CN105554414B - Strong Xanthophyll cycle method and device - Google Patents
Strong Xanthophyll cycle method and device Download PDFInfo
- Publication number
- CN105554414B CN105554414B CN201510937519.7A CN201510937519A CN105554414B CN 105554414 B CN105554414 B CN 105554414B CN 201510937519 A CN201510937519 A CN 201510937519A CN 105554414 B CN105554414 B CN 105554414B
- Authority
- CN
- China
- Prior art keywords
- block
- overexposure
- frame image
- line region
- virtually
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
- H04N23/75—Circuitry for compensating brightness variation in the scene by influencing optical camera components
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The present invention provides strong Xanthophyll cycle method and device, and this method includes：First virtual line of stumbling is set in the picture, and is multiple blocks by the first virtual line region division of stumbling；Current frame image first is obtained virtually to stumble the current signature parameter value of each block in line region；Whether according to the current signature parameter value of each block, judging current frame image first virtually to stumble in line region has overexposure block；If having overexposure block, the fixed reference feature parameter value that block is corresponded in reference frame image is extracted；Judge whether virtually the stumble overexposure block in line region of current frame image first is caused by moving light source；If caused by moving light source, then strong Xanthophyll cycle is started according to the current signature parameter value of overexposure block.Moving light source can be detected according to a small amount of brightness data in line region of virtually stumbling and to carrying out strong Xanthophyll cycle using the present invention, operand is low, and ISP chips support subregional spatial information (si), therefore the technical program practicality is high.
Description
Technical field
The present invention relates to field of video monitoring, more particularly to a kind of strong Xanthophyll cycle method and device.
Background technology
In the road monitoring application of field of video monitoring, night running vehicle can cause monitored picture many unfavorable
Influence, for example car light overexposure, background are excessively dark, halation is excessive, do not see car plate and the problems such as explosure flash.In order to avoid night row
The adverse effect caused by vehicle is sailed, the technical solution monitored round the clock can be used, i.e., close strong Xanthophyll cycle on daytime, opened at night
The monitoring scheme of strong Xanthophyll cycle is opened, but the road monitoring effect when monitoring scheme reduces night without car, therefore can use
A kind of detection night method for crossing car in real time, according to the strong Xanthophyll cycle of car situation automatic start-stop is crossed, takes into account night and crosses car and during without car
Video image quality.
In the prior art, using hardware resource, such as FPGA (Field-Programmable Gate Array, scene
Programmable gate array), DSP (Digital Signal Processor, Digital Signal Processing) chip, hardening operator etc., realize
Vehicle detection.Wherein it is using the existing scheme of dsp chip progress vehicle detection：Background modeling based on Gauss model, uses
Background subtraction extracts foreground target, and the virtual all pixels point stumbled on line of scanning, is judged whether by the corresponding feature of object
There is moving vehicle entrance.The prior art is subject to hardware limitation using dsp chip detection moving vehicle, and due to image slices vegetarian refreshments
More, so algorithm operation quantity is big, and transplantability is poor.
The content of the invention
The present invention provides a kind of strong Xanthophyll cycle method and device, is subject to hardware to limit to solve vehicle detection in the prior art
System, algorithm operation quantity, the problem of transplantability is poor.
First aspect according to embodiments of the present invention, there is provided a kind of strong Xanthophyll cycle method, before the method is applied to monitoring
End equipment, the described method includes：
First virtual line of stumbling is set in the picture, and is multiple blocks by the first virtual line region division of stumbling；
Current frame image first is obtained virtually to stumble the current signature parameter value of each block in line region；
According to the current signature parameter value of each block, judge that the current frame image first is virtually stumbled in line region
Whether there is overexposure block；
If having overexposure block, the fixed reference feature parameter value that block is corresponded in reference frame image is extracted；
According to the fixed reference feature parameter value, judge that virtually the stumble overexposure block in line region of the current frame image first is
No is caused by moving light source；
If caused by moving light source, then strong Xanthophyll cycle is started according to the current signature parameter value of the overexposure block.
