CN107609498B - Data processing method of computer monitoring system - Google Patents

Data processing method of computer monitoring system Download PDF

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CN107609498B
CN107609498B CN201710779535.7A CN201710779535A CN107609498B CN 107609498 B CN107609498 B CN 107609498B CN 201710779535 A CN201710779535 A CN 201710779535A CN 107609498 B CN107609498 B CN 107609498B
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monitoring
monitoring system
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CN107609498A (en
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沈张果
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Huzhou University
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Abstract

The invention discloses a data processing method of a computer monitoring system, which adopts a brand-new data processing method to realize automatic identification and judgment processing of computer monitoring data, and judges whether suspicious problems exist in images within a time T or not by segmenting image information and comparing the difference between two images within the time interval T.

Description

Data processing method of computer monitoring system
Technical Field
The invention relates to a data processing method of a computer monitoring system, belonging to the technical field of computer monitoring data processing.
Background
The intelligent monitoring system adopts image processing, mode recognition and computer vision technology, filters useless or interference information of video pictures by means of powerful data processing capacity of a computer through an intelligent video analysis module added in the monitoring system, automatically recognizes different objects, analyzes and extracts key useful information in a video source, quickly and accurately positions an accident site, judges abnormal conditions in the monitored pictures, sends out an alarm or triggers other actions in a fastest and optimal mode, and therefore, the intelligent monitoring system effectively performs pre-warning, in-situ processing and timely evidence obtaining after the accident.
At present, an intelligent monitoring system is generally implemented by adopting a mode of setting a camera, although a plurality of methods are used for processing computer data at present, most of the methods still cannot realize automatic identification of suspicious objects, and identification is generally unstable, so that an automatic identification process for realizing monitoring information data needs to be designed so as to realize automatic monitoring.
Aiming at the problems, the invention provides a data processing method of a computer monitoring system, so as to ensure the automatic identification of data monitoring information and improve the data processing capability.
Disclosure of Invention
In order to achieve the purpose, the invention provides the following technical scheme: a data processing method of a computer monitoring system is characterized by comprising the following steps:
(1) the computer selects an image to be analyzed at intervals of time T according to the monitoring picture sent by the monitoring monitor;
(2) the data processor divides the image to be analyzed at the time t into m × n blocks, and respectively calculates the average value of the pixel gray scale of the i × j block
Figure DEST_PATH_IMAGE001
Then, the data processor performs the same segmentation process on the image to be analyzed at the time T + T, divides the image into m × m blocks, and calculates the average value of the pixel gray levels of the i × j blocks as
Figure 100002_DEST_PATH_IMAGE002
；
(3) According to
Figure 615750DEST_PATH_IMAGE001
、
Figure DEST_PATH_IMAGE003
Respectively calculating the weight proportion of the i × j block at the time T and the T + T block in the image
Figure 100002_DEST_PATH_IMAGE004
、
Figure 470573DEST_PATH_IMAGE005
：
Figure 100002_DEST_PATH_IMAGE006
，
Figure 440191DEST_PATH_IMAGE007
；
(4) Respectively calculating the gray scale entropy value of the i × j block at the T moment and the T + T moment in the image
Figure 100002_DEST_PATH_IMAGE008
、
Figure 960034DEST_PATH_IMAGE009
：
Figure 100002_DEST_PATH_IMAGE010
，
Figure 712089DEST_PATH_IMAGE011
；
(5) Respectively calculating the average value of the gray scale entropy values of the T moment image and the T + T moment image
Figure 100002_DEST_PATH_IMAGE012
、
Figure 659185DEST_PATH_IMAGE013
：
Figure 100002_DEST_PATH_IMAGE014
，
Figure 113169DEST_PATH_IMAGE015
；
(6) Respectively calculating the entropy ratio of the i × j block in the T time image and the T + T time image
Figure 100002_DEST_PATH_IMAGE016
、
Figure 249753DEST_PATH_IMAGE017
：
Figure 100002_DEST_PATH_IMAGE018
，
Figure 108512DEST_PATH_IMAGE019
；
(7) Respectively extracting the maximum entropy ratio in the image at the time T and the image at the time T + T:
Figure 100002_DEST_PATH_IMAGE020
，
Figure 39559DEST_PATH_IMAGE021
；
(8) establishing a maximum entropy ratio comparison function, determining whether an image monitoring abnormality exists in a time interval T in the monitoring system according to the comparison function, and if the comparison function value is larger than a set threshold value, determining the time
