CN102143313A - Camera control system and method and adjusting device with control system - Google Patents
Camera control system and method and adjusting device with control system Download PDFInfo
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- CN102143313A CN102143313A CN2010103010666A CN201010301066A CN102143313A CN 102143313 A CN102143313 A CN 102143313A CN 2010103010666 A CN2010103010666 A CN 2010103010666A CN 201010301066 A CN201010301066 A CN 201010301066A CN 102143313 A CN102143313 A CN 102143313A
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Abstract
The invention discloses a camera adjusting device, which is used for adjusting a first camera. The camera adjusting device comprises a second camera, a rail and a camera control system, wherein the second camera is used for shooting an image of a user; and the camera control system is used for receiving the image of the user which is shot by the second camera, sensing the image to obtain a facial region in the image, operating the obtained facial region to obtain a head inclination angle of the user and transmitting a corresponding control signal according to the obtained head inclination angle so as to correspondingly control the first camera to move to a corresponding position of the rail. The invention also provides a camera control system and a camera control method.
Description
Technical field
The present invention relates to a kind of video camera control system and method, also relate to a kind of video camera adjusting device that comprises described video camera control system.
Background technology
When the traditional photography machine changes the camera lens visual angle at needs, can only realize by operating exclusive controller.At medical field, the doctor often need carry out the observation of multi-angle to affected part when the patient is undergone surgery, so will bring great inconvenience to the doctor.
Summary of the invention
In view of above content, be necessary to provide a kind of video camera control system and method, described control system and method can make the user can easily control video camera.Also be necessary to provide a kind of video camera adjusting device that comprises above-mentioned video camera control system.
A kind of video camera control system is used to control one first video camera, comprising:
One face's detecting module is used to receive the image from the captured user of one second video camera, and it is detected to obtain the face area in this image;
One first computing module is used for the face area that obtains is carried out computing, to learn user's head inclination angle; And
One control module is used for sending corresponding control signal according to the head inclination angle that obtains, and controls the correspondence position that described first video camera moves to a track with correspondence.
A kind of camera control method is used to control one first video camera, and described camera control method comprises:
Detecting step: receive image, and it is detected to obtain the face area in this image from the captured user of one second video camera;
First calculation step: the face area that obtains is carried out computing, to learn user's head inclination angle; And
First controlled step: send corresponding control signal according to the head inclination angle that obtains, control the correspondence position that described first video camera moves to a track with correspondence.
A kind of video camera adjusting device is used to adjust one first video camera, and described video camera adjusting device comprises:
One second video camera is used to take user's image;
One track, described first video camera are arranged on the described track and can move on described track; And
One video camera control system, be used to receive the captured user's of second video camera image, and it is detected to obtain the face area in this image, also be used for the face area that obtains is carried out computing, to learn the characteristic of face area, and send corresponding control signal according to the characteristic of the face area that obtains, control described first video camera with correspondence.
Above-mentioned video camera adjusting device, video camera control system and camera control method are by detecting the captured user's who obtains of second video camera image, to obtain the face area in the image, and by face area being carried out computing to learn user's head inclination angle, thereby send corresponding control signal and make corresponding action, avoid controlling the action of first video camera by exclusive controller to control first video camera.When this video camera control system and camera control method utilization during, will bring great convenience to the healthcare givers in fields such as medical treatment.
Description of drawings
Fig. 1 is the schematic diagram that utilizes the better embodiment of video camera adjusting device of the present invention.
Fig. 2 is the schematic diagram of the better embodiment of video camera control system among Fig. 1.
Schematic diagram when Fig. 3 A-3C is user's a head inclination.
Fig. 4 A-4C is the schematic diagram in head when rotation of user.
Schematic diagram when Fig. 5 A-5C comes back or bows for the user.
Fig. 6 A is first schematic diagram of adjusting video camera by video camera adjusting device among Fig. 1.