Second aspect according to embodiments of the present invention, there is provided a kind of strong Xanthophyll cycle device, before described device is applied to monitoring
End equipment, described device include：
Setting unit, is more for setting the first virtual line of stumbling in the picture, and by the first virtual line region division of stumbling
A block；
Computing unit, virtually stumbles the current signature parameter value of each block in line region for obtaining current frame image first；
First judging unit, for the current signature parameter value according to each block, judges the current frame image
Whether there is overexposure block in first virtual line region of stumbling；
Extraction unit, if for having overexposure block, extracts the corresponding first virtual line of stumbling in N number of reference frame image
The fixed reference feature parameter value of each block in region；
Second judging unit, for according to the fixed reference feature parameter value, judging that the current frame image first is virtually stumbled
Whether the overexposure block in line region is caused by moving light source；
Strong Xanthophyll cycle unit, for if caused by moving light source, then being joined according to the current signature of the overexposure block
Numerical value starts strong Xanthophyll cycle.
Using the embodiment of the present invention, ISP (Image Signal Processor, picture signal in monitoring frontend
Processor) the subregional spatial information (si) of chip support, by setting the first virtual line of stumbling in the picture, and first is virtually stumbled
Line region division is multiple blocks；Then the current signature ginseng of the first virtual each block in line region of stumbling of current frame image is obtained
Numerical value；According to the current signature parameter value of each block, judging the current frame image first virtually to stumble in line region is
It is no that there is overexposure block；If overexposure block, then the fixed reference feature parameter value that block is corresponded in reference frame image is extracted；According to
The fixed reference feature parameter value, judges whether virtually the stumble overexposure block in line region of the current frame image first is moving light source
It is caused；If as caused by moving light source, then strong Xanthophyll cycle is started according to the current signature parameter value of the overexposure block.
Thus monitoring frontend can detect moving light source according to a small amount of brightness data in line region of virtually stumbling, namely detect traveling
Vehicle simultaneously carries out strong Xanthophyll cycle to overexposure caused by fleet vehicles, improves road at night time monitoring effect.Due to the technology of the present invention
Scheme can detect vehicle based on the low volume data in line region of virtually stumbling, therefore operand is low, and ISP chips generally prop up at present
Subregional spatial information (si) is held, therefore the technical program practicality is high.
Brief description of the drawings
Attached drawing herein is merged in specification and forms the part of this specification, shows the implementation for meeting the present invention
Example, and for explaining the principle of the present invention together with specification.
Fig. 1 is that the virtual line selection of stumbling in one embodiment of the present invention takes schematic diagram；
Fig. 2 is strong Xanthophyll cycle method flow diagram in one embodiment of the present invention；
Fig. 3 is a kind of hardware configuration of front end surveillance device where strong Xanthophyll cycle device in one embodiment of the present invention
Figure；
Fig. 4 is strong Xanthophyll cycle device block diagram in one embodiment of the present invention.
Embodiment
For ease of the understanding of the present invention, explanation is further explained with specific embodiment below in conjunction with attached drawing, it is real
Example is applied to be not intended to limit the scope of the present invention..
The concrete application scene of technical solution provided in an embodiment of the present invention is the road monitoring application of field of video monitoring,
It is used especially for road at night time monitoring scene, when night crosses car, front end surveillance device can be by setting in video frame images
The monochrome information in line region of virtually stumbling or frequency domain information determine whether that moving light source enters, and if it is quickly start strong light
Suppress strategy, prevent video pictures from exposing, be achieved in the strong Xanthophyll cycle of car.
In the present invention, characteristic parameter is for weighing the parameter of vedio data, can be luminance video, or
Frequency domain information.Wherein, frequency domain information is based on luminance video, and luminance video is high for high-frequency domain, brightness bottom for lower frequency region.
Technical solution of the present invention is described using characteristic parameter as brightness in present specification.
In addition, it is necessary to explanation, the technical solution of the present invention not virtual line of stumbling to being set in video frame images
Number, position are specifically limited, can at an arbitrary position, set any bar virtually to stumble line.Present specification is to set two void
Plan is stumbled and technical solution is introduced exemplified by line, but this is not intended to limit the scope of the present invention..Referring to Fig. 1, it is
Virtual line selection of stumbling in one embodiment of the present invention takes schematic diagram：Two virtual lines of stumbling are respectively set on image in Fig. 1
Edge and image lower edge, that is, be arranged on first and the 8th row, and the virtual line A1 that stumbles of image upper edge can be used for detection movement light
The entrance in source, the virtual line A2 that stumbles of image lower edge can be used for leaving for detection moving light source, and each area's numeral in the block is indicated
The brightness value of respective block；Virtual stumble line A1 and A2 positioned at two orientation additionally aid whether identification image is overall exposing.
