CN112911150A - Automatic snapshot method for high-definition human face in target area - Google Patents
Automatic snapshot method for high-definition human face in target area Download PDFInfo
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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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/10—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people together with the recording, indicating or registering of other data, e.g. of signs of identity
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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
- H04N23/695—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 invention discloses a method for automatically capturing a high-definition face in a target area, which comprises the following steps in sequence: establishing a space rectangular coordinate system; establishing a space model through the geometric position, and calculating a shooting angle and a zooming multiple of a shooting target relative to a mechanical camera holder; positioning geometric positions of all positions in a target area relative to a holder camera by meshing a shooting scene; and traversing the grids, realizing the automatic cruise shooting without blind areas, and calculating the position data of the grids in a space coordinate system through the grid numbers for guiding the control of the holder control program. The face snapshot system is used for realizing automatic non-blind-area face photo snapshot, can realize automatic non-sensing image recognition face attendance, and reduces the manual workload.
Description
Technical Field
The invention relates to the field of face recognition attendance checking, in particular to a high-definition face automatic snapshot method for a target area.
Background
The management work such as attendance checking, target person finding, safety precaution and sign-in aiming at personnel in a target area is a high-frequency requirement of daily management work, such as maintaining normal teaching discipline and order of a school, ensuring that each work task of the school can be smoothly implemented, carrying out safety screening on the personnel in the area and the like, and the work is a very important key link and is a very important means for strengthening discipline management and restricting daily learning and behaviors of the area. In the prior art, the management work is completed manually, so that the working efficiency is low and mistakes are easy to make.
Therefore, there is a need to provide a new technical solution to solve the above problems to better complete the above management work.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an automatic snapshot method of a high-definition face in a target area.
The purpose of the invention is realized by the following technical scheme:
a method for automatically capturing a high-definition face of a target area comprises the following steps:
s1, establishing a space rectangular coordinate system;
s2, establishing a space model through the geometric position, and calculating the shooting angle and the zoom multiple of the shooting target relative to the mechanical camera holder;
s3, positioning the geometric positions of all the positions in the target area relative to the pan-tilt-zoom camera by meshing the shooting scene; and traversing the grids, realizing the automatic cruise shooting without blind areas, and calculating the position data of the grids in a space coordinate system through the grid numbers for guiding the control of the holder control program.
The step S1 specifically includes:
(1) inputting target area parameters: the length, width and height of the target area are respectively recorded as L, W, H; the height of the camera from the ground is hc, and the distance from the camera to the left side wall of the student in a sitting state is lc;
(2) establishing a space rectangular coordinate system (xyz) by taking the mounting position of the pan-tilt camera as a coordinate origin O (0,0,0) and passing through the point of the pan-tilt camera, taking the wall surface where the camera is mounted as a plane where an x axis and a y axis are located, and passing through the point O and being vertical to the plane XOY; the coordinate value of the point of the pan-tilt camera is a point P (0,0,0) and is superposed with the origin of coordinates O, and the camera is installed upright, so the origin of coordinates of a mechanical pan-tilt of the camera is superposed with the origin of coordinates O, the directions of X, Y, Z axes are also consistent, and the XZ axis of the mechanical pan-tilt is superposed with the XZ axis of a space rectangular coordinate system; thereby establishing a spatial rectangular coordinate system.
