CN106385544A - Camera exposure adjustment method and apparatus - Google Patents
Camera exposure adjustment method and apparatus Download PDFInfo
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- CN106385544A CN106385544A CN201610843133.4A CN201610843133A CN106385544A CN 106385544 A CN106385544 A CN 106385544A CN 201610843133 A CN201610843133 A CN 201610843133A CN 106385544 A CN106385544 A CN 106385544A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/66—Remote control of cameras or camera parts, e.g. by remote control devices
- H04N23/661—Transmitting camera control signals through networks, e.g. control via the Internet
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/72—Combination of two or more compensation controls
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- General Physics & Mathematics (AREA)
- Exposure Control For Cameras (AREA)
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Abstract
The present invention discloses a camera exposure adjustment method and device. According to the camera exposure adjustment method and device, the illumination intensity measurement values of regions of interest which are sent by cameras are received; the correlation of the cameras is determined according to the average values of the illumination intensity measurement values of the regions of interest of each camera in different time periods; the cameras are divided into different groups; the average value of the illumination intensity measurement values of the regions of interest which are sent by all cameras in each group is calculated; the camera exposure quantity of each group is calculated according to the average value of the illumination intensity measurement values of the regions of interest of each group and the target brightness values of the regions of interest; the camera exposure quantity of each group is sent to all cameras in the same group; and the cameras carry out parameter adjustment according to received exposure quantity and then carry out follow-up image shooting; and therefore, the brightness of a license plate in a shot image can be consistent with the preset target brightness value of the license plate, and the stability of exposure adjustment for a license plate area and the promptness of pre-adjustment are improved.
Description
Technical field
The invention belongs to field of intelligent monitoring, more particularly, to a kind of camera exposure control method and device.
Background technology
In intelligent monitoring application, it usually needs the car plate in image become to camera and face are identified, because
The imaging effect of the area-of-interests such as this car plate, face is most important, and the imaging effect of these area-of-interests can directly affect
To follow-up intellectual analysis.And the imaging effect of these area-of-interests is close with the light exposure regulation of environment illumination intensity and camera
Inseparable, under strong smooth, backlit scene, need by using the light conditions of area-of-interest as camera exposure amount adjust according to
According to, to ensure under different light conditions, the brightness of the become image of these area-of-interests and definition.For example in strong backlight feelings
Under condition, if camera is using overall situation exposure, occur that the brightness of entire image of camera shooting and imaging effect are fine, but car
The brightness of the area-of-interest such as board and face is low, poor visibility, loss in detail serious, can lead to follow-up car plate or recognition of face
Cannot complete.
In order to solve the above problems, prior art is passed through to detect the brightness of area-of-interest in become image, and by feature
The brightness in region is compared with default luminance threshold, then generates adjustment factor according to comparison result, further according to generate
Adjustment factor adjusts the exposure parameter of camera.For example, patent CN201210535218.2 disclose a kind of with car plate as focus
Exposure method, the car plate brightness in the method Current camera shooting image is compared with default car plate luminance threshold, so
Exposure parameter according to comparison result regulation camera afterwards, and the exposure parameter after adjusting is shot as camera next time
Exposure parameter, makes the brightness of car plate and definition in image shot by camera get a desired effect.
Although prior art just can not solve in the become image of camera the brightness of the become image of area-of-interest and definition
Normal problem, but because prior art is all to carry out data sampling by one camera, therefore exist control lag and due to
The unstable problem of sample size is few and causes regulating effect.
Content of the invention
It is an object of the invention to provide a kind of camera exposure control method and device, solving camera to solve prior art
In become image during the bad problem of the imaging effect of area-of-interest, data sampling is carried out by one camera, there is regulation stagnant
The unstable problem of the regulating effect that causes afterwards and because sample size is few.
To achieve these goals, technical solution of the present invention is as follows：
A kind of camera exposure control method, described camera exposure control method, including：
For the camera in set point, according in the light exposure image become with camera of camera area-of-interest bright
Degree, calculates area-of-interest corresponding intensity of illumination metric in the become image of each camera；
According to area-of-interest corresponding intensity of illumination metric in the become image of camera each in set point, judge each phase
Dependency between machine, related camera is divided in same group；
For the camera being divided in same group in set point, count the corresponding illumination of camera area-of-interest in this group
The meansigma methodss of intensity value, according in this group counting camera area-of-interest corresponding intensity of illumination metric average
The target brightness value of value and area-of-interest calculates camera exposure amount in this group, and using the camera exposure calculating amount as this
The follow-up light exposure shooting of camera in group.
