example, in the monitoring system, the camera can obtain the information of a certain location, but it cannot automatically perceive what happened. Although there is monitoring system, but most of the work still needs to be done by humans, which is not intelligent enough. Intelligent transportation systems cover many aspects, such as traffic flow, vehicl...

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Application Information

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IPC IPC(8): G08G1/065G06K9/54
Inventor 王晓斌侯孟书何瑞屈鸿王静
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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