In step S2, the establishing a spatial model through the geometric position and calculating a shooting angle of the shooting target with respect to the mechanical camera pan-tilt specifically includes the following steps:
setting parameters of a starting point position point S (X1, Y1, Z1) for cruising in a target area, acquiring a coordinate value of an initial position point S, setting a projection of the point S on a plane XOZ as M, obtaining a coordinate value of the point M as (X1,0, Z1), setting a projection of the point S on a Z axis as B, obtaining a coordinate value of the point B as (0,0, Z1), setting a projection of the point S on a Y axis as C, obtaining a coordinate value of the point C as (0, Y1,0), setting a projection of the point S on an X axis as A, obtaining a coordinate value of the point A as (X4, 0,0), obtaining tan 829 MOB as X4835/Z1 according to a trigonometric function relation, thus calculating the size of a horizontal angle of the mechanical cradle head required to rotate when the camera needs to shoot the point S in front, and calculating the cradle head to be centered, the mechanical pan-tilt requires the size of the vertical angle of downward rotation, namely:
in step S2, the establishing a spatial model through the geometric position and calculating a zoom factor of the shooting target with respect to the mechanical pan-tilt of the camera specifically includes the following steps:
setting a reference point F at the farthest position in the Z-axis direction right opposite to a mounting wall of a pan-tilt camera in a target area, namely setting the point F close to the rear wall of the target area, standing at the point F to shoot a reference model, adjusting the zoom factor of a lens of the pan-tilt camera to enable the image quality of the face of the model to be clear, acquiring a Z-axis value zf of a coordinate of the point F, and acquiring the zoom factor F of the camera as the maximum factor fm of the lens of the camera in the target area, wherein the Z-axis value zf is approximately equal to the length L of the target area; the zoom factor of the camera lens during shooting with the coordinate points of different z values in the current scene centered on the front is calculated by taking fm and zf as references, and if any point e (x, y and z) in the scene is set, the zoom factor value fe during shooting of the point e is calculated as fe (fm/zf).
The step S3 specifically includes the following steps:
(1) designing a cruise path algorithm, carrying out cruise snapshot in a target area scene according to the length, the width and the height of a target area, wherein the snapshot area is a plane G parallel to an XOZ plane, the plane G is a plane parallel to the XOZ plane and the ground of the target area and has a height h from the ground of the target area, dividing a plane G in a gridding way in the parallel direction of an X axis and the parallel direction of a Z axis, dividing the plane G into grids according to the distance from a tripod head camera in the direction of the Z axis from near to far, taking the row width and the column width of the grids as the reference of the student seats and the desk placement width, setting the row width to be wl and the column width to be wr, the available target area may be divided into n rows, r columns, cn, L/wl, r W/wr, the number of rows n and the number of columns r are both rounded up, so that the number of rows n, the number of columns r and the total number cn of grids n-r in cruise shooting can be obtained; numbering the divided grids from left to right in sequence;
(2) calculating the position of the center point E of each grid in a coordinate system through numbering, if the coordinate of the center point of the n-th grid is to be calculated, setting the row rn where the n-th grid is located as ln, then:
rn＝n/(W/wr)，
rn is rounded up, and the meaning of the calculation formula is the number of the lattices divided by the number of the lattices in each line;
ln＝n％(W/wr)
ln is left, the calculation formula means how many lattices are numbered modulo each row of the lattices), if the remainder is 0, the last column ln is r;
obtaining values of rn and ln, the horizontal distance between the grid and the XOY plane of the space coordinate system in the plane of the ground and the horizontal distance between the grid and the YOZ plane can be calculated, and the horizontal distance between the grid center point E and the XOY plane is set as S1, the horizontal distance between the grid center point E and the XOZ plane is set as S2, and the horizontal distance between the grid center point E and the XOZ plane is set as S3:
S1＝(ln-1)*wl+wl/2；
S2＝|(rn-1)*wr+wr/2-lc|；
S3＝hc-h；
wherein lc is the installation distance between the pan-tilt camera and the left wall of the target area, and hc is the installation height between the pan-tilt camera and the ground of the target area;
thus, the coordinates of the center point E of each block in the space coordinate system, namely the point E, can be reversely calculated by numbering the grids (S2, S3, S1); therefore, the lens rotation angle and the zoom factor of the pan-tilt camera when the center point of each grid is shot in the front center can be calculated;
(3) the method comprises the steps of starting cruising, enabling a pan-tilt camera to horizontally rotate from a starting point S, enabling grids where the starting point S is located to be starting positions of cruising, starting traversing cruising snapshot on small grids one by one, controlling accurate rotation of a camera pan-tilt through a computer program, shooting pictures of corresponding positions after the pan-tilt rotates in place, storing the pictures, and completing cruising snapshot of a whole target area after grid shooting is finished.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the invention mainly solves the problem of automatic face-unaware snapshot of personnel in a fixed area, uses a pan-tilt camera, realizes omnibearing and dead-angle-free cruise shooting of an automatic control camera pan-tilt in the area by combining a computer program with an algorithm, acquires all face high-definition images in a target area, compares the acquired face pictures with face library information input in a server to obtain personnel information, and makes a judgment.
2. The invention can reduce the workload of the work related to the personnel confirmation in the target area, such as attendance checking, target person searching and conference roll calling, and realizes imperceptibility and intellectualization to the maximum extent.
