CN102629988A - Automatic control method and device of camera head - Google Patents
Automatic control method and device of camera head Download PDFInfo
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- CN102629988A CN102629988A CN2012100922804A CN201210092280A CN102629988A CN 102629988 A CN102629988 A CN 102629988A CN 2012100922804 A CN2012100922804 A CN 2012100922804A CN 201210092280 A CN201210092280 A CN 201210092280A CN 102629988 A CN102629988 A CN 102629988A
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Abstract
The invention discloses an automatic control method and device of a camera head, is applied to the technical field of image collection, and is used for solving the stable imaging problems of the bayonet system and the like to a characteristic target area in the intelligent traffic field. The method comprises the steps as follows: setting the initial range values of the background brightness, the foreground target brightness and the object brightness according to experience or scene requirements; extracting the foreground target in the region to be detected, and calculating the brightness value of the foreground target; locating the target in the region to be detected by adopting the target location technology, and calculating the brightness value of the target; detecting the target area and panoramic picture according to the brightness value of the foreground target, and calculating the background brightness value; and obtaining a camera head control coefficient according to the foreground target brightness value, the background brightness value and the target brightness value, and selecting a camera control mode and a brightness control mode to control the automatic exposure and gain of the camera head. According to the embodiment of the invention, the target in the region to be determined can be clearly and effectively imaged, and the visual effect of the panorama is simultaneously considered.
Description
Technical field
The present invention relates to the acquisition technology field, relate in particular to a kind of camera autocontrol method and device.
Background technology
Camera automatic exposure control is meant that mainly the subjective vision with the people is a foundation, makes the optimized process of image brightness through the control exposure; Automatic gain control is the intensity that improves signal through the signal to noise ratio of amplifying scene.In the picture shooting process, if under-exposed, image can be very dark, if the over-exposed image that will cause is white excessively.
Such as can the field in intelligent transportation; As shown in Figure 1, because to pedestrian zone and the regional under-exposure of vehicle body, thereby cause people's face and car plate to blur; And it is as shown in Figure 2; Over-exposed to vehicle body zone, these carry out suitable exposure to specific target areas makes the too dark brightness of target area or white excessively, is unfavorable for the intellectual analysis of succeeding target.And when ambient lighting when not being very strong, the mean intensity of image can be reacted the light conditions of target, makes image more clear.When the light application ratio of imaging when stronger, the mean flow rate of image determines by background luminance, and the exposure control through the image intensity average will cause the improper exposure to specific objective.
At present; The automatic exposure control that video camera carries on the market and the method for gain controlling; Basically all be the control technology that adopts based on panorama sketch intensity, can not be satisfied with the brilliance control problem of systems such as bayonet system in the intelligent transportation field, electronic police system and intellectual analysis the special exercise target.But in content-based intelligent analysis system, the quality of image is very big to influences such as follow-up target following, target identification, and therefore, improving the image quality of camera in the characteristic target area is a suitable critical technical problems.
In open scene, ambient light can cause various illumination effect to the target area, comprising: frontlighting, backlight, sidelight and normal illumination.Under the different light situation, how to make public content-based intelligent analysis system is played very important effect.For example, if under the situation of backlight, want to see clearly the pedestrian face on the board seat before a pedestrian's face or the car, must aperture time be increased.Therefore, be difficult to realize steady control that cause control concussion to occur, flickering often appears in video council, causes the brightness of specific objective (pedestrian or vehicle etc.) unreasonable, influences follow-up intellectual analysis and identification work to the particular region of interest target.
People such as Luo Wei had invented " automatic exposure of camera; automatic gain control and auto white balance method and device " in 2006; This scheme is a plurality of zones with image division; Three components of R, G, B according in these zones are controlled the shading value and the color balance degree of color, and its shortcoming is only to be that entire image is divided into 5 zones, can not satisfy the application to specific target areas.
For target is analyzed, the definition of appearance information such as the color of target, texture can influence the performance of target analysis in the image.The prior camera control method is difficult in the open scene; Such as the characteristic target area that is applied in the intelligent transportation field; Carry out suitable exposure or gain; And under different weather and light conditions, its control algolithm can not very smoothly, stably realize the blur-free imaging to the characteristic target.In addition; Traditional control method has a lot of problems to solve; For example in bayonet system and electronic police system, will discern car plate, under the backlight situation, use the electronic shutter of the brilliance control camera of panorama sketch will cause car plate not see Chu with gain, the contrast of car plate is very low; Under the frontlighting situation, use the shutter of panorama sketch brilliance control camera will cause car plate overexposure to occur, can not carry out license plate number identification with gain.