Fig. 6 B is second schematic diagram of adjusting video camera by video camera adjusting device among Fig. 1.
Fig. 6 C is the 3rd schematic diagram of adjusting video camera by video camera adjusting device among Fig. 1.
Fig. 7 is the schematic diagram of the better embodiment of camera control method of the present invention.
The main element symbol description
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10、30 |
| The video |
20 |
| Face's detecting |
200 |
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210 |
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220 |
| The |
230 |
| The |
250 |
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260 |
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40 |
| The |
50 |
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510、520、530 |
Embodiment
Below in conjunction with accompanying drawing and better embodiment the present invention is described in further detail:
Please refer to Fig. 1, video camera adjusting device of the present invention is used to adjust a video camera 10, as changes camera lens visual angle of this photography and 10 etc.The better embodiment of this video camera adjusting device comprises a video camera control system 20, another video camera 30 and a track 40.
Described video camera 30 is used to take user 50 image, and this image is sent to video camera control system 20.After 20 pairs of images of described video camera control system are handled, according to user 50 the head anglec of rotation, head inclination angle and face and corresponding camera lens visual angle, lens location and the scaling etc. of controlling video camera 10 of the distance between the object of reference.Wherein, the lens location of described video camera 10 can move on track 40 by control video camera 10 and realize.
Please continue with reference to figure 2, the better embodiment of described video camera control system 20 comprises face's detecting module 200, one first computing module 210, one second computing module 220, one the 3rd computing module 230, one the 4th computing module 250 and a control module 260.
Described face detecting module 200 is used to receive the image from the captured user 50 of video camera 30, and it is detected to obtain the face area in this image.Wherein, described face detecting module 200 can utilize the Adaboost algorithm that image is carried out face's detecting.
Described first computing module 210 is used for the face area that obtains is carried out computing, to learn the angle of inclination of user 50 head at this moment.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, the angle of inclination of user 50 head is 0 degree.Wherein, described first computing module 210 can by the face area that calculates and when user 50 face during over against video camera 30 angle between the face area obtain the angle of inclination of user 50 face.Certainly, in other execution modes, described first computing module 210 can utilize more complicated account form, as obtaining user 50 direction of visual lines by complicated algorithm, thereby can obtain user 50 head inclination angle more accurately.Shown in Fig. 3 A-3C, the head inclination angle that user 50 head inclination angle is 0 degree among Fig. 3 A, user 50 head inclination angle is user 50 among left side X degree, Fig. 3 C among Fig. 3 B is a right side X degree.
Described second computing module 220 is used for the face area that obtains is carried out computing, to learn user's 50 this moment the head anglec of rotation.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, the anglec of rotation of user 50 head is 0 degree.Wherein, the line that described second computing module 220 can be by calculating eyeball and video camera 30 in the face area and when user 50 face during over against video camera 30 in the face area angle between the line of eyeball and video camera 30 obtain the anglec of rotation of user 50 head.Certainly, in other execution modes, described second computing module 220 can utilize more complicated account form, with the anglec of rotation of the head that obtains user 50 more accurately.Shown in Fig. 4 A-4C, user 50 the head anglec of rotation is 0 degree among Fig. 4 A, user 50 the head anglec of rotation is X degree to the right for the head anglec of rotation of user 50 among X degree, Fig. 4 C left among Fig. 4 B.
Described the 3rd computing module 230 is used for the face area that obtains is carried out computing, is in the state that comes back or bow with the head of learning user 50 this moment.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, user 50 neither comes back and does not also bow.Wherein, described the 3rd computing module 230 can learn that user 50 head is for coming back or bowing by the position of calculating eyeball in the face area.Certainly, in other execution modes, described the 3rd computing module 230 even can utilize more complicated account form is to obtain the angle that user 50 comes back or bows.Shown in Fig. 5 A-5C, among Fig. 5 A user 50 neither come back do not bow yet, among Fig. 5 B user 50 head for come back, among Fig. 5 C user 50 head for bowing.