Drawings
Fig. 1 is a flowchart of an automatic target area high-definition face snapshot method according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
A method for automatically capturing a high-definition face of a target area comprises the following steps:
1. inputting target area parameters (length, width and height of the target area, recorded as L, W and H), wherein the installation ground clearance of the camera is hc, and the distance from the left side wall of the student in a sitting state is lc.
2. And establishing a space rectangular coordinate system (xyz) by taking the mounting position of the pan-tilt camera as a coordinate origin O (0,0,0) and passing through the point of the pan-tilt camera, taking the wall surface where the camera is mounted as a plane where an x axis and a y axis are located, and passing through the point O and being vertical to the plane XOY. Therefore, the coordinate value of the point where the pan/tilt camera is located is a point P (0,0,0) and coincides with the origin of coordinates O, and since the camera is mounted upright (not upside down), the origin of coordinates of the mechanical pan/tilt of the camera coincides with the origin of coordinates O, and the direction of the X, Y, Z axis coincides, the XZ axis of the mechanical pan/tilt also coincides with the XZ axis of the spatial rectangular coordinate system, as shown in fig. 1.
3. Setting parameters of a starting point position point S (X1, Y1, Z1) for cruising in a target area, acquiring a coordinate value of an initial position point S, setting a projection of the point S on a plane XOZ as M, obtaining a coordinate value of the point M as (X1,0, Z1), setting a projection of the point S on a Z axis as B, obtaining a coordinate value of the point B as (0,0, Z1), setting a projection of the point S on a Y axis as C, obtaining a coordinate value of the point C as (0, Y1,0), setting a projection of the point S on an X axis as A, obtaining a coordinate value of the point A as (X4, 0,0), obtaining tan 829 MOB as X4835/Z1 according to a trigonometric function relation, thus calculating the size of a horizontal angle of the mechanical cradle head required to rotate when the camera needs to shoot the point S in front, and calculating the cradle head to be centered, the vertical angle at which the mechanical head needs to be rotated downwards, i.e. the size
4. Setting a reference point F at the farthest position in the Z-axis direction right opposite to a mounting wall of a pan-tilt camera in a target area (namely, the point F is close to the rear wall of the target area), standing at the point F to shoot a reference model, adjusting the zoom factor of a lens of the pan-tilt camera to enable the image quality of the face of the model to be clear, acquiring the Z-axis value zf (zf is approximately equal to the length L of the target area) of the coordinate of the point F, acquiring the zoom factor F of the camera as the maximum factor fm of the lens of the camera in the target area, calculating the zoom factor of the lens of the camera when the coordinate point of different Z values in the current scene is shot at the center on the front by taking fm and zf as the reference, and setting any point e (x, y, Z) in the scene, and calculating the lens magnification value fe when the e point is shot, wherein the calculation method of fe is that fe is equal to.
5. And (4) combining the steps 3 and 4 to obtain the rotation angle of the lens of the pan-tilt camera in the horizontal and vertical directions and the zoom multiple of the lens at any point e (x, y, z) in the shooting scene.
6. Then, a cruise path algorithm is designed, cruise snapshot is carried out on the scene of the target area according to the length, the width and the height of the target area, the snapshot area is a plane G parallel to an XOZ plane, the plane G is a plane parallel to the XOZ plane and the ground of the target area and is at a height h from the ground of the target area, dividing a plane G in a gridding way in the parallel direction of an X axis and the parallel direction of a Z axis, dividing the plane G into grids according to the distance from a tripod head camera in the direction of the Z axis from near to far, taking the row width and the column width of the grids as the reference of the student seats and the desk placement width, setting the row width to be wl and the column width to be wr, the available target area is divided into n rows, r columns, cn n L/wl (rounding up), and r W/wr (rounding up), so that n rows, r columns, and cn n r of the cruise shot can be obtained. The divided lattices are numbered sequentially from left to right as in table 1:
TABLE 1
| 1 | 2 | 3 | 4 |
| 5 | 6 | 7 | 8 |
| 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 |
| 17 | 18 | 19 | 20 |
The position of the center point E of each lattice in the coordinate system can be calculated by numbering, if the coordinate of the center point of the n-th lattice is to be calculated, the row where the n-th lattice is located is rn, and the column where the n-th lattice is located is ln, then rn is n/(W/wr) (rounding calculation is performed upwards) (the lattice number is divided by how many lattices in each row), ln is n% (W/wr) (the remainder is 0, then the last column is ln r) (the lattice number is modulo how many lattices in each row), if n is 11, in the block table of 5 rows and 4 columns, in the third row and the third column, rn is 11/4 (rounding calculation is performed upwards), rn is 3, ln is 11% 4, ln is 3; obtaining values of rn and ln, the horizontal distance from the lattice to the XOY plane of the space coordinate system in the plane where the lattice is located on the ground and the horizontal distance from the YOZ plane can be calculated, where the horizontal distance from the lattice center point E to the XOY plane is S1, the horizontal distance from the YOZ plane is S2, the horizontal distance from the XOZ plane is S3, S1 ═ ln-1) (+ wl/2, S2 | (rn-1) × wr + wr/2 | (lc is the installation distance of the camera from the left wall of the target area), and S3 ═ hc-h (hc is the installation height of the pan-tilt head from the ground of the target area).