Summary of the invention
The purpose of the embodiment of the invention is to the problem that can not carry out blur-free imaging in traditional camera control method to specific objective; A kind of new camera autocontrol method and device are proposed; With the bayonet system, electronic police system, intelligent analysis system or other related systems that solve intelligent transportation field problem to the round-the-clock stable imaging in characteristic target area; Reaching clear effective imaging, and take into account the visual effect of panorama sketch simultaneously to the specific region target.
In order to reach the foregoing invention purpose, a kind of camera autocontrol method that the embodiment of the invention proposes is realized through following technical scheme:
A kind of camera autocontrol method, said method comprises:
Rule of thumb or scene need set the initial range value of background luminance, foreground target brightness and object brightness;
Extract the foreground target in the zone to be detected, and calculate the brightness value of foreground target;
In zone to be detected, adopt target localization technological orientation target location, and calculate the brightness value of target;
Brightness value according to said foreground target detects target area and panoramic picture, and calculates the background luminance value;
According to foreground target brightness value, background luminance value and target brightness value, obtain the camera control coefrficient, and select camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
Preferably, the foreground target in the said extraction zone to be detected, and the brightness value of calculating foreground target specifically comprises:
According to the foreground target localization method, find out foreground target, and find out a target nearest from the surveyed area center, add up the monochrome information of this target periphery, calculate intermediate value or the average of object brightness and as target brightness value.
Preferably, said brightness value according to said foreground target detects target area and panoramic picture, and calculating background luminance value specifically comprises:
The target area is divided into equally spaced N*N zone of waiting width, equal altitudes, adds up the mean intensity in each zone, ask for intermediate value or the average of these regional luminances again and as the background average brightness value of scene.
Preferably, said brightness value according to said foreground target detects target area and panoramic picture, and calculating background luminance value specifically comprises:
The average of the background average brightness value in the statistics multiframe or intermediate value are as the average brightness value of background this moment.
Preferably, the brightness value of said target is the average of multiframe internal object brightness or the intermediate value of the car plate brightness in the multiframe.
Preferably, said according to foreground target brightness value, background luminance value and target brightness value, obtain the camera control coefrficient and specifically comprise:
By the statistical analysis training data draw exposure, gain and foreground target brightness value, background luminance value, target brightness value between the segmentation proportional relationship, obtain the adjustment factor of automatic exposure time and gain controlling.
Preferably, said camera control model comprises: the pattern that shutter priority mode, shutter and gain increase simultaneously or reduce.
Preferably, said brilliance control pattern comprises: object brightness mode of priority, foreground target brightness mode of priority, background luminance mode of priority and/or their combination in any.
Preferably, said method also comprises:
Analyze the data of next frame and the reasonability of last control procedure and control coefrficient, and carry out Control and Feedback.
In order to realize aforementioned goal of the invention, the embodiment of the invention has also proposed a kind of camera automatic control equipment, and said device is realized through following technical scheme:
A kind of camera automatic control equipment, said device comprises:
Initialization module is used for rule of thumb or scene need be set the initial range value of background luminance, foreground target brightness and object brightness;
Foreground target brightness calculation module is used for extracting the foreground target in the zone to be detected, and calculates the brightness value of foreground target;
The target localization module is used in zone to be detected, adopting target localization technological orientation target location, and calculates the brightness value of target;
The background luminance computing module is used for detecting target area and panoramic picture according to the brightness value of said foreground target, and calculates the background luminance value;
Control module is used for according to foreground target brightness value, background luminance value and target brightness value, obtains the camera control coefrficient, and selects camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
Preferably, said camera control model comprises: the pattern that shutter priority mode, shutter and gain increase simultaneously or reduce.
Preferably, said brilliance control pattern comprises: object brightness mode of priority, foreground target brightness mode of priority, background luminance mode of priority and/or their combination in any.
Compared with prior art; Because prior art adopts the mean intensity control shutter and the gain of panorama sketch; Be difficult to realize steady control that cause control concussion to occur, flickering often appears in video council to the particular region of interest target; Cause the brightness of specific objective (pedestrian or vehicle etc.) unreasonable, influence follow-up intellectual analysis and identification work.And the embodiment of the invention jointly controls the electronic shutter and the gain of camera to the monochrome information of the brightness of particular region of interest and moving target; Through experimental data in a few years; Comprise match and repeated validation under various weather and the illumination condition; Practice shows can the be round-the-clock stable output video image smoothly of the embodiment of the invention; Guarantee that concussion and flickering can not appear in the video image of controlling, the brightness of assurance target (pedestrian or vehicle etc.) is applicable to the intellectual analysis task in later stage.