Further, area-of-interest corresponding intensity of illumination metric in the become image of described each camera, computing formula
As follows：
Wherein PBL is the brightness of area-of-interest, and S is the aperture time of camera, and G is the gain of camera, and AC is camera
Aperture transformation ratio, S*G*AC is the light exposure of camera, and α is the coefficient setting.
Further, area-of-interest corresponding intensity of illumination degree in described the become image according to camera each in set point
Value, judges the dependency between each camera, and related camera is divided in same group, including：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Simulated respectively respectively according to the meansigma methodss of area-of-interest corresponding intensity of illumination metric in the become image of camera
The corresponding matched curve of camera；
Calculate the similarity of the corresponding matched curve of each camera；
When similarity is more than the threshold value setting, judges that camera is related, related camera is divided in same group.
Further, area-of-interest corresponding intensity of illumination degree in described the become image according to camera each in set point
Value, judges the dependency between each camera, and related camera is divided in same group, including：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Calculate any two cameras area-of-interest corresponding intensity of illumination metric in the become image of same time period
Meansigma methodss between ratio；
When described ratio keeps within the specific limits, judging that two cameras are related, related camera being divided in same group.
Further, the described light exposure that the camera exposure calculating amount is subsequently shot as camera in this group, including：
Whether the difference judging the camera exposure amount and light exposure of camera current shooting calculating is more than the threshold setting
Value, the light exposure if so, then camera exposure calculating amount subsequently being shot as camera in this group.
The invention allows for a kind of camera exposure adjusting means, described camera exposure adjusting means, including：
Metric computing module, for the camera in set point, according to the light exposure image become with camera of camera
The brightness of middle area-of-interest, calculates area-of-interest corresponding intensity of illumination metric in the become image of each camera；
Camera grouping module, for strong according to the corresponding illumination of area-of-interest in the become image of camera each in set point
Degree metric, judges the dependency between each camera, related camera is divided in same group；
Light exposure computing module, for the camera being divided in same group in set point, counting camera sense in this group
The meansigma methodss of interest region corresponding intensity of illumination metric, according to the corresponding light of camera area-of-interest in this group counting
The target brightness value of the meansigma methodss according to intensity value and area-of-interest calculates camera exposure amount in this group, and will calculate
Camera exposure amount as the follow-up light exposure shooting of camera in this group.
Further, area-of-interest corresponding intensity of illumination metric in the become image of described each camera, computing formula
As follows：
Wherein PBL is the brightness of area-of-interest, and S is the aperture time of camera, and G is the gain of camera, and AC is camera
Aperture transformation ratio, S*G*AC is the light exposure of camera, and α is the coefficient setting.
Further, described camera grouping module corresponds to according to area-of-interest in the become image of camera each in set point
Intensity of illumination metric, judge the dependency between each camera, related camera be divided in same group, execution is following to grasp
Make：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Simulated respectively respectively according to the meansigma methodss of area-of-interest corresponding intensity of illumination metric in the become image of camera
The corresponding matched curve of camera；
Calculate the similarity of the corresponding matched curve of each camera；
When similarity is more than the threshold value setting, judges that camera is related, related camera is divided in same group.
Further, described camera grouping module corresponds to according to area-of-interest in the become image of camera each in set point
Intensity of illumination metric, judge the dependency between each camera, related camera be divided in same group, execution is following to grasp
Make：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Calculate any two cameras area-of-interest corresponding intensity of illumination metric in the become image of same time period
Meansigma methodss between ratio；
When described ratio keeps within the specific limits, judging that two cameras are related, related camera being divided in same group.
Further, the camera exposure calculating amount is subsequently shot by described light exposure computing module as camera in this group
Light exposure, execution is following to be operated：
Whether the difference judging the camera exposure amount and light exposure of camera current shooting calculating is more than the threshold setting
Value, the light exposure if so, then camera exposure calculating amount subsequently being shot as camera in this group.