Therefore, the coordinates of the central point E of each block in the space coordinate system can be reversely calculated by numbering the grids. I.e., point E (S2, S3, S1). And (4) calculating the lens rotation angle and the zoom multiple of the pan-tilt camera when the center point of each grid is shot in the front center by combining the calculation modes of the step (3) and the step (4).
7. The method comprises the steps of starting cruising, enabling a pan-tilt camera to horizontally rotate from a starting point S, enabling grids where the starting point S is located to be starting positions of cruising, starting traversing, cruising and capturing small grids one by one, controlling accurate rotation of a camera pan-tilt through a computer program, shooting pictures at corresponding positions after the pan-tilt rotates in place, storing the pictures, and completing cruising and capturing of the whole target area after grid shooting is finished.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (5)
1. A method for automatically capturing a high-definition face of a target area is characterized by comprising the following steps in sequence:
s1, establishing a space rectangular coordinate system;
s2, establishing a space model through the geometric position, and calculating the shooting angle and the zoom multiple of the shooting target relative to the mechanical camera holder;
s3, positioning the geometric positions of all the positions in the target area relative to the pan-tilt-zoom camera by meshing the shooting scene; and traversing the grids, realizing the automatic cruise shooting without blind areas, and calculating the position data of the grids in a space coordinate system through the grid numbers for guiding the control of the holder control program.
2. The method for automatically capturing the high-definition human face in the target area according to claim 1, wherein the step S1 specifically comprises:
(1) inputting target area parameters: the length, width and height of the target area are respectively recorded as L, W, H; the height of the camera from the ground is hc, and the distance from the camera to the left side wall of the student in a sitting state is lc;
(2) establishing a space rectangular coordinate system (xyz) by taking the mounting position of the pan-tilt camera as a coordinate origin O (0,0,0) and passing through the point of the pan-tilt camera, taking the wall surface where the camera is mounted as a plane where an x axis and a y axis are located, and passing through the point O and being vertical to the plane XOY; the coordinate value of the point of the pan-tilt camera is a point P (0,0,0) and is superposed with the origin of coordinates O, and the camera is installed upright, so the origin of coordinates of a mechanical pan-tilt of the camera is superposed with the origin of coordinates O, the directions of X, Y, Z axes are also consistent, and the XZ axis of the mechanical pan-tilt is superposed with the XZ axis of a space rectangular coordinate system; thereby establishing a spatial rectangular coordinate system.
