CN102377984A - Monitored image recording method, monitoring system and computer program product - Google Patents
Monitored image recording method, monitoring system and computer program product Download PDFInfo
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Abstract
The invention provides a monitored image recording method, a monitoring system and a computer program product. The monitored image recording method is used for recording a monitored image and comprises the following steps of: firstly, capturing a monitored image; secondly, acquiring a foreground image and a background image according to the monitored image and a previously monitored image; thirdly, generating brightness information and a threshold value respectively according to the foreground image and the background image; fourthly, judging whether a mobile object appears in the monitored image according to the brightness information and the threshold value; and finally, when judging that a mobile object appears in the monitored image, starting to record the monitored image. By the method, a scene can be judged automatically and a time point of recording the image can be determined; furthermore, image recording stop caused by error judgment can be avoided; and the judgment accuracy of a monitored image recording system can be improved.
Description
Technical field
The present invention relates to a kind of surveillance and dependent surveillance image recording method thereof, particularly relate to a kind of supervision image recording method and surveillance and the computer program that can differentiate video time point automatically.
Background technology
Surveillance generally is applied to social safety control, traffic administration, or even aspect such as amusement tourism.Generally speaking, the storage of surveillance is subject to needs the long image of record, and then sacrifices image quality, or reduces the time of video recording.For monitor on the market, simple recording function only is provided, also must constantly record a video in 24 hours, therefore institute takes up space greatly.
Therefore, how can determine automatically that the video time point is a very important problem as far as surveillance.
Summary of the invention
In view of this, the present invention provides a kind of and can determine the surveillance of video time point automatically and keep watch on the image recording method, to solve the above problems.
Embodiments of the invention provide a kind of supervision image recording method, and in order to record the supervision image, this method comprises the following steps: that at first image is kept watch in acquisition one; Then, keep watch on an image and a previous image of keeping watch on, obtain a prospect image and a background video according to this; Produce a monochrome information and a threshold value according to this prospect image and this background video respectively; Afterwards, according to this monochrome information and this threshold value, judged whether that a mobile object comes across in this supervision image; And, begin to record this supervision image when being judged as this mobile object when coming across in this supervision image.
Embodiments of the invention also provide a kind of surveillance, and this surveillance comprises an image acquisition unit, an image analysing computer unit and an image process unit, and this image acquisition unit is kept watch on image in order to capture/to record one; This image analysing computer unit is coupled to this image acquisition unit, in order to obtain this supervision image, keeps watch on an image and a previous image of keeping watch on according to this, obtains a prospect image and a background video; This image process unit is coupled to this image analysing computer unit; In order to produce a monochrome information and a threshold value according to this prospect image and this background video respectively; According to this monochrome information and this threshold value, judged whether that a mobile object occurs or disappears in this supervision image; Wherein, When being judged as this mobile object when occurring; This image process unit causes this image acquisition unit to begin to record this supervision image, and when being judged as this mobile object disappearance, this image process unit causes this image acquisition unit to stop to record this supervision image.
Embodiments of the invention also provide a kind of computer program; This computer program is written into to carry out one by a machine and keeps watch on the image recording method; Aforementioned calculation machine program product comprises: one first program code, and image is kept watch in this first program code acquisition one; One second program code, this second program code is kept watch on an image and a previous image of keeping watch on according to this, obtains a prospect image and a background video; One the 3rd program code, the 3rd program code produce a monochrome information and a threshold value according to this prospect image and this background video respectively; One quadruple pass preface code, this quadruple pass preface code have judged whether that according to this monochrome information and this threshold value a mobile object comes across in this supervision image, and when being judged as this mobile object when coming across in this supervision image, begin to record this supervision image.
Said method of the present invention can be included in tangible media through program code means.When program code was written into and carries out by machine, machine became in order to carry out device of the present invention.
Supervision image recording system of the present invention and supervision image recording method thereof can automatically be judged scene and judge the point on opportunity of recording a video, to save the space.In addition, the present invention has increased that for example light source is strong and weak comes the method for the video recording point on opportunity of adjustment threshold value and buffering form automatically according to environmental parameter, avoids stopping video recording because of erroneous judgement causes, and can increase the judgment accuracy of keeping watch on the image recording system.