The present invention proposes a kind of camera exposure control method and device, by the data processing server of rear end to each phase
In the image that machine sends, the intensity of illumination metric of area-of-interest is calculated and is processed, and all cameras in system are carried out
Divide packet, the then intensity of illumination meansigma methodss of area-of-interest and sense in the image according to cameras transmissions all in each group
The target brightness value in interest region calculates the camera exposure amount of each group, and the camera exposure amount that each is organized is sent to same group
In all cameras, camera adjusts the exposure parameter of camera according to the light exposure that receives, carries out follow-up image taking, make bat
Take the photograph the brightness of area-of-interest in image consistent with default area-of-interest target brightness value, and improve for sense in image
Stability and preregulated promptness that interest regional exposure is adjusted, optimize the Intelligent Measurement for car plate and identification.
Brief description
Fig. 1 is the networking structure schematic diagram of the present embodiment intelligent transportation electronic police system；
Fig. 2 a, Fig. 2 b by car plate in the become image of embodiment of the present invention equidirectional camera intensity of illumination metric white
It statistical graph；
Fig. 3 a, Fig. 3 b are the intensity of illumination of car plate in the become image of camera of the embodiment of the present invention identical crossing different directions
Metric is in the statistical graph on daytime；
Fig. 4 is camera exposure control method flow chart of the present invention；
Fig. 5 is the structure chart of camera exposure adjusting means of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples technical solution of the present invention is described in further details, following examples are not constituted
Limitation of the invention.
The present embodiment illustrates taking intelligent transportation electronic police system as a example, by the polyphaser linkage in set point
To be exposed adjusting.As shown in figure 1, having three crossroads in set point, each orientation stand in each crossroad
If an electronic police camera, the electronic police camera at each crossing is connected with the router at this crossing, then passes through IP network
Connect the data processing server of rear end.The present embodiment set point can be certain selected region, such as same street；
Or according to the radius setting, the coverage of whole intelligent transportation electronic police system is divided into multiple adjacent circle
Domain, each border circular areas is operated as a set point.
Affected by light source incident angle and intensity, the region of interest such as car plate in the become image of camera under identical light exposure
There is significant difference in the brightness in domain.The area-of-interest of the present embodiment image shot by camera is license plate area or front
The upper right corner of glass pastes the region of environmental protection mark, and the present embodiment illustrates taking license plate area as a example.For example, from West to East
Road scene in, morning frontlighting time period direct irradiation of sunlight car plate, camera can be obtained relatively using less light exposure
Bright car plate assumes effect；The shade of leads to car plate light filling not enough the backlight time period in the afternoon, and the car plate obtaining same brightness presents
Effect then needs bigger light exposure；And in the road scene from east orientation west, then antipodal situation occurs, that is, upper
The shade of backlight time period at noon leads to car plate light filling not enough, needs larger light exposure could obtain brighter car plate effect；Under
Noon frontlighting time period direct irradiation of sunlight car plate, same car plate brightness presents and only needs to less light exposure.
According to above-mentioned phenomenon, and due to car plate light-reflecting property keep constant it is known that the light exposure of car plate brightness and camera
And the intensity of illumination of car plate is related, the intensity of illumination metric that the present embodiment defines car plate surface is I, and：
Wherein, PBL is car plate brightness, and S is the aperture time of camera, and G is the gain of camera, and AC is the aperture conversion of camera
Coefficient, S*G*AC is the light exposure of camera.
It is easily understood that intensity of illumination metric I, can also be calculated by equation below：
Wherein α is the coefficient setting, a usually constant.
Below by the Changing Pattern of the intensity of illumination metric I on research car plate surface, to conclude multiphase in set point
Dependency between machine.According to statistical data, obtain car plate in the image formed by two equidirectional cameras at different crossings
The statistical result of intensity of illumination metric section during the day, as shown in Fig. 2 a, Fig. 2 b, as can be seen from the figure different crossings is same
In image formed by the camera of direction, the intensity of illumination metric of car plate has very strong similarity, but image formed by single camera
The numerical value of the intensity of illumination metric of middle car plate has difference.Separately, the formed figure of the camera of two different directions at identical crossing
As in car plate intensity of illumination section during the day statistical result, as shown in Figure 3 a and Figure 3 b shows, even if as can be seen from the figure position
In same place, because direction is different, in image formed by two cameras the intensity of illumination metric of car plate do not have any similar
Property.
In the present embodiment image according to formed by camera, the similarity between the intensity of illumination metric of car plate, comes to setting
In the range of polyphaser carry out dividing packet, the camera of the property of will have like is divided into one group, and the camera without similarity divides
Different groups.