3. The method for automatically capturing the high-definition human face in the target area according to claim 2, wherein in step S2, the method for calculating the shooting angle of the shooting target relative to the mechanical holder of the camera by establishing the spatial model through the geometric position specifically comprises the following steps:
setting parameters of a starting point position point S (X1, Y1, Z1) for cruising in a target area, acquiring a coordinate value of an initial position point S, setting a projection of the point S on a plane XOZ as M, obtaining a coordinate value of the point M as (X1,0, Z1), setting a projection of the point S on a Z axis as B, obtaining a coordinate value of the point B as (0,0, Z1), setting a projection of the point S on a Y axis as C, obtaining a coordinate value of the point C as (0, Y1,0), setting a projection of the point S on an X axis as A, obtaining a coordinate value of the point A as (X4, 0,0), obtaining tan 829 MOB as X4835/Z1 according to a trigonometric function relation, thus calculating the size of a horizontal angle of the mechanical cradle head required to rotate when the camera needs to shoot the point S in front, and calculating the cradle head to be centered, the mechanical pan-tilt requires the size of the vertical angle of downward rotation, namely:
4. the method for automatically capturing the high-definition human face in the target area according to claim 2, wherein in step S2, the method for calculating the zoom factor of the captured target relative to the mechanical pan-tilt of the camera by building a space model through the geometric position specifically comprises the following steps:
setting a reference point F at the farthest position in the Z-axis direction right opposite to a mounting wall of a pan-tilt camera in a target area, namely setting the point F close to the rear wall of the target area, standing at the point F to shoot a reference model, adjusting the zoom factor of a lens of the pan-tilt camera to enable the image quality of the face of the model to be clear, acquiring a Z-axis value zf of a coordinate of the point F, and acquiring the zoom factor F of the camera as the maximum factor fm of the lens of the camera in the target area, wherein the Z-axis value zf is approximately equal to the length L of the target area; the zoom factor of the camera lens during shooting with the coordinate points of different z values in the current scene centered on the front is calculated by taking fm and zf as references, and if any point e (x, y and z) in the scene is set, the zoom factor value fe during shooting of the point e is calculated as fe (fm/zf).
5. The method for automatically capturing the high-definition human face in the target area according to claim 2, wherein the step S3 specifically comprises the following steps:
(1) designing a cruise path algorithm, carrying out cruise snapshot in a target area scene according to the length, the width and the height of a target area, wherein the snapshot area is a plane G parallel to an XOZ plane, the plane G is a plane parallel to the XOZ plane and the ground of the target area and has a height h from the ground of the target area, dividing a plane G in a gridding way in the parallel direction of an X axis and the parallel direction of a Z axis, dividing the plane G into grids according to the distance from a tripod head camera in the direction of the Z axis from near to far, taking the row width and the column width of the grids as the reference of the student seats and the desk placement width, setting the row width to be wl and the column width to be wr, the available target area may be divided into n rows, r columns, cn, L/wl, r W/wr, the number of rows n and the number of columns r are both rounded up, so that the number of rows n, the number of columns r and the total number cn of grids n-r in cruise shooting can be obtained; numbering the divided grids from left to right in sequence;
(2) calculating the position of the center point E of each grid in a coordinate system through numbering, if the coordinate of the center point of the n-th grid is to be calculated, setting the row rn where the n-th grid is located as ln, then:
rn＝n/(W/wr)，
rn is rounded up, and the meaning of the calculation formula is the number of the lattices divided by the number of the lattices in each line;
ln＝n％(W/wr)
ln is left, the calculation formula means how many lattices are numbered modulo each row of the lattices), if the remainder is 0, the last column ln is r;
obtaining values of rn and ln, the horizontal distance between the grid and the XOY plane of the space coordinate system in the plane of the ground and the horizontal distance between the grid and the YOZ plane can be calculated, and the horizontal distance between the grid center point E and the XOY plane is set as S1, the horizontal distance between the grid center point E and the XOZ plane is set as S2, and the horizontal distance between the grid center point E and the XOZ plane is set as S3:
S1＝(ln-1)*wl+wl/2；
S2＝|(rn-1)*wr+wr/2-lc|；
S3＝hc-h；
wherein lc is the installation distance between the pan-tilt camera and the left wall of the target area, and hc is the installation height between the pan-tilt camera and the ground of the target area;
thus, the coordinates of the center point E of each block in the space coordinate system, namely the point E, can be reversely calculated by numbering the grids (S2, S3, S1); therefore, the lens rotation angle and the zoom factor of the pan-tilt camera when the center point of each grid is shot in the front center can be calculated;
(3) the method comprises the steps of starting cruising, enabling a pan-tilt camera to horizontally rotate from a starting point S, enabling grids where the starting point S is located to be starting positions of cruising, starting traversing cruising snapshot on small grids one by one, controlling accurate rotation of a camera pan-tilt through a computer program, shooting pictures of corresponding positions after the pan-tilt rotates in place, storing the pictures, and completing cruising snapshot of a whole target area after grid shooting is finished.
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Application publication date: 20210604 |