Described the 4th computing module 250 is used for the face area that obtains is carried out computing, to learn user 50 face and the distance between the video camera 30 this moment.In the present embodiment, being 50 centimetres with user 50 face and the distance between the video camera 30 is reference, promptly when user 50 face and the distance between the video camera 30 are 50 centimetres, described the 4th computing module 250 will this moment users 50 face and the distance of video camera 30 be designated as 0 centimetre.Wherein, the size that described the 4th computing module 250 can be by calculating face area and when user 50 face and the distance between the video camera 30 are 50 centimetres the ratio between the size of face area obtain user 50 face and the distance between the video camera 30.Certainly, in other execution modes, described the 4th computing module 250 can utilize more complicated account form, with the face that obtains user 50 more accurately and the distance between the video camera 30.And, can also other objects in other execution modes as object of reference, 250 of described the 4th computing modules are used to obtain user 50 face and the distance between the object of reference.
Wherein, above-mentioned first to fourth computing module 210,220,230 and characteristic processing modules such as 250 also can be by carrying out computing obtaining other data to face area, even can comprise user 50 number of winks, thereby judge user's action of 50 this moments.In this case, certain feature that user 50 can self-defined user's face area is promptly represented user's a certain action.
Described control module 260 is used for sending corresponding control signal according to angle and face that the anglec of rotation of the angle of inclination of the head that obtains, head, user 50 come back or bow with the distance between the video camera 30.This control signal can be by being provided with voluntarily, and as when the angle of inclination of learning head being left side 10 when spending, described control module 260 sends first control signal, moves counterclockwise along track 40 with control video camera 10 and 10 spend; When the anglec of rotation of learning head for left 10 when spending, described control module 260 sends second control signal, rotates 10 degree with the lens left of control video camera 10; When learning that user 50 comes back 10 when spending, described control module 260 sends the 3rd control signal, with the camera lens of control video camera 10 10 degree of facing upward; When learning distance between face and the object of reference for forward 10 centimetres the time, described control module 260 sends the 4th control signal, puts with the lens focus of control video camera 10 to be twice.
In the present embodiment, described video camera 10 also comprises a driver element (figure does not show), described driver element is used for the motion according to the corresponding control of control signal video camera 10, as orbital motion, lens left or turn right, camera lens is faced upward with the convergent-divergent of nutation and camera lens etc.In other execution modes, described shadow machine control system 20 also comprises a mixed-media network modules mixed-media 270.Described mixed-media network modules mixed-media 270 is used for the control signal that described control module 260 obtains is sent to driver element.
To describe with the principle of an example below first computing module 210 in the video camera control system 20 of the present invention.The principle of other computing modules does not similarly repeat them here.
Please refer to Fig. 6 A, when user 50 face during over against video camera 30,30 couples of users 50 of described video camera take to obtain an image, and this image is through obtaining user's face area after 200 detectings of face's detecting module, as image 510 among Fig. 6 A.This image 510 can be counted as reference picture, and the pairing user's of this reference picture head inclination angle is 0 degree.At this moment, described video camera 10 is positioned at origin position, the A point place of promptly described track 40.
Please continue the 6B with reference to figure, when user 50 head is tilted to the left 45 when spending, 30 couples of users 50 of described video camera take to obtain an image, and this image is through obtaining user 50 face area after 200 detectings of face's detecting module, as image 520 among Fig. 6 B.At this moment, described second computing module 210 carries out computing according to reference picture to image 520, learns user's 50 this moment left-leaning 45 degree of head.Described control module 260 sends a control signal to the driver element of video camera 10 for left-leaning 45 degree according to the angle of inclination of the head that obtains, the then corresponding control of this driver element video camera 10 promptly is positioned at the B point place of Fig. 4 B middle orbit 40 along track 40 45 degree that move clockwise.