It should be noted that the calculating of intensity of illumination metric, can be calculated it is also possible to by data by camera
Manage server to be calculated.When by data processing server to be calculated, camera reports light exposure and the car plate brightness to be
Can.Car plate brightness in the same manner can also be calculated by camera or data processing server is to be calculated, and repeats no more here.
Calculated in order to avoid concentrating on data processing server, the present embodiment preferably, is shooting phase by camera
After piece, calculate the brightness of area-of-interest (car plate), and intensity of illumination metric I is calculated according to light exposure.Thus data
Processing server by being calculated to the intensity of illumination metric of the car plate that each camera reports and can analyze and process, by camera
It is divided into different groups, the camera in every group has substantially common direction, and obtains on all cameras in each group by statistics
The meansigma methodss of the intensity of illumination metric of car plate of report, calculate the light exposure of each group camera, the camera in this group further
Shooting image is come with the light exposure calculating, makes the light exposure of camera more accurately and stable, improve and expose for area-of-interest
Stability and preconditioning that light is adjusted, optimize the Intelligent Measurement for area-of-interest and identification..
As shown in figure 4, a kind of the present embodiment camera exposure control method, including：
Step S1, for the camera in set point, according to region of interest in the light exposure image become with camera of camera
The brightness in domain, calculates area-of-interest corresponding intensity of illumination metric in the become image of each camera.
Every camera in the present embodiment set point all vehicles through this camera monitor area are captured or
Shoot video, such as in Fig. 1,12 cameras at three crossings are all taken pictures to all vehicles through this camera monitor area,
And orient license plate area from the every image shooting, then brightness statistics are carried out to license plate area, obtain in every image
Car plate brightness.The intensity of illumination metric computing formula of light exposure when then being taken pictures according to camera and above-mentioned car plate, meter
Calculate the intensity of illumination metric of car plate, and the data processing server that the intensity of illumination metric of car plate is sent to rear end enters
Row is processed.
Step S2, according to area-of-interest corresponding intensity of illumination metric in the become image of camera each in set point,
Judge the dependency between each camera, related camera is divided in same group.
After the data processing server of rear end receives the intensity of illumination metric of car plate of camera transmission, according to default
Time cycle, judge the dependency between each camera, camera each in set point is carried out divide packet.
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively first
The meansigma methodss of corresponding intensity of illumination metric.For example, 30 minutes of default time cycle, initial time is morning 7：30,
Have A, B, C, D, E totally 5 cameras in system, data processing server with 30 minutes as cycle, calculate respectively camera A, B, C,
D, E are 7：30～8：00、8：00～8：30、8：30～9：00 ... wait each time period in car plate intensity of illumination metric flat
Average.
Then, the meansigma methodss according to each camera intensity of illumination metric of car plate within each time period, judge set point
Dependency between interior each camera, related camera is divided into same group, incoherent camera is divided into different groups.
Specifically, judge dependency, can first according to camera the intensity of illumination metric of the car plate in each time period flat
Average simulates the corresponding matched curve of meansigma methodss of the intensity of illumination metric of the car plate of each camera respectively, then calculates each
The similarity of the corresponding matched curve of camera, the similarity of this matched curve is the intensity of illumination metric of car plate between camera
Meansigma methodss between dependency, when similarity be more than set threshold value when, judge camera correlation, related camera is divided in
Same group.
It should be noted that with regard to the calculating of curve similarity, possessing more conventional mathematical method in prior art, this
In repeat no more.Simultaneously for the judgement of dependency, as shown in Figure 3 a, 3 b, the matched curve difference of the camera of different directions
Very big, therefore set suitable threshold value, you can judge that the matched curve of which camera is similar, carry out packet and divide.With regard to correlation
The judgement of property, can also choose a camera, with this camera as standard, by the matched curve of other cameras and this phase from camera
Machine carries out Similarity Measure, finds out the camera similar to this camera as one group, then selects one from remaining camera again
Camera, as standard, proceeds Similarity Measure, finishes until dividing.
The present embodiment can also calculate the intensity of illumination tolerance of the car plate in each same time period for two cameras respectively
Ratio between the meansigma methodss of value, then the intensity of illumination metric according to this car plate in each time period for two cameras is average
Ratio relation between value, to judge the dependency between each camera.If ratio remains stable, that is, ratio is maintained at one
Determine in scope, such as fluctuating margin is within positive and negative 5%, or then thinks two camera phases within specific numerical value 0.8～1.2
Close, related camera is divided in same group.
