CN111833351A - Traffic video monitoring management control system based on image data processing - Google Patents
Traffic video monitoring management control system based on image data processing Download PDFInfo
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- CN111833351A CN111833351A CN202010950162.7A CN202010950162A CN111833351A CN 111833351 A CN111833351 A CN 111833351A CN 202010950162 A CN202010950162 A CN 202010950162A CN 111833351 A CN111833351 A CN 111833351A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30236—Traffic on road, railway or crossing
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Abstract
The invention discloses a traffic video monitoring management control system based on image data processing, which comprises an image acquisition module, a video acquisition module and a video processing module, wherein the image acquisition module is used for shooting and monitoring pictures or videos of vehicle behaviors in road traffic, and comprises a plurality of image acquisition nodes and the like; according to the invention, the monitoring image sets of the monitoring points are partitioned, and then the probability of flaws appearing in the monitoring image sets is detected and sequenced through expectation and iteration algorithms, so that the waste of computing resources is reduced, the operation efficiency is improved, the urban road traffic management work is more effective, the important effects on ensuring traffic and maintaining normal traffic order are achieved, and the utilization rate of resources is improved.
Description
Technical Field
The invention belongs to the technical field of image data processing, and particularly relates to a traffic video monitoring management control system based on image data processing.
Background
Video monitoring is realized by cameras arranged on main roads and bus stations, and management departments can monitor the conditions of the sites in real time. However, in actual operation, when a conventional video monitoring software platform video monitoring system detects a picture quality defect, a picture set generated by an image quality detection script is divided randomly, the calculation efficiency is low, waste of calculation resources is easily generated, intelligent identification, early discovery and automatic alarm of abnormal behaviors in road traffic cannot be efficiently performed, and the monitoring accuracy is reduced.
Disclosure of Invention
The invention aims to overcome the defects and provide a traffic video monitoring management control system based on image data processing, which comprises:
the system comprises an image acquisition module, a data processing module and a data processing module, wherein the image acquisition module is used for shooting and monitoring pictures or videos of vehicle behaviors in road traffic and comprises a plurality of image acquisition nodes;
the central processing module is used for receiving the pictures or videos from the image acquisition module, storing the pictures or videos into a database, detecting the image quality, dividing the number of image acquisition nodes into two parts with the same or approximately the same number according to the principle of similar positions, taking the images acquired by each part as a set to obtain a first image acquisition set and a second image acquisition set, continuously equally dividing the first image acquisition set into a third image acquisition set and a fourth image acquisition set, continuously equally dividing the second image acquisition set into a ninth image acquisition set and a tenth image acquisition set, determining the detection sequence in the four sets, generating an image quality detection script in the image acquisition set in the first sequence according to the detection sequence of the four image acquisition sets, and then operating the script to detect the images, if an image imperfection is detected, the detection is suspended. If no image defect is detected and the generated image quality detection script exceeds a threshold value, generating an image quality detection script in the image acquisition set in the second sequence, then executing the script to perform image detection, wherein the threshold value refers to that the generation quantity of the detection script reaches a preset critical value, if the image defect is detected, suspending the detection, if the image defect is not detected and the generated image quality detection script exceeds the threshold value, generating the image quality detection script in the image acquisition set in the third sequence, then executing the script to perform the image detection, if the image defect is detected, suspending the detection, if the image defect is not detected in the image acquisition set in the fourth sequence and the generated image quality detection script exceeds the threshold value, returning to repeat the steps to traverse the four image acquisition sets again, if the image defect is not detected in the image acquisition set in the fourth sequence, if the generated image quality detection script exceeds the threshold value, generating an image quality detection script in the image acquisition set of the first sequence, then running the script to perform image detection, and suspending the detection until an image flaw is detected or the generated image quality detection script exceeds the threshold value;
the server module is used for storing the image quality and the analysis result and providing query for operators;
and the query module is used for sending a query request to the server module when a worker needs to query the relevant processing result, and the server module searches the corresponding storage number according to the query request and pushes the storage number to the query port address specified by the query module.
