CN104486542A - Triggering picture taking method and device - Google Patents
Triggering picture taking method and device Download PDFInfo
- Publication number
- CN104486542A CN104486542A CN201410705718.0A CN201410705718A CN104486542A CN 104486542 A CN104486542 A CN 104486542A CN 201410705718 A CN201410705718 A CN 201410705718A CN 104486542 A CN104486542 A CN 104486542A
- Authority
- CN
- China
- Prior art keywords
- human body
- taking pictures
- limb action
- image
- target region
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Image Analysis (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the invention discloses a triggering picture taking method and device. The method comprises the following steps: getting an image frame obtained imaging of a camera; identifying a human target area in the image frame; getting a preset picture taking sample body action image; judging whether the human target area comprises an image region matched with the picture taking sample body action image, getting preset picture taking delay if yes, and controlling the camera to take pictures when the picture taking delay is arrived. The triggering picture taking method and device can improve the convenience of the picture taking operation.
Description
Technical field
The present invention relates to electronic technology field, particularly relate to method and device that a kind of triggering takes pictures.
Background technology
Along with the development of terminal technology, camera has become the standard configuration of large multi-terminal equipment, for user shooting is provided, the function such as to take pictures, great enjoyment and convenience is brought to people's live and work, and camera pixel is more and more higher, be intended to allow user photograph video or the photo of better quality.
Current user utilizes camera shooting terminal when autodyning, mostly need user to pass through to control shutter triggering to take pictures, cause camera coverage less, user's posture of taking pictures is limited to, and user by control shutter trigger take pictures time, easily cause camera shooting terminal to rock, cause image blurring, user needs to make repeated attempts.
Summary of the invention
A kind of method that the embodiment of the present invention provides triggering to take pictures and device, can improve the convenience of photographing operation.
In order to solve the problems of the technologies described above, the invention provides a kind of method that triggering is taken pictures, described method comprises:
Obtain the picture frame that camera imaging obtains;
Identify the human body target region in described picture frame;
Obtain the sample limb action image of taking pictures preset;
Judge in described human body target region, whether to comprise the image-region with described sample limb action images match of taking pictures, if so, then obtain the time delay of taking pictures preset, control camera when described time delay of taking pictures is arrived at and take pictures.
Correspondingly, present invention also offers the device that a kind of triggering is taken pictures, described device comprises:
Picture frame acquiring unit, for obtaining the picture frame that camera imaging obtains;
Recognition unit, for identifying the human body target region in described picture frame;
Sample acquisition unit, for obtaining default sample limb action image of taking pictures;
Judging unit, for judging whether comprise the image-region with described sample limb action images match of taking pictures in described human body target region;
Described sample acquisition unit, also for when the judged result of described judging unit is for being, obtains the time delay of taking pictures preset;
Control unit, takes pictures for controlling camera when described time delay of taking pictures is arrived at.
The embodiment of the present invention, by the human body target region in recognition image frame, determines to comprise in described human body target region the image-region with sample limb action images match of taking pictures, and then control camera is taken pictures when the time delay of taking pictures preset is arrived at.Achieve the sample limb action image of taking pictures by identifying user, and then control camera is taken pictures, and improves the convenience of operation.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the method that a kind of triggering that the embodiment of the present invention provides is taken pictures;
Fig. 2 is the schematic flow sheet of the method that a kind of triggering that another embodiment of the present invention provides is taken pictures;
Fig. 3 is the structural representation of the device that a kind of triggering that the embodiment of the present invention provides is taken pictures;
Fig. 4 is the application scenarios of the method that a kind of triggering that the embodiment of the present invention provides is taken pictures.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
The application scenarios that the embodiment of the present invention is mentioned can be as shown in Figure 4, when user utilizes terminal to carry out non-hand-hold type auto heterodyne, within the scope of distance terminal certain distance, is taken pictures by limb action control terminal.
Fig. 1 is the schematic flow sheet of the method that a kind of triggering that the embodiment of the present invention provides is taken pictures, and as shown in the figure, the method that described triggering is taken pictures can comprise:
S101, obtains the picture frame that camera imaging obtains.
Concrete, the limb action receiving user's input controls the request of taking pictures, and starts camera, obtains the picture frame that camera imaging obtains.Above-mentioned camera can be the smart mobile phone (as Android phone, iOS mobile phone etc.) with camera function camera, there is the camera of the panel computer of camera function or there is the first-class camera with limb action recognition function of shooting of Intelligent worn device of camera function.Above-mentioned limb action recognition function can be realized by action recognition technology existing in prior art, such as, user is when entering in camera image pickup scope, motion sensor is that the human body image of user sets up a human digit skeleton, and the artis chosen in human digit skeleton, any limb action of user is all identified by the movement of artis in motion sensor determination and analysis human body image.This step continues to carry out until described camera terminates after being taken pictures by control.