Need explanation, the present embodiment to be judged with the meansigma methodss of the car plate intensity of illumination metric of default time cycle
Dependency, the car plate intensity of illumination metric that can also be directly shot with each time point is judged.The amount of calculation of the latter
More also more discrete greatly, the present embodiment preferably employs the former method and is judged, repeats no more here.
Step S3, for the camera being divided in same group in set point, count camera area-of-interest pair in this group
The meansigma methodss of the intensity of illumination metric answered, measure according to the corresponding intensity of illumination of camera area-of-interest in this group counting
The target brightness value of the meansigma methodss of value and area-of-interest calculates camera exposure amount in this group, and by the camera exposure calculating
Amount is as the follow-up light exposure shooting of camera in this group.
Camera in set point is divided into after different groups by the data processing server of the present embodiment rear end, real-time reception and
Count the intensity of illumination metric of the car plate that all cameras send in each group, and calculate what all cameras in each group sent
The meansigma methodss of the intensity of illumination metric of car plate, the intensity of illumination tolerance of the car plate then being sent according to cameras all in each group
Value meansigma methodss and default car plate target brightness value calculate the camera exposure amount of each group, and circular is：
Wherein, E is the light exposure of camera, and T is default car plate target brightness value,Send for cameras all in this group
The intensity of illumination metric of car plate meansigma methodss.
Then the camera exposure amount of each group calculating is sent to all cameras in same group, each camera is according to connecing
The light exposure that the back-end server receiving sends adjusts the parameters such as aperture time and the yield value of this camera, carries out successive image
Shoot, make the car plate brightness in shooting image consistent with default car plate object brightness.
It should be noted that the data processing server meeting of rear end calculated and update each group in real time or according to the time cycle
Camera exposure amount, and only calculate certain group camera exposure amount (go up with the light exposure of camera current shooting
The camera exposure amount of secondary transmission) difference be more than set threshold value after, just can by update after this group camera exposure amount send
To all cameras of this group, if the camera exposure amount calculating certain group is existed with the difference of the light exposure of camera current shooting
In the threshold range setting, then will not resend the camera exposure amount of this group.Camera holds server to send upon receipt
Before new light exposure, have been used up the light exposure that last time receives and carry out image taking, send out until receiving back-end server
The new light exposure sent.
The intensity of illumination metric of the car plate being sent according to camera in each group by said method, the present embodiment, is calculated
Go out the camera exposure amount of each group, and the camera exposure amount of each group is sent to all cameras in same group, camera is according to reception
To light exposure carry out after parameter adjustment, carrying out the shooting of successive image, make the brightness of car plate and default car plate in shooting image
Target brightness value is consistent, and improves the stability adjusting for license plate area exposure and preregulated promptness, optimizes pin
Intelligent Measurement to car plate and identification.
The present embodiment also proposed a kind of camera exposure adjusting means, corresponding with said method, as shown in figure 5, including：
Metric computing module, for the camera in set point, according to the light exposure image become with camera of camera
The brightness of middle area-of-interest, calculates area-of-interest corresponding intensity of illumination metric in the become image of each camera；
Camera grouping module, for strong according to the corresponding illumination of area-of-interest in the become image of camera each in set point
Degree metric, judges the dependency between each camera, related camera is divided in same group；
Light exposure computing module, for the camera being divided in same group in set point, counting camera sense in this group
The meansigma methodss of interest region corresponding intensity of illumination metric, according to the corresponding light of camera area-of-interest in this group counting
The target brightness value of the meansigma methodss according to intensity value and area-of-interest calculates camera exposure amount in this group, and will calculate
Camera exposure amount as the follow-up light exposure shooting of camera in this group.
Area-of-interest corresponding intensity of illumination metric in the become image of each camera of the present embodiment, computing formula is as follows：
Wherein PBL is the brightness of area-of-interest, and S is the aperture time of camera, and G is the gain of camera, and AC is camera
Aperture transformation ratio, S*G*AC is the light exposure of camera, and α is the coefficient setting.
