CN102682568A - System and method for detecting monitored image - Google Patents
System and method for detecting monitored image Download PDFInfo
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- CN102682568A CN102682568A CN2011100577138A CN201110057713A CN102682568A CN 102682568 A CN102682568 A CN 102682568A CN 2011100577138 A CN2011100577138 A CN 2011100577138A CN 201110057713 A CN201110057713 A CN 201110057713A CN 102682568 A CN102682568 A CN 102682568A
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Abstract
A system for detecting a monitored image comprises an obtaining module, a control module, a setting module and a calculating module. The obtaining module is used for obtaining an image shot by a camera, the control module is used for controlling a movement detection unit to calculate difference pixel quantity of the image, the setting module is used for setting the state of the camera as an alarming state when the difference pixel quantity exceeds a difference pixel setting value, the calculating module is used for increasing abnormal image counting value by 1, the obtaining module is also used for obtaining next image shot by the camera when the abnormal image counting value does not exceed the maximum value of the abnormal image counting value, and the control module is also used for starting an alarming device to conduct prompting when the abnormal image counting value exceeds the maximum value of the abnormal image counting value. The invention further provides a method for detecting the monitored image. By means of the system and the method for detecting the monitored image, abnormal conditions of the monitored image can be detected timely.
Description
Technical field
The present invention relates to a kind of image detecting system and method, relate in particular to a kind of monitoring image detecting system and method.
Background technology
Imaging monitoring is a crucial link in the security monitoring solution, because it can get up the image store of monitoring scene and broadcast at any time, usually can reduce to the process that incident takes place.If but video camera suffers to destroy, covers or moves, just can't monitor smoothly.
Summary of the invention
In view of above content, be necessary to provide a kind of monitoring image detecting system, can in time detect the abnormal conditions of video camera.
Also be necessary to provide a kind of monitoring image detection method, can in time detect the abnormal conditions of video camera.
A kind of monitoring image detecting system runs in the computing machine, and this computing machine is connected in video camera and warning device, comprises the motion detection unit in this computing machine, and this system comprises: acquisition module is used to obtain the picture that video camera is taken; Control module is used for the difference pixel quantity that the control action detecting unit calculates said picture; Module is set, is used for when this difference pixel quantity surpasses difference pixel setting value, the state that said video camera is set is an alert status; Computing module is used for unusual picture count value is increased by 1; Said acquisition module also is used for when unusual picture count value does not surpass the maximal value of unusual picture count value, obtains next picture that video camera is taken; And said control module, also be used for when unusual picture count value surpasses the maximal value of unusual picture count value, starting said warning device and pointing out.
A kind of monitoring image detection method is applied to computing machine, and this computing machine is connected in video camera and warning device, comprises the motion detection unit in this computing machine, and this method comprises the steps: to obtain the picture that video camera is taken; The control action detecting unit calculates the difference pixel quantity of said picture; When this difference pixel quantity surpassed difference pixel setting value, the state that said video camera is set was an alert status; Unusual picture count value is increased by 1; Judge whether unusual picture count value has surpassed the maximal value of unusual picture count value; When unusual picture count value does not surpass the maximal value of unusual picture count value, obtain next picture that video camera is taken; And when unusual picture count value surpasses the maximal value of unusual picture count value, start said warning device and point out.
Compared to prior art, said monitoring image detecting system and method, whether the picture of can the detecting real-time video camera taking is destroyed to judge video camera, has guaranteed the smooth monitoring of video camera.
Description of drawings
Fig. 1 is the running environment figure that the present invention monitors the image detecting system preferred embodiment.
Fig. 2 is the functional block diagram of monitoring image detecting system 10 among Fig. 1.
Fig. 3 is the operation process chart that the present invention monitors the image detection method preferred embodiment.