The block divided in one virtual line region of stumbling is more, and when detecting vehicle, order of accuarcy is higher, but operand can also increase,
If the number of blocks in a virtual line region of stumbling is very few, line can be virtually continuously stumbled as a virtual Ban Xian area using a plurality of
Domain.
Referring to Fig. 2, strong Xanthophyll cycle method flow diagram in one embodiment of the present invention：
Step 201：First virtual line of stumbling is set in the picture, and is multiple areas by the first virtual line region division of stumbling
Block.
Due to there is ISP chips in monitoring frontend, and ISP chips have the subregional spatial information (si) of support, therefore can
It is multiple blocks by virtual line region division of stumbling.
Step 202：Current frame image first is obtained virtually to stumble the current signature parameter value of each block in line region.
When the sensor in front end surveillance device sends the data flow of certain two field picture to ISP chips, ISP chips can logarithm
According to stream be calculated the characteristic ginseng value of the two field picture, such as brightness value.
Specifically, can statistical picture upper edge and image lower edge two virtual each blocks in line region of stumbling brightness
Value, each virtual line region of stumbling include x block, can calculate the brightness value of each block, i.e. L_1, L_2, L_3 ... L_x.
It should be noted that it can also calculate the luminance mean value and brightness variance of each virtual x, line region block of stumbling.
Step 203：According to the current signature parameter value of each block, judge that the current frame image first is virtually stumbled
Whether there is overexposure block in line region.
Specifically, a predeterminable luminance threshold, the brightness value of the virtual each block in line region of stumbling of traversal, if virtually stumbled
The brightness of the block in line region is put more than the luminance threshold, then judges the block for overexposure block, recordable each line of virtually stumbling
The number of the overexposure block in region, the coordinate of overexposure block.
In order to realize technical solution of the present invention, a storage table or database can be established, for storing current frame image
Statistical information and N frame reference frame images statistical information, wherein statistical information includes frame number, virtual line numbering of stumbling, virtually stumbles
The characteristic ginseng value of each block in line region, the coordinate of overexposure block, the number of overexposure block, the feature ginseng in virtual line region of stumbling
Numerical value average, virtual line region current signature parameter value variance of stumbling.
If the A1 of current frame image virtually stumbles, there is overexposure block in line region, performs step 204, otherwise end operation.
Step 204：The fixed reference feature parameter value of block is corresponded in extraction reference frame image.
In order to the line region that judges virtually to stumble overexposure block whether be as caused by moving light source, can in advance in storage table or
The fixed reference feature parameter value of the correspondence block of N number of reference frame image is stored in person's database.
Step 205：According to the fixed reference feature parameter value, judge that the current frame image first is virtually stumbled the mistake in line region
Expose whether block is caused by moving light source.
In a kind of possible implementation, according to the fixed reference feature parameter value, the current frame image first is judged
Whether the overexposure block in virtual line region of stumbling is to include the step of moving light source causes：Judge that current frame image first is virtually stumbled line
Whether the overexposure block in region is overexposure block in the correspondence block of reference frame image；If it is not, then think that overexposure block is
Caused by moving light source.If overexposure block is not overexposure block in reference image frame, illustrate that overexposure block is become
Change, it is as caused by moving light source to illustrate overexposure block, and it is probably by fixed light source, as street lamp draws otherwise to illustrate the overexposure block
Rise.
In alternatively possible implementation, according to the fixed reference feature parameter value, the current frame image is judged
Whether the overexposure block in one virtual line region of stumbling is to include the step of moving light source causes：Judge that the current frame image first is empty
Whether the quantity of overexposure block in line region of intending stumbling is equal to the first virtual number of blocks that line region is divided of stumbling；If equal to
It is overall overexposure or region overexposure then to judge the current frame image；If region overexposure, then it is assumed that the present frame figure
As caused by the overexposure block in the first virtual line region of stumbling is moving light source.Specifically, if the institute in the first virtual line region of stumbling
It is all overexposure block to have block, then illustrates that first virtually stumbles line region there occurs overall overexposure, due to the first virtual line region of stumbling
Overall overexposure cannot illustrate entire image there occurs overall overexposure, thus can determine whether current frame image be overall overexposure also
It is region overexposure, if entire image is region overexposure, is made it is believed that the current frame image is large car either more cars
Into the first virtual line region of stumbling overall overexposure, be caused by moving light source.
