CN110460772A - Camera Automatic adjustment method, device, equipment and storage medium - Google Patents
Camera Automatic adjustment method, device, equipment and storage medium Download PDFInfo
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- CN110460772A CN110460772A CN201910747550.2A CN201910747550A CN110460772A CN 110460772 A CN110460772 A CN 110460772A CN 201910747550 A CN201910747550 A CN 201910747550A CN 110460772 A CN110460772 A CN 110460772A
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- 230000005611 electricity Effects 0.000 claims description 3
- 230000015654 memory Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 210000000746 body region Anatomy 0.000 description 2
- 238000012790 confirmation Methods 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
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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
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
-
- 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
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
-
- 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
- H04N23/695—Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
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Abstract
The embodiment of the invention discloses a kind of camera Automatic adjustment method, device, equipment and storage medium, this method includes the image frame for obtaining acquisition, when detecting in described image picture comprising face, determines first position of the face in described image picture；Determine whether the first position meets regularization condition, if it is, the deviation angle of camera is then determined according to the second position and the first position, the second position includes the center of described image picture, and the offset direction of the deviation angle includes four direction up and down；Control instruction is generated according to the deviation angle, the control instruction keeps the camera mobile with the deviation angle for controlling the motor being connected with the camera.This programme realizes the efficient tracking to face, adjusts more efficient.
Description
Technical field
The invention relates to field of face identification more particularly to a kind of camera Automatic adjustment methods, device, equipment
And storage medium.
Background technique
This part intends to provides background or context for the presently filed embodiment stated in claims.Herein
Description recognizes it is the prior art not because not being included in this section.
With the development of the technologies such as artificial intelligence, big data, will be used wider and wider for recognition of face is general, recognition of face
It is a kind of biological identification technology for carrying out identification based on facial feature information of people, recognition speed is fast, accuracy rate is high, user
Experience is preferable.
During being acquired, identify to facial image by brush face payment mechanism, camera is needed with according to shooting
Height, the orientation of face are adjusted to reach optimal shooting angle, however existing regulative mode existing defects, need to change
Into.
Summary of the invention
The embodiment of the invention provides a kind of camera Automatic adjustment method, device, equipment and storage medium, realize pair
The efficient tracking of face is adjusted more efficient.
In a first aspect, the embodiment of the invention provides a kind of camera Automatic adjustment methods, this method comprises:
The image frame for obtaining acquisition determines face in the figure when detecting in described image picture comprising face
As the first position in picture；
Determine whether the first position meets regularization condition, if it is, according to the second position and the first position
Determine the deviation angle of camera, the second position includes the center of described image picture, the deviation angle it is inclined
It moves direction and includes four direction up and down；
Control instruction is generated according to the deviation angle, the control instruction is for controlling the electricity being connected with the camera
Machine keeps the camera mobile with the deviation angle.
Second aspect, the embodiment of the invention also provides a kind of camera self-checking device, which includes:
Face location determining module includes people in described image picture when detecting for obtaining the image frame of acquisition
When face, first position of the face in described image picture is determined；
Deviation angle determining module, for determining whether the first position meets regularization condition, if it is, according to
Two positions and the first position determine the deviation angle of camera, and the second position includes the centre bit of described image picture
It sets, the offset direction of the deviation angle includes four direction up and down；
Directive generation module, for according to the deviation angle generate control instruction, the control instruction for control and
The connected motor of the camera keeps the camera mobile with the deviation angle.
The third aspect, the embodiment of the invention also provides a kind of equipment, which includes:
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes camera Automatic adjustment method described in the embodiment of the present invention.
Fourth aspect, it is described the embodiment of the invention also provides a kind of storage medium comprising computer executable instructions
Computer executable instructions are adjusted when being executed as computer processor for executing camera described in the embodiment of the present invention automatically
Section method.
In the embodiment of the present invention, the image frame of acquisition is obtained, when detecting in described image picture comprising face, really
Determine first position of the face in described image picture, determine whether the first position meets regularization condition, if it is, root
The deviation angle of camera is determined according to the second position and the first position, the second position includes in described image picture
The offset direction of heart position, the deviation angle includes four direction up and down, generates control according to the deviation angle and refers to
It enables, the control instruction keeps the camera mobile with the deviation angle for controlling the motor being connected with the camera.
In the present solution, realizing the efficient tracking to face automatically by the Multidirectional-moving of motor control camera, it is not necessarily to user hand
Dynamic control camera.