The main element symbol description
| |
1 |
| The monitoring |
10 |
| Video camera | 2 |
| |
3 |
| Acquisition module | 100 |
| Judge module | 101 |
| Module is set | 102 |
| Control module | 103 |
| Computing module | 104 |
Following embodiment will combine above-mentioned accompanying drawing to further specify the present invention.
Embodiment
As shown in Figure 1, be the running environment figure that the present invention monitors the image detecting system preferred embodiment.This monitoring image detecting system 10 runs in the computing machine 1, and this computing machine 1 is connected in video camera 2, and said computing machine 1 also is connected in warning device 3, and this warning device 3 can be external in computing machine 1, also can be built in this computing machine 1.Said computing machine 1 comprises motion detection unit 11.Said video camera 2 is used for to external world environment and makes a video recording; Said computing machine 1 is used for video camera 2 captured pictures are analyzed, and checks whether this picture changes, and checks promptly in the present embodiment whether the pixel in the picture variation has taken place; Change if exist, then start warning device 3 and report to the police.
As shown in Figure 2, be the functional block diagram of monitoring image detecting system 10 among Fig. 1.Said monitoring image detecting system 10 comprises: acquisition module 100, judge module 101, module 102, control module 103 and computing module 104 are set.Said module is the software program section with specific function; This software is stored in computer-readable recording medium or other memory device; Can be carried out by computing machine or other calculation element that comprises processor, thereby accomplish the work flow of monitoring image detecting among the present invention.
Acquisition module 100 is used to obtain the picture that video camera 2 is taken.
Judge module 101 is used to check whether current video camera 2 is in alert status.In the present embodiment, when the state parameter value of video camera 2 is true value, judge that video camera 2 is in alert status, when the state parameter value of video camera 2 is falsity, judge that video camera 2 is not in alert status.
If video camera 2 is not in alert status, promptly non-alert status then is provided with the background model that module 102 is used to upgrade the picture that is obtained.
If video camera 2 is in alert status, control module 103 is used to control the difference pixel quantity that said motion detection unit 11 calculates said picture.Said difference pixel quantity is meant the vicissitudinous pixel quantity of pixel value of picture that is obtained and the picture corresponding position that obtained last time.
Said judge module 101 is used to also judge whether said difference pixel quantity has surpassed difference pixel setting value.This difference pixel setting value can be set up on their own by the user, be meant the current picture that obtains and the picture that obtained last time in the maximal value of pixel quantity of change.For example, if difference pixel setting value is 0.7, the maximum ratio of then representing the pixel of change be in the picture all pixels 70%.
When said difference pixel quantity had surpassed difference pixel setting value, said the state that module 102 also is used to be provided with said video camera 2 is set was alert status, and simultaneously, computing module 104 is used for unusual picture count value is increased by 1.In this preferred embodiment, the initial value of this unusual picture count value is 0.
Said judge module 101 is used to also to judge that unusual picture count value that aforementioned calculation obtains is whether greater than the maximal value of unusual picture count value.If unusual picture count value has surpassed the maximal value of unusual picture count value, then said control module 103 starts said warning device 3, and the prompting user handles this picture.If unusual picture count value surpasses the maximal value of unusual picture count value, then said acquisition module 100 obtains next picture that video camera 2 is taken.
When said difference pixel quantity did not surpass difference pixel setting value, said judge module 101 judged whether current video camera 2 is in alert status.If this video camera 2 is in alert status, then said computing module 104 also is used for the normal pictures count value is increased by 1.In this preferred embodiment, the initial value of this normal pictures count value is 0.
Said judge module 101 is used to also to judge that normal pictures count value that aforementioned calculation obtains is whether greater than the maximal value of normal pictures count value.When the said normal pictures count value that calculates during greater than the maximal value of normal pictures count value; The said normal pictures count value and unusual picture count value that this video camera 2 of module 102 initialization is set; Be about to this normal pictures count value and be set to 0 respectively with unusual picture count value; Remove the alert status of this video camera 2, and the state parameter value of video camera 2 is set to falsity.