In a kind of possible implementation, judge that current frame image is overall overexposure or region overexposure, including：Institute
State and the second virtual line of stumbling is set in image, the block that second virtual the first virtual line region of stumbling of line region correspondence of stumbling has divided is drawn
Blockette, the average and second for the characteristic ginseng value of each block in line region of virtually being stumbled according to the current frame image first
The characteristic ginseng value of each block being worth in virtual line region of stumbling as a result, judge current frame image be overall overexposure or
Region overexposure.
Specifically, if the characteristic parameter of the first virtual each block in line region of stumbling is worth average and the second virtual line region of stumbling
The characteristic ginseng value average difference of interior each block is smaller or without difference, then it is overall overexposure to judge the current frame image；
Otherwise judge that current frame image is region overexposure, and the region overexposure is caused by moving light source.
In alternatively possible implementation, it is the step of overall overexposure or region overexposure to judge the current frame image
Suddenly include：Virtually stumbled the variance of the characteristic ginseng value of each block and reference in line region according to the current frame image first
Two field picture first virtually stumble that the variance of the characteristic ginseng value of each block in line region obtains as a result, judging the current frame image
It is overall overexposure or region overexposure.
Specifically, N number of first fixed reference feature parameter in the corresponding first virtual line region of stumbling in N number of reference frame image is extracted
It is worth variance, if according to N number of first fixed reference feature parameter value variance, determines the first virtual line region of stumbling in the current frame image
Current reference characteristic ginseng value variance gradually change, then judge current frame image be overall overexposure；If according to N number of
One fixed reference feature parameter value variance, determines the current reference characteristic ginseng value in the first virtual line region of stumbling in the current frame image
Variance is mutation, then judges that current frame image is region overexposure.
If image overexposure caused by moving light source, then step 206 is performed.
Step 206：Strong Xanthophyll cycle is started according to the current signature parameter value of the overexposure block.
Since the requirement of real-time of road monitoring is higher, when detecting that there was car at night, with the most highlighted of overexposure block
Angle value is exposure target value, and strong Xanthophyll cycle strategy capable of fast starting, the adjustment of automatic exposure can be improved in order to quickly suppress strong light
Speed and step-length, other relevant parameters of monitoring image also need quickly to be adjusted to the parameter value for suppressing strong light.
Step 207：After starting strong Xanthophyll cycle, according to the strong Xanthophyll cycle of preset value time-delay closing.
One can be specially set virtually to stumble line to detect the monitoring area whether moving light source leaves leading portion monitoring device, such as
Fruit is, then can be according to the strong Xanthophyll cycle of preset value time-delay closing.
When specifically, due to being adjusted repeatedly to video image progress image exposure and other image parameters in a short time,
Live effect can be caused unstable, image exposure caused by discontinuity crosses car in order to prevent and other image parameters adjust repeatedly,
It can be left in moving light source and close strong Xanthophyll cycle at a slow speed, that is, reduced adjusting step-length or enable delay mechanism, you can delay is certain
Time after close strong Xanthophyll cycle strategy at a slow speed again.
Further, since the mode that technical solution of the present invention employs virtual line region of stumbling counts video frequency feature data, data
Amount is much less compared to whole image, therefore operand is much less, and on the premise of vehicle detection performance is not influenced, can be adopted
Many Detection is taken with the accuracy of lifter motion light source detection.