The present embodiment camera grouping module is according to the corresponding light of area-of-interest in the become image of camera each in set point
According to intensity value, judge the dependency between each camera, related camera is divided in same group, execution is following to be operated：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Simulated respectively respectively according to the meansigma methodss of area-of-interest corresponding intensity of illumination metric in the become image of camera
The corresponding matched curve of camera；
Calculate the similarity of the corresponding matched curve of each camera；
When similarity is more than the threshold value setting, judges that camera is related, related camera is divided in same group.
The present embodiment camera grouping module is according to the corresponding light of area-of-interest in the become image of camera each in set point
According to intensity value, judge the dependency between each camera, related camera is divided in same group, can also carry out as follows
Operation：
Count area-of-interest in the become image of each camera in set point according to the default time cycle respectively to correspond to
Intensity of illumination metric meansigma methodss；
Calculate any two cameras area-of-interest corresponding intensity of illumination metric in the become image of same time period
Meansigma methodss between ratio；
When described ratio keeps within the specific limits, judging that two cameras are related, related camera being divided in same group.
The present embodiment light exposure computing module is using the camera exposure calculating amount as the follow-up exposure shooting of camera in this group
Light quantity, execution is following to be operated：
Whether the difference judging the camera exposure amount and light exposure of camera current shooting calculating is more than the threshold setting
Value, the light exposure if so, then camera exposure calculating amount subsequently being shot as camera in this group.
It should be noted that the metric computing module of the present embodiment camera exposure adjusting means, camera grouping module and
Light exposure computing module can all run on data processing server it is also possible to metric computing module is operated in camera
On, and camera grouping module and light exposure computing module are operated on data processing server, in being embodied as, according to choosing
Situations such as determine the disposal ability of the quantity of camera and server in scope determines adopted which kind of mode.
Above example only in order to technical scheme to be described rather than be limited, without departing substantially from the present invention essence
In the case of god and its essence, those of ordinary skill in the art work as and can make various corresponding changes and change according to the present invention
Shape, but these corresponding changes and deformation all should belong to the protection domain of appended claims of the invention.
Claims (10)
1. a kind of camera exposure control method is it is characterised in that described camera exposure control method, including：
For the camera in set point, according to the brightness of area-of-interest in the light exposure image become with camera of camera, count
Calculate area-of-interest corresponding intensity of illumination metric in the become image of each camera；
According to area-of-interest corresponding intensity of illumination metric in the become image of camera each in set point, judge each camera it
Between dependency, related camera is divided in same group；
For the camera being divided in same group in set point, count the corresponding intensity of illumination of camera area-of-interest in this group
The meansigma methodss of metric, according to the meansigma methodss of camera area-of-interest corresponding intensity of illumination metric in this group counting and
The target brightness value of area-of-interest calculates camera exposure amount in this group, and using the camera exposure calculating amount as in this group
The follow-up light exposure shooting of camera.
2. camera exposure control method according to claim 1 is it is characterised in that feel emerging in the become image of described each camera
The corresponding intensity of illumination metric in interesting region, computing formula is as follows：
Wherein PBL is the brightness of area-of-interest, and S is the aperture time of camera, and G is the gain of camera, and AC is the aperture of camera
Transformation ratio, S*G*AC is the light exposure of camera, and α is the coefficient setting.
3. camera exposure control method according to claim 1 it is characterised in that described according to camera each in set point
In become image, area-of-interest corresponding intensity of illumination metric, judges the dependency between each camera, by related camera
It is divided in same group, including：
Count the corresponding light of area-of-interest in the become image of each camera in set point according to the default time cycle respectively
Meansigma methodss according to intensity value；
Simulate each camera according to the meansigma methodss of area-of-interest corresponding intensity of illumination metric in the become image of camera respectively
Corresponding matched curve；
Calculate the similarity of the corresponding matched curve of each camera；
When similarity is more than the threshold value setting, judges that camera is related, related camera is divided in same group.
4. camera exposure control method according to claim 1 it is characterised in that described according to camera each in set point
In become image, area-of-interest corresponding intensity of illumination metric, judges the dependency between each camera, by related camera
It is divided in same group, including：
Count the corresponding light of area-of-interest in the become image of each camera in set point according to the default time cycle respectively
Meansigma methodss according to intensity value；
Calculate any two cameras in the become image of same time period area-of-interest corresponding intensity of illumination metric flat
Ratio between average；
When described ratio keeps within the specific limits, judging that two cameras are related, related camera being divided in same group.