As shown in Figure 3, be the operation process chart that the present invention monitors the image detection method preferred embodiment.
Step S30, acquisition module 100 obtain the picture that video camera 2 is taken.
Step S31, judge module 101 check whether current video camera 2 is in alert status.In the present embodiment, when the state parameter value of video camera 2 is true value, judge that video camera 2 is in alert status, when the state parameter value of video camera 2 is falsity, judge that video camera 2 is not in alert status.If judge module 101 judges when said video camera 2 is not in alert status, execution in step S32 then.If judge module 101 is judged when said video camera 2 is in alert status, then direct execution in step S33.
Step S32 is provided with the background model that module 102 is upgraded the picture that is obtained.
Step S33, the said motion detection of control module 103 controls unit 11 calculates the difference pixel quantity of said picture.Said difference pixel quantity is meant the vicissitudinous pixel quantity of pixel value of picture that is obtained and the picture corresponding position that obtained last time.
Step S34, said judge module 101 judge whether said difference pixel quantity has surpassed difference pixel setting value.This difference pixel setting value can be set up on their own by the user, be meant the current picture that obtains and the picture that obtained last time in the maximal value of pixel quantity of change.For example, if difference pixel setting value is 0.7, the maximum ratio of then representing the pixel of change be in the picture all pixels 70%.When judge module 101 judges that said difference pixel quantity has surpassed difference pixel setting value, then execution in step S35.Judge said difference pixel quantity when judge module 101 and do not surpass difference pixel setting value, then execution in step S40.
Step S35, said the state that module 102 is provided with said video camera 2 is set is alert status.It is pointed out that then this step can not carried out this step S35, directly execution in step S36 if judge among the step S31 that said video camera 2 is in alert status.
Step S36, computing module 104 increases by 1 with unusual picture count value.In this preferred embodiment, the initial value of this unusual picture count value is 0.
Step S37, said judge module 101 judge that unusual picture count value is whether greater than the maximal value of unusual picture count value.If unusual picture count value has surpassed the maximal value of unusual picture count value, then execution in step S38.If unusual picture count value does not surpass the maximal value of unusual picture count value, then execution in step S39.
Step S38, said control module 103 starts said warning device 3, and the prompting user handles this picture, and process ends.
Step S39, said acquisition module 100 obtain next picture that video camera 2 is taken, and go to step S31.
Step S40, said judge module 101 judge whether current video camera 2 is in alert status.Be in alert status as if current video camera 2, then execution in step S41.If current video camera 2 is not in alert status, then go to step S39.
Step S41, said computing module 104 increases by 1 with the normal pictures count value.In this preferred embodiment, the initial value of this normal pictures count value is 0.
Step S42, said judge module 101 judge that normal pictures count value that aforementioned calculation obtains is whether greater than the maximal value of normal pictures count value.When the said normal pictures count value that calculates during greater than the maximal value of normal pictures count value, execution in step S43.When the said normal pictures count value that calculates is not more than the maximal value of said normal pictures count value, go to step S37.
Step S43, said normal pictures count value that this video camera 2 of module 102 initialization is set and unusual picture count value, and remove the alert status of this video camera 2, go to step S39.In the present embodiment, said initialization is meant that specifically normal pictures count value and unusual picture count value are set to 0, and the state parameter value of video camera 2 is set to falsity, is non-alert status.
It should be noted last that; 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 (6)
1. a monitoring image detecting system runs in the computing machine, and this computing machine is connected in video camera and warning device, comprises the motion detection unit in this computing machine, it is characterized in that, this system comprises:
Acquisition module is used to obtain the picture that video camera is taken;
Control module is used for the difference pixel quantity that the control action detecting unit calculates said picture;
Module is set, is used for when this difference pixel quantity surpasses difference pixel setting value, the state that said video camera is set is an alert status;
Computing module is used for unusual picture count value is increased by 1;
Said acquisition module also is used for when unusual picture count value does not surpass the maximal value of unusual picture count value, obtains next picture that video camera is taken; And
Said control module also is used for when unusual picture count value surpasses the maximal value of unusual picture count value, starting said warning device and pointing out.