According to the embodiment shown in Fig. 2, since ISP chips have the characteristic for supporting subregional spatial information (si), lead to
Cross and the first virtual line of stumbling is set in the picture, and be multiple blocks by the first virtual line region division of stumbling；Then obtain current
The current signature parameter value of the virtual each block in line region of stumbling of the first of two field picture；Joined according to the current signature of each block
Whether numerical value, judging the current frame image first virtually to stumble in line region has overexposure block；If overexposure block, then carry
Take the fixed reference feature parameter value that block is corresponded in reference frame image；According to the fixed reference feature parameter value, the present frame is judged
Whether virtually the stumble overexposure block in line region of image first is caused by moving light source；If as caused by moving light source, then
Strong Xanthophyll cycle is started according to the current signature parameter value of the overexposure block.Thus monitoring frontend can be according to virtual Ban Xian areas
A small amount of brightness data in domain detects moving light source, namely detects driving vehicle and overexposure caused by fleet vehicles is carried out strong
Xanthophyll cycle, improves road at night time monitoring effect.Since technical solution of the present invention can a small amount of number based on line region of virtually stumbling
According to detecting vehicle, therefore operand is low, and ISP chips generally support subregional spatial information (si), therefore this technology side at present
Case practicality is high.
Referring to Fig. 3, for a kind of hardware of front end surveillance device where strong Xanthophyll cycle device in one embodiment of the present invention
Structure chart：
The embodiment of strong Xanthophyll cycle device of the invention can be applied in front end surveillance device.Device embodiment can pass through
Software is realized, can also be realized by way of hardware or software and hardware combining.Exemplified by implemented in software, anticipate as a logic
Device in justice, is to be read corresponding computer program instructions in nonvolatile memory by the CPU of equipment where it
Operation is formed in memory.For hardware view, as shown in figure 3, being strong Xanthophyll cycle device in one embodiment of the present invention
A kind of hardware structure diagram of place front end surveillance device, except CPU, ISP chip shown in Fig. 3, memory, network interface and
Outside nonvolatile memory, the equipment in embodiment where device can also usually include other hardware.
It is strong Xanthophyll cycle device block diagram in one embodiment of the present invention referring to Fig. 4, which is applied to front end monitoring and sets
It is standby upper：
Described device includes：Setting unit 410, computing unit 420, the first judging unit 430, extraction unit 440, second
Judging unit 450, strong Xanthophyll cycle unit 460.
Setting unit 410, is for setting the first virtual line of stumbling in the picture, and by the first virtual line region division of stumbling
Multiple blocks；
Computing unit 420, virtually stumbles the current signature parameter of each block in line region for obtaining current frame image first
Value；
First judging unit 430, for the current signature parameter value according to each block, judges the present frame figure
As whether there is overexposure block in the first virtual line region of stumbling；
Extraction unit 440, if for having overexposure block, it is virtual to extract in N number of reference frame image corresponding first
Stumble line region each block fixed reference feature parameter value；
Second judging unit 450, for according to the fixed reference feature parameter value, judging that the current frame image first is virtual
Whether the overexposure block in line region of stumbling is caused by moving light source；
Strong Xanthophyll cycle unit 460, for if caused by moving light source, then according to the current signature of the overexposure block
Parameter value starts strong Xanthophyll cycle.
Optionally, second judging unit 450 includes：First subelement 451, for judging that current frame image first is empty
Whether the overexposure block in line region of intending stumbling in the correspondence block of reference frame image is overexposure block；Second subelement 452, for such as
Fruit is not overexposure block, then it is assumed that overexposure block is caused by moving light source.
Second judging unit 450 further includes：3rd subelement 453, for judging that the current frame image first is virtually stumbled
Whether the quantity of the overexposure block in line region is equal to the first virtual number of blocks that line region is divided of stumbling；4th subelement 454,
For if equal to, then it is overall overexposure or region overexposure to judge the current frame image；5th subelement 455, for such as
Fruit is region overexposure, then it is assumed that virtually the stumble overexposure block in line region of the current frame image first is caused by moving light source.
Specifically, the 4th subelement 454, it is virtual by second specifically for setting the second virtual line of stumbling in described image
The block division block that the first virtual line region of stumbling of line region correspondence of stumbling has divided, it is empty according to the current frame image first
Intend stumbling in line region the characteristic ginseng value of each block in the average of the characteristic ginseng value of each block and the second virtual line region of stumbling
It is being worth to as a result, judging that current frame image is overall overexposure or region overexposure；Alternatively, according to the present frame figure
As in the first virtual line region of stumbling the variance of the characteristic ginseng value of each block and reference frame image first virtually stumble it is each in line region
It is that the variance of the characteristic ginseng value of block obtains as a result, judging that the current frame image is overall overexposure or region overexposure.