S102, identifies the human body target region in described picture frame.
Concrete, by image processing techniques by the human body target region recognition in the picture frame that obtains in step S101 out, above-mentioned human body target region can be one, also can be multiple.The identification in described human body target region is realized by background subtraction method of the prior art, fast matching method, the light stream estimation technique, images match method, global motion estimation algorithm etc.Such as, the image averaging value of picture frame in preset time period can be obtained, this image averaging value can be used as reference picture, picture frame and reference picture are carried out difference operation, what difference was larger is defined as doubtful human body target region, determines human body target region in conjunction with human figure feature from doubtful human body target region.
Optionally, from the human body target region identified, filter out the human body target region that size is greater than region threshold, ignore the human body target region that distance terminal camera presents apart from excessive human body in picture frame.
S103, obtains the sample limb action image of taking pictures preset.
Above-mentioned default sample limb action image of taking pictures can be the image of any human body limb action, such as, kick, shake the head, nod, wave arm, jump etc., and the image of a kind of human body limb action of chosen in advance is as sample limb action image of taking pictures.
S104, judges whether comprise the image-region with described sample limb action images match of taking pictures in described human body target region, if so, then performs step S105; Otherwise, perform step 106.
S105, obtains the time delay of taking pictures preset, and controls camera take pictures when described time delay of taking pictures is arrived at.
S106, does not process.
In specific implementation, whether the human body target region identified in determining step S102 comprises the image-region with described sample limb action images match of taking pictures.Such as, the feature of the artis of sample limb action image in human digit skeleton of taking pictures that can be obtained by analytical procedure S103, whether the artis in the human digit skeleton in the human body target region identified in determining step S102 comprises the feature of the artis of sample limb action image in human digit skeleton of taking pictures.If so, then perform step S105, if not, then perform step S106 and do not process.The judgement of the image-region of sample limb action images match of taking pictures described in can being realized by the Algorithm Analysis etc. based on action sequence of the prior art.
Optionally, obtain the matching times of described human body target region and described sample limb action images match of taking pictures, when described matching times is more than or equal to frequency threshold value, be judged to comprise.Concrete, detect in described human body target region comprise with the image-region of described sample limb action images match of taking pictures after preset time period in, obtain the matching times of human body target region and described sample limb action images match of taking pictures described in picture frame, when described matching times is more than or equal to frequency threshold value, be judged in described human body target region, to comprise the image-region with described sample limb action images match of taking pictures, when described matching times is less than frequency threshold value, be judged in described human body target region, not comprise the image-region with described sample limb action images match of taking pictures.The above-mentioned default time period is a period of time that duration is less than in step S105 delay duration of taking pictures.
Preset from detect human body target region comprise and described sample limb action images match image-region to control camera take pictures time delay of taking pictures, when step S104 judges to comprise the image-region with described sample limb action images match of taking pictures in described human body target region, start-up study module carries out timing, takes pictures when controlling camera when described time delay of taking pictures is arrived at.
The embodiment of the present invention, by the human body target region in recognition image frame, determines to comprise in described human body target region the image-region with sample limb action images match of taking pictures, and then control camera is taken pictures when the time delay of taking pictures preset is arrived at.Achieve the sample limb action image of taking pictures by identifying user, and then control camera is taken pictures, and improves the convenience of operation.
Fig. 2 is the schematic flow sheet of the method that a kind of triggering that another embodiment of the present invention provides is taken pictures, and as shown in the figure, described method can comprise:
S201, obtains the picture frame that camera imaging obtains.
Concrete, the limb action receiving user's input controls the request of taking pictures, and starts camera, obtains the picture frame that camera imaging obtains.Above-mentioned camera can be the smart mobile phone (as Android phone, iOS mobile phone etc.) with camera function camera, there is the camera of the panel computer of camera function or there is the first-class camera with limb action recognition function of shooting of Intelligent worn device of camera function.Above-mentioned limb action recognition function can be by prior art after action recognition technology, such as, user is when entering in camera image pickup scope, motion sensor is that the human body image of user sets up a human digit skeleton, and the artis chosen in human digit skeleton, any limb action of user is all identified by the movement of artis in motion sensor determination and analysis human body image.This step continues to carry out until described camera terminates after being taken pictures by control.
