CN102231223B - Foreign object blocking and alarming method used for camera - Google Patents
Foreign object blocking and alarming method used for camera Download PDFInfo
- Publication number
- CN102231223B CN102231223B CN 201110147200 CN201110147200A CN102231223B CN 102231223 B CN102231223 B CN 102231223B CN 201110147200 CN201110147200 CN 201110147200 CN 201110147200 A CN201110147200 A CN 201110147200A CN 102231223 B CN102231223 B CN 102231223B
- Authority
- CN
- China
- Prior art keywords
- foreign matter
- space
- color
- frame image
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000000903 blocking effect Effects 0.000 title abstract description 6
- ZLSWBLPERHFHIS-UHFFFAOYSA-N Fenoprop Chemical compound OC(=O)C(C)OC1=CC(Cl)=C(Cl)C=C1Cl ZLSWBLPERHFHIS-UHFFFAOYSA-N 0.000 claims description 32
- 239000003086 colorant Substances 0.000 claims description 5
- 230000035772 mutation Effects 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 7
- 238000003708 edge detection Methods 0.000 description 6
- 239000004744 fabric Substances 0.000 description 6
- 238000001514 detection method Methods 0.000 description 3
- 235000009508 confectionery Nutrition 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 238000007789 sealing Methods 0.000 description 2
- 208000001613 Gambling Diseases 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Landscapes
- Image Analysis (AREA)
- Image Processing (AREA)
- Studio Devices (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a foreign object blocking and alarming method used for a camera, comprising the following steps of: collecting and storing a frame of image; collecting and storing a next frame of image according to a preset image collecting period; calculating a correlation coefficient of specified regions of a current frame of image and the previous frame of image; and judging whether the correlation coefficient is less than a mutation threshold T1, if so, generating foreign object blocking and alarming, and if not, repeating the steps. The foreign object blocking and alarming method used for the camera, provided by the invention, is simply realized, has strong robustness and can be used for realizing the foreign object blocking and alarming of the camera accurately and efficiently in time.
Description
Technical field
The present invention relates to field of video monitoring, relate in particular to a kind of foreign matter for video camera and block alarm method.
Background technology
Video monitoring is the important component part of safety and protection system, and it is the stronger integrated system of a kind of prevention ability.Video monitoring is directly perceived with it, accurately, in time and the information content abundant and be widely used in social all trades and professions, such as occasions such as enterprise, public security, electric power, subway, bank, airport, hospital, frontier defense, government, school, finance, supermarket, telecommunications, gambling house, factory, museum and prisons.
In above-mentioned these were used, the observation position of the rig camera in most video monitorings immobilized or is keeping fixing in the section sometime.Therefore, easily cause in use, because foreign matter causes user or guardian can't obtain effective video information to the blocking of user's area-of-interest, thereby lost the function of monitoring.More it is worth noting, the generation that foreign matter blocks may indicate the generation that the malicious event such as property is stolen, personal security is on the hazard are arranged, such as stealer block that camera lens steals that camera lens that shop equipment, lawless person block the monitoring ATM carries out that finance is extorted, inmate in the prison blocks the camera lens behavior such as have a fist fight.No matter be that video information can't correctly be obtained, or malicious event occurs, obviously exist poor reliability and detect the defectives such as untimely by present artificial video camera foreign matter occlusion detection mode, therefore, in concrete application process, need to there be corresponding foreign matter occlusion detection method to provide in time, exactly the video camera foreign matter and blocks warning information, take corresponding measure for the user.
In Chinese patent " denomination of invention: a kind of method for detecting video shelter in network video monitoring, application number: 200710145468.X " patent in introduced a kind of in conjunction with Video coding, video shelter is judged the method that detects by moving region repeatedly, the method is mainly used in the situation that video source can not correctly be obtained.In addition, in another part Chinese patent " denomination of invention: the internet protocol camera system that possesses intelligent alarm function, application number: 200810122354.8 " patent in the camera lens introduced block warning function and be applied to motion target area, by judging whether difference realizes greater than setting threshold between the foreground pixel in the moving region.But, in above-mentioned present disclosed patent, method, system or the device of foreign matter occlusion detection do not proposed clearly, for this reason, a kind of new foreign matter that is used for video camera blocks alarm method and has very important realistic meaning and application prospect widely.