Optionally, strong Xanthophyll cycle unit 460, is additionally operable to after strong Xanthophyll cycle is started, according to the strong light of preset value time-delay closing
Suppress.
Optionally, the setting unit 410, specifically for setting at least two virtual lines of stumbling in the picture, including
First virtual mix line and virtual mix leaving for line away from first and virtually mix line.
The function of unit and effect realizes that process specifically refers to step is corresponded in the above method in above device
Realize process, details are not described herein.
Those skilled in the art will readily occur to the present invention its after considering specification and putting into practice invention disclosed herein
Its embodiment.This application is intended to cover the present invention any variations, uses, or adaptations, these modifications, purposes or
Person's adaptive change follows the general principle of the present invention and including undocumented common knowledge in the art of the invention
Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is only limited by appended claim.
Claims (12)
- A kind of 1. strong Xanthophyll cycle method, it is characterised in that the method is applied to monitoring frontend, the described method includes：First virtual line of stumbling is set in the picture, and is multiple blocks by the first virtual line region division of stumbling；Current frame image first is obtained virtually to stumble the current signature parameter value of each block in line region；According to the current signature parameter value of each block, judge whether the current frame image first virtually stumbles in line region With overexposure block；If having overexposure block, the fixed reference feature parameter value that block is corresponded in reference frame image is extracted；According to the fixed reference feature parameter value, judge the current frame image first virtually stumble line region overexposure block whether be Caused by moving light source；If caused by moving light source, then strong Xanthophyll cycle is started according to the current signature parameter value of the overexposure block；Wherein, the characteristic parameter is including the luminance video or based on luminance video for weighing the parameter of vedio data Frequency domain information.
- 2. according to the method described in claim 1, it is characterized in that, according to the fixed reference feature parameter value, judge described current Whether virtually the stumble overexposure block in line region of two field picture first is that step caused by moving light source includes：Judge virtually the stumble overexposure block in line region of the current frame image first is in the correspondence block of the reference frame image No is overexposure block；If it is not, then think that overexposure block is caused by moving light source.
- 3. according to the method described in claim 1, it is characterized in that, described according to the fixed reference feature parameter value, described in judgement Whether virtually the stumble overexposure block in line region of current frame image first is that step caused by moving light source includes：Judge whether virtually the stumble quantity of overexposure block in line region of the current frame image first is equal to the first virtual Ban Xian areas The number of blocks that domain is divided；If equal to then judge that the current frame image is overall overexposure or region overexposure；If region overexposure, then it is assumed that virtually the stumble overexposure block in line region of the current frame image first is that moving light source draws Rise.
- 4. according to the method described in claim 3, it is characterized in that, judge that the current frame image is overall overexposure or region The step of overexposure, includes：Second virtual line of stumbling is set in described image, and the second virtual line region of stumbling is corresponded to first virtually stumbles Block that line region has divided division block, the spy for each block in line region of virtually being stumbled according to the current frame image first The characteristic ginseng value of each block is being worth to as a result, described in judgement in the average of sign parameter value and the second virtual line region of stumbling Current frame image is overall overexposure or region overexposure；Alternatively, judge that the step of current frame image is overall overexposure or region overexposure includes：According to more described current Virtually the stumble variance of the characteristic ginseng value of each block and the reference frame image first in line region of two field picture first is virtually stumbled line region It is that the variance of the characteristic ginseng value of interior each block obtains as a result, judging that the current frame image is overall overexposure or region mistake Expose.
- 5. according to the method described in claim 1, it is characterized in that, the method further includes：After starting strong Xanthophyll cycle, according to pre- If it is worth the strong Xanthophyll cycle of time-delay closing.
- 6. according to the method described in claim 1, it is characterized in that, at least two virtual lines of stumbling are set in the picture, wherein wrapping First is included virtual to mix line and virtual mix leaving for line away from first and virtually mix line.