Figure 100002_DEST_PATH_IMAGE022
The monitoring image information is sent to the operator on duty for further auditing by the operator on duty, wherein B is an integer greater than 1;
wherein, the maximum entropy ratio comparison function is specifically:
Figure 980839DEST_PATH_IMAGE023
，
wherein r and
Figure 100002_DEST_PATH_IMAGE024
all the coefficient are occupation ratio coefficients, the values are all larger than 0 and smaller than 1,
Figure 655534DEST_PATH_IMAGE025
is a radial ratio, which is the area ratio of the image segmentation size, i.e.
Figure 100002_DEST_PATH_IMAGE026
，
Figure 365869DEST_PATH_IMAGE027
To set an angle value of greater than
Figure 100002_DEST_PATH_IMAGE028
Is less than
Figure 920348DEST_PATH_IMAGE029
And the set threshold is set according to the monitored object.
Further, preferably, the B value is 3 to 8.
Further, preferably, when the monitoring image information is sent to the person on duty, the monitoring image information is wirelessly transmitted to the person on duty.
Compared with the prior art, the invention has the beneficial effects that:
the invention adopts a brand-new data processing method to realize automatic identification and judgment processing of computer monitoring data, and judges whether suspicious problems exist in images within a time T or not by segmenting image information and comparing differences between two images within the time interval T.
Drawings
Fig. 1 is a schematic flow chart of a data processing method of a computer monitoring system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a data processing method of a computer monitoring system comprises the following steps:
(1) the computer selects an image to be analyzed at intervals of time T according to the monitoring picture sent by the monitoring monitor;
(2) the data processor divides the image to be analyzed at the time t into m × n blocks, and respectively calculates the average value of the pixel gray scale of the i × j block
Figure 161973DEST_PATH_IMAGE001
Then, the data processor performs the same segmentation process on the image to be analyzed at the time T + T, divides the image into m × m blocks, and calculates the average value of the pixel gray levels of the i × j blocks as
Figure 374780DEST_PATH_IMAGE002
；
(3) According to
Figure 18251DEST_PATH_IMAGE001
、
Figure 543297DEST_PATH_IMAGE003
Respectively calculating the weight proportion of the i × j block at the time T and the T + T block in the image
Figure 272219DEST_PATH_IMAGE004
、
Figure 288717DEST_PATH_IMAGE005
：
Figure 786694DEST_PATH_IMAGE006
，
Figure 745292DEST_PATH_IMAGE007
；
(4) Respectively calculating the gray scale entropy value of the i × j block at the T moment and the T + T moment in the image
Figure 633613DEST_PATH_IMAGE008
、
Figure 516119DEST_PATH_IMAGE009
：
Figure 55553DEST_PATH_IMAGE010
，
Figure 998101DEST_PATH_IMAGE011
；
(5) Respectively calculating the average value of the gray scale entropy values of the T moment image and the T + T moment image
Figure 100002_DEST_PATH_IMAGE030
、
Figure 373719DEST_PATH_IMAGE031
：
Figure 100002_DEST_PATH_IMAGE032
，
Figure 918970DEST_PATH_IMAGE033
；
(6) Respectively calculating the entropy ratio of the i × j block in the T time image and the T + T time image
Figure 391540DEST_PATH_IMAGE016
、
Figure 706588DEST_PATH_IMAGE017
：
Figure 631819DEST_PATH_IMAGE018
，
Figure 793810DEST_PATH_IMAGE019
；
(7) Respectively extracting the maximum entropy ratio in the image at the time T and the image at the time T + T:
Figure 855307DEST_PATH_IMAGE020
，
Figure 326608DEST_PATH_IMAGE021
；
(8) establishing a maximum entropy ratio comparison function, determining whether an image monitoring abnormality exists in a time interval T in the monitoring system according to the comparison function, and if the comparison function value is larger than a set threshold value, determining the time
Figure 100002_DEST_PATH_IMAGE034
The monitoring image information is sent to the operator on duty for further auditing by the operator on duty, wherein B is an integer greater than 1;
wherein, the maximum entropy ratio comparison function is specifically:
Figure 676818DEST_PATH_IMAGE023
，
wherein r and
Figure 891768DEST_PATH_IMAGE024
all the coefficient are occupation ratio coefficients, the values are all larger than 0 and smaller than 1,
Figure 197984DEST_PATH_IMAGE025
is a radial ratio, which is the area ratio of the image segmentation size, i.e.
Figure 325340DEST_PATH_IMAGE026
，
Figure 225163DEST_PATH_IMAGE027
To set an angle value of greater than
Figure 981154DEST_PATH_IMAGE028
Is less than
Figure 282822DEST_PATH_IMAGE029
And the set threshold is set according to the monitored object.
In the embodiment, the value B is 3 to 8. When the monitoring image information is sent to the person on duty, the monitoring image information is transmitted to the person on duty in a wireless mode.
The invention adopts a brand-new data processing method to realize automatic identification and judgment processing of computer monitoring data, and judges whether suspicious problems exist in images within a time T or not by segmenting image information and comparing differences between two images within the time interval T.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (3)