The invention has the following effects: according to the method, the monitoring image sets of the monitoring points are partitioned, and then the probability of flaws appearing in the monitoring image sets is detected and sequenced through the mean value calculation and the cyclic calculation algorithm, so that the waste of calculation resources is reduced, the operation efficiency is improved, the urban road traffic management work is more effective, the important effect on ensuring traffic and maintaining normal traffic order is achieved, and the utilization rate of resources is improved.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
The invention is further illustrated by the following specific examples:
a traffic video monitoring management control system based on image data processing comprises:
the system comprises an image acquisition module, a data processing module and a data processing module, wherein the image acquisition module is used for shooting and monitoring pictures or videos of vehicle behaviors in road traffic and comprises a plurality of image acquisition nodes;
the central processing module is used for receiving the pictures or videos from the image acquisition module, storing the pictures or videos into a database, detecting the image quality, dividing the number of image acquisition nodes into two parts with the same or approximately the same number according to the principle of similar positions, taking the images acquired by each part as a set to obtain a first image acquisition set and a second image acquisition set, continuously equally dividing the first image acquisition set into a third image acquisition set and a fourth image acquisition set, continuously equally dividing the second image acquisition set into a ninth image acquisition set and a tenth image acquisition set, determining the detection sequence in the four sets, generating an image quality detection script in the image acquisition set in the first sequence according to the detection sequence of the four image acquisition sets, and then operating the script to detect the images, if an image imperfection is detected, the detection is suspended. If no image defect is detected and the generated image quality detection script exceeds a threshold value, generating an image quality detection script in the second sequence of image acquisition sets, then executing the script to perform image detection, if the image defect is detected, suspending the detection, if the image defect is not detected and the generated image quality detection script exceeds the threshold value, wherein the threshold value refers to the generation number of the detection scripts reaching a preset critical value, generating the image quality detection script in the third sequence of image acquisition sets, then executing the script to perform the image detection, if the image defect is detected, suspending the detection, if the image defect is not detected in the fourth sequence of image acquisition sets and the generated image quality detection script exceeds the threshold value, returning to repeat the steps to traverse the four image acquisition sets again, if the image defect is not detected in the fourth sequence of image acquisition sets, if the generated image quality detection script exceeds the threshold value, generating an image quality detection script in the image acquisition set of the first sequence, then running the script to perform image detection, and suspending the detection until an image flaw is detected or the generated image quality detection script exceeds the threshold value;
the server module is used for storing the image quality and the analysis result and providing query for operators;
and the query module is used for sending a query request to the server module when a worker needs to query the relevant processing result, and the server module searches the corresponding storage number according to the query request and pushes the storage number to the query port address specified by the query module.
The determination of the detection sequence in the four sets in the central processing module is specifically as follows: presetting the probability of detecting image flaws in the third image acquisition set and the fourth image acquisition set as
And
presetting the probability of detecting image flaws in the ninth image acquisition set and the tenth image acquisition set as
And
recording image quality detection scripts for detecting image defects in the third image acquisition set and the fourth image acquisition set respectively as
And
the image quality detection scripts for detecting image defects in the ninth image acquisition set and the tenth image acquisition set are respectively
And
according toThe mean calculation is calculated by the following formula:
wherein E () represents the mean value calculation,ifor the number of times of the loop calculation,
is shown iniWhen calculating the minor loop
The predicted value of (a) is determined,
detecting the number of scripts for detecting image quality defects in the first image acquisition set,
detecting the number of scripts for detecting image quality defects in the second image acquisition set,
indicating a probability of a condition in the first image acquisition set for which the image quality inspection script detects a flaw,
,
to, for
Performing cyclic calculation until convergence to obtain a convergence value
Comparison of
And 1-
Is large or small, if
>1－
Then the first image acquisition set is detected first, otherwise the second image acquisition set is detected first.
The third image acquisition set is continuously and equally divided into a fifth image acquisition set and a sixth image acquisition set, the fourth image acquisition set is continuously and equally divided into a seventh image acquisition set and an eighth image acquisition set, and the probability of detecting image defects in the third image acquisition set is
The probability of detecting image defects in the fourth image collection set is
Recording the number of image quality inspection scripts for detecting image defects
And
the image quality detection scripts for detecting image defects in the fifth image acquisition set and the sixth image acquisition set are respectively
And
the probability of detecting image defects is
And
(ii) a The image quality detection scripts for detecting the image defects in the seventh image acquisition set and the eighth image acquisition set are respectively
And
the probability of detecting the flaw is respectively
And
，
or the probability of the condition that the image quality detection script detects the flaw and belongs to the third image acquisition set can be expressed
Circularly calculating to converge to obtain a convergence value
Comparison of
And 1-
According to the judgment modes of the first image acquisition set and the second image acquisition set, determining the detection sequence of the third image acquisition set and the fourth image acquisition set.
The ninth image acquisition set is continuously and equally divided into an eleventh image acquisition set and a twelfth imageThe collection set, the tenth image collection set is continuously and equally divided into a thirteenth image collection set and a fourteenth image collection set, and the probability of detecting image flaws in the ninth image collection set is
The probability of detecting image defects in the tenth image acquisition set is
Recording the number of image quality inspection scenarios for detecting image defects
And
the image quality detection scripts for detecting image defects in the eleventh image acquisition set and the twelfth image acquisition set are respectively
And
the probability of detecting image defects is
And
(ii) a The image quality detection scripts for detecting image defects in the thirteenth image acquisition set and the fourteenth image acquisition set are respectively
And
the probability of detecting the flaw is respectively
And
，
or the probability of the condition that the image quality detection script detects the flaw and belongs to the ninth image acquisition set can be expressed
Calculating to a convergence value in a loop
Comparison of
And 1-
Determining the detection sequence of the ninth image acquisition set and the tenth image acquisition set according to the judgment modes of the first image acquisition set and the second image acquisition set. The video image is continuously polled for image quality detection and judgment, and the image quality is automatically analyzed and stored. The image quality detection is as follows: and detecting mosaic indexes, definition indexes and color cast.