- 7. a kind of strong Xanthophyll cycle device, it is characterised in that described device is applied to monitoring frontend, and described device includes：Setting unit, is multiple areas for setting the first virtual line of stumbling in the picture, and by the first virtual line region division of stumbling Block；Computing unit, virtually stumbles the current signature parameter value of each block in line region for obtaining current frame image first；First judging unit, for the current signature parameter value according to each block, judges the current frame image first Whether there is overexposure block in virtual line region of stumbling；Extraction unit, if for having overexposure block, extracts the corresponding first virtual line region of stumbling in N number of reference frame image Each block fixed reference feature parameter value；Second judging unit, for according to the fixed reference feature parameter value, judging the virtual Ban Xian areas of the current frame image first Whether the overexposure block in domain is caused by moving light source；Strong Xanthophyll cycle unit, for if caused by moving light source, then according to the current signature parameter value of the overexposure block Start strong Xanthophyll cycle；Wherein, the characteristic parameter is including the luminance video or based on luminance video for weighing the parameter of vedio data Frequency domain information.
- 8. device according to claim 7, it is characterised in that second judging unit includes：First subelement, for judge the current frame image first virtually stumble line region overexposure block in reference frame image Whether corresponding block is overexposure block；Second subelement, for if not overexposure block, then it is assumed that overexposure block is caused by moving light source.
- 9. device according to claim 7, it is characterised in that second judging unit further includes：3rd subelement, for judging whether virtually the stumble quantity of overexposure block in line region of the current frame image first is equal to The first virtual number of blocks that line region is divided of stumbling；4th subelement, for if equal to, then it is overall overexposure or region overexposure to judge the current frame image；5th subelement, for if region overexposure, then it is assumed that the current frame image first is virtually stumbled the overexposure in line region Block is caused by moving light source.
- 10. device according to claim 9, it is characterised in that the 4th subelement, specifically in described image Second virtual line of stumbling is set, the block that second virtual the first virtual line region of stumbling of line region correspondence of stumbling has divided is divided into block, Virtually stumbled in line region and the average of the characteristic ginseng value of each block and second virtually stumbled according to the current frame image first The characteristic ginseng value of each block is being worth to as a result, judging that the current frame image is overall overexposure or area in line region Domain overexposure；Alternatively,Virtually stumbled according to the current frame image first variance and reference frame of the characteristic ginseng value of each block in line region Image first virtually stumble that the variance of the characteristic ginseng value of each block in line region obtains as a result, judging that the current frame image is Overall overexposure or region overexposure.
- 11. device according to claim 7, it is characterised in that the strong Xanthophyll cycle unit, is additionally operable to starting strong light suppression After system, according to the strong Xanthophyll cycle of preset value time-delay closing.
- 12. device according to claim 7, it is characterised in that the setting unit, specifically for set in the picture to Few two virtual lines of stumbling, virtually mix line including first and virtually mixing leaving for line virtually mix line away from first.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510937519.7A CN105554414B (en) | 2015-12-15 | 2015-12-15 | Strong Xanthophyll cycle method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510937519.7A CN105554414B (en) | 2015-12-15 | 2015-12-15 | Strong Xanthophyll cycle method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105554414A CN105554414A (en) | 2016-05-04 |
| CN105554414B true CN105554414B (en) | 2018-04-27 |
Family
ID=55833332
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510937519.7A Active CN105554414B (en) | 2015-12-15 | 2015-12-15 | Strong Xanthophyll cycle method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105554414B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106101568B (en) * | 2016-08-16 | 2021-06-01 | 北京中星微电子有限公司 | Strong light inhibition method and device based on intelligent analysis |