S202, identifies the human body target region in described picture frame.
Concrete, by image processing techniques by the human body target region recognition in the picture frame that obtains in step S201 out, above-mentioned human body target region can be one, also can be multiple.Such as, the image averaging value of picture frame in preset time period can be obtained, this image averaging value can be used as reference picture, picture frame and reference picture are carried out difference operation, what difference was larger is defined as doubtful human body target region, determines human body target region in conjunction with human figure feature from doubtful human body target region.
Optionally, from the human body target region identified, filter out the human body target region that size is greater than region threshold, ignore the human body target region that distance terminal camera presents apart from excessive human body in picture frame.
S203, obtains the sample limb action image of taking pictures preset.
Above-mentioned default sample limb action image of taking pictures can be the image of any human body limb action, such as, kick, shake the head, nod, wave arm, jump etc., and the image of a kind of human body limb action of chosen in advance is as sample limb action image of taking pictures.
S204, determines to comprise the image-region with described sample limb action images match of taking pictures in described human body target region.If so, then perform step S205, if not, then perform step S206.
S205, obtains the time delay of taking pictures preset, and start-up study timing.
S206, does not process.
In specific implementation, whether the human body target region identified in determining step S202 comprises the image-region with described sample limb action images match of taking pictures.Such as, the feature of the artis of sample limb action image in human digit skeleton of taking pictures that can be obtained by analytical procedure S203, whether the artis in the human digit skeleton in the human body target region identified in determining step S202 comprises the feature of the artis of sample limb action image in human digit skeleton of taking pictures.
Optionally, obtain the matching times of described human body target region and described sample limb action images match of taking pictures, when described matching times is more than or equal to frequency threshold value, be judged to comprise.Concrete, detect in described human body target region comprise with the image-region of described sample limb action images match of taking pictures after preset time period in, obtain the matching times of human body target region and described sample limb action images match of taking pictures described in picture frame, when described matching times is more than or equal to frequency threshold value, be judged in described human body target region, to comprise the image-region with described sample limb action images match of taking pictures, when described matching times is less than frequency threshold value, be judged in described human body target region, not comprise the image-region with described sample limb action images match of taking pictures.The above-mentioned default time period is a period of time that duration is less than in step S205 delay duration of taking pictures.Such as, detect in described human body target region in 2 seconds after the image-region of sample limb action images match of taking pictures described in being contained in, get described human body target region and described matching times one of taking pictures sample limb action images match has 4 times, be less than frequency threshold value 5 times, then result of determination is no, if frequency threshold value is 3 times, then result of determination is yes.
Preset from detect human body target region comprise and described sample limb action images match image-region to control camera take pictures time delay of taking pictures, when step S204 judges to comprise the image-region with described sample limb action images match of taking pictures in described human body target region, start-up study module carries out timing.
S207, sends information.
Concrete, after the timing of step S205 start-up study, send information.Described information comprises flashing indicating and/or auditory tone cues, and taking pictures when time delay arrives with reminding user starts to take pictures.Such as, above-mentioned time delay of taking pictures is 5 seconds, and after start-up study timing, flash fire once, then every flash of light in a second once, until time delay of taking pictures is arrived at.And for example, above-mentioned time delay of taking pictures was 5 seconds, after start-up study, can send the voice message of " preparation is taken pictures ", then sent the voice message of " 4 ", " 3 ", " 2 ", " 1 " successively every one second.
S208, obtains the control sample limb action image preset.
Concrete, the control sample limb action that above-mentioned default control sample limb action image is corresponding can be that default representative is taken pictures the limb action of control command, it can be any human body limb action, such as kick, shake the head, nod, to wave arm, jump, above-mentioned control command of taking pictures can be control to switch exposal model or change to take pictures the instruction arranging and wait and operate, above-mentioned exposal model can comprise Night, macro mode, portrait mode of figure, landscape configuration, burst mode etc., above-mentioned take pictures to arrange can comprise ON/OFF photoflash lamp, focus on, focusing, take pictures and image pickup mode conversion, picture quality switching etc.Set up the corresponding relation controlling sample limb action image and control command of taking pictures in advance, such as, kick image is corresponding opens photoflash lamp instruction, and motion images of waving correspondence focuses on the instruction of the human body of waving, the instruction etc. that jump action image correspondence is taken pictures and image pickup mode is changed.