Description of drawings
Through the description of its exemplary embodiment being carried out below in conjunction with accompanying drawing, the above-mentioned feature and advantage of the present invention will become apparent and understand easily.
Image sketch map when Fig. 1 is the under-exposure of prior art camera;
Image sketch map when Fig. 2 carries out inappropriate exposure for the prior art camera to target;
Fig. 3 is the flow chart of 1 one kinds of camera autocontrol methods of the embodiment of the invention;
Camera control method flow chart when Fig. 4 carries out the car plate positioning analysis for the embodiment of the invention 2;
Fig. 5 is the multiplying power of embodiment of the invention time for exposure control and the match graph of a relation between the background luminance;
Fig. 6 carries out the design sketch of video interception for embodiment of the invention control camera;
Fig. 7 is the composition sketch map of 3 one kinds of camera automatic control equipments of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is done further explain.
As shown in Figure 3, be the flow chart of 1 one kinds of camera autocontrol methods of the embodiment of the invention, said method comprises:
S101. rule of thumb or scene need set the initial range value of background luminance, foreground target brightness and object brightness;
S102. extract the foreground target in the zone to be detected, and calculate the brightness value of foreground target;
S103. in zone to be detected, adopt target localization technological orientation target location, and calculate the brightness value of target;
S104. the brightness value according to said foreground target detects target area and panoramic picture, and calculates the background luminance value;
S105. according to foreground target brightness value, background luminance value and target brightness value, obtain the camera control coefrficient, and select camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
Carrying out the car plate positioning analysis with the image capturing system that is applied to front end in the intelligent transportation system is example; Introduce the implementing procedure of a kind of camera autocontrol method of the embodiment of the invention; Automatic control to camera combines object brightness, background luminance and three kinds of monochrome informations of car plate brightness, selects different camera control models to control the automatic exposure time and the gain of camera:
At first, set the brightness initialization value of some backgrounds and target area.Rule of thumb perhaps scene need be set background luminance value scope, target brightness value scope and car plate range of luminance values.These scopes have determined the bright dark degree of target and the bright dark degree of scene background.
Carrying out foreground target then extracts.Foreground target extracts and can use the method based on background model, also can use gauss hybrid models, Gauss's weighted blend model, based on background modeling methods such as colored gauss hybrid models, weighted mean, intermediate value background models; Can also use background foreground segmentation method based on colour information; Perhaps can use the sport foreground extractive technique of background prospect codebook; Perhaps use the simplest frame-to-frame differences point-score.
Carry out the car plate location again.The method of car plate location is many, can use several method or their combining form.The method of these car plate location comprises: based on the license plate locating method of colour information, use the binaryzation mask of the color property information acquisition car plate structure of car plate, use method filtering noise influences such as mathematical morphology, the position that draws car plate; Or draw the binary picture of car plate, the position that draws car plate according to the car plate marginal information of car plate on level and vertical direction then based on the gray scale marginal information of car plate; Or based on the position of the comprehensive characteristics information of the saltus step of car plate color and car plate size and car plate texture location car plate; Perhaps use the license plate locating method of other many characteristics.
Calculate the foreground target brightness value.Here, foreground target refers to all sport foreground targets of failing to detect car plate; According to the foreground target localization method, find out foreground target, and find out a target nearest from the surveyed area center, the monochrome information of statistical objects periphery, the intermediate value of calculating object brightness or average are as target brightness value.
Obtain background luminance information.Area-of-interest is divided into equally spaced N*N zone of waiting width, equal altitudes, adds up the mean intensity in each zone, ask for the intermediate value of these regional luminances again, also can ask for the background average brightness value of the average of these brightness as scene.Also can add up simultaneously average or the intermediate value of the background average brightness value in the multiframe average brightness value as background this moment.
Calculate the car plate brightness value.Here, the described object brightness of preamble promptly refers to car plate brightness, and the average that can add up car plate brightness in the multiframe is as the car plate brightness value; Also can use the car plate brightness value of the interior car plate brightness intermediate value of multiframe as the car plate present frame.