Summary of the invention
Whether the purpose of the embodiment of the invention is for the deficiencies in the prior art, provides a kind of foreign matter for video camera to block alarm method, blocked by foreign matter in order to detect fast and accurately video camera, and in time provide alarm prompt.In actual applications, the object mostly foreign matter that blocks camera lens is that color is concentrated relatively, marginal information is rare and has disturbed video source to obtain.The described foreign matter for video camera of the embodiment of the invention blocks the application demand that alarm method considers that camera lens is fixing, adopt and whether undergo mutation between the consecutive frame image to judge whether user designated area exists the possibility of being blocked by foreign matter, a nearlyer step ground, the colouring information of recycling appointed area image and marginal information accurately detect the situation that whether has foreign matter to block and occur, if have, then in time provide foreign matter and block warning information.
The purpose of the embodiment of the invention reaches by the following technical programs.
A kind of foreign matter for video camera blocks alarm method, and it comprises:
A, collection one two field picture are also preserved;
B, according to the default IMAQ cycle, gather the next frame image and preserve;
The coefficient correlation of the appointed area of C, calculating current frame image and previous frame image;
D, judge that the size of this coefficient correlation is whether less than sudden change threshold value T
1If,, then produce foreign matter and block alarm, otherwise, step B entered;
Described step C comprises:
C1, the space that gets colors, and counter is initialized as 0;
C2, for M passage of described color space, respectively current frame image and previous frame image are done the difference computing in the pixel of appointed area, with the absolute value of described operation result and default similar threshold value T
2Compare, if less than this similar threshold value T
2, then counter adds 1;
C3, for M passage of described color space, adopt the value of the counter that obtains divided by the pixel data of appointed area, obtain the coefficient correlation COF of the appointed area of M current frame image and previous frame image
1, COF
2COF
M
Described step D comprises:
If D1 is described COF
1, COF
2COF
MIn have its value at least size less than sudden change threshold value T
1, then produce foreign matter and block alarm;
Described similar threshold value T
2Size greater than the color-set distance, wherein, the size of described color-set distance is
Described N refers to that each passage of color space is divided into N color-set, and described S refers to the GTG of each passage of color space.
Preferably, described foreign matter for video camera blocks alarm method and also comprises:
E, according to the color histogram information of the appointed area of current frame image and previous frame image, judge whether the color of this two width of cloth image appointed area close, if, then produce foreign matter and block warning information, otherwise, enter step B.
Preferably, described foreign matter for video camera blocks alarm method and also comprises:
F, judge whether the marginal information of appointed area of present frame is less, if, then produce foreign matter and block warning information, otherwise, step B entered.
Preferably, described step e comprises:
E1, the space gets colors;
E2, for M passage of described color space, each passage is divided into N color-set, wherein, the grey level range of n color-set is
Described N refers to that each passage of color space is divided into N color-set, and described S refers to the GTG of each passage of color space;
E3, N the color-set that described M is tieed up under the color space are mapped to the one-dimensional space one by one, form N^M color-set, and the pixel count that calculates each color-set accounts for the percentage of each respective channel appointed area pixel count;
The number of E4, the main color-set of statistics, wherein, described main color-set is greater than main color-set threshold value T for the percentage that its pixel count accounts for whole appointed area pixel count
3Color-set;
If the number of the main color-set of E5 is less than color threshold concentration T
4, then produce foreign matter and block warning information.
Preferably, described color space is rgb space, YCbCr space, HSV space, HMMD space or monochromatic space.
Preferably, described step F comprises:
F1, the image of present frame appointed area is done smoothing denoising process;
F2, utilize edge detection operator to extract the edge gradient information of the image of described appointed area, and adopt thresholding method to obtain a width of cloth bianry image to described image;
F3, the edge of described bianry image is connected processing, make its edge pixel be combined into the edge of sealing;
The number of F4, statistics limbus, wherein, described limbus refers to that the number of edge pixel is greater than limbus threshold value T
5The edge;
If the number of the described limbus of F5 is less than sparse edge threshold value T
6, then produce foreign matter and block warning information.
Preferably, in described step F 2, described edge detection operator is Robert operator, Sobel operator, Laplace operator, Candy operator, Canny operator or LoG operator.
Preferably, in described step F 2, described thresholding method is the Otsu thresholding method.
Technical scheme by the invention described above embodiment can find out, the foreign matter for video camera of the present invention blocks alarm method, and its implementation is simple, and strong robustness can realize accurately, in time and effectively that the foreign matter of video camera blocks alarm.
