CN102740107A - Damage monitoring system of image surveillance equipment and method - Google Patents
Damage monitoring system of image surveillance equipment and method Download PDFInfo
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- CN102740107A CN102740107A CN2011100895380A CN201110089538A CN102740107A CN 102740107 A CN102740107 A CN 102740107A CN 2011100895380 A CN2011100895380 A CN 2011100895380A CN 201110089538 A CN201110089538 A CN 201110089538A CN 102740107 A CN102740107 A CN 102740107A
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Abstract
A damage monitoring method of image surveillance equipment comprises the following steps of: acquiring image data captured by the image surveillance equipment; calculating the current image texture histogram in the image data; when the number of texture histograms in a historical image record meets a predetermined storage set value, calculating difference values between the current image texture histogram and a first record and a second record of the texture histogram in the historical image record; when the calculated two difference values are both greater than a preset threshold value, determining the current image to be abnormal and increasing a warning value by one, wherein the warning value refers to the number of abnormal images when the warning is given; when the warning value is greater than a preset value, presenting warning information to warn a user that the current image surveillance equipment is damaged. The invention further provides a damage detecting system of the image surveillance equipment. With the method of the invention, whether the image monitoring device is destroyed can be detected automatically and timely.
Description
Technical field
The present invention relates to a kind of destruction detecting system and method, relate in particular to a kind of destruction detecting system and method for imaging monitoring equipment.
Background technology
At present; Imaging monitoring equipment is seen everywhere; As in the corridor of handling official business, by the highway, in the open environment such as airport, station hall camera is installed all; Whether the flow of personnel situation around being used for monitoring meets with threat with this object of judging that the user is concerned about, and therefore effectively minimizing incident or injury that threat brought.If these imaging monitoring equipment suffer the people for sabotaging, as phtographic lens sprayed paint, covered, lost burnt, turn to etc., then user's the person or property safety will can not get guarantee.Though whether the user can come the detecting image watch-dog to be destroyed through checking image; But this method had not only expended time in but also labor intensive, and when imaging monitoring equipment is destroyed by phased manner; As in certain time point crested, then the user possibly can't in time inspect this situation.
Summary of the invention
In view of above content, be necessary to provide a kind of destruction detecting system of imaging monitoring equipment, it does not need the additional hardware device, just can be automatically and detect imaging monitoring equipment in time and whether destroyed, and the generation warning information.
Also be necessary to provide a kind of destruction method for detecting of imaging monitoring equipment, it does not need the additional hardware device, just can be automatically and detect imaging monitoring equipment in time and whether destroyed, and warning information takes place.
A kind of destruction detecting system of imaging monitoring equipment, this system comprises: computing module is used to obtain the captured image data of imaging monitoring equipment, and calculates the texture histogram of current image in this image data; Said computing module; When also being used for the histogrammic quantity of texture when history image record and satisfying a predefined storage set point, the difference value between first record and second in the texture histogram in the texture histogram that calculates this current image and the said history image record writes down; Comparison module; Two difference value and a pre-set threshold value of being used for aforementioned calculation is gone out compare; When comparative result is that these two difference value are judged this current image abnormal during all greater than said pre-set threshold value; And the warning value added 1, this warning value is meant the quantity that abnormal image is reached when giving a warning prompting; And alarm module, be used for being destroyed to point out this imaging monitoring equipment of user when the said warning value information that gives a warning during greater than a preset value.
A kind of destruction method for detecting of imaging monitoring equipment comprises the steps: to obtain the captured image data of imaging monitoring equipment; Calculate the texture histogram of current image in this image data; When the histogrammic quantity of texture in the history image record satisfies a predefined storage set point, the difference value between first record and second in the texture histogram in the texture histogram that calculates this current image and the said history image record writes down; Two difference value that go out when aforementioned calculation are judged this current image abnormal, and the warning value are added 1 that this warning value is meant the quantity that abnormal image is reached when giving a warning prompting during all greater than a pre-set threshold value; And, be destroyed to point out this current imaging monitoring equipment of user when the said warning value information that gives a warning during greater than a preset value.
Compared to prior art, the destruction detecting system and the method for described imaging monitoring equipment do not need the additional hardware device; Also need not too much memory space; Be applicable to PC or embedded system platform, utilize the texture analysis algorithm, and compare through information and the history image data that this algorithm is produced; To reach whether ruined purpose of detecting image watch-dog, memory space and detecting cost have been saved.
Description of drawings
Fig. 1 is the running environment sketch map of the destruction detecting system preferred embodiment of imaging monitoring equipment of the present invention.
Fig. 2 is a functional block diagram of destroying detecting system in the preferred embodiment of the present invention.
Fig. 3 is that texture of the present invention calculates sketch map.
Fig. 4 is the operation process chart of the destruction method for detecting preferred embodiment of imaging monitoring equipment of the present invention.
The main element symbol description
| Imaging monitoring equipment | ?1 |
| Camera head | ?10 |
| Destroy detecting system | ?12 |
| Storage device | ?14 |
| Processor | ?16 |
| Computing module | ?120 |
| Memory module | ?122 |
| Comparison module | ?124 |
| Alarm module | ?126 |
Embodiment
As shown in Figure 1, be the running environment sketch map of destruction detecting system (being designated hereinafter simply as " destroying the detecting system 12 ") preferred embodiment of imaging monitoring equipment of the present invention.This destruction detecting system 12 runs in the imaging monitoring equipment 1; This destruction detecting system 12 comprises one or more software modules, and these one or more software modules are the software program section with specific function, is stored in the said storage device 14; And control by said at least one processor 16; To carry out the destruction detecting function of imaging monitoring equipment 1, particularly, this destroys detecting system 12 image captured according to the camera head in the said imaging monitoring equipment 1 10; Detect this imaging monitoring equipment 1 and whether be destroyed, whether have the camera of artificial this imaging monitoring equipment 1 of virtual destruction like detecting.
In the present embodiment, said storage device 14 also is used to store the texture histogram of camera head 10 at the image of different time points shooting, and arranges with time sequencing, constitutes the history image record.
As shown in Figure 2, be the functional block diagram of destroying detecting system 12 in the preferred embodiment of the present invention.This destruction detecting system 12 comprises computing module 120, memory module 122, comparison module 124 and alarm module 126.
Said computing module 120 is used to obtain the captured image data of camera head 10, and calculates the texture histogram of current image in this image data.
With the 3*3 grey-tone image among Fig. 3 is example, and the texture of this current image can be calculated by formula:
Said computing module 120 judges whether the histogrammic quantity of texture in the said history image record satisfies a storage set point.In the present embodiment; This storage set point can be set up on their own by the user; For example, the image that can find two different time points to take during for subsequent calculations, the user can be arranged to 3,4,5,6,7,8 or 9 etc. with this storage set point; Perhaps be arranged to bigger numerical value, and the numerical value that is not limited to here enumerate.
When a storage of the histogrammic quantity unmet of the texture set point in the said history image record, said memory module 122 is used for depositing the texture histogram of this current image in said history image record.
When the histogrammic quantity of texture in the said history image record satisfies said predefined storage set point; Said computing module 120 also is used for calculating first record and the difference value between second record in the texture histogram of texture histogram and said history image record of this current image; Particularly; To an image, owing to utilize above-mentioned formula can calculate a texture value, therefore; Computing module 120 can calculate the difference between the texture value of two images, and this difference is said difference value.Wherein, this first record and second is recorded as the texture histogram of camera head 10 in the captured image of different time points.In the present embodiment; This first record can be the short-term history photologging; Be the closer history image record of the more current image of shooting time, said second record can be the long history photologging, i.e. the distant history image record of the more current image of shooting time.
The formula of aforementioned calculation difference value is following:
Wherein, Ds representes the texture histogram of current image and the difference value between said short-term history photologging, and Dl representes the texture histogram of current image and the difference value between said long history photologging.
Two difference value and a pre-set threshold value that said comparison module 124 is used for aforementioned calculation is gone out compare, and judge that whether these two difference value are all greater than said pre-set threshold value.In the present embodiment, this pre-set threshold value can be set according to the resolution of image.
When above-mentioned judged result is that these two difference value are not during all greater than said pre-set threshold value; Comparison module 124 judges that this current image is normal; And the warning value subtracted 1; I.e. warning value W=W-1, in the present embodiment, this warning value is meant the quantity that abnormal image will reach when alarm module 126 need give a warning prompting.When above-mentioned judged result is this two difference value during all greater than said pre-set threshold value, comparison module 124 is judged these current image abnormals, and the warning value is added 1, i.e. warning value W=W+1.This basis for estimation can be explained with following formula:
Whether said alarm module 126 is used to judge said warning value greater than a preset value, when this warning value information that gives a warning during greater than this preset value, is destroyed with the said imaging monitoring equipment 1 of prompting user.
As shown in Figure 4, be the operation process chart of the destruction method for detecting preferred embodiment of imaging monitoring equipment of the present invention.
Step S01, the camera head 10 that starts imaging monitoring equipment is taken.
Step S02, computing module 120 obtain the current image in the captured image data.
Step S03, computing module 120 calculates the texture histogram of this current image.With Fig. 3 is example, and the texture computing formula of image is:
Step S04, computing module 120 judge whether the histogrammic quantity of texture in the history image record satisfies the storage set point.
If do not satisfy, then in step S05, memory module 122 is returned step S02 after depositing in the texture histogram of current image in the said history image record.
If the histogrammic quantity of texture in the history image record satisfies said storage set point; Then in step S06, computing module 120 calculates texture histogram and first record in the texture histogram in the said history image record and the difference value between second record of this current image.In the present embodiment; This first record can be the short-term history photologging; Be the closer history image record of the more current image of shooting time, said second record can be the long history photologging, i.e. the distant history image record of the more current image of shooting time.