The acquisition of camera control coefrficient.Between the exposure that draws by the experience of statistical analysis training data, the segmentation proportional relationship of gain and object brightness, background luminance, car plate brightness, obtain the adjustment factor of automatic exposure time and control, feed back to camera.Wherein, the control model of control time for exposure and gain has two kinds:
A kind of is shutter priority mode, and increasing earlier the time for exposure just increases gain after maximum, when reducing control earlier the minimizing yield value be just to control the time for exposure after the minimum.
Another kind is that shutter increases and the pattern that reduces with gain simultaneously.The parameter of control obtains the corresponding fitting a straight line relation acquisition of different brightness ranges by the brightness data of the various different scenes of match.
Select the brilliance control pattern, according to brilliance control pattern not of the same race, the automatic exposure time and the gain of control camera.
The fundamental mode of brilliance control has three kinds: a kind of is car plate brightness mode of priority, and a kind of is the object brightness mode of priority, and at last a kind of is the background luminance mode of priority.Can select the different combinations control model according to the Projects with Different demand, select to use in three kinds of patterns two kinds or three kinds of control methods to control the time for exposure and the gain of camera together.Relation between the brightness of each pattern and time for exposure, the gain is formed by long-term experimental data match, draws the relation curve between different brightness and time for exposure, the gain.Here it is as shown in Figure 5 to provide an instance, background luminance between 40 to 60, the fitting a straight line that concerns between the multiplying power of time for exposure control and the background luminance.
When above control procedure is performed, control coefrficient directly goes to control the time for exposure and the gain of camera.
Further preferably, said method also comprises:
Analyze the data of next frame and the reasonability of last control procedure and control coefrficient, and carry out Control and Feedback.This step can be improved the irrational process of control in real time; For example a slice is attacked next cloud suddenly above the control camera; At this time camera can be regulated automatically; Satisfy the information of current goal brightness and background luminance, when cloud disappears, also can regulate the relevant apparatus of camera automatically.
As shown in Figure 6, be two design sketchs of the video interception of embodiment of the invention control camera, there not be use to expose to the sun under the situation of flashing light, the background luminance of embodiment of the invention method and object brightness can satisfy the visual effect of human eye.
Compared with prior art; Because prior art adopts the mean intensity control shutter and the gain of panorama sketch; Be difficult to realize steady control that cause control concussion to occur, flickering often appears in video council to the particular region of interest target; Cause the brightness of specific objective (pedestrian or vehicle etc.) unreasonable, influence follow-up intellectual analysis and identification work.And the embodiment of the invention jointly controls the electronic shutter and the gain of camera to the monochrome information of the brightness of particular region of interest and moving target; Through experimental data in a few years; Comprise match and repeated validation under various weather and the illumination condition; Practice shows can the be round-the-clock stable output video image smoothly of the embodiment of the invention; Guarantee that concussion and flickering can not appear in the video image of controlling, the brightness of assurance target (pedestrian or vehicle etc.) is applicable to the intellectual analysis task in later stage.
As shown in Figure 7, in order to realize aforementioned goal of the invention, the embodiment of the invention 3 has also proposed a kind of camera automatic control equipment, and said device is realized through following technical scheme:
A kind of camera automatic control equipment, said device comprises:
Initialization module is used for rule of thumb or scene need be set the initial range value of background luminance, foreground target brightness and object brightness;
Foreground target brightness calculation module is used for extracting the foreground target in the zone to be detected, and calculates the brightness value of foreground target;
The target localization module is used in zone to be detected, adopting target localization technological orientation target location, and calculates the brightness value of target;
The background luminance computing module is used for detecting target area and panoramic picture according to the brightness value of said foreground target, and calculates the background luminance value;
Control module is used for according to foreground target brightness value, background luminance value and target brightness value, obtains the camera control coefrficient, and selects camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
Preferably, said camera control model comprises: the pattern that shutter priority mode, shutter and gain increase simultaneously or reduce.
Preferably, said brilliance control pattern comprises: object brightness mode of priority, foreground target brightness mode of priority, background luminance mode of priority and/or their combination in any.