1. A data processing method of a computer monitoring system is characterized by comprising the following steps:
(1) the computer selects an image to be analyzed at intervals of time T according to a monitoring picture sent by a monitoring monitor;
(2) the data processor divides the image to be analyzed at the time t into m × n blocks, and respectively calculates the average value of the pixel gray scale of the i × j block
Figure DEST_PATH_IMAGE002
Then, the data processor performs the same segmentation process on the image to be analyzed at the time T + T, divides the image into m × n blocks, and calculates the average value of the pixel gray levels of the i × j blocks as
Figure DEST_PATH_IMAGE004
；
(3) According to
Figure DEST_PATH_IMAGE002A
、
Figure DEST_PATH_IMAGE006
Respectively calculating the weight proportion of the i × j block at the time T and the T + T block in the image
Figure DEST_PATH_IMAGE008
、
Figure DEST_PATH_IMAGE010
：
Figure DEST_PATH_IMAGE012
，
Figure DEST_PATH_IMAGE014
；
(4) Respectively calculating the gray scale entropy value of the i × j block at the T moment and the T + T moment in the image
Figure DEST_PATH_IMAGE016
、
Figure DEST_PATH_IMAGE018
：
Figure DEST_PATH_IMAGE020
，
Figure DEST_PATH_IMAGE022
；
(5) Respectively calculating the average value of the gray scale entropy values of the T moment image and the T + T moment image
Figure DEST_PATH_IMAGE024
、
Figure DEST_PATH_IMAGE026
：
Figure DEST_PATH_IMAGE028
，
Figure DEST_PATH_IMAGE030
；
(6) Respectively calculating the entropy ratio of the i × j block in the T time image and the T + T time image
Figure DEST_PATH_IMAGE032
、
Figure DEST_PATH_IMAGE034
：
Figure DEST_PATH_IMAGE036
，
Figure DEST_PATH_IMAGE038
；
(7) Respectively extracting the maximum entropy ratio in the image at the time T and the image at the time T + T:
Figure DEST_PATH_IMAGE040
，
Figure DEST_PATH_IMAGE042
；
(8) establishing a maximum entropy ratio comparison function, determining whether an image monitoring abnormality exists in a time interval T in the monitoring system according to the comparison function, and if the comparison function value is larger than a set threshold value, determining the time
Figure DEST_PATH_IMAGE044
The monitoring image information is sent to the operator on duty for further auditing by the operator on duty, wherein B is an integer greater than 1;
wherein, the maximum entropy ratio comparison function is specifically:
Figure DEST_PATH_IMAGE046
，
wherein r and
Figure DEST_PATH_IMAGE048
all the coefficient are occupation ratio coefficients, the values are all larger than 0 and smaller than 1,
Figure DEST_PATH_IMAGE050
is a radial ratio, which is the area ratio of the image segmentation size, i.e.
Figure DEST_PATH_IMAGE052
，
Figure DEST_PATH_IMAGE054
To set an angle value of greater than
Figure DEST_PATH_IMAGE056
Is less than
Figure DEST_PATH_IMAGE058
And the set threshold is set according to the monitored object.
2. The data processing method of the computer monitoring system according to claim 1, characterized in that: the B value is 3-8.
3. The data processing method of the computer monitoring system according to claim 1, characterized in that: when the monitoring image information is sent to the person on duty, the monitoring image information is transmitted to the person on duty in a wireless mode.
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CN106327791A (en) * 2016-08-31 2017-01-11 朱明� Exceptional event real-time alarm method and system
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Publication number Priority date Publication date Assignee Title
JP2000339329A (en) * 1999-05-27 2000-12-08 Nippon Telegr & Teleph Corp <Ntt> Method and device for monitoring and alarming image and storage medium with image monitoring and alarm program stored therein
KR101766467B1 (en) * 2016-02-15 2017-08-08 광주과학기술원 Alarming apparatus and methd for event occurrence, and providing method of event occurrence determination model
CN105868722A (en) * 2016-04-05 2016-08-17 国家电网公司 Identification method and system of abnormal power equipment images
CN106327791A (en) * 2016-08-31 2017-01-11 朱明� Exceptional event real-time alarm method and system

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