S209, searches the control sample limb action image with described human body target Region Matching.
In specific implementation, judge whether to comprise in described human body target region the image-region that at least one that obtain with step S208 controls sample limb action images match respectively.Such as, the feature of the artis of control sample limb action image in human digit skeleton that can be obtained by analytical procedure S208, whether the feature of the artis in the human digit skeleton in human body target region described in determining step comprises the feature controlling the artis of sample limb action image in human digit skeleton.Filter out the control sample limb action image comprising the image-region of coupling in above-mentioned human body target region.
S210, the control command of taking pictures that the control sample limb action image that acquisition finds is corresponding, control command of taking pictures described in execution.
Concrete, according to the corresponding relation of the control sample limb action image preset with control command of taking pictures, the control command of taking pictures that the control sample limb action image of the image-region of coupling is corresponding is comprised in the above-mentioned human body target region that determining step S209 filters out, and control command of taking pictures described in performing.Such as, the control sample limb action image of the described human body target Region Matching that step S209 finds is kick image and motion images of waving, by inquiring about default control sample limb action image and the corresponding relation of control command of taking pictures, obtain kick image correspondence and open photoflash lamp instruction, motion images of waving correspondence focuses on the instruction of the human body of waving, then open photoflash lamp and focus on the human body of waving.
S211, controls camera and takes pictures when described time delay of taking pictures is arrived at.
The embodiment of the present invention, by the human body target region in recognition image frame, determines described human body target region.In comprise the image-region with sample limb action images match of taking pictures, and then preset time delay of taking pictures arrive at time control camera take pictures.Achieve the sample limb action image of taking pictures by identifying user, and then control camera is taken pictures, and improves the convenience of operation.
Fig. 3 is the structural representation of the device that a kind of triggering that the embodiment of the present invention provides is taken pictures, as shown in the figure, the device that described triggering is taken pictures can comprise: picture frame acquiring unit 301, recognition unit 302, sample acquisition unit 303, judging unit 304 and control unit 305, wherein:
Picture frame acquiring unit 301, for obtaining the picture frame that camera imaging obtains.
Concrete, the limb action receiving user's input controls the request of taking pictures, and starts camera, and picture frame acquiring unit 301 obtains the picture frame that camera imaging obtains.Above-mentioned camera can be the smart mobile phone (as Android phone, iOS mobile phone etc.) with camera function camera, there is the camera of the panel computer of camera function or there is the first-class camera with limb action recognition function of shooting of Intelligent worn device of camera function.Above-mentioned limb action recognition function can be realized by action recognition technology existing in prior art, such as, user is when entering in camera image pickup scope, motion sensor is that the human body image of user sets up a human digit skeleton, and the artis chosen in human digit skeleton, any limb action of user is all identified by the movement of artis in motion sensor determination and analysis human body image.This step continues to carry out until described camera terminates after being taken pictures by control.
Recognition unit 302, for identifying the human body target region in described picture frame.
Concrete, out, above-mentioned human body target region can be one to the human body target region recognition in the picture frame that picture frame acquiring unit 301 is obtained by image processing techniques by recognition unit 302, also can be multiple.The identification in described human body target region is realized by background subtraction method of the prior art, fast matching method, the light stream estimation technique, images match method, global motion estimation algorithm etc.Such as, the image averaging value of picture frame in preset time period can be obtained, this image averaging value can be used as reference picture, picture frame and reference picture are carried out difference operation, what difference was larger is defined as doubtful human body target region, determines human body target region in conjunction with human figure feature from doubtful human body target region.
Optionally, described device can also comprise screening unit 306, for filtering out the human body target region that size is greater than region threshold in the human body target region identified from recognition unit 302, ignore the human body target region that distance terminal camera presents in picture frame apart from excessive human body.
Sample acquisition unit 303, for obtaining default sample limb action image of taking pictures.
Above-mentioned default sample limb action image of taking pictures can be the image of any human body limb action, such as kick, shake the head, nod, wave arm, jump etc., sample acquisition unit 303 gets the image of previously selected a kind of human body limb action as sample limb action image of taking pictures.
Judging unit 304, for judging whether comprise the image-region with described sample limb action images match of taking pictures in described human body target region.
In specific implementation, judging unit 304 judges whether the human body target region that recognition unit 302 identifies comprises the image-region with described sample limb action images match of taking pictures.Such as, the feature of the artis of sample limb action image in human digit skeleton of taking pictures that can be obtained by analyzing samples acquiring unit 303, judges whether the artis in the human digit skeleton in the human body target region that recognition unit 302 identifies comprises the feature of the artis of sample limb action image in human digit skeleton of taking pictures.The judgement of the image-region of sample limb action images match of taking pictures described in can being realized by the Algorithm Analysis etc. based on action sequence of the prior art.