Compared with prior art; Because prior art adopts the mean intensity control shutter and the gain of panorama sketch; Be difficult to realize steady control that cause control concussion to occur, flickering often appears in video council to the particular region of interest target; Cause the brightness of specific objective (pedestrian or vehicle etc.) unreasonable, influence follow-up intellectual analysis and identification work.And the embodiment of the invention jointly controls the electronic shutter and the gain of camera to the monochrome information of the brightness of particular region of interest and moving target; Through experimental data in a few years; Comprise match and repeated validation under various weather and the illumination condition; Practice shows can the be round-the-clock stable output video image smoothly of the embodiment of the invention; Guarantee that concussion and flickering can not appear in the video image of controlling, the brightness of assurance target (pedestrian or vehicle etc.) is applicable to the intellectual analysis task in later stage.
One of ordinary skill in the art of the present invention are appreciated that; The above embodiment of the present invention is merely one of the preferred embodiments of the present invention; Be the length restriction; Here can not all execution modes of particularize, any enforcement that can embody claim technical scheme of the present invention is all in protection scope of the present invention.
It should be noted that; Above content is to combine concrete execution mode to further explain that the present invention did; Can not assert that embodiment of the present invention only limits to this; Under above-mentioned guidance of the present invention, those skilled in the art can carry out various improvement and distortion on the basis of the foregoing description, and these improve or distortion drops in protection scope of the present invention.
Claims (10)
1. a camera autocontrol method is characterized in that, said method comprises:
Rule of thumb or scene need set the initial range value of background luminance, foreground target brightness and object brightness;
Extract the foreground target in the zone to be detected, and calculate the brightness value of foreground target;
In zone to be detected, adopt target localization technological orientation target location, and calculate the brightness value of target;
Brightness value according to said foreground target detects target area and panoramic picture, and calculates the background luminance value;
According to foreground target brightness value, background luminance value and target brightness value, obtain the camera control coefrficient, and select camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
2. camera autocontrol method as claimed in claim 1 is characterized in that, the foreground target in the said extraction zone to be detected, and the brightness value of calculating foreground target specifically comprises:
According to the foreground target localization method, find out foreground target, and find out a target nearest from the surveyed area center, add up the monochrome information of this target periphery, calculate intermediate value or the average of object brightness and as target brightness value.
3. camera autocontrol method as claimed in claim 1 is characterized in that, said brightness value according to said foreground target detects target area and panoramic picture, and calculating background luminance value specifically comprises:
The target area is divided into equally spaced N*N zone of waiting width, equal altitudes, adds up the mean intensity in each zone, ask for intermediate value or the average of these regional luminances again and as the background average brightness value of scene.
4. camera autocontrol method as claimed in claim 1 is characterized in that, said brightness value according to said foreground target detects target area and panoramic picture, and calculating background luminance value specifically comprises:
The average of the background average brightness value in the statistics multiframe or intermediate value are as the average brightness value of background this moment.
5. camera autocontrol method as claimed in claim 1 is characterized in that, the brightness value of said target is the average of multiframe internal object brightness or the intermediate value of the car plate brightness in the multiframe.
6. camera autocontrol method as claimed in claim 1 is characterized in that, and is said according to foreground target brightness value, background luminance value and target brightness value, obtains the camera control coefrficient and specifically comprises:
By the statistical analysis training data draw exposure, gain and foreground target brightness value, background luminance value, target brightness value between the segmentation proportional relationship, obtain the adjustment factor of automatic exposure time and gain controlling.
7. camera autocontrol method as claimed in claim 1 is characterized in that, said camera control model comprises: the pattern that shutter priority mode, shutter and gain increase simultaneously or reduce.
8. camera autocontrol method as claimed in claim 1 is characterized in that, said brilliance control pattern comprises: object brightness mode of priority, foreground target brightness mode of priority, background luminance mode of priority and/or their combination in any.
9. like any described camera autocontrol method of claim 1 to 8, it is characterized in that said method also comprises:
Analyze the data of next frame and the reasonability of last control procedure and control coefrficient, and carry out Control and Feedback.
10. a camera automatic control equipment is characterized in that, said device comprises:
Initialization module is used for rule of thumb or scene need be set the initial range value of background luminance, foreground target brightness and object brightness;
Foreground target brightness calculation module is used for extracting the foreground target in the zone to be detected, and calculates the brightness value of foreground target;
The target localization module is used in zone to be detected, adopting target localization technological orientation target location, and calculates the brightness value of target;
The background luminance computing module is used for detecting target area and panoramic picture according to the brightness value of said foreground target, and calculates the background luminance value;
Control module is used for according to foreground target brightness value, background luminance value and target brightness value, obtains the camera control coefrficient, and selects camera control model and brilliance control pattern, the automatic exposure and the gain of control camera.
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Application publication date: 20120808 |