Claims (6)
1. A traffic video monitoring management control system based on image data processing is characterized by comprising:
the system comprises an image acquisition module, a data processing module and a data processing module, wherein the image acquisition module is used for shooting and monitoring pictures or videos of vehicle behaviors in road traffic and comprises a plurality of image acquisition nodes;
the central processing module is used for receiving the pictures or videos from the image acquisition module, storing the pictures or videos into a database, detecting the image quality, dividing the number of image acquisition nodes into two parts with the same or approximately the same number according to the principle of similar positions, taking the images acquired by each part as a set to obtain a first image acquisition set and a second image acquisition set, continuously equally dividing the first image acquisition set into a third image acquisition set and a fourth image acquisition set, continuously equally dividing the second image acquisition set into a ninth image acquisition set and a tenth image acquisition set, determining the detection sequence in the four sets, generating an image quality detection script in the image acquisition set in the first sequence according to the detection sequence of the four image acquisition sets, and then operating the script to detect the images, if no image defect is detected and the generated image quality detection script exceeds a threshold value, generating an image quality detection script in the image acquisition set of the second sequence, then running the script to perform image detection, if the image defect is detected, pausing the detection, if the image defect is not detected and the generated image quality detection script exceeds the threshold value, generating the image quality detection script in the image acquisition set of the third sequence, then running the script to perform the image detection, if the image defect is detected, pausing the detection, if the image defect is not detected in the image acquisition set of the fourth sequence and the generated image quality detection script exceeds the threshold value, returning to repeat the steps to traverse the four image acquisition sets again, if no image defect is detected in the image acquisition sets in the fourth sequence and the generated image quality detection script exceeds the threshold value, generating an image quality detection script in the image acquisition sets in the first sequence, then running the script to perform image detection, and suspending the detection until the image defect is detected or the generated image quality detection script exceeds the threshold value;
the server module is used for storing the image quality and the analysis result and providing query for operators;
and the query module is used for sending a query request to the server module when a worker needs to query the relevant processing result, and the server module searches the corresponding storage number according to the query request and pushes the storage number to the query port address specified by the query module.
2. The traffic video monitoring management and control system based on image data processing according to claim 1, wherein the central processing module determines that the detection sequence in the four sets is specifically: presetting the probability of detecting image flaws in the third image acquisition set and the fourth image acquisition set as
And
presetting the probability of detecting image flaws in the ninth image acquisition set and the tenth image acquisition set as
And
recording image quality detection scripts for detecting image defects in the third image acquisition set and the fourth image acquisition set, recording image quality detection scripts for detecting image defects in the ninth image acquisition set and the tenth image acquisition set,ifor the number of times of the loop calculation,
is shown iniWhen calculating the minor loop
The predicted value of (a) is determined,
indicating a probability of a condition in the first image acquisition set for which the image quality inspection script detects a flaw,
，
to, for
Performing cyclic calculation until convergence to obtain a convergence value
Comparison of
And 1-
Is large or small, if
>1－
Then the first image acquisition set is detected first, otherwise the second image acquisition set is detected first.
3. The traffic video monitoring management and control system based on image data processing according to claim 1 or 2, characterized in that: continuously and equally dividing the third image acquisition set into a fifth image acquisition set and a sixth image acquisition set, continuously and equally dividing the fourth image acquisition set into a seventh image acquisition set and an eighth image acquisition set, and presetting the probability of detecting image flaws in the fifth image acquisition set and the sixth image acquisition set as
And
(ii) a The probability of detecting flaws in the seventh image acquisition set and the eighth image acquisition set is respectively
And
，
the conditional probability of the image quality detection script detecting the flaw and belonging to the third image acquisition set is expressed, and
circularly calculating to converge to obtain a convergence value
Comparison of
And 1-
According to the judgment modes of the first image acquisition set and the second image acquisition set, determining the detection sequence of the third image acquisition set and the fourth image acquisition set.
4. The traffic video monitoring management and control system based on image data processing according to claim 1 or 2, characterized in that: the ninth image acquisition set is continuously and equally divided into an eleventh image acquisition set and a twelfth image acquisition set, the tenth image acquisition set is continuously and equally divided into a thirteenth image acquisition set and a fourteenth image acquisition set, and the probability of detecting image defects in the eleventh image acquisition set and the probability of detecting image defects in the twelfth image acquisition set are preset to be respectively
And
(ii) a The probability of detecting defects in the thirteenth image acquisition set and the fourteenth image acquisition set is respectively
And
，
the condition probability of the image quality detection script detecting the flaw and belonging to the ninth image acquisition set is shown, for
Calculating to a convergence value in a loop
Comparison of
And 1-
Determining the detection sequence of the ninth image acquisition set and the tenth image acquisition set according to the judgment modes of the first image acquisition set and the second image acquisition set.
5. The traffic video monitoring management and control system based on image data processing according to claim 4, characterized in that: the video image is continuously polled for image quality detection and judgment, and the image quality is automatically analyzed and stored.
6. The traffic video monitoring management and control system based on image data processing as claimed in claim 5, wherein the image quality detection is: and detecting mosaic indexes, definition indexes and color cast.
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| JP5873764B2 (en) * | 2012-06-06 | 2016-03-01 | 株式会社Ｓｃｒｅｅｎホールディングス | Defect image presentation method |
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