5. camera exposure control method according to claim 1 it is characterised in that described by the camera exposure calculating amount
The light exposure subsequently shooting as camera in this group, including：
Judge whether the difference of the camera exposure amount and light exposure of camera current shooting calculating is more than the threshold value setting, if
It is, then using the camera exposure calculating amount as the follow-up light exposure shooting of camera in this group.
6. a kind of camera exposure adjusting means is it is characterised in that described camera exposure adjusting means, including：
Metric computing module, for the camera in set point, feeling according in the light exposure image become with camera of camera
The brightness in interest region, calculates area-of-interest corresponding intensity of illumination metric in the become image of each camera；
Camera grouping module, for according to area-of-interest corresponding intensity of illumination degree in the become image of camera each in set point
Value, judges the dependency between each camera, and related camera is divided in same group；
Light exposure computing module, interested for the camera being divided in same group in set point, counting camera in this group
The meansigma methodss of region corresponding intensity of illumination metric are strong according to the corresponding illumination of camera area-of-interest in this group counting
The target brightness value of the degree meansigma methodss of metric and area-of-interest calculates camera exposure amount in this group, and by the phase calculating
Machine light exposure is as the follow-up light exposure shooting of camera in this group.
7. camera exposure adjusting means according to claim 6 is it is characterised in that feel emerging in the become image of described each camera
The corresponding intensity of illumination metric in interesting region, computing formula is as follows：
Wherein PBL is the brightness of area-of-interest, and S is the aperture time of camera, and G is the gain of camera, and AC is the aperture of camera
Transformation ratio, S*G*AC is the light exposure of camera, and α is the coefficient setting.
8. camera exposure adjusting means according to claim 6 is it is characterised in that described camera grouping module is according to setting
In the range of area-of-interest corresponding intensity of illumination metric in the become image of each camera, judge the dependency between each camera,
Related camera is divided in same group, execution is following to be operated：
Count the corresponding light of area-of-interest in the become image of each camera in set point according to the default time cycle respectively
Meansigma methodss according to intensity value；
Simulate each camera according to the meansigma methodss of area-of-interest corresponding intensity of illumination metric in the become image of camera respectively
Corresponding matched curve；
Calculate the similarity of the corresponding matched curve of each camera；
When similarity is more than the threshold value setting, judges that camera is related, related camera is divided in same group.
9. camera exposure adjusting means according to claim 6 is it is characterised in that described camera grouping module is according to setting
In the range of area-of-interest corresponding intensity of illumination metric in the become image of each camera, judge the dependency between each camera,
Related camera is divided in same group, execution is following to be operated：
Count the corresponding light of area-of-interest in the become image of each camera in set point according to the default time cycle respectively
Meansigma methodss according to intensity value；
Calculate any two cameras in the become image of same time period area-of-interest corresponding intensity of illumination metric flat
Ratio between average；
When described ratio keeps within the specific limits, judging that two cameras are related, related camera being divided in same group.
10. camera exposure adjusting means according to claim 6 will be it is characterised in that described light exposure computing module will be counted
As the follow-up light exposure shooting of camera in this group, execution is following to be operated the camera exposure amount calculating：
Judge whether the difference of the camera exposure amount and light exposure of camera current shooting calculating is more than the threshold value setting, if