Description of drawings
Fig. 1 is the flow chart that the foreign matter that is used for video camera that one embodiment of the invention provides blocks alarm method.
The realization of the object of the invention, functional characteristics and excellent effect are described further below in conjunction with specific embodiment and accompanying drawing.
Embodiment
Below in conjunction with the drawings and specific embodiments technical scheme of the present invention is described in further detail, can be implemented so that those skilled in the art can better understand the present invention also, but illustrated embodiment is not as a limitation of the invention.
The foreign matter that is used for video camera that provides according to one embodiment of the invention blocks alarm method, and as shown in Figure 1, it comprises:
A, collection one two field picture are also preserved;
B, according to the default IMAQ cycle, gather the next frame image and preserve;
The coefficient correlation of the appointed area of C, calculating current frame image and previous frame image;
D, judge that the size of this coefficient correlation is whether less than sudden change threshold value T
1If,, then produce foreign matter and block alarm, otherwise, step B entered.
Wherein, the described image that collects can save as the various picture formats such as gray level image, RGB, YUV, in addition, the used time that the IMAQ cycle of adjacent two two field pictures should be blocked alarm method greater than the foreign matter that is used for video camera that the embodiment of the invention provides, and detect delay time no longer than the patient foreign matter of institute in concrete the application, for example, be t when the foreign matter in video camera blocks the time that alarm method consumes
1, during IMAQ cycle Δ t, so described foreign matter detects delay time and is not more than t
1+ Δ t.
It should be noted that, appointed area among the above-mentioned steps C is the zone that is arranged by User Defined, for example is a rectangular area, and its size should be not more than the size of image, correspondingly, " appointed area " word of indication appointed area of all having referred in this step C, to have set hereinafter.Described coefficient correlation is the index of similitude between tolerance present frame and previous frame two width of cloth images, and this index value is between 0 to 1, and larger expression two width of cloth images of its value are more similar.It generally all is to block institute by large-area foreign matter to cause that the foreign matter of considering video camera blocks, and therefore is judged as sudden change when the diversity ratio between two two field pictures is larger, in the method, is embodied in the coefficient correlation of two two field pictures less than the threshold value T that suddenlys change
1The time, judge and foreign matter occurs and block and produce corresponding alarm, in the method, sudden change threshold value T
1Value need less, described sudden change threshold value T for example
1Size be 0.1 ~ 0.3.
According to a kind of preferred implementation of the present embodiment, described foreign matter for video camera blocks alarm method and also comprises step e, and wherein said step e comprises:
E, according to the color histogram information of the appointed area of current frame image and previous frame image, judge whether the color of this two width of cloth image appointed area close, if, then produce foreign matter and block warning information, otherwise, enter step B.
In step D, if the size of coefficient correlation of appointed area of judging current frame image and previous frame image is less than sudden change threshold value T
1Can draw the fact that video camera has been blocked by foreign matter in theory, namely can produce foreign matter according to this fact and block alarm, but on the basis of this step, increase above-mentioned steps E, can confirm better whether video camera is blocked and whether produce foreign matter by foreign matter and block alarm, hereinafter will specifically set forth the detailed implementation step of this step D.
More preferably, described foreign matter for video camera blocks alarm method and also comprises:
F, judge whether the marginal information of appointed area of present frame is less, if, then produce foreign matter and block warning information, otherwise, step B entered.
On the basis of above-mentioned steps D and step e, whether can judge to a certain extent video camera is blocked by foreign matter, but in the preferred implementation of the embodiment of the invention, when having increased this step F, namely can improve the accuracy that foreign matter blocks alarm, hereinafter will specifically set forth the implementation step of this step F.
Below, will specifically set forth described step C, described step C comprises:
C1, the space that gets colors, and counter is initialized as 0;
C2, for M passage of described color space, respectively current frame image and previous frame image are done the difference computing in the pixel of appointed area, the absolute value of described operation result is compared with the similar threshold value T2 that presets, if less than this similar threshold value T2, then counter adds 1;
C3, for M the passage (for example, described M is 1 or 3) of described color space, adopt the value of the counter that obtains divided by the pixel data of appointed area, obtain the coefficient correlation COF of the appointed area of M current frame image and previous frame image
1, COF
2... COF
M
Described step D comprises:
If D1 is described COF
1, COF
2... COF
MIn have its value at least size less than sudden change threshold value T
1, then produce foreign matter and block alarm.