2. monitoring image detecting system as claimed in claim 1 is characterized in that, this system also comprises:
Judge module is used for after acquisition module obtains said picture, judges whether video camera is in alert status, if video camera is in alert status, then said control module is directly controlled the difference pixel quantity that said motion detection unit calculates this picture; And
The said module that is provided with also is used for when said video camera is not in alert status, upgrades the background model of the picture that obtains.
3. monitoring image detecting system as claimed in claim 1 is characterized in that,
Said computing module also is used for surpassing difference pixel setting value when said difference pixel quantity, and video camera increases by 1 with the normal pictures count value when being in alert status;
Said judge module is used to also to judge that normal pictures count value that aforementioned calculation obtains is whether greater than the maximal value of normal pictures count value;
The said module that is provided with also is used for when said normal pictures count value during greater than the maximal value of normal pictures count value, the normal pictures count value of initialization video camera and unusual picture count value, and remove the alert status of video camera.
4. a monitoring image detection method is applied to computing machine, and this computing machine is connected in video camera and warning device, comprises the motion detection unit in this computing machine, it is characterized in that, this method comprises the steps:
Obtain the picture that video camera is taken;
The control action detecting unit calculates the difference pixel quantity of said picture;
When this difference pixel quantity surpassed difference pixel setting value, the state that said video camera is set was an alert status;
Unusual picture count value is increased by 1;
Judge whether unusual picture count value has surpassed the maximal value of unusual picture count value;
When unusual picture count value does not surpass the maximal value of unusual picture count value, obtain next picture that video camera is taken; And
When unusual picture count value surpasses the maximal value of unusual picture count value, start said warning device and point out.
5. monitoring image detection method as claimed in claim 4 is characterized in that, after step is obtained the picture that video camera takes, also comprises:
Judge whether video camera is in alert status;
If video camera is not to be in alert status, then upgrade the background model of said picture;
If video camera is in alert status, then carry out the step that said motion detection unit calculates the difference pixel quantity of this picture.
6. monitoring image detection method as claimed in claim 4 is characterized in that, this method also comprises step:
When said difference pixel quantity surpasses difference pixel setting value, and video camera increases by 1 with the normal pictures count value when being in alert status;
Judge that normal pictures count value that aforementioned calculation obtains is whether greater than the maximal value of normal pictures count value;
When said normal pictures count value during, the normal pictures count value of initialization video camera and unusual picture count value, and remove the alert status of video camera greater than the maximal value of normal pictures count value; And
When said normal pictures count value is not more than the maximal value of normal pictures count value, goes to and judge whether unusual picture count value has surpassed the peaked step of unusual picture count value.
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| CN2011100577138A CN102682568A (en) | 2011-03-10 | 2011-03-10 | System and method for detecting monitored image |
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| CN2011100577138A CN102682568A (en) | 2011-03-10 | 2011-03-10 | System and method for detecting monitored image |
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| CN103716618A (en) * | 2012-10-09 | 2014-04-09 | 中兴保全股份有限公司 | Abnormity detecting method of camera |
| CN105491354A (en) * | 2016-01-18 | 2016-04-13 | 广州爱九游信息技术有限公司 | Video monitoring method and video monitoring platform |
| US9811755B2 (en) | 2013-03-29 | 2017-11-07 | Nec Corporation | Object monitoring system, object monitoring method, and monitoring target extraction program |
| CN112040219A (en) * | 2020-07-28 | 2020-12-04 | 北京旷视科技有限公司 | Camera picture detection method and device, electronic equipment and readable storage medium |
| CN115379178A (en) * | 2022-10-24 | 2022-11-22 | 广东电网有限责任公司中山供电局 | Monitoring picture exception handling method, system, device and medium |
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Application publication date: 20120919 |