Please continue the 6C with reference to figure, when user 50 head is tilted to the right 45 when spending, 30 couples of users 50 of described video camera take to obtain an image, and this image is through obtaining user 50 face area after 200 detectings of face's detecting module, as image 530 among Fig. 6 C.At this moment, described second computing module 210 carries out computing according to reference picture to image 530, learns user's 50 this moment head Right deviation 45 degree.Described control module 260 is the driver element that Right deviation 45 degree send a control signal to video camera 10 according to the angle of inclination of the head that obtains, the then corresponding control of this driver element video camera 10 promptly is positioned at the C point place of Fig. 6 C middle orbit 40 along track 40 45 degree that move counterclockwise.
Please refer to Fig. 7, the better embodiment of camera control method of the present invention may further comprise the steps:
Step S71: described face detecting module 200 receives the image from the captured user 50 of video camera 30, and it is detected to obtain the face area in this image.Wherein, described face detecting module 200 can utilize the Adaboost algorithm that image is carried out face's detecting.
Step S72: 210 pairs of face areas that obtain of described first computing module carry out computing, to learn user's 50 this moment head inclination angle.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, the angle of inclination of user 50 head is 0 degree.Wherein, described first computing module 210 can by the face area that calculates and when user 50 face during over against video camera 30 angle between the face area obtain the angle of inclination of user 50 head.Certainly, in other execution modes, described first computing module 210 can utilize more complicated account form, with the angle of inclination of the head that obtains user 50 more accurately.
Step S73: 220 pairs of face areas that obtain of described second computing module carry out computing, to learn user's 50 this moment the head anglec of rotation.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, the anglec of rotation of user 50 head is 0 degree.Wherein, the line that described second computing module 220 can be by calculating eyeball and video camera 30 in the face area and when user 50 face during over against video camera 30 in the face area angle between the line of eyeball and video camera 30 obtain the anglec of rotation of user 50 head.Certainly, in other execution modes, described second computing module 220 can utilize more complicated account form, with the anglec of rotation of the head that obtains user 50 more accurately.
Step S74: 230 pairs of face areas that obtain of described the 3rd computing module carry out computing, are in the state that comes back or bow with the head of learning user 50 this moment.In the present embodiment, be reference with user 50 face over against video camera 30, promptly when user 50 face during over against video camera 30, user 50 neither comes back and does not also bow.Wherein, described the 3rd computing module 230 can learn that user 50 head is for coming back or bowing by the position of calculating eyeball in the face area.Certainly, in other execution modes, described the 3rd computing module 230 even can utilize more complicated account form is to obtain the angle that user 50 comes back or bows.Shown in Fig. 5 A-5C, among Fig. 5 A user 50 neither come back do not bow yet, among Fig. 5 B user 50 head for come back, among Fig. 5 C user 50 head for bowing.
Step S75: 250 pairs of face areas that obtain of described the 4th computing module carry out computing, to learn user 50 face and the distance between the video camera 30 this moment.In the present embodiment, being 50 centimetres with user 50 face and the distance between the video camera 30 is reference, promptly when user 50 face and the distance between the video camera 30 are 50 centimetres, described the 4th computing module 250 will this moment users 50 face and the distance between the video camera 30 be designated as 0.Wherein, the size that described the 4th computing module 250 can be by calculating face area and when user 50 face and the distance between the video camera 30 are 50 centimetres the ratio between the size of face area obtain user 50 face and the distance between the object of reference.Certainly, in other execution modes, described the 4th computing module 250 can utilize more complicated account form, with the face that obtains user 50 more accurately and the distance between the object of reference.
Wherein, above-mentioned steps S72, S73, S74 and S75 carry out simultaneously, promptly after face's detecting module 200 obtains face area in the image, 210,220,230 and 250 of described first to fourth computing modules carry out computing to the face area that obtains, angle that comes back or bow with head inclination angle, the head anglec of rotation, the user 50 who learns user 50 this moment and the distance between face and the object of reference.In addition, above-mentioned first to fourth computing module 210,220,230 and 250 also can be by carrying out computing obtaining other data to face area, even can comprise user 50 number of winks, thereby judge user's action of 50 this moments.In this case, certain feature that can self-defined user's 50 face areas is promptly represented a certain action of the user 50.Execution in step S76 after the action of learning user 50.