Detailed description of the invention
Fig. 1 is a kind of flow chart of camera Automatic adjustment method provided in an embodiment of the present invention；
Fig. 1 a is a kind of schematic diagram of the image frame of acquisition provided in an embodiment of the present invention；
Fig. 1 b is the schematic diagram of the image frame of another acquisition provided in an embodiment of the present invention；
Fig. 2 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention；
Fig. 3 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention；
Fig. 4 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention；
Fig. 5 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention；
Fig. 6 is a kind of structural block diagram of camera self-checking device provided in an embodiment of the present invention；
Fig. 7 is a kind of structural schematic diagram of equipment provided in an embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this
Locate described specific embodiment and is used only for explaining the embodiment of the present invention, rather than the restriction to the embodiment of the present invention.In addition also
It should be noted that only parts related to embodiments of the present invention are shown rather than entire infrastructure for ease of description, in attached drawing.
Fig. 1 is a kind of flow chart of camera Automatic adjustment method provided in an embodiment of the present invention, and the present embodiment is applicable
In the automatic adjustment of camera, this method can be executed by equipment such as host computer, face payment devices, specifically include following step
It is rapid:
Step S101, the image frame for obtaining acquisition determines face when detecting in described image picture comprising face
First position in described image picture.
In one embodiment, image frame is shot to obtain by camera, which can be integrated in face payment
Camera in equipment, wherein face payment devices, which can be, is arranged in supermarket, the intelligence for being paid in market
Electronic equipment.The image frame of acquisition is obtained, image recognition is carried out, is determined if comprising face, specifically, determining that image is drawn
The method of face present in face can use reference template method, and the image frame of acquisition and standard faces reference template are carried out
It compares to determine whether that there are the first positions where face and face；Alternatively, extracting the characteristic information of image frame, sentence
With the presence or absence of the part for meeting human face structure distribution characteristics in disconnected this feature information, the portion for meeting human face structure distribution characteristics is found
I.e. confirmation is divided to detect face and accordingly determine the first position where the face.
In one embodiment, which can be the position where the face center of the face part recognized,
It can also be the position where eye in face, mouth or nose.
Step S102, determine whether the first position meets regularization condition, if it is, according to the second position and described
First position determines the deviation angle of camera.
In one embodiment, judged after determining first position, judge whether the first position meets adjustment item
Part, specifically, can determine whether the distance of the first position range image picture center, if distance value is more than pre-determined distance
Value then determines to meet regularization condition, illustratively, it is assumed that the size of image frame is 30cm*30cm, and pre-determined distance value can be
5cm, that is, determine first position to the position at image frame center be more than 5cm when determine meet regularization condition.As shown in Figure 1a,
Fig. 1 a is a kind of schematic diagram of the image frame of acquisition provided in an embodiment of the present invention, and illustratively, first position 1021 is with people
Subject to the position at face center, it can determine that the first position 1021 and image frame center are overlapped by Fig. 1 a, that is, be unsatisfactory for
Regularization condition.Fig. 1 b is the schematic diagram of the image frame of another acquisition provided in an embodiment of the present invention, as shown in Figure 1 b, first
The distance value of 1023 position of position 1022 and image frame center is more than 5cm, then determines that it meets regularization condition.
In one embodiment, true according to the second position and first position after determining that first position meets regularization condition
Determine the deviation angle of camera, wherein the second position can be the customized position in image frame, be optionally image
Picture center.Wherein, which is the rotation angle of camera, which can be four sides up and down
To that is, the camera can four-way rotation.When camera offset, the corresponding range for acquiring picture changes, image frame
In include position corresponding change of the face in image frame.In one embodiment, different directions are stored in database
Deviation angle correspond to the variation distance of first position, illustratively, camera is drawn along a direction (as laterally) 5 ° of images of rotation
The first position of face accordingly translates 2cm in image frame in face.Specifically, calculating the distance of first position and the second position
Value a, and the distance value is calculated in component the distance value ax and ay of x-axis and y-axis, according to the distance value and offset stored in database
The relationship of angle obtains the bx deviation angle of corresponding ax distance value, and the by deviation angle of corresponding ay distance value, wherein bx is inclined
Moving angle is the angle along x-axis rotation offset, and by deviation angle is the angle along y-axis rotation offset, and bx and by are determined as working as
Preceding camera needs the deviation angle rotated.