It is, then using the camera exposure calculating amount as the follow-up light exposure shooting of camera in this group.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108777768A (en) * | 2018-05-31 | 2018-11-09 | 中国科学院西安光学精密机械研究所 | A kind of fast automatic exposure regulating method based on calibration |
| CN109532651A (en) * | 2017-09-22 | 2019-03-29 | 丰田自动车株式会社 | System is supported in identification for vehicle |
| CN109559522A (en) * | 2019-01-21 | 2019-04-02 | 中控智慧科技股份有限公司 | A kind of adjustment method, telescopic column, video camera and storage medium |
| CN110753189A (en) * | 2019-12-25 | 2020-02-04 | 武汉精立电子技术有限公司 | Camera image capturing method and system |
| WO2020113833A1 (en) * | 2018-12-05 | 2020-06-11 | 北京图森未来科技有限公司 | Image exposure and gain adjusting method, imaging apparatus and vehicle |
| CN111434108A (en) * | 2017-12-20 | 2020-07-17 | 德州仪器公司 | Multi-camera image processing |
| CN111479070A (en) * | 2019-01-24 | 2020-07-31 | 杭州海康机器人技术有限公司 | Image brightness determination method, device and equipment |
| EP3967024A4 (en) * | 2019-06-27 | 2022-07-06 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for determining exposure parameter of an image capture device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101588515A (en) * | 2009-06-30 | 2009-11-25 | 北京空间机电研究所 | Self-adapting real-time regulating method for linear array remote sensing CCD camera dynamic range |
| CN101916455A (en) * | 2010-07-01 | 2010-12-15 | 清华大学 | Method and device for reconstructing three-dimensional model of high dynamic range texture |
| CN102629988A (en) * | 2012-03-31 | 2012-08-08 | 博康智能网络科技股份有限公司 | Automatic control method and device of camera head |
| US20130208140A1 (en) * | 2012-02-15 | 2013-08-15 | Harman Becker Automotive Systems Gmbh | Brightness adjustment system |
| CN103391404A (en) * | 2012-05-08 | 2013-11-13 | 展讯通信（上海）有限公司 | Automatic exposure method, device, camera device and mobile terminal |
| WO2015031113A1 (en) * | 2013-08-27 | 2015-03-05 | Qualcomm Incorporated | Systems, devices and methods for tracking objects on a display |
-
2016
- 2016-09-23 CN CN201610843133.4A patent/CN106385544B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101588515A (en) * | 2009-06-30 | 2009-11-25 | 北京空间机电研究所 | Self-adapting real-time regulating method for linear array remote sensing CCD camera dynamic range |
| CN101916455A (en) * | 2010-07-01 | 2010-12-15 | 清华大学 | Method and device for reconstructing three-dimensional model of high dynamic range texture |
| US20130208140A1 (en) * | 2012-02-15 | 2013-08-15 | Harman Becker Automotive Systems Gmbh | Brightness adjustment system |
| CN102629988A (en) * | 2012-03-31 | 2012-08-08 | 博康智能网络科技股份有限公司 | Automatic control method and device of camera head |
| CN103391404A (en) * | 2012-05-08 | 2013-11-13 | 展讯通信（上海）有限公司 | Automatic exposure method, device, camera device and mobile terminal |
| WO2015031113A1 (en) * | 2013-08-27 | 2015-03-05 | Qualcomm Incorporated | Systems, devices and methods for tracking objects on a display |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109532651A (en) * | 2017-09-22 | 2019-03-29 | 丰田自动车株式会社 | System is supported in identification for vehicle |
| US11700350B2 (en) | 2017-12-20 | 2023-07-11 | Texas Instruments Incorporated | Multi camera image processing |
| CN111434108B (en) * | 2017-12-20 | 2023-05-16 | 德州仪器公司 | Multi-camera image processing |
| CN111434108A (en) * | 2017-12-20 | 2020-07-17 | 德州仪器公司 | Multi-camera image processing |
| CN108777768A (en) * | 2018-05-31 | 2018-11-09 | 中国科学院西安光学精密机械研究所 | A kind of fast automatic exposure regulating method based on calibration |
| CN108777768B (en) * | 2018-05-31 | 2020-01-31 | 中国科学院西安光学精密机械研究所 | quick automatic exposure adjusting method based on calibration |
| WO2020113833A1 (en) * | 2018-12-05 | 2020-06-11 | 北京图森未来科技有限公司 | Image exposure and gain adjusting method, imaging apparatus and vehicle |
| CN109559522B (en) * | 2019-01-21 | 2021-09-28 | 熵基科技股份有限公司 | Debugging method, telescopic upright post, camera and storage medium |
| CN109559522A (en) * | 2019-01-21 | 2019-04-02 | 中控智慧科技股份有限公司 | A kind of adjustment method, telescopic column, video camera and storage medium |
| CN111479070A (en) * | 2019-01-24 | 2020-07-31 | 杭州海康机器人技术有限公司 | Image brightness determination method, device and equipment |
| EP3967024A4 (en) * | 2019-06-27 | 2022-07-06 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for determining exposure parameter of an image capture device |
| CN110753189B (en) * | 2019-12-25 | 2020-05-19 | 武汉精立电子技术有限公司 | Camera image capturing method and system |
| CN110753189A (en) * | 2019-12-25 | 2020-02-04 | 武汉精立电子技术有限公司 | Camera image capturing method and system |
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