| CN109922274B (en) * | 2017-12-13 | 2021-05-14 | 深圳英飞拓科技股份有限公司 | Camera highlight suppression method and device based on histogram |
| CN109981971B (en) * | 2017-12-28 | 2022-03-11 | 浙江宇视科技有限公司 | Flashlight effect eliminating method and device |
| CN110891146B (en) * | 2018-09-10 | 2021-12-28 | 浙江宇视科技有限公司 | Strong light inhibition method and device |
| CN113259612A (en) * | 2021-07-14 | 2021-08-13 | 深圳市海清视讯科技有限公司 | Strong light inhibition method, device, equipment and computer readable storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251927A (en) * | 2008-04-01 | 2008-08-27 | 东南大学 | Vehicle detecting and tracing method based on video technique |
| CN201349263Y (en) * | 2009-01-23 | 2009-11-18 | 深圳市景阳科技股份有限公司 | Strong light suppression circuit and camera |
| CN102137231A (en) * | 2010-12-31 | 2011-07-27 | 天津市亚安科技电子有限公司 | Method and device for preventing highlights from directly irradiating light sensitive device of vidicon |
| CN102708548A (en) * | 2012-05-14 | 2012-10-03 | 陈军 | Night vision image enhancing method |
| CN103208185A (en) * | 2013-03-19 | 2013-07-17 | 东南大学 | Method and system for nighttime vehicle detection on basis of vehicle light identification |
| CN103780845A (en) * | 2014-02-28 | 2014-05-07 | 金三立视频科技（深圳）有限公司 | Method and device for strong light inhibition on basis of non-wide-dynamic function |
| CN204596151U (en) * | 2015-04-03 | 2015-08-26 | 广东安居宝智能控制系统有限公司 | Vehicle image acquisition system |
-
2015
- 2015-12-15 CN CN201510937519.7A patent/CN105554414B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101251927A (en) * | 2008-04-01 | 2008-08-27 | 东南大学 | Vehicle detecting and tracing method based on video technique |
| CN201349263Y (en) * | 2009-01-23 | 2009-11-18 | 深圳市景阳科技股份有限公司 | Strong light suppression circuit and camera |
| CN102137231A (en) * | 2010-12-31 | 2011-07-27 | 天津市亚安科技电子有限公司 | Method and device for preventing highlights from directly irradiating light sensitive device of vidicon |
| CN102708548A (en) * | 2012-05-14 | 2012-10-03 | 陈军 | Night vision image enhancing method |
| CN103208185A (en) * | 2013-03-19 | 2013-07-17 | 东南大学 | Method and system for nighttime vehicle detection on basis of vehicle light identification |
| CN103780845A (en) * | 2014-02-28 | 2014-05-07 | 金三立视频科技（深圳）有限公司 | Method and device for strong light inhibition on basis of non-wide-dynamic function |
| CN204596151U (en) * | 2015-04-03 | 2015-08-26 | 广东安居宝智能控制系统有限公司 | Vehicle image acquisition system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105554414A (en) | 2016-05-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105554414B (en) | Strong Xanthophyll cycle method and device | |
| EP3163501A1 (en) | Parking space detection apparatus and method electronic equipment | |
| US20170032514A1 (en) | Abandoned object detection apparatus and method and system | |
| CN110910655A (en) | Parking management method, device and equipment | |
| JP5019375B2 (en) | Object detection apparatus and object detection method | |
| CN101599175B (en) | Detection method for determining alteration of shooting background and image processing device | |
| WO2020154990A1 (en) | Target object motion state detection method and device, and storage medium | |
| CN111153300A (en) | Ladder taking method and system for robot, robot and storage medium | |
| JP2015036980A (en) | Hybrid method and system of video and vision based access control for parking stall occupancy determination | |
| JP6041515B2 (en) | Image processing apparatus and image processing method | |
| CN103186887A (en) | Image demisting device and image demisting method | |
| WO2011079691A1 (en) | Method and device for detecting nighttime vehicles | |
| TWI514327B (en) | Method and system for object detection and tracking | |
| CN110009634A (en) | Vehicle count method in a kind of lane based on full convolutional network | |
| KR20160089165A (en) | System and Method for Detecting Moving Objects | |
| WO2018068312A1 (en) | Device and method for detecting abnormal traffic event | |
| CN112906471A (en) | Traffic signal lamp identification method and device | |
| CN111079621A (en) | Method and device for detecting object, electronic equipment and storage medium | |
| WO2017028047A1 (en) | Background model extracting method and apparatus and image processing device | |
| CN107067734A (en) | A kind of urban signal controlling intersection vehicles are detained peccancy detection method | |
| CN113628202B (en) | Determination method, cleaning robot and computer storage medium | |
| WO2018058573A1 (en) | Object detection method, object detection apparatus and electronic device | |
| US20230005239A1 (en) | Image capturing method and device, apparatus, and storage medium | |
| JP7200893B2 (en) | Attached matter detection device and attached matter detection method | |
| JP2001043383A (en) | Image monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |