CN109120849A - A kind of intelligent image pickup method for the tracking of micro- class - Google Patents

A kind of intelligent image pickup method for the tracking of micro- class Download PDF

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Publication number
CN109120849A
CN109120849A CN201811090606.3A CN201811090606A CN109120849A CN 109120849 A CN109120849 A CN 109120849A CN 201811090606 A CN201811090606 A CN 201811090606A CN 109120849 A CN109120849 A CN 109120849A
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point
shooting
positioning
ssx
magnification
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CN109120849B (en
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朱玉荣
彭泽波
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Anhui Wenxiang Information Technology Co Ltd
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Beijing Wen Xiang Information Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60Control of cameras or camera modules
    • G06T3/06

Abstract

The present invention relates to a kind of intelligent image pickup methods for the tracking of micro- class, what is solved is to shoot technical problem not placed in the middle, ease for use difference, by using including: step 1, the edge in the region of defined analysis detection and the corresponding relationship of shooting positioning, while defining 2-d spatial coordinate system is Z system coordinate;Step 2, using three-dimensional space to the conversion of 2-d spatial coordinate system, the value of magnification of Z system four points of coordinate is converted into corresponding value of magnification, is to shoot the amplification instruction of video camera according to the z coordinate that the quadrangle principle of similitude calculates test point;Step 3, the mapping of test point He practical absolute coordinate xy is calculated using analyzing and detecting to mobile target point using the multipoint positioning of the plane in the region of analysis detection, calculates the positioning instruction of shooting video camera;Step 4, shooting video camera works according to the positioning instruction and amplification instruction of step 2 and step 3, shoots technical solution placed in the middle, preferably resolves the problem, can be used in micro- class.

Description

A kind of intelligent image pickup method for the tracking of micro- class
Technical field
The present invention relates to fields, and in particular to a kind of intelligent image pickup method for the tracking of micro- class.
Background technique
It is that main carrier recording teacher opens in teaching process around single or multiple knowledge points that micro- class, which refers to video, The whole course of teaching of exhibition.Seem extremely important to the video quality of shooting, and micro- class main body is teacher, so mainly also residing in pair Dais, is divided into several regions in micro- class shooting process at present by the track up of teacher, and each region is set with shooting camera A fixed establishing shot point, when teacher enters the shooting point that some region then switches the region, but this mode has limitation, because It has been fixed for shooting point, when the fat or thin teacher of different height gives lessons, personage will not shoot between two parties in picture, influence to teach It learns.
In order to effectively reduce rubbish picture, it is classroom instruction video that whole its core component content of the micro- course of hall, which is presented, in perfection Class example segment, the present invention provide it is a kind of for micro- class tracking intelligent image pickup method.
Summary of the invention
The technical problem to be solved by the present invention is to shootings existing in the prior art, and not placed in the middle, ease for use difference technology is asked Topic.A kind of new intelligent image pickup method for the tracking of micro- class is provided, which, which has, claps Take the photograph it is placed in the middle convenient, precisely, not against target detection point changing features and make target it is placed in the middle always in the planes the characteristics of.
In order to solve the above technical problems, the technical solution adopted is as follows:
A kind of intelligent image pickup method for the tracking of micro- class, the intelligent image pickup method for the tracking of micro- class include:
Step 1, the corresponding relationship at the edge in the region of defined analysis detection and shooting positioning, while defining 2-d spatial coordinate system For Z system coordinate;
Step 2, using three-dimensional space to the conversion of 2-d spatial coordinate system, the value of magnification of Z system four points of coordinate is converted to pair The value of magnification answered is to shoot the amplification instruction of video camera according to the z coordinate that the quadrangle principle of similitude calculates test point;
Step 3, using the region of analysis detection plane multipoint positioning, using analyzing and detecting to mobile target point, The mapping for calculating test point He practical absolute coordinate xy calculates the positioning instruction of shooting video camera;
Step 4, shooting video camera works according to the positioning instruction and amplification instruction of step 2 and step 3, and shooting is placed in the middle.
The working principle of the invention: the present invention defines a kind of edge in the region of analysis detection and pair of shooting positioning first It should be related to.Using three-dimensional space to the conversion of 2-d spatial coordinate system, being changing into for Z system coordinate value of magnification closer from origin is utilized The variation of linear relationship is converted to corresponding value of magnification in the value of magnification of Z system four points of coordinate and is obtained according to the quadrangle principle of similitude To the z coordinate of test point.According to the multipoint positioning of the plane of detection zone, analyzing and detecting to mobile reasonable mesh is utilized Punctuate, as long as test point belongs to the point of the plane domain, in the mapping relations for the mathematical model that multiple spot is formed, according to ratio formula The mapping that test point He practical absolute coordinate xy can accurately be calculated at any time, so that picture is placed in the middle.
In above scheme, for optimization, further, the shooting positioning in step 1 is completed by 4 positioning shooting machines, and 4 fixed Position video camera is separately positioned on A point, B point, C point, D point;
A point is (X1, Y1) in Z coordinate system, B point is (X2, Y2), C point is (X3, Y3), D point is (X4, Y4).
Further, step 2 includes:
The picture for shooting video camera is centrally disposed in each positioning shooting seat in the plane and set, calculates corresponding value of magnification by step A1;
Step A2, the coordinate for defining trace point is SourceX, SourceY, when positioning shooting head detects trace point coordinate, meter Calculate grid scale SSX=SourceX/MaxX, longitudinal ratio SSY=SourceY/MaxY;
Step A3 calculates the value of magnification of target point according to the value of magnification in step A1 are as follows:
CZ=(Q-P) * SSY+P, P=(B-A) * SSX+A, Q=(D-C) * SSX+C;
CZ=((D-C)*SSX+C-((B-A)*SSX+A))*SSY+(B-A)*SSX+A
Finally calculate the amplification instruction CZ of shooting video camera are as follows:
CZ=((Z4-Z3)*SSX+Z3-((Z2-Z1)*SSX+Z1))*SSY+(Z2-Z1)*SSX+Z1。
Further, the step A1 includes:
The position A point (X1, Y1) for setting A positioning shooting machine, by the setting of shooting camera views center in A point (X1, Y1), meter Calculate value of magnification Z1;
The position B point (X2, Y2) for setting B positioning shooting machine, by the setting of shooting camera views center in B point (X2, Y2), meter Calculate value of magnification Z2;
The position C point (X3, Y3) for setting C positioning shooting machine, by the setting of shooting camera views center in C point (X3, Y3), meter Calculate value of magnification Z3;
The position D point (X4, Y4) for setting D positioning shooting machine, by the setting of shooting camera views center in D point (X4, Y4), meter Calculate value of magnification Z4.
Further, step 3 includes:
Step B1 is calculated according to four A, B, C, D points in step 1:
PX=(X2-X1)*SSX+X1,PY=(Y2-Y1)*SSY+Y1,QX=(X4-X3)*SSX+X3,QY=(Y4-Y3)*SSY+Y3;
Calculate the positioning instruction (CX, CY) of shooting video camera:
CX=(X4-X3-X2+X1)*SSX*SSX+(X3+X2-2*X1)*SSX+X1;
CY=(Y4-Y3-Y2+Y1)*SSY*SSY+(Y3+Y2-2*Y1)*SSY+Y1。
Beneficial effects of the present invention: the present invention establishes geometry reflecting using three-dimensional space to two-dimensional surface using mathematical model Variation is penetrated, can quickly calculate the conversion of physical coordinates by positioning coordinate, it is very convenient and accurate, not against target detection The changing features of point and make target placed in the middle always in the planes, be applicable in very much in the scene of micro- class shooting dynamic change.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Schematic diagram is arranged in Fig. 1, positioning shooting machine.
Fig. 2, calculating ratio, which illustrates, to be intended to.
Fig. 3, value of magnification calculate schematic diagram.
Fig. 4, positioning coordinate calculate schematic diagram.
Fig. 5, the intelligent image pickup method flow diagram for the tracking of micro- class.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to limit The fixed present invention.
Embodiment 1
The present embodiment provides a kind of intelligent image pickup method for the tracking of micro- class, such as Fig. 5, the intelligence for the tracking of micro- class is clapped The method of taking the photograph includes:
Step 1, the corresponding relationship at the edge in the region of defined analysis detection and shooting positioning, while defining 2-d spatial coordinate system For Z system coordinate;
Step 2, using three-dimensional space to the conversion of 2-d spatial coordinate system, the value of magnification of Z system four points of coordinate is converted to pair The value of magnification answered is to shoot the amplification instruction of video camera according to the z coordinate that the quadrangle principle of similitude calculates test point;
Step 3, using the region of analysis detection plane multipoint positioning, using analyzing and detecting to mobile target point, The mapping for calculating test point He practical absolute coordinate xy calculates the positioning instruction of shooting video camera;
Step 4, shooting video camera works according to the positioning instruction and amplification instruction of step 2 and step 3, and shooting is placed in the middle.
Specifically, such as Fig. 2, the shooting positioning in step 1 is completed by 4 positioning shooting machines, the difference of 4 positioning shooting machines It is arranged in A point, B point, C point, D point;
A point is (X1, Y1) in Z coordinate system, B point is (X2, Y2), C point is (X3, Y3), D point is (X4, Y4).
Specifically, step 2 includes:
The picture for shooting video camera is centrally disposed in each positioning shooting seat in the plane and set, calculates corresponding value of magnification by step A1;
Step A2, the coordinate for defining trace point is SourceX, SourceY, when positioning shooting head detects trace point coordinate, meter Calculate grid scale SSX=SourceX/MaxX, longitudinal ratio SSY=SourceY/MaxY;
Step A3 calculates the value of magnification of target point according to the value of magnification in step A1 are as follows:
CZ=(Q-P) * SSY+P, P=(B-A) * SSX+A, Q=(D-C) * SSX+C;
CZ=((D-C)*SSX+C-((B-A)*SSX+A))*SSY+(B-A)*SSX+A
Such as Fig. 3, the amplification instruction CZ of shooting video camera is finally calculated are as follows:
CZ=((Z4-Z3)*SSX+Z3-((Z2-Z1)*SSX+Z1))*SSY+(Z2-Z1)*SSX+Z1。
Specifically, the step A1 includes:
The position A point (X1, Y1) for setting A positioning shooting machine, by the setting of shooting camera views center in A point (X1, Y1), meter Calculate value of magnification Z1;
The position B point (X2, Y2) for setting B positioning shooting machine, by the setting of shooting camera views center in B point (X2, Y2), meter Calculate value of magnification Z2;
The position C point (X3, Y3) for setting C positioning shooting machine, by the setting of shooting camera views center in C point (X3, Y3), meter Calculate value of magnification Z3;
The position D point (X4, Y4) for setting D positioning shooting machine, by the setting of shooting camera views center in D point (X4, Y4), meter Calculate value of magnification Z4.
Specifically, step 3 includes:
Step B1 is calculated according to four A, B, C, D points in step 1:
PX=(X2-X1)*SSX+X1,PY=(Y2-Y1)*SSY+Y1,QX=(X4-X3)*SSX+X3,QY=(Y4-Y3)*SSY+Y3;
Such as Fig. 4, the positioning instruction (CX, CY) of shooting video camera is calculated:
CX=(X4-X3-X2+X1)*SSX*SSX+(X3+X2-2*X1)*SSX+X1;
CY=(Y4-Y3-Y2+Y1)*SSY*SSY+(Y3+Y2-2*Y1)*SSY+Y1。
The present embodiment is established geometry using mathematical model and is changed using the mapping of three-dimensional space to two-dimensional surface, and positioning is passed through Coordinate can quickly calculate the conversion of physical coordinates, very convenient and accurate, not against target detection point changing features and So that target is placed in the middle always in the planes, it is applicable in very much in the scene of micro- class shooting dynamic change.
Although the illustrative specific embodiment of the present invention is described above, in order to the technology of the art Personnel are it will be appreciated that the present invention, but the present invention is not limited only to the range of specific embodiment, to the common skill of the art For art personnel, as long as long as various change the attached claims limit and determine spirit and scope of the invention in, one The innovation and creation using present inventive concept are cut in the column of protection.

Claims (5)

1. a kind of intelligent image pickup method for the tracking of micro- class, it is characterised in that: the intelligent shooting side for the tracking of micro- class Method includes:
Step 1, the corresponding relationship at the edge in the region of defined analysis detection and shooting positioning, while defining 2-d spatial coordinate system For Z system coordinate;
Step 2, using three-dimensional space to the conversion of 2-d spatial coordinate system, the value of magnification of Z system four points of coordinate is converted to pair The value of magnification answered is to shoot the amplification instruction of video camera according to the z coordinate that the quadrangle principle of similitude calculates test point;
Step 3, using the region of analysis detection plane multipoint positioning, using analyzing and detecting to mobile target point, The mapping for calculating test point He practical absolute coordinate xy calculates the positioning instruction of shooting video camera;
Step 4, shooting video camera works according to the positioning instruction and amplification instruction of step 2 and step 3, and shooting is placed in the middle.
2. the intelligent image pickup method according to claim 1 for the tracking of micro- class, it is characterised in that: the shooting in step 1 Positioning is completed by 4 positioning shooting machines, and 4 positioning shooting machines are separately positioned on A point, B point, C point, D point;
A point is (X1, Y1) in Z coordinate system, B point is (X2, Y2), C point is (X3, Y3), D point is (X4, Y4).
3. the intelligent image pickup method according to claim 2 for the tracking of micro- class, it is characterised in that: step 2 includes:
The picture for shooting video camera is centrally disposed in each positioning shooting seat in the plane and set, calculates corresponding value of magnification by step A1;
Step A2, the coordinate for defining trace point is SourceX, SourceY, when positioning shooting head detects trace point coordinate, meter Calculate grid scale SSX=SourceX/MaxX, longitudinal ratio SSY=SourceY/MaxY;
Step A3 calculates the value of magnification of target point according to the value of magnification in step A1 are as follows:
CZ=(Q-P) * SSY+P, P=(B-A) * SSX+A, Q=(D-C) * SSX+C;
CZ=((D-C)*SSX+C-((B-A)*SSX+A))*SSY+(B-A)*SSX+A
Finally calculate the amplification instruction CZ of shooting video camera are as follows:
CZ=((Z4-Z3)*SSX+Z3-((Z2-Z1)*SSX+Z1))*SSY+(Z2-Z1)*SSX+Z1。
4. the intelligent image pickup method according to claim 3 for the tracking of micro- class, it is characterised in that: the step A1 packet It includes:
The position A point (X1, Y1) for setting A positioning shooting machine, by the setting of shooting camera views center in A point (X1, Y1), meter Calculate value of magnification Z1;
The position B point (X2, Y2) for setting B positioning shooting machine, by the setting of shooting camera views center in B point (X2, Y2), meter Calculate value of magnification Z2;
The position C point (X3, Y3) for setting C positioning shooting machine, by the setting of shooting camera views center in C point (X3, Y3), meter Calculate value of magnification Z3;
The position D point (X4, Y4) for setting D positioning shooting machine, by the setting of shooting camera views center in D point (X4, Y4), meter Calculate value of magnification Z4.
5. the intelligent image pickup method according to claim 4 for the tracking of micro- class, it is characterised in that: step 3 includes:
Step B1 is calculated according to four A, B, C, D points in step 1:
PX=(X2-X1)*SSX+X1,PY=(Y2-Y1)*SSY+Y1,QX=(X4-X3)*SSX+X3,QY=(Y4-Y3)*SSY+Y3;
Calculate the positioning instruction (CX, CY) of shooting video camera:
CX=(X4-X3-X2+X1)*SSX*SSX+(X3+X2-2*X1)*SSX+X1;
CY=(Y4-Y3-Y2+Y1)*SSY*SSY+(Y3+Y2-2*Y1)*SSY+Y1。
CN201811090606.3A 2018-09-19 2018-09-19 Intelligent shooting method for micro-class tracking Active CN109120849B (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003346132A (en) * 2002-05-28 2003-12-05 Toshiba Corp Coordinate conversion device and coordinate conversion program
CN1554985A (en) * 2002-02-28 2004-12-15 ���չ�˾ Camera system,display and control method,control program and readable medium
CN102629986A (en) * 2012-04-10 2012-08-08 广州市奥威亚电子科技有限公司 Automatic tracking and shooting method
WO2013096120A1 (en) * 2011-12-22 2013-06-27 Pelco, Inc. Transformation between image and map coordinates
CN105354578A (en) * 2015-10-27 2016-02-24 安徽大学 Multi-target object image matching method
CN105894702A (en) * 2016-06-21 2016-08-24 南京工业大学 Invasion detecting alarming system based on multi-camera data combination and detecting method thereof

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1554985A (en) * 2002-02-28 2004-12-15 ���չ�˾ Camera system,display and control method,control program and readable medium
JP2003346132A (en) * 2002-05-28 2003-12-05 Toshiba Corp Coordinate conversion device and coordinate conversion program
WO2013096120A1 (en) * 2011-12-22 2013-06-27 Pelco, Inc. Transformation between image and map coordinates
CN102629986A (en) * 2012-04-10 2012-08-08 广州市奥威亚电子科技有限公司 Automatic tracking and shooting method
CN105354578A (en) * 2015-10-27 2016-02-24 安徽大学 Multi-target object image matching method
CN105894702A (en) * 2016-06-21 2016-08-24 南京工业大学 Invasion detecting alarming system based on multi-camera data combination and detecting method thereof

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Denomination of invention: An Intelligent Shooting Method for Micro Course Tracking

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