In addition, described similar threshold value T
2Be preset value, be used for weighing whether similar index of two pixels, when the absolute value of the difference of two pixels greater than this similar threshold value T
2The time, assert that then the difference of two pixels is larger, less than this this similar threshold value T
2The time, assert that then two pixels are close, in above-mentioned steps C2, described similar threshold value T
2Size greater than the color-set distance, wherein, the size of described color-set distance is
, described N refers to that each passage of color space is divided into N color-set, described S refers to the GTG of each passage of color space.For example, be 8bit for each passage of more common color space, then the large I of described S is expressed as totally 256 GTGs in 0～255 scope.
Below, specifically set forth described step e, described step e comprises:
E1, the space gets colors;
E2, for M passage of described color space, each passage is divided into N color-set, wherein, the grey level range of n color-set is
Described N refers to that each passage of color space is divided into N color-set, and described S refers to refer to the GTG of each passage of color space;
E3, N the color-set that described M is tieed up under the color space are mapped to the one-dimensional space one by one, form N^M color-set, and the pixel count that calculates each color-set accounts for the percentage of each respective channel appointed area pixel count;
The number of E4, the main color-set of statistics, wherein, described main color-set is greater than main color-set threshold value T for the percentage that its pixel count accounts for whole appointed area pixel count
3Color-set;
If the number of the main color-set of E5 is less than color threshold concentration T
4, then produce foreign matter and block warning information.
Preferably, described color space is rgb space, YCbCr space, HSV space, HMMD space or monochromatic space.
In this step, the value of the number N of the color-set of described each passage division need consider to differentiate the balance of confidence level (wherein, N is larger, and confidence level is higher, but amount of calculation is larger) and amount of calculation.Described main color-set threshold value T
3Be preset value, can be according to the User Defined setting, described color threshold concentration T
4The intensity of the color of the foreign matter that may occur in should considering to use, the color of foreign matter is more concentrated, then color threshold concentration T
4Value should be less, for described main color-set threshold value T
3And color threshold concentration T
4Value can be according to those skilled in the art according to concrete application and self-defined setting is not done this here and given unnecessary details one by one and limit.
Below, specifically set forth described step F, described step F comprises:
F1, the image of present frame appointed area is done smoothing denoising process;
F2, utilize edge detection operator to extract the edge gradient information of the image of described appointed area, and adopt thresholding method to obtain a width of cloth bianry image to described image;
F3, the edge of described bianry image is connected processing, make its edge pixel be combined into the edge of sealing;
The number of F4, statistics limbus, wherein, described limbus refers to that the number of edge pixel is greater than limbus threshold value T
5The edge;
If the number of the described limbus of F5 is less than sparse edge threshold value T
6, then produce foreign matter and block warning information.
In the specific implementation process, in described step F 2, described edge detection operator is Robert operator, Sobel operator, Laplace operator, Candy operator, Canny operator or LoG operator.
In the specific implementation process, in described step F 2, described thresholding method is the Otsu thresholding method.
Be to be understood that; above-mentioned cited edge detection operator and thresholding method are not to be the exhaustive execution mode of the embodiment of the invention; those skilled in the art are understood that and learn; according to spirit of the present invention; the edge detection operator and the thresholding method that also have other can be applied in the embodiments of the invention, here not in order to limit protection scope of the present invention.
Above-mentioned limbus threshold value T
5Setting and the Size dependence of appointed area, the appointed area size is larger in principle, then limbus threshold value T
5Value also larger.Described sparse edge threshold value T
6The edge extent of scarcity of the value foreign matter that specifically may occur in need considering to use, if the edge of foreign matter is more rare, sparse edge threshold value T then
6Value less.
Introduction by the embodiment of the invention described above is not difficult to find out, the described foreign matter for video camera that the embodiment of the invention provides blocks alarm method, its implementation is simple, and strong robustness can realize accurately, in time and effectively that the foreign matter of video camera blocks alarm.
The above only is the preferred embodiments of the present invention; be not so limit claim of the present invention; every equivalent structure or equivalent flow process conversion that utilizes specification of the present invention and accompanying drawing content to do; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present invention.