Step S103, control instruction is generated according to the deviation angle, the control instruction is for controlling and the camera shooting
The connected motor of head keeps the camera mobile with the deviation angle.
Exemplary, which is generated by the controller that face payment devices integrate, as determined in step S102
Deviation angle bx along x-axis is 5 °, and the deviation angle by along y-axis is 10 °, then generates control instruction and control motor,
In the motor be connected with camera for make camera carry out angular deflection, i.e., make camera edge respectively by assigning control instruction
X-axis and y-axis rotate 5 ° and 10 °.In an another embodiment, the orientation of the comprehensive rotation of camera can also be calculated, such as along x-axis
30 ° of directions of y-axis angle are rotated, i.e., not using pure water put down or it is pure it is vertical by the way of rotate, using the side for having certain inclination angle
Position rotation.
It include face in described image picture when detecting by above scheme it is found that by obtaining the image frame acquired
When, it determines first position of the face in described image picture, determines whether the first position meets regularization condition, if
It is that the deviation angle of camera is then determined according to the second position and the first position, the second position includes described image
The offset direction of the center of picture, the deviation angle includes four direction up and down, raw according to the deviation angle
At control instruction, the control instruction makes the camera with the deviation angle for controlling the motor being connected with the camera
Degree movement realizes and carries out the adjusting of automatic camera head for the location of face according to the image frame of acquisition, is not necessarily to user
It manually adjusts, realizes the efficient tracking to face, adjust more efficient.
In one embodiment, the control module of face payment devices is connected by USB interface with the end PC, and face payment is set
Standby includes MCU control circuit plate, and MCU control circuit plate is connected the control for carrying out to motor, motor and camera with motor
It is connected, for controlling the rotation of camera, MCU control circuit plate realizes USB connection by USB-HUB, and the end PC mainly includes connecing
Mouth layer and application layer, wherein application layer for showing the interface user UI, calculate for realizing recognition of face and Face datection by interface layer
Method, while interface layer drives control module by drive software.
Fig. 2 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention, gives one kind and works as
Camera shooting head adjusting method when face is not included in image frame.As shown in Fig. 2, technical solution is specific as follows:
Step S201, when detecting the triggering of recognition of face event, control camera carries out picture photographing.
Step S202, the image frame of acquisition is obtained, does not include face in described image picture if detected, to institute
It states image frame and carries out human body identification.
In one embodiment, human body identification is carried out if face is not detected in image frame, wherein should
Human body includes neck, hand, shoulder etc..
Step S203, the first deviation angle is determined according to position recognition result.
In one embodiment, the first deviation angle is determined according to the different parts identified, illustratively, if identification
It is out neck, then deviation angle is that upward (positive direction of the y-axis) deviates 10 °, if identifying that for shoulder, deviation angle is upward
(positive direction of the y-axis) deviates 20 °.
Step S204, the first control instruction is generated according to first deviation angle, first control instruction is for controlling
Making the motor being connected with the camera keeps the camera mobile with first deviation angle.
By above scheme it is found that if detect in described image picture do not include face, to described image picture into
The identification of pedestrian's body region, determines the first deviation angle according to position recognition result, generates first according to first deviation angle
Control instruction is not limited to just be able to achieve automatic adjustment after detecting face in this programme, can basis if face is not detected
The human body of detection realizes the automatic adjustment of camera, expands the range of automatic adjustment, applicability is stronger.
Fig. 3 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention, gives a kind of base
In the method that human body carries out camera automatic adjustment.As shown in figure 3, technical solution is specific as follows:
Step S301, when detecting the triggering of recognition of face event, control camera carries out picture photographing.
Step S302, the image frame of acquisition is obtained, does not include face in described image picture if detected, to institute
It states image frame and carries out human body identification.
In one embodiment, human body identification is carried out if face is not detected in image frame, wherein should
Human body includes neck, hand, shoulder etc..
Step S303, the associated deviation angle section of corresponding position is searched in preset table according to position recognition result.
In one embodiment, deviation angle section is determined according to the different parts identified, illustratively, if identification
It is out neck, then deviation angle section is that upward (positive direction of the y-axis) deviates 8 ° to 12 °, if identified as shoulder, deviation angle
Spending section is that upward (positive direction of the y-axis) deviates 15 degree to 25 °.
Step S304, control instruction group is generated according to the deviation angle section, each control in the control instruction group
A deviation angle in the corresponding deviation angle section of system instruction.
Wherein, control instruction group makes the camera in the deviation angle for controlling the motor being connected with the camera
Degree moves in section.Illustratively, every degree of rotation pause one in deviation angle section in control camera moving process
Second, it whether determines in the image for carrying out image recognition comprising face.
Step S305, the picture acquired in moving process to the camera identifies, if recognizing face,
Issue the movement that halt instruction terminates the camera.
In one embodiment, the picture of acquisition is identified in real time in camera rotary course, if recognizing face,
Issue the movement that halt instruction terminates camera.
By above scheme it is found that searching the associated deviation angle area of corresponding position in preset table according to position recognition result
Between, control instruction group is generated according to the deviation angle section, described in each control instruction correspondence in the control instruction group
A deviation angle in deviation angle section, the control instruction group make institute for controlling the motor being connected with the camera
Camera to be stated to move in the deviation angle section, the program automatically controls camera movement by way of interval off set,
Improve the accuracy and efficiency of locating human face.
Fig. 4 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention, gives one kind not
The Automatic adjustment method of camera when detecting face.As shown in figure 4, technical solution is specific as follows:
Step S401, the image frame for obtaining acquisition, identifies the image frame.
If step S402, carrying out human body recognition failures to described image picture, instruction is looked in sending, described to look for
Seeking instruction rotates the camera with predetermined angle for controlling the motor being connected with the camera.
In one embodiment, if face, which is not detected, is also not detected human body, sending is looked for instruction, is looked for
Instruction rotates the camera with predetermined angle for controlling the motor being connected with the camera, wherein the predetermined angle
It can be 90 °.
Step S403, the picture acquired in moving process to the camera identifies, if recognizing human body portion
Position, then issue the movement that halt instruction terminates the camera.
In one embodiment, identify the picture of acquisition in real time in camera rotary course, if recognize face or
Human body then issues the movement that halt instruction terminates camera.
By above scheme it is found that obtaining the image frame of acquisition, which is identified, if to described image
Picture carries out human body recognition failures, then issues and look for instruction, described to look for instruction and be connected for control with the camera
Motor rotate the camera with predetermined angle, the picture acquired in moving process to the camera identifies,
If recognizing human body, the movement that halt instruction terminates the camera is issued, realizes image frame in the program
In camera automatic adjustment mode when not collecting human body to search human body, avoid and taken the photograph when human body is not detected
The problem of being unable to adjust automatically as head.
Fig. 5 is the flow chart of another camera Automatic adjustment method provided in an embodiment of the present invention, is given a kind of same
When camera automatic adjustment mode when detecting multiple faces.As shown in figure 5, technical solution is specific as follows:
Step S501, the image frame for obtaining acquisition, when detecting in described image picture comprising multiple faces, according to
Preset algorithm determines the first identification face in the multiple face, determines first of the first face in described image picture
It sets.
In one embodiment, which is the algorithm for determining the first identification face in multiple faces, exemplary, in advance
Imputation method can be the ratio for determining that each face identified is shared in present image picture, and the maximum face of ratio is true
It is set to the first identification face.
Step S502, determine whether the first position meets regularization condition, if it is, according to the second position and described
First position determines the deviation angle of camera.
Step S503, control instruction is generated according to the deviation angle, the control instruction is for controlling and the camera shooting
The connected motor of head keeps the camera mobile with the deviation angle.
It include multiple faces in described image picture when detecting by above scheme it is found that obtaining the image frame of acquisition
When, the first identification face in the multiple face is determined according to preset algorithm, determines the first face in described image picture
First position, determine whether the first position meets regularization condition, if it is, according to the second position and first described
The deviation angle for setting determining camera generates control instruction according to the deviation angle, and the control instruction is for control and institute
Stating the connected motor of camera keeps the camera mobile with the deviation angle, can guarantee in image frame in the program
It identifies the automatic adjustment that can be automatically determined a face when multiple faces and carry out camera, avoids in image frame and include
The problem of cannot achieve camera automatic adjustment when multiple faces.
Fig. 6 is a kind of structural block diagram of camera self-checking device provided in an embodiment of the present invention, and the device is for holding
Row camera Automatic adjustment method provided by the above embodiment, has the corresponding functional module of execution method and beneficial effect.Such as
Shown in Fig. 6, which is specifically included: face location determining module 101, deviation angle determining module 102 and directive generation module
103, wherein
Face location determining module 101, for obtain acquisition image frame, include when detecting in described image picture
When face, first position of the face in described image picture is determined.
In one embodiment, image frame is shot to obtain by camera, which can be integrated in face payment
Camera in equipment, wherein face payment devices, which can be, is arranged in supermarket, the intelligence for being paid in market
Electronic equipment.The image frame of acquisition is obtained, image recognition is carried out, is determined if comprising face, specifically, determining that image is drawn
The method of face present in face can use reference template method, and the image frame of acquisition and standard faces reference template are carried out
It compares to determine whether that there are the first positions where face and face；Alternatively, extracting the characteristic information of image frame, sentence
With the presence or absence of the part for meeting human face structure distribution characteristics in disconnected this feature information, the portion for meeting human face structure distribution characteristics is found
I.e. confirmation is divided to detect face and accordingly determine the first position where the face.
In one embodiment, which can be the position where the face center of the face part recognized,
It can also be the position where eye in face, mouth or nose.
Deviation angle determining module 102, for determining whether the first position meets regularization condition, if it is, root
The deviation angle of camera is determined according to the second position and the first position, the second position includes in described image picture
The offset direction of heart position, the deviation angle includes four direction up and down.
In one embodiment, judged after determining first position, judge whether the first position meets adjustment item
Part, specifically, can determine whether the distance of the first position range image picture center, if distance value is more than pre-determined distance
Value then determines to meet regularization condition, illustratively, it is assumed that the size of image frame is 30cm*30cm, and pre-determined distance value can be
5cm, that is, determine first position to the position at image frame center be more than 5cm when determine meet regularization condition.
In one embodiment, true according to the second position and first position after determining that first position meets regularization condition
Determine the deviation angle of camera, wherein the second position can be the customized position in image frame, be optionally image
Picture center.Wherein, which is the rotation angle of camera, which can be four sides up and down
To that is, the camera can four-way rotation.When camera offset, the corresponding range for acquiring picture changes, image frame
In include position corresponding change of the face in image frame.In one embodiment, different directions are stored in database
Deviation angle correspond to the variation distance of first position, illustratively, camera is drawn along a direction (as laterally) 5 ° of images of rotation
The first position of face accordingly translates 2cm in image frame in face.Specifically, calculating the distance of first position and the second position
Value a, and the distance value is calculated in component the distance value ax and ay of x-axis and y-axis, according to the distance value and offset stored in database
The relationship of angle obtains the bx deviation angle of corresponding ax distance value, and the by deviation angle of corresponding ay distance value, wherein bx is inclined
Moving angle is the angle along x-axis rotation offset, and by deviation angle is the angle along y-axis rotation offset, and bx and by are determined as working as
Preceding camera needs the deviation angle rotated.
Directive generation module 103, for generating control instruction according to the deviation angle, the control instruction is for controlling
The motor being connected with the camera keeps the camera mobile with the deviation angle.
Exemplary, which is generated by the controller that face payment devices integrate, as determined in step S102
Deviation angle bx along x-axis is 5 °, and the deviation angle by along y-axis is 10 °, then generates control instruction and control motor,
In the motor be connected with camera for make camera carry out angular deflection, i.e., make camera edge respectively by assigning control instruction
X-axis and y-axis rotate 5 ° and 10 °.In an another embodiment, the orientation of the comprehensive rotation of camera can also be calculated, such as along x-axis
30 ° of directions of y-axis angle are rotated, i.e., not using pure water put down or it is pure it is vertical by the way of rotate, using the side for having certain inclination angle
Position rotation.
It include face in described image picture when detecting by above scheme it is found that by obtaining the image frame acquired
When, it determines first position of the face in described image picture, determines whether the first position meets regularization condition, if
It is that the deviation angle of camera is then determined according to the second position and the first position, the second position includes described image
The offset direction of the center of picture, the deviation angle includes four direction up and down, raw according to the deviation angle
At control instruction, the control instruction makes the camera with the deviation angle for controlling the motor being connected with the camera
Degree movement realizes and carries out the adjusting of automatic camera head for the location of face according to the image frame of acquisition, is not necessarily to user
It manually adjusts, realizes the efficient tracking to face, adjust more efficient.
In a possible embodiment, the face location determining module 101 is also used to:
Before the image frame for obtaining acquisition, when detecting the triggering of recognition of face event, control camera carries out picture
Shooting；
Do not include face in described image picture if detected, human body identification is carried out to described image picture；
The deviation angle determining module 102 is specifically used for: the first deviation angle is determined according to position recognition result, it is described
Directive generation module 103 is specifically used for: generating the first control instruction, first control instruction according to first deviation angle
Keep the camera mobile with first deviation angle for controlling the motor being connected with the camera.
In a possible embodiment, the deviation angle determining module 102 is specifically used for:
The associated deviation angle section of corresponding position is searched in preset table according to position recognition result；
Described instruction generation module 103 is specifically used for: generating control instruction group, the control according to the deviation angle section
Each control instruction in instruction group processed corresponds to a deviation angle in the deviation angle section；
The control instruction group makes the camera in the deviation angle for controlling the motor being connected with the camera
Degree moves in section.
In a possible embodiment, described instruction generation module 103 is also used to:
The picture acquired in moving process to the camera identifies, if recognizing face, issues stopping
Instruction terminates the movement of the camera.
In a possible embodiment, described instruction generation module 103 is specifically used for: if to described image picture into
Pedestrian's body region recognition failures then issue and look for instruction, described to look for instruction for controlling the motor being connected with the camera
Rotate the camera with predetermined angle.
In a possible embodiment, the face location determining module 101 is also used to:
When the camera is rotated with predetermined angle, the picture acquired in moving process to the camera is known
Not, if recognizing human body, the movement that halt instruction terminates the camera is issued.
In a possible embodiment, the face location determining module 101 is specifically used for:
When detecting in described image picture comprising multiple faces, determined in the multiple face according to preset algorithm
First identification face, determines first position of first face in described image picture.
Fig. 7 is a kind of structural schematic diagram of equipment provided in an embodiment of the present invention, as shown in fig. 7, the equipment includes processing
Device 201, memory 202, input unit 203 and output device 204；The quantity of processor 201 can be one or more in equipment
It is a, in Fig. 6 by taking a processor 201 as an example；Processor 201, memory 202, input unit 203 and output device in equipment
204 can be connected by bus or other modes, in Fig. 7 for being connected by bus.
Memory 202 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer
Sequence and module, such as the corresponding program instruction/module of camera Automatic adjustment method in the embodiment of the present invention.Processor 201
By running the software program, instruction and the module that are stored in memory 202, thereby executing equipment various function application with
And data processing, that is, realize above-mentioned camera Automatic adjustment method.
Memory 202 can mainly include storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function；Storage data area, which can be stored, uses created data etc. according to terminal.This
Outside, memory 202 may include high-speed random access memory, can also include nonvolatile memory, for example, at least one
Disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, memory 202 can be into one
Step includes the memory remotely located relative to processor 201, these remote memories can pass through network connection to equipment.On
The example for stating network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
Input unit 203 can be used for receiving the number or character information of input, and generate with the user setting of equipment with
And the related key signals input of function control.Output device 204 may include that display screen etc. shows equipment.
The embodiment of the present invention also provides a kind of storage medium comprising computer executable instructions, and the computer is executable
Instruction is used to execute a kind of camera Automatic adjustment method when being executed by computer processor, this method comprises:
The image frame for obtaining acquisition determines face in the figure when detecting in described image picture comprising face
As the first position in picture；
Determine whether the first position meets regularization condition, if it is, according to the second position and the first position
Determine the deviation angle of camera, the second position includes the center of described image picture, the deviation angle it is inclined
It moves direction and includes four direction up and down；
Control instruction is generated according to the deviation angle, the control instruction is for controlling the electricity being connected with the camera
Machine keeps the camera mobile with the deviation angle.
By the description above with respect to embodiment, it is apparent to those skilled in the art that, the present invention
Embodiment can be realized by software and required common hardware, naturally it is also possible to by hardware realization, but in many cases before
Person is more preferably embodiment.Based on this understanding, the technical solution of the embodiment of the present invention is substantially in other words to existing skill
The part that art contributes can be embodied in the form of software products, which can store in computer
Floppy disk, read-only memory (Read-OnlyMemory, ROM), random access memory in readable storage medium storing program for executing, such as computer
(RandomAccessMemory, RAM), flash memory (FLASH), hard disk or CD etc., including some instructions are used so that a meter
It calculates machine equipment (can be personal computer, server or the network equipment etc.) and executes each embodiment institute of the embodiment of the present invention
The method stated.
