Road congestion detection method based on video image processing

A detection method and video image technology, applied in the direction of still image data retrieval, traffic flow detection, road vehicle traffic control system, etc., can solve the problems of low detection rate, poor real-time performance, poor processing ability in complex environments, etc., and achieve effective improvement sex, the effect of avoiding traffic accidents

Active Publication Date: 2019-01-11
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the present invention provides a road congestion detection method based on video image processing to solve the problems of high cost, poor real-time performance, and inaccurate road congestion detection algorithm in the prior art. It is easy to maintain and other disadvantages, and the traditional road congestion detection method based on video image processing is subject to front-end scene changes, poor processing ability for complex environments, and low detection rate.

Method used

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  • Road congestion detection method based on video image processing
  • Road congestion detection method based on video image processing
  • Road congestion detection method based on video image processing

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] Embodiment 1: as figure 1 As shown, the specific steps of a road congestion detection method based on video image processing are:

[0049] Step1: Obtain the original image data R from the road monitoring system; the source of the original image data R can be the camera equipment (including but not limited to the gun camera and the dome camera) installed directly on the road, or the monitoring center has been deployed The streaming media platform can be real-time data from other road monitoring systems; raw data R includes pictures (single or multiple), videos and network streams.

[0050] Step2: Preprocess the original image data R to obtain the processed data R';

[0051] Step3: Analyze the characteristics of the processed data R′, extract its characteristic attributes Q, and the characteristic attributes Q include road structured information Q 1 and vehicle structured information Q 2 ; Use the internal private data type processed in Step 2 as a prototype, use the v...

Embodiment 2

[0084] Embodiment 2: as figure 2 As shown, in step Step2, different preprocessing methods will be performed according to the type of raw data R, and the specific processing is as follows:

[0085] If the type of the acquired original image data R is in the form of pictures, set the image correlation threshold γ to 0, that is, γ=0, and then set all the data in the original image data R as internal private data types, and perform Step3 and subsequent operations;

[0086] If the acquired original image data R is in the form of a video, set the image correlation threshold γ to 1, that is, γ=1, and then read each frame of the original image data R and convert it into a picture form, which is set as internal Private data types, and perform Step3 and subsequent operations on them;

[0087] If the type of the acquired original image data R is in the form of network streaming, set the image correlation threshold γ to 0.5, that is, γ=0.5, and open the buffer pool; then adopt the para...

Embodiment 3

[0089] Embodiment 3: When judging which lane the vehicle specifically belongs to in step Step4, there will be various situations, and the comprehensive road structured information Q is required. 1 and vehicle structured information Q 2For consideration, the extraction of key values ​​refers to the data information required for judgment in different situations, such as determining the ownership of a vehicle based on the lane, assuming that the lane is a straight lane, and the vehicle changes lanes, passing the vehicle The color of the vehicle or the license plate and other body information to determine whether it is the same vehicle. If it is the same vehicle, the last position of the vehicle is used to determine the lane it belongs to; if there is a change in the direction of the lane, such as a turn, and The vehicle driving on this lane at the beginning changed lanes but did not turn accordingly, so the final position of the vehicle needs to be used as the criterion for judgm...

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Abstract

The invention relates to a road congestion detection method based on video image processing, belonging to the technical field of road traffic safety. The invention uses the existing road monitoring system to obtain original data, and performs the steps of preprocessing, feature analysis and the like to extract the characteristic attributes of the original data; then a correlation between vehiclesand lanes are obtained by means of a filtering algorithm through road structuring information and vehicle structuring information; then an area congestion index, a lane congestion index and a vehicledistance congestion index are calculated; and finally, decision-making analysis is carried out according to a threshold system, and the decision-making results are pushed to an information release platform and a central control decision-making platform. According to the invention, the congestion condition of the road is accurately analyzed in complex scenarios by using the method based on video image processing; and the real-time supervision of road information helps the traffic control department to take appropriate control measures before the congestion situation occurs, which avoids the occurrence of traffic accidents and brings great convenience to travel of people.

Description

technical field [0001] The invention relates to a road congestion detection method based on video image processing, which belongs to the technical field of road traffic safety. Background technique [0002] Roads spread throughout every corner of our country, and are an important medium for promoting regional economic development, improving people's living standards, and improving people's consumption levels. With the acceleration of my country's urbanization process, various types of vehicles have increased rapidly, and the ensuing road congestion has become extremely prominent. Coupled with the complexity of my country's roads, it covers highways, urban roads, rural roads, etc. , if the current road congestion cannot be quickly and accurately fed back, it will cause great inconvenience to people's travel, and it will induce traffic accidents, cause road network paralysis, and cause serious social impact on public safety. [0003] At this stage, there are mainly two solutio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/04G08G1/07G08G1/097G06F16/50G06K9/00
CPCG08G1/0104G08G1/0125G08G1/04G08G1/07G08G1/097G06V20/54
Inventor 邵宗凯董人菘
Owner KUNMING UNIV OF SCI & TECH
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