Step S07, comparison module 124 compares two difference value and pre-set threshold value that aforementioned calculation goes out, to judge that whether these two difference value are all greater than this pre-set threshold value.If this connects a difference value not all greater than this pre-set threshold value, then flow process gets into step S08.On the contrary, all greater than this pre-set threshold value, then flow process gets into step S09 as if these two difference value.
Step S08, comparison module 124 judge that current image is normal, and said warning value is subtracted 1, and the texture histogram that memory module 122 will this current image deposits in during said history image writes down, and then, flow process is returned step S02, i.e. warning value W=W-1.
Step S09, comparison module 124 is judged current image abnormal, and said warning value is added 1, i.e. warning value W=W+1.
Step S10, when said warning value during greater than a preset value, alarm module 126 information that can give a warning, this imaging monitoring equipment 1 of prompting user is destroyed.
In addition, in step S10, when said warning value was not more than said preset value, alarm module 126 information that just can not give a warning, flow process can turn back to step S02 and continue to obtain image and detect.
What should explain at last is; Above embodiment is only unrestricted in order to technical scheme of the present invention to be described; Although the present invention is specified with reference to preferred embodiment; Those of ordinary skill in the art should be appreciated that and can make amendment or be equal to replacement technical scheme of the present invention, and do not break away from the spirit and the scope of technical scheme of the present invention.
Claims (8)
1. the destruction method for detecting of an imaging monitoring equipment is characterized in that, this method comprises:
Obtain the captured image data of imaging monitoring equipment;
Calculate the texture histogram of current image in this image data;
When the histogrammic quantity of texture in the history image record satisfies a predefined storage set point, the difference value between first record and second in the texture histogram in the texture histogram that calculates this current image and the said history image record writes down;
Two difference value that go out when aforementioned calculation are judged this current image abnormal, and the warning value are added 1 that this warning value is meant the quantity that abnormal image is reached when giving a warning prompting during all greater than a pre-set threshold value; And
When the said warning value information that gives a warning during greater than a preset value, be destroyed with this current imaging monitoring equipment of prompting user.
2. the destruction method for detecting of imaging monitoring equipment as claimed in claim 1 is characterized in that, this method also comprises step:
When the said storage set point of the histogrammic quantity unmet of texture in the said history image record, deposit in the texture histogram of this current image in the said history image record after, return said obtaining step.
3. the destruction method for detecting of imaging monitoring equipment as claimed in claim 1 is characterized in that, this method also comprises step:
Two difference value that go out when aforementioned calculation judge that this current image is normal during not all greater than pre-set threshold value, and the warning value is subtracted 1; And
The texture histogram of this current image is deposited in the said history image record, return said obtaining step then.
4. the destruction method for detecting of imaging monitoring equipment as claimed in claim 1 is characterized in that, said first record and second is recorded as the texture histogram of imaging monitoring equipment in the captured image of different time points.
5. the destruction detecting system of an imaging monitoring equipment is characterized in that, this system comprises:
Computing module is used to obtain the captured image data of imaging monitoring equipment, and calculates the texture histogram of current image in this image data;
Said computing module; When also being used for the histogrammic quantity of texture when history image record and satisfying a predefined storage set point, the difference value between first record and second in the texture histogram in the texture histogram that calculates this current image and the said history image record writes down;
Comparison module; Two difference value and a pre-set threshold value of being used for aforementioned calculation is gone out compare; When comparative result is that these two difference value are judged this current image abnormal during all greater than said pre-set threshold value; And the warning value added 1, this warning value is meant the quantity that abnormal image is reached when giving a warning prompting; And
Alarm module is used for being destroyed with this imaging monitoring equipment of prompting user when the said warning value information that gives a warning during greater than a preset value.
6. the destruction detecting system of imaging monitoring equipment as claimed in claim 5; It is characterized in that; This system also comprises a memory module; Be used for when the said storage set point of the histogrammic quantity unmet of texture of said history image record, the texture histogram of said current image is deposited in the said history image record.
7. the destruction detecting system of imaging monitoring equipment as claimed in claim 6; It is characterized in that; Two difference value that said comparison module also is used for going out when aforementioned calculation are not during all greater than pre-set threshold value; Judge that this current image is normal, the warning value is subtracted 1, the texture histogram that said memory module will this current image deposits in the said history image record.
8. the destruction detecting system of imaging monitoring equipment as claimed in claim 5 is characterized in that, said first record and second is recorded as the texture histogram of imaging monitoring equipment in the captured image of different time points.
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| CN105122794A (en) * | 2013-04-02 | 2015-12-02 | 谷歌公司 | Camera obstruction detection |
| CN107248160A (en) * | 2017-05-31 | 2017-10-13 | 浙江远望信息股份有限公司 | Video monitoring image distortion detection method and system |
| WO2018032270A1 (en) * | 2016-08-15 | 2018-02-22 | Qualcomm Incorporated | Low complexity tamper detection in video analytics |
| CN108989757A (en) * | 2018-08-07 | 2018-12-11 | 网御安全技术（深圳）有限公司 | A kind of artificial intelligence server-side system of defense and method |
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Application publication date: 20121017 |