It is worth noting that, in the embodiment of above-mentioned camera self-checking device, included each unit and module
It is only divided according to the functional logic, but is not limited to the above division, as long as corresponding functions can be realized；
In addition, the specific name of each functional unit is also only for convenience of distinguishing each other, it is not intended to restrict the invention the guarantor of embodiment
Protect range.
Note that above are only the preferred embodiment and institute's application technology principle of the embodiment of the present invention.Those skilled in the art
It will be appreciated that the embodiment of the present invention is not limited to specific embodiment described here, it is able to carry out for a person skilled in the art each
The apparent variation of kind, readjustment and the protection scope substituted without departing from the embodiment of the present invention.Therefore, although more than passing through
Embodiment is described in further detail the embodiment of the present invention, but the embodiment of the present invention is not limited only to the above implementation
Example can also include more other equivalent embodiments in the case where not departing from design of the embodiment of the present invention, and the present invention is implemented
The range of example is determined by the scope of the appended claims.
Claims (10)
1. camera Automatic adjustment method characterized by comprising
The image frame for obtaining acquisition determines that face is drawn in described image when detecting in described image picture comprising face
First position in face；
Determine whether the first position meets regularization condition, if it is, determining according to the second position and the first position
The deviation angle of camera, the second position include the center of described image picture, the offset side of the deviation angle
To including four direction up and down；
Control instruction is generated according to the deviation angle, the control instruction makes for controlling the motor being connected with the camera
The camera is mobile with the deviation angle.
2. the method according to claim 1, wherein before the image frame for obtaining acquisition, further includes:
When detecting the triggering of recognition of face event, control camera carries out picture photographing；
Do not include face in described image picture if detected, human body identification is carried out to described image picture；
The first deviation angle is determined according to position recognition result, and the first control instruction, institute are generated according to first deviation angle
Stating the first control instruction moves the camera with first deviation angle for controlling the motor being connected with the camera
It is dynamic.
3. according to the method described in claim 2, it is characterized in that, described determine the first deviation angle according to position recognition result
Degree generates control instruction according to first deviation angle, and the control instruction is for controlling the electricity being connected with the camera
Machine makes the camera include: with the first deviation angle movement
The associated deviation angle section of corresponding position is searched in preset table according to position recognition result；
Control instruction group is generated according to the deviation angle section, described in each control instruction correspondence in the control instruction group
A deviation angle in deviation angle section；
The control instruction group makes the camera in the deviation angle area for controlling the motor being connected with the camera
Interior movement.
4. according to the method described in claim 3, it is characterized in that, being moved in the deviation angle section in the camera
When, further includes:
The picture acquired in moving process to the camera identifies, if recognizing face, issues halt instruction
Terminate the movement of the camera.
5. according to the method described in claim 2, it is characterized in that, being lost if carrying out human body identification to described image picture
Lose, then issue and look for instruction, it is described look for instruction and be used to control the motor being connected with the camera make the camera with pre-
If angle rotates.
6. according to the method described in claim 5, it is characterized in that, when the camera is rotated with predetermined angle, further includes:
The picture acquired in moving process to the camera identifies, if recognizing human body, issues stopping
Instruction terminates the movement of the camera.
7. the method according to claim 1, wherein described work as detect to include face in described image picture
When, determine that first position of the face in described image picture includes:
When detecting in described image picture comprising multiple faces, first in the multiple face is determined according to preset algorithm
It identifies face, determines first position of first face in described image picture.
8. camera self-checking device characterized by comprising
Face location determining module, for obtaining the image frame of acquisition, when detecting in described image picture comprising face,
Determine first position of the face in described image picture；
Deviation angle determining module, for determining whether the first position meets regularization condition, if it is, according to second
The deviation angle that camera is determined with the first position is set, the second position includes the center of described image picture,
The offset direction of the deviation angle includes four direction up and down；
Directive generation module, for according to the deviation angle generate control instruction, the control instruction for control and it is described
The connected motor of camera keeps the camera mobile with the deviation angle.
9. a kind of equipment, the equipment includes: one or more processors；Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors, so that one or more of processors are realized such as
Camera Automatic adjustment method of any of claims 1-7.
10. a kind of storage medium comprising computer executable instructions, the computer executable instructions are by computer disposal
For executing such as camera Automatic adjustment method of any of claims 1-7 when device executes.
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