Optionally, described judging unit 304, for obtaining the matching times of described human body target region and described sample limb action images match of taking pictures, when described matching times is more than or equal to frequency threshold value, judge in described human body target region, to comprise the image-region with described sample limb action images match of taking pictures.
Concrete, judging unit 304 detect in described human body target region comprise with the image-region of described sample limb action images match of taking pictures after preset time period in, obtain the matching times of human body target region and described sample limb action images match of taking pictures described in picture frame, when described matching times is more than or equal to frequency threshold value, judging unit 304 judges to comprise the image-region with described sample limb action images match of taking pictures in described human body target region, when described matching times is less than frequency threshold value, judging unit 304 judges not comprise the image-region with described sample limb action images match of taking pictures in described human body target region.The above-mentioned default time period is a period of time that duration is less than the delay duration of taking pictures that described sample acquisition unit 303 obtains.Such as, judging unit 304 detect in described human body target region be contained in described in take pictures sample limb action images match image-region after 2 seconds in, get described human body target region and described matching times one of taking pictures sample limb action images match has 4 times, be less than frequency threshold value 5 times, then result of determination is no, if frequency threshold value is 3 times, then result of determination is yes.
Described sample acquisition unit 303, also for when the judged result of described judging unit 304 is for being, obtains the time delay of taking pictures preset.
Above-mentioned time delay of taking pictures be default from judging unit 304 detect human body target region comprise and described sample limb action images match image-region to control unit 305 control camera take pictures time delay of taking pictures, can to pose for photograph the posture of photograph to make user in the process of time delay of taking pictures.
In a kind of optional embodiment, described device can also comprise Tip element 307, for judging unit 304 judge to comprise in described human body target region with the image-region of described sample limb action images match of taking pictures after, send information.Described information comprises flashing indicating and/or auditory tone cues, and taking pictures when time delay arrives with reminding user starts to take pictures.Such as, above-mentioned time delay of taking pictures is 5 seconds, and after start-up study timing, flash fire once, then every flash of light in a second once, until time delay of taking pictures is arrived at.And for example, above-mentioned time delay of taking pictures was 5 seconds, after start-up study, can send the voice message of " preparation is taken pictures ", then sent the voice message of " 4 ", " 3 ", " 2 ", " 1 " successively every one second.
In another kind of optional embodiment, described sample acquisition unit 303, also for obtaining default control sample limb action image.
Concrete, the control sample limb action that above-mentioned default control sample limb action image is corresponding can be that default representative is taken pictures the limb action of control command, it can be any human body limb action, such as kick, shake the head, nod, to wave arm, jump, above-mentioned control command of taking pictures can be control to switch exposal model or change to take pictures the instruction arranging and wait and operate, above-mentioned exposal model can comprise Night, macro mode, portrait mode of figure, landscape configuration, burst mode etc., above-mentioned take pictures to arrange can comprise ON/OFF photoflash lamp, focus on, focusing, take pictures and image pickup mode conversion, picture quality switching etc.Set up the corresponding relation controlling sample limb action image and control command of taking pictures in advance, such as, kick image is corresponding opens photoflash lamp instruction, and motion images of waving correspondence focuses on the instruction of the human body of waving, the instruction etc. that jump action image correspondence is taken pictures and image pickup mode is changed.
Described judging unit 304, also for searching the control sample limb action image with described human body target Region Matching.
In specific implementation, judging unit 304 judges whether to comprise in described human body target region the image-region that at least one that obtain with sample acquisition unit 303 controls sample limb action images match respectively.Such as, the feature of the artis of control sample limb action image in human digit skeleton that can be obtained by analyzing samples acquiring unit 303, whether the feature of the artis in the human digit skeleton in human body target region described in determining step comprises the feature controlling the artis of sample limb action image in human digit skeleton.Filter out the control sample limb action image comprising the image-region of coupling in above-mentioned human body target region.
Described sample acquisition unit 303, also for obtaining control command of taking pictures corresponding to the control sample limb action image that finds.