For make above-mentioned and other purposes of the present invention, feature and advantage can be more obviously understandable, the hereinafter spy enumerates preferred embodiment, and cooperates appended accompanying drawing, elaborates as follows.
Description of drawings
Fig. 1 shows the surveillance according to the embodiment of the invention.
Fig. 2 shows a flow chart according to the supervision image recording method of the embodiment of the invention.
Fig. 3 shows the flow chart according to the supervision image recording method of another embodiment of the present invention.
Fig. 4 shows the corresponding curve according to the dynamic threshold of the embodiment of the invention.
The primary clustering symbol description:
100 surveillances; 134 threshold value generation modules;
110 image acquisition units; 140 memory cell;
120 image analysing computer unit; The S202-S214 execution in step;
130 image process units; The S302-S322 execution in step.
132 brightness calculation modules;
Embodiment
Fig. 1 shows the surveillance according to the embodiment of the invention.As shown in the figure, surveillance 100 comprises an image acquisition unit 110, an image analysing computer unit 120, an image process unit 130 and a memory cell 140 at least.Image acquisition unit 110 (for example video camera) is kept watch on image in order to capture/to record one.Wherein, the supervision image of acquisition can be the image in particular monitored zone, in order to the judgement of the mobile object of aid in later.Image analysing computer unit 120 is coupled to image acquisition unit 110, can keep watch in the image by one according to a special algorithm and isolate a prospect image and a background video.For instance; Image analysing computer unit 120 time calculus of finite differences capable of using (temporal difference method), the supervision image according to supervision image that obtains at present and previous gained obtains background video; Utilize a background subtracting method again; According to keeping watch on image and background video, obtain the prospect image, but be not limited thereto.
Wherein, time differencing method is mainly considered the prospect image of the background video of previous supervision image with present supervision image, calculates the background video of present supervision image.Because the method is dynamically and continuously to make context update, so for the change of light very strong adaptive faculty is arranged.The formula of time differencing method is as shown in the formula shown in (1):
B(x，y，t)＝(1-α)*B(x，y，t-1)+α*I(x，y，t)……………(1)
Wherein, the background video that B express time calculus of finite differences is obtained, I representes present image, x, y remarked pixel position, t representes to put sometime resulting supervision image, and α representes an adaptation value.Experiment is obtained when α=0.05, between renewal rate and dynamic object are differentiated, can obtain the balance point of the best.In formula (1), suppose α=0.05 o'clock, its meaning is for obtaining the time differencing method background video (B (x of present supervision image; Y, t)) must be by time differencing method module ((1-α) * B (x, the y of 95% previous supervision image; T-1)) add 5% present supervision image (α * I (x, y, t)).
Because image acquisition unit 110 must constantly be in the state of unlatching for a long time; Therefore can run into slowly news more of many scenes; For example the sun is slowly gone down the hill, picture lightness deepening gradually, and employing the method can constantly dynamically update background and be again an algorithm fast.
Then, utilize the background subtracting method shown in the formula (2) again, with present image (I (x, y, t)) and the background video that utilizes time differencing method to obtain subtract each other, so just can obtain prospect image S (x, y, t):
S(x，y，t)＝I(x，y，t)-B(x，y，t)…………………………(2)
Wherein, (x, y t) are object in moving to this prospect S.
Fig. 2 shows a flow chart according to the supervision image recording method of the embodiment of the invention.Supervision image recording method according to the embodiment of the invention goes on the surveillance as shown in Figure 1 100.
At first, like step S202, keep watch on image through image acquisition unit 110 acquisitions one.Wherein, comprise a prospect image and a background video in the supervision image.The kind that depends on image acquisition unit 110, the supervision image that captures can be a gray scale image or non-gray scale image for example a colored RGB image or a polychrome rank image.