Step S76: described control module 260 is sent corresponding control signal according to the angle of inclination of the head that obtains, the anglec of rotation of head, angle and the face that user 50 comes back or bows with the distance between the object of reference.This control signal can be by being provided with voluntarily, and as when the angle of inclination of learning head being right side 45 when spending, described control module 260 transmits control signal to move counterclockwise along track 40 with control video camera 10 and 45 spends; When the anglec of rotation of learning head for to the right 45 when spending, described control module 260 camera lens with control video camera 10 45 degree that turn right that transmit control signal; When learning that user 50 bows 45 when spending, described control module 260 transmits control signal with camera lens nutation 45 degree of control video camera 10; When learning distance between face and the object of reference for backward 10 centimetres the time, the lens focus that described control module 260 transmits control signal with control video camera 10 dwindles one times.
Above-mentioned video camera control system 20 and camera control method are by detecting the video camera 30 captured users' that obtain 50 image, to obtain the face area in the image, and by face area being carried out head inclination angle, the head anglec of rotation, user 50 new lines or the angle of bowing and distance face and object of reference between of computing to learn user 50, thereby send corresponding control signal and make corresponding action, avoid controlling the action of video camera 10 by exclusive controller with control video camera 10.When this video camera control system 20 and camera control method utilization during, will bring great convenience to the healthcare givers in fields such as medical treatment.
Claims (13)
1. a video camera control system is used to control one first video camera, comprising:
One face's detecting module is used to receive the image from the captured user of one second video camera, and it is detected to obtain the face area in this image;
One first computing module is used for the face area that obtains is carried out computing, to learn user's head inclination angle; And
One control module is used for sending corresponding control signal according to the head inclination angle that obtains, and controls the correspondence position that described first video camera moves to a track with correspondence.
2. video camera control system as claimed in claim 1 is characterized in that: described video camera control system also comprises one second computing module, and described second computing module is used for the face area that obtains is carried out computing, to learn user's the head anglec of rotation; Described control module also is used for sending corresponding control signal according to the head anglec of rotation that obtains, and controls the lens left of described first video camera or rotates to corresponding position to the right with correspondence.
3. video camera control system as claimed in claim 1 is characterized in that: described video camera control system also comprises one the 3rd computing module, and described the 3rd computing module is used for the face area that obtains is carried out computing, with the angle of learning that the user comes back or bows; Described control module also is used for sending corresponding control signal according to the angle that the user who obtains comes back or bows, and controls the position that camera lens is faced upward or nutation is extremely corresponding of described first video camera with correspondence.
4. video camera control system as claimed in claim 1, it is characterized in that: described video camera control system also comprises one the 4th computing module, described the 4th computing module is used for the face area that obtains is carried out computing, with the face of learning the user and the distance between the object of reference; Described control module also is used for sending corresponding control signal according to the face that obtains with distance between the object of reference, controls the multiplication factor of the camera lens of described first video camera to correspondence with correspondence.
5. a camera control method is used to control one first video camera, and described camera control method comprises:
Detecting step: receive image, and it is detected to obtain the face area in this image from the captured user of one second video camera;
First calculation step: the face area that obtains is carried out computing, to learn user's head inclination angle; And
First controlled step: send corresponding control signal according to the head inclination angle that obtains, control the correspondence position that described first video camera moves to a track with correspondence.
6. camera control method as claimed in claim 5 is characterized in that: also comprise after the described detecting step:
The face area that obtains is carried out computing, to learn user's the head anglec of rotation; And
Send corresponding control signal according to the head anglec of rotation that obtains, control the lens left of described first video camera or rotate to corresponding position to the right with correspondence.
7. camera control method as claimed in claim 5 is characterized in that: also comprise after the described detecting step:
The face area that obtains is carried out computing, with the angle of learning that the user comes back or bows; And
The angle that comes back or bow according to the user who obtains sends corresponding control signal, controls the position that camera lens is faced upward or nutation is extremely corresponding of described first video camera with correspondence.
8. camera control method as claimed in claim 5 is characterized in that: also comprise after the described detecting step:
The face area that obtains is carried out computing, with the face of learning the user and the distance between the object of reference; And
Send corresponding control signal according to the distance between the face that obtains and the object of reference, control the multiplication factor of the camera lens of described first video camera with correspondence to correspondence.
9. a video camera adjusting device is used to adjust one first video camera, and described video camera adjusting device comprises:
One second video camera is used to take user's image;
One track, described first video camera are arranged on the described track and can move on described track; And
One video camera control system, be used to receive the captured user's of second video camera image, and it is detected to obtain the face area in this image, also be used for the face area that obtains is carried out computing, to learn the characteristic of face area, and send corresponding control signal according to the characteristic of the face area that obtains, control described first video camera with correspondence.
10. video camera adjusting device as claimed in claim 9 is characterized in that: described video camera control system comprises:
One face's detecting module is used to receive the image from the captured user of described second video camera, and it is detected to obtain the face area in this image;
One first computing module is used for the face area that obtains is carried out computing, to learn user's head inclination angle; And
One control module is used for sending corresponding control signal according to the head inclination angle that obtains, and controls the correspondence position that described first video camera moves to described track with correspondence.
11. video camera adjusting device as claimed in claim 10 is characterized in that: described video camera control system also comprises one second computing module, and described second computing module is used for the face area that obtains is carried out computing, to learn user's the head anglec of rotation; Described control module also is used for sending corresponding control signal according to the head anglec of rotation that obtains, and controls the lens left of described first video camera or rotates to corresponding position to the right with correspondence.
12. video camera adjusting device as claimed in claim 10, it is characterized in that: described video camera control system also comprises one the 3rd computing module, described the 3rd computing module is used for the face area that obtains is carried out computing, with the angle of learning that the user comes back or bows; Described control module also is used for sending corresponding control signal according to the angle that the user who obtains comes back or bows, and adjusts the position that camera lens is faced upward or nutation is extremely corresponding of described first video camera with correspondence.
13. video camera adjusting device as claimed in claim 10, it is characterized in that: described video camera control system also comprises one the 4th computing module, described the 4th computing module is used for the face area that obtains is carried out computing, with the face of learning the user and the distance between the object of reference; Described control module also is used for sending corresponding control signal according to the face that obtains with distance between the object of reference, adjusts the multiplication factor of the camera lens of described first video camera to correspondence with correspondence.
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| CN2010103010666A CN102143313A (en) | 2010-02-02 | 2010-02-02 | Camera control system and method and adjusting device with control system |
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| CN2010103010666A CN102143313A (en) | 2010-02-02 | 2010-02-02 | Camera control system and method and adjusting device with control system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102572247A (en) * | 2011-12-22 | 2012-07-11 | 王昭东 | Full-angle interactive track camera |
| CN106446977A (en) * | 2015-08-06 | 2017-02-22 | 青岛软控机电工程有限公司 | Material identification code scanning method, device and system |
-
2010
- 2010-02-02 CN CN2010103010666A patent/CN102143313A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102572247A (en) * | 2011-12-22 | 2012-07-11 | 王昭东 | Full-angle interactive track camera |
| CN106446977A (en) * | 2015-08-06 | 2017-02-22 | 青岛软控机电工程有限公司 | Material identification code scanning method, device and system |
| CN106446977B (en) * | 2015-08-06 | 2019-10-22 | 青岛软控机电工程有限公司 | The scan method of material identification code, apparatus and system |
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Application publication date: 20110803 |