Concrete, sample acquisition unit 303, according to the corresponding relation of the control sample limb action image preset with control command of taking pictures, determines to comprise in the above-mentioned human body target region that judging unit 304 filters out the control command of taking pictures that the control sample limb action image of the image-region of coupling is corresponding.Such as, the control sample limb action image of the described human body target Region Matching that judging unit 304 finds is kick image and motion images of waving, sample acquisition unit 303 is by the corresponding relation of inquiry the control sample limb action image preset and control command of taking pictures, obtain kick image correspondence and open photoflash lamp instruction, motion images of waving correspondence focuses on the instruction of the human body of waving.
Control unit 305, takes pictures for controlling camera when described time delay of taking pictures is arrived at.
Optionally, described control unit 305, also for performing the control command of taking pictures that sample acquisition unit 303 gets.
The embodiment of the present invention, by the human body target region in recognition image frame, determines described human body target region.In comprise the image-region with sample limb action images match of taking pictures, and then preset time delay of taking pictures arrive at time control camera take pictures.Achieve the sample limb action image of taking pictures by identifying user, and then control camera is taken pictures, and improves the convenience of operation.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
Above disclosedly be only present pre-ferred embodiments, certainly can not limit the interest field of the present invention with this, therefore according to the equivalent variations that the claims in the present invention are done, still belong to the scope that the present invention is contained.
Claims (10)
1. a triggering method of taking pictures, is characterized in that, comprising:
Obtain the picture frame that camera imaging obtains;
Identify the human body target region in described picture frame;
Obtain the sample limb action image of taking pictures preset;
Judge in described human body target region, whether to comprise the image-region with described sample limb action images match of taking pictures, if so, then obtain the time delay of taking pictures preset, control camera when described time delay of taking pictures is arrived at and take pictures.
2. method according to claim 1, is characterized in that, also comprise after the step in the human body target region in the described picture frame of described identification:
Filter out the human body target region that size is greater than region threshold.
3. method according to claim 1, is characterized in that, describedly judges that the step whether comprised in described human body target region with the image-region of described sample limb action images match of taking pictures comprises:
Obtain the matching times of described human body target region and described sample limb action images match of taking pictures, when described matching times is more than or equal to frequency threshold value, be judged to comprise.
4. method according to claim 1, is characterized in that, described in detect in human body target region comprise with the step of the image-region of described sample limb action images match after also comprise:
Send information, described information comprises flashing indicating and/or auditory tone cues.
5. method according to claim 1, is characterized in that, also comprises after the step of time delay that what described acquisition was preset take pictures:
Obtain the control sample limb action image preset;
Search the control sample limb action image with described human body target Region Matching, the control command of taking pictures that the control sample limb action image that acquisition finds is corresponding, control command of taking pictures described in execution.
6. a triggering device of taking pictures, is characterized in that, comprising:
Picture frame acquiring unit, for obtaining the picture frame that camera imaging obtains;
Recognition unit, for identifying the human body target region in described picture frame;
Sample acquisition unit, for obtaining default sample limb action image of taking pictures;
Judging unit, for judging whether comprise the image-region with described sample limb action images match of taking pictures in described human body target region;
Described sample acquisition unit, also for when the judged result of described judging unit is for being, obtains the time delay of taking pictures preset;
Control unit, takes pictures for controlling camera when described time delay of taking pictures is arrived at.
7. device according to claim 6, is characterized in that, also comprise:
Screening unit, behind the human body target region in picture frame described in described recognition unit identification, filters out the human body target region that size is greater than region threshold.
8. device according to claim 6, it is characterized in that, described judging unit is used for:
Obtain the matching times of described human body target region and described sample limb action images match of taking pictures, when described matching times is more than or equal to frequency threshold value, be judged to comprise.
9. device according to claim 6, is characterized in that, also comprise:
Tip element, for judge at described judging unit to comprise in described human body target region with the image-region of described sample limb action images match of taking pictures after, send information, described information comprises flashing indicating and/or auditory tone cues.
10. device according to claim 6, is characterized in that,
Described sample acquisition unit, also for obtaining default control sample limb action image;
Described judging unit, also for searching the control sample limb action image with described human body target Region Matching;
Described sample acquisition unit, also for searching control command of taking pictures corresponding to control sample limb action image that unit finds described in obtaining;
Described control unit, also for perform described sample acquisition unit obtain described in take pictures control command.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410705718.0A CN104486542A (en) | 2014-11-28 | 2014-11-28 | Triggering picture taking method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410705718.0A CN104486542A (en) | 2014-11-28 | 2014-11-28 | Triggering picture taking method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104486542A true CN104486542A (en) | 2015-04-01 |
Family
ID=52761041
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410705718.