Then, like step S204, the supervision image that the supervision image and that image analysing computer unit 120 receives and foundation is captured had before captured, and utilize a special algorithm, obtain a prospect image and a background video.What must remind is; In this step; When being gray scale image (for example colored RGB image or polychrome rank image) as if the image that captures is non-; For convenience of calculation, the supervision image that image analysing computer unit 120 can will capture earlier transfers corresponding gray scale image to, respectively each gray scale image is carried out follow-up calculation process again.For instance; Image analysing computer unit 120 aforesaid time differencing methods capable of using, the supervision image according to supervision image that obtains at present and previous gained obtains background video; Utilize aforesaid background subtracting method again; According to keeping watch on image and background video, obtain the prospect image, the object in moving is separated from image.
After image analysing computer unit 120 obtains prospect image and background video, prospect image and background video are delivered to image process unit 130.Like step S206, image process unit 130 produces a monochrome information and a threshold value according to prospect image and background video respectively.Wherein, Brightness calculation module 132 in the image process unit 130 can be calculated a total color density (for example gray value) of all pixels in the prospect image earlier, utilize the number of total color density divided by total pixel again; Obtain an average color concentration, this average color concentration is made as the monochrome information of prospect image.134 of threshold value generation modules can according to the environmental information of background video for example its light-source brightness information produce a threshold value.Wherein, this threshold value can be adjusted according to the environment of keeping watch on scene dynamically.Wherein, threshold value generation module 134 is adjusted threshold value according to a monochrome information of background video, and wherein when monochrome information representes that scene is brighter, threshold value will be enhanced, and when monochrome information representes that scene is dark, threshold value will be lowered.
Then, like step S208, image process unit 130 has judged whether that according to monochrome information and threshold value that step S206 calculates a mobile object comes across in the supervision image.For instance, image process unit 130 can judge whether monochrome information has determined whether that greater than threshold value mobile object comes across in the supervision image.In one embodiment, when monochrome information during greater than threshold value, image process unit 130 assert that just having mobile object comes across and keep watch in the image.Come across (step S208 is) when keeping watch in the image when being judged as mobile object, like step S210, expression has object to get into monitor area, just begin to record the supervision image.At this moment, image process unit 130 will cause image acquisition unit 110 to begin to record the supervision image, and the supervision image that will record is stored in the memory cell 140.Flow process is then got back to step S202 acquisition supervision image next time and is judged.
When being judged as when not having mobile object to come across to keep watch in the image (step S208 not),, then directly get back to step S202 acquisition supervision image next time and judge if this fashion does not begin recording image.If begin recording image, like step S212, image process unit 130 has judged whether that then mobile object disappears in the supervision image.In one embodiment, when monochrome information was less than or equal to threshold value, image process unit 130 was just assert and possibly disappeared in the supervision image by mobile object.When being judged as mobile object when still keeping watch in the image (step S212 not), directly get back to step S202 acquisition supervision image next time and judge.Disappeared to (step S212 is) when keeping watch in the image when being judged as mobile object, like step S214, the expression object has disappeared to monitor area, just stop to record the supervision image.At this moment, image process unit 130 will cause image acquisition unit 110 to stop to record the supervision image.
In one embodiment; To lose the camera lens that any object gets into picture in order trying not, therefore, more to adopt two threshold values: begin to record threshold value and stop to record threshold value; Respectively in order to represent the first set number of times and the second set number of times; Whether begin or stop recording image in order to differentiation, and wherein stop to record threshold value, change the erroneous judgement that is caused to avoid suddenly too high noise or flashy brightness greater than beginning to record threshold value.If detected scene pixel mean value when being higher than the dynamic threshold of being calculated, then adds one with the prospect count value, and the recording image that not will begin in a minute, greater than preset when beginning to record a video threshold value (the first set number of times), system just begins video recording up to the prospect count value.After system began recording image, image process unit 130 can more utilize a background count value to determine whether stopping recording image.If detected scene pixel mean value is lower than the dynamic threshold of being calculated, then the background count value is added one, do not stop video recording at once, stop recording image up to the background count value greater than preset stopping threshold value (the second set number of times) Shi Caihui that records a video.
Fig. 3 shows the flow chart according to the supervision image recording method of another embodiment of the present invention.In this embodiment, explanation for ease, image acquisition unit 110 is a video camera, keeping watch on image is a gray scale image, and the average color concentration (for example average gray value) of all pixels is represented in the monochrome information utilization supervision image.Wherein, each section of video camera special time cycle just captures one and keeps watch on image, to carry out subsequent analysis.
As shown in Figure 3, at first,, keep watch on image through image acquisition unit 110 acquisitions one like step S302.Wherein, comprise a prospect image and a background video in the supervision image.Then,, utilize aforementioned time differencing method,, obtain background video, and utilize aforementioned background subtracting method,, obtain the prospect image according to keeping watch on image and background video according to keeping watch on image and before having kept watch on image like step S304.Like step S306, calculate the average color concentration of prospect image, produce a monochrome information, and,, produce a threshold value according to background video like step S308.Similarly; Brightness calculation module 132 in the image process unit 130 can be calculated a total color density (for example gray value) of all pixels in the prospect image earlier, utilize the number of total color density divided by total pixel again; Obtain an average color concentration, this average color concentration is made as the monochrome information of prospect image.Threshold value generation module 134 can produce threshold value according to a monochrome information of background video, and wherein when monochrome information representes that scene is brighter, threshold value will be enhanced, and when monochrome information representes that scene is dark, threshold value will be lowered.
Then, image process unit 130 is according to monochrome information and the threshold value calculated, and the monochrome information that judges whether continuous supervision image reaches one first set number of times greater than threshold value continuously and judges that whether having mobile object to come across keeps watch in the image.Like step S310, image process unit 130 judges that whether monochrome information is greater than threshold value.If like step S312, image process unit 130 adds one with the prospect count value, then like step S314, whether the prospect count value after judgement adds up is greater than first a set numerical value (that is beginning the threshold value of recording a video).If the prospect count value not greater than first set numerical value, is got back to step S302, capture next supervision image and handle.When the monochrome information of continuous supervision image during all greater than threshold value; The prospect count value will be greater than first set numerical value (step S314 is), like step S316, at this moment; Image process unit 130 judges that having mobile object to come across keeps watch in the image, so just begin recording image.
Similarly, image process unit 130 is according to monochrome information and the threshold value calculated, and the monochrome information that judges whether continuous supervision image reaches one second set number of times less than threshold value continuously and judges whether this mobile object has disappeared to and keep watch in the image.If monochrome information is during smaller or equal to threshold value (step S310 not); Like step S318; Image process unit 130 adds one with the background count value, and then like step S320, whether the background count value after judgement adds up is greater than second a set numerical value (that is stopping the threshold value of recording a video).If the background count value not greater than second set numerical value, is got back to step S302, capture next supervision image and handle.When the monochrome information of continuous supervision image during all less than threshold value; The background count value will be greater than second set numerical value (step S320 is), at this moment, and like step S322; Image process unit 130 judges that mobile object has disappeared in the supervision image, so just stop recording image.
For instance, in one embodiment, object is arranged at present in picture if all judge in continuous 5 supervision images, just begin video recording, all judging in continuous 10 supervision images does not have object at present in picture, just stops video recording.Start and to count difference with the supervision image that stops to record a video and be to let surveillance begin video recording easily, and be not easy to stop video recording, in order to avoid miss mobile object, miss video recording opportunity.
In one embodiment; Image process unit 130 can further be divided into a plurality of intervals with keeping watch on image; Calculate a pixel average of the pixel in each interval; If wherein pixel average during greater than total pixel average one a set percentage of keeping watch on image, just can be judged as mobile object and come across in the supervision image.
In sum, according to supervision image recording system of the present invention and supervision image recording method thereof, can automatically judge scene and judge the point on opportunity of recording a video, to save the space.In addition, embodiments of the invention have increased that for example light source is strong and weak comes the method for the video recording point on opportunity of adjustment threshold value and buffering form automatically according to environmental parameter, avoid stopping video recording because of erroneous judgement causes, and can increase the judgment accuracy of keeping watch on the image recording system.
Method of the present invention; Or specific modality or its part, can be contained in tangible media with the form of program code, like floppy disk, discs, hard disk or any other machine-readable (like embodied on computer readable) storage medium; Wherein, When program code by machine, when being written into and carrying out like computer, this machine becomes in order to participate in device of the present invention.Method and apparatus of the present invention also can be with the program code form through some transmission mediums; Transmit like electric wire or cable, optical fiber or any transmission form; Wherein, When program code by machine, as computer receive, when being written into and carrying out, this machine becomes in order to participate in device of the present invention.When the general service processor is put into practice, the program code associative processor provides a class of operation to be similar to the unique apparatus of using particular logic circuit.
Though the present invention with preferred embodiment openly as above; Yet it is not in order to limit the present invention; Any those skilled in the art; Do not breaking away from the spirit and scope of the present invention, should do a little change and retouching, so the scope person of defining that protection scope of the present invention should be looked appending claims is as the criterion.
Claims (19)
1. keep watch on the image recording method for one kind,, comprise the following steps: in order to record the supervision image
Image is kept watch in acquisition one;
Keep watch on an image and a previous image of keeping watch on according to this, obtain a prospect image and a background video;
Produce a monochrome information and a threshold value according to this prospect image and this background video respectively;
According to this monochrome information and this threshold value, judged whether that a mobile object comes across in this supervision image; And
When being judged as this mobile object when coming across in this supervision image, begin to record this supervision image.
2. supervision image recording method as claimed in claim 1; Wherein this judges whether that the step that this mobile object comes across in this supervision image is to judge whether that this monochrome information reaches one first set number of times greater than this threshold value continuously; And when this monochrome information reaches this first set number of times greater than this threshold value continuously, be judged to be this mobile object and occurred.
3. supervision image recording method as claimed in claim 2 also comprises:
After beginning to record this supervision image,, judge whether that this mobile object has disappeared in this supervision image according to this monochrome information and this threshold value; And
When being judged as this mobile object when having disappeared in this supervision image, stop to record this supervision image.
4. supervision image recording method as claimed in claim 3; Wherein should be according to this monochrome information and this threshold value; Judge whether that the step that this mobile object has disappeared to this supervision image is to judge whether this monochrome information reaches one second set number of times less than this threshold value continuously; And when this monochrome information reaches this second set number of times less than this threshold value continuously, be judged as this mobile object and disappeared to this supervision image, wherein this second set number of times is greater than this first set number of times.
5. supervision image recording method as claimed in claim 1; Wherein this threshold value is adjusted according to a monochrome information of this background video, and wherein when this monochrome information represented that scene is brighter, this threshold value was enhanced; And when this monochrome information represented that scene is dark, this threshold value was lowered.
6. supervision image recording method as claimed in claim 1 wherein should also comprise according to the step of this this monochrome information of prospect image generation:
Calculate a total color density of all pixels in this prospect image;
Utilize this total color density, obtain an average color concentration; And
This average color concentration is made as this monochrome information.
7. supervision image recording method as claimed in claim 1 wherein should and be somebody's turn to do with reference to image according to this supervision image, and the step that obtains this prospect image and this background video also comprises:
Keep watch on image and should before keep watch on image according to this, obtain this background video; And
Keep watch on image and this background video according to this, obtain this prospect image.
8. supervision image recording method as claimed in claim 1, wherein this supervision image comprises a polychrome rank image, and this method also comprises: with this polychrome rank video conversion is at least one gray scale image.
9. supervision image recording method as claimed in claim 1 also comprises:
Should keep watch on image and be divided into a plurality of intervals;
Calculate a pixel average of the pixel in each these interval; And
If when this pixel average is kept watch on total pixel average one a set percentage of image greater than this, be judged as this mobile object appearance.
10. surveillance comprises:
One image acquisition unit, this image acquisition unit is kept watch on image in order to capture/to record one;
One image analysing computer unit, this image analysing computer unit is coupled to this image acquisition unit, in order to obtain this supervision image, keeps watch on an image and a previous image of keeping watch on according to this, obtains a prospect image and a background video; And
One image process unit; This image process unit is coupled to this image analysing computer unit; In order to produce a monochrome information and a threshold value according to this prospect image and this background video respectively,, judged whether that a mobile object occurs or disappears in this supervision image according to this monochrome information and this threshold value; Wherein when being judged as this mobile object when occurring; This image process unit causes this image acquisition unit to begin to record this supervision image, and when being judged as this mobile object disappearance, this image process unit causes this image acquisition unit to stop to record this supervision image.
11. surveillance as claimed in claim 10; Wherein this image process unit judges whether that the step that this mobile object comes across in this supervision image is to judge whether that this monochrome information reaches one first set number of times greater than this threshold value continuously; And when this monochrome information reaches this first set number of times greater than this threshold value continuously, be judged to be this mobile object and occurred.
12. surveillance as claimed in claim 11, wherein this image process unit also after beginning to record this supervision image, according to this monochrome information and this threshold value, judges whether that this mobile object has disappeared in this supervision image; When being judged as this mobile object when having disappeared in this supervision image, stop to record this supervision image.
13. surveillance as claimed in claim 12; Wherein this image process unit is according to this monochrome information and this threshold value; Judge whether that it is to judge whether this monochrome information reaches one second set number of times less than this threshold value continuously that this mobile object has disappeared to this supervision image; And when this monochrome information reaches this second set number of times less than this threshold value continuously, be judged as this mobile object and disappeared to this supervision image, wherein this second set number of times is greater than this first set number of times.
14. surveillance as claimed in claim 10; Wherein this image process unit is according to this threshold value of monochrome information adjustment of this background video, and wherein when this monochrome information represented that scene is brighter, this threshold value was enhanced; And when this monochrome information represented that scene is dark, this threshold value was lowered.
15. surveillance as claimed in claim 10; Wherein this image analysing computer unit produces a total color density, this total color density of utilization that this monochrome information also comprises all pixels in this prospect image of calculating according to this prospect image; Obtain an average color concentration, and this average color concentration is made as this monochrome information.
16. surveillance as claimed in claim 10, wherein this image analysing computer unit is kept watch on image according to this and is somebody's turn to do with reference to image, and the step that obtains this prospect image and this background video also comprises:
Keep watch on image and should before keep watch on image according to this, obtain this background video; And
Keep watch on image and this background video according to this, obtain this prospect image.
17. surveillance as claimed in claim 10, wherein this supervision image comprises a polychrome rank image, and this method also comprises: with this polychrome rank video conversion is at least one gray scale image.
18. surveillance as claimed in claim 10; Wherein this image process unit also will be kept watch on the pixel average that image is divided into a plurality of intervals, calculates the pixel in each these interval; And, be judged as this mobile object appearance when if this pixel average is kept watch on total pixel average one a set percentage of image greater than this.
19. a computer program, this computer program are written into to carry out one by a machine and keep watch on the image recording method, aforementioned calculation machine program product comprises:
One first program code, image is kept watch in this first program code acquisition one;
One second program code, this second program code is kept watch on an image and a previous image of keeping watch on according to this, obtains a prospect image and a background video;
One the 3rd program code, the 3rd program code produce a monochrome information and a threshold value according to this prospect image and this background video respectively;
One quadruple pass preface code, this quadruple pass preface code have judged whether that according to this monochrome information and this threshold value a mobile object comes across in this supervision image, and when being judged as this mobile object when coming across in this supervision image, begin to record this supervision image.
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| CN104378593A (en) * | 2014-11-17 | 2015-02-25 | 苏州立瓷电子技术有限公司 | Monitoring system intelligent control method based on data preprocessing and alternate storage |
| CN104378592A (en) * | 2014-11-17 | 2015-02-25 | 苏州立瓷电子技术有限公司 | Monitoring system with data preprocessing function |
| CN105812696A (en) * | 2014-12-30 | 2016-07-27 | 北京鸿合智能系统股份有限公司 | Recording and broadcasting method and device based on teacher position detection |
| CN105812695A (en) * | 2014-12-30 | 2016-07-27 | 北京鸿合智能系统股份有限公司 | Intelligent recording and broadcasting method and system |
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| CN110020991A (en) * | 2018-01-07 | 2019-07-16 | 宏达国际电子股份有限公司 | Mobile device and image treatment method |
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