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Video monitoring image based method for automatically distinguishing traffic states of roads

A technology for video surveillance and road traffic, used in image analysis, image data processing, CCTV systems, etc.

Inactive Publication Date: 2010-06-09
南京北斗城际在线信息股份有限公司
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the problem of more accurately monitoring and judging road traffic conditions, the present invention proposes a method for automatically judging road traffic conditions based on video monitoring images, including the following steps:

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  • Video monitoring image based method for automatically distinguishing traffic states of roads
  • Video monitoring image based method for automatically distinguishing traffic states of roads
  • Video monitoring image based method for automatically distinguishing traffic states of roads

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Embodiment Construction

[0050] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0051] The method of the present invention can be implemented with software embedded in the traffic monitoring system, and its specific method flow is as follows figure 1 shown.

[0052] Step0: Obtain video surveillance images

[0053] Step1: Based on the adaptive mixed Gaussian model, the spatio-temporal background model of the video surveillance image is established.

[0054] Step2: Take the target detection method based on decision fusion to extract foreground information.

[0055] Step3: Use the Blob analysis method to extract the feature information of each Blob.

[0056] Step4: Use the distance and area information of the blob to identify the vehicle. If there is a car, save the vehicle feature information and go to step5; if there is no car, go to step9.

[0057] Step5: Update the background model with the background information tha...

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Abstract

The invention relates to a video monitoring image based method for automatically distinguishing the traffic states of roads, comprising the following steps of: detailedly classifying and analyzing video monitoring videos starting with technical levels, i.e. background modeling, foreground extraction, vehicle identification, multi-target tracking, and the like; and finally distinguishing the traffic states of the roads provided with monitoring cameras by setting corresponding parameter values. The invention greatly enhances the accuracy of the automatic identification of the traffic states.

Description

technical field [0001] The invention relates to the application of video detection technology in the traffic field, in particular to a method for real-time judging of road traffic conditions based on video monitoring images. Background technique [0002] The identification of road traffic status is the basis for urban intelligent transportation system to release road condition information and guide traffic. At present, the identification of road traffic status is mainly based on the analysis and processing of floating car data, supplemented by a large number of video surveillance resources in the city to correct and supplement the road traffic status by means of manual observation. However, the accuracy of the traffic state discrimination algorithm based on floating car data is directly related to the number of floating cars and the operating status, so it cannot achieve high accuracy, and the method of manual observation and video monitoring has a very high impact on observ...

Claims

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Application Information

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IPC IPC(8): H04N7/18G06T7/20
Inventor 储浩李建平
Owner 南京北斗城际在线信息股份有限公司
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