Claims (2)
1. a foreign matter that is used for video camera blocks alarm method, it is characterized in that, comprising:
A, collection one two field picture are also preserved;
B, according to the default IMAQ cycle, gather the next frame image and preserve;
The coefficient correlation of the appointed area of C, calculating current frame image and previous frame image;
D, judge that the size of this coefficient correlation is whether less than sudden change threshold value T
1If,, then produce foreign matter and block alarm, otherwise, step B entered;
Described step C comprises:
C1, the space that gets colors, and counter is initialized as 0;
C2, for M passage of described color space, respectively current frame image and previous frame image are done the difference computing in the pixel of appointed area, with the absolute value of described operation result and default similar threshold value T
2Compare, if less than this similar threshold value T
2, then counter adds 1;
C3, for M passage of described color space, adopt the value of the counter that obtains divided by the pixel data of appointed area, obtain the coefficient correlation COF of the appointed area of M current frame image and previous frame image
1, COF
2COF
M
Described step D comprises:
If D1 is described COF
1, COF
2COF
MIn have its value at least size less than sudden change threshold value T
1, then produce foreign matter and block alarm;
Described similar threshold value T
2Size greater than the color-set distance, wherein, the size of described color-set distance is
Described N refers to that each passage of color space is divided into N color-set, and described S refers to the GTG of each passage of color space.
2. the foreign matter for video camera as claimed in claim 1 blocks alarm method, it is characterized in that, described color space is rgb space, YCbCr space, HSV space, HMMD space or monochromatic space.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110147200 CN102231223B (en) | 2011-06-02 | 2011-06-02 | Foreign object blocking and alarming method used for camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201110147200 CN102231223B (en) | 2011-06-02 | 2011-06-02 | Foreign object blocking and alarming method used for camera |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102231223A CN102231223A (en) | 2011-11-02 |
| CN102231223B true CN102231223B (en) | 2013-05-01 |
Family
ID=44843786
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201110147200 Expired - Fee Related CN102231223B (en) | 2011-06-02 | 2011-06-02 | Foreign object blocking and alarming method used for camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102231223B (en) |
Families Citing this family (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103021138B (en) * | 2012-12-28 | 2015-07-15 | 广州市浩云安防科技股份有限公司 | Method for sensing shielding of video camera and device for implementing method |
| CN103561243A (en) * | 2013-11-13 | 2014-02-05 | 太仓太乙信息工程有限公司 | Camera condition monitoring system and method |
| CN104038666B (en) * | 2014-04-22 | 2017-10-27 | 深圳英飞拓科技股份有限公司 | A kind of video shelter detection method and device |
| WO2016004422A1 (en) * | 2014-07-04 | 2016-01-07 | The Lightco Inc. | Methods and apparatus relating to detection and/or indicating a dirty lens condition |
| CN104504707B (en) * | 2014-12-26 | 2017-08-25 | 深圳市群晖智能科技股份有限公司 | A kind of foreign matter occlusion detection method of monitoring camera video pictures |
| CN105139016B (en) * | 2015-08-11 | 2018-11-09 | 豪威科技(上海)有限公司 | The Interference Detection system and its application process of monitoring camera |
| CN105828067A (en) * | 2016-04-19 | 2016-08-03 | 奇酷互联网络科技（深圳）有限公司 | Terminal, method and device for determining whether two cameras are occluded |
| CN107347151B (en) * | 2016-05-04 | 2018-12-18 | 南昌黑鲨科技有限公司 | Binocular camera occlusion detection method and device |
| CN105828068A (en) * | 2016-05-06 | 2016-08-03 | 北京奇虎科技有限公司 | Method and device for carrying out occlusion detection on camera and terminal device |
| CN105847767B (en) * | 2016-05-31 | 2018-07-06 | 浪潮通用软件有限公司 | A kind of alarm method, apparatus and system |
| CN107784258A (en) * | 2016-08-31 | 2018-03-09 | 南京三宝科技股份有限公司 | Subway density of stream of people method of real-time |
| CN106454330B (en) * | 2016-11-02 | 2018-12-28 | 北京弘恒科技有限公司 | The fuzzy method for detecting abnormality of vision signal |
| CN106454331A (en) * | 2016-11-02 | 2017-02-22 | 北京弘恒科技有限公司 | A video signal quality detection system and method |
| CN106599783B (en) * | 2016-11-09 | 2020-01-14 | 浙江宇视科技有限公司 | Video occlusion detection method and device |
| CN107316312A (en) * | 2017-06-30 | 2017-11-03 | 深圳信路通智能技术有限公司 | A kind of video image occlusion detection method and system |
| CN107682626A (en) * | 2017-09-27 | 2018-02-09 | 惠州Tcl移动通信有限公司 | A kind of camera image transfer control method, mobile terminal and storage medium |
| CN111275658A (en) * | 2018-12-03 | 2020-06-12 | 北京嘀嘀无限科技发展有限公司 | Camera shielding detection method and system |
| CN110636281B (en) * | 2019-09-23 | 2021-06-18 | 江西憶源多媒体科技有限公司 | Real-time monitoring camera shielding detection method based on background model |
| CN110647858B (en) * | 2019-09-29 | 2023-06-06 | 上海依图网络科技有限公司 | Video occlusion judgment method and device and computer storage medium |
| CN111368785B (en) * | 2020-03-17 | 2023-08-25 | 广东智媒云图科技股份有限公司 | Camera shielding judgment method, device, equipment and storage medium |
| CN112233394B (en) * | 2020-10-12 | 2021-07-20 | 广西万朝科技有限公司 | Combined type multi-information broadcasting system and method |
| CN112543312A (en) * | 2020-12-02 | 2021-03-23 | 中国联合网络通信集团有限公司 | Transport vehicle monitoring method and device, vehicle and storage medium |
| CN112637561A (en) * | 2020-12-11 | 2021-04-09 | 沈阳工程学院 | Factory video monitoring shielding protection device and protection method thereof |
| CN113487639A (en) * | 2021-07-14 | 2021-10-08 | 北京金山云网络技术有限公司 | Image processing method and device, electronic equipment and storage medium |
| CN114187498A (en) * | 2021-12-08 | 2022-03-15 | 上海商汤智能科技有限公司 | Occlusion detection method and device, electronic equipment and storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002247564A (en) * | 2001-02-21 | 2002-08-30 | Koito Mfg Co Ltd | Monitoring camera system |
| CN101119480A (en) * | 2007-09-13 | 2008-02-06 | 中兴通讯股份有限公司 | Method for detecting video shelter in network video monitoring |
| CN101344980B (en) * | 2008-08-21 | 2011-01-19 | 中国工商银行股份有限公司 | Safety detection system and method for ATM equipment |
| CN201315654Y (en) * | 2008-08-25 | 2009-09-23 | 云南正卓信息技术有限公司 | Special SkyEyes** intelligent monitoring system for prison |
-
2011
- 2011-06-02 CN CN 201110147200 patent/CN102231223B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN102231223A (en) | 2011-11-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102231223B (en) | Foreign object blocking and alarming method used for camera | |
| CN105761261B (en) | A method of detection camera suffers artificial malicious sabotage | |
| Yeh et al. | Haze effect removal from image via haze density estimation in optical model | |
| CN103763515B (en) | A kind of video abnormality detection method based on machine learning | |
| Choi et al. | Robust moving object detection against fast illumination change | |
| CN103729858B (en) | A kind of video monitoring system is left over the detection method of article | |
| TW201627917A (en) | Method and device for face in-vivo detection | |
| El Baf et al. | A fuzzy approach for background subtraction | |
| JP2015062121A5 (en) | ||
| JP2010238032A (en) | Smoke detection device | |
| CN104866843B (en) | A kind of masked method for detecting human face towards monitor video | |
| Bhujbal et al. | Lane departure warning system based on Hough transform and Euclidean distance | |
| CN107509059A (en) | Camera lens occlusion detection method | |
| Wang et al. | Early smoke detection in video using swaying and diffusion feature | |
| Zhang et al. | A novel camera-based drowning detection algorithm | |
| Cheng et al. | A background model re-initialization method based on sudden luminance change detection | |
| CN103049748A (en) | Behavior-monitoring method and behavior-monitoring system | |
| CN104866844B (en) | A kind of crowd massing detection method towards monitor video | |
| Lai et al. | Robust little flame detection on real-time video surveillance system | |
| Qi et al. | Cascaded cast shadow detection method in surveillance scenes | |
| Dai et al. | Robust and accurate moving shadow detection based on multiple features fusion | |
| Chondro et al. | Detecting abnormal massive crowd flows: Characterizing fleeing en masse by analyzing the acceleration of object vectors | |
| CN109241977A (en) | A kind of camera lens occlusion detection method | |
| Lee et al. | An intelligent image-based customer analysis service | |
| Mustafah et al. | Face detection system design for real time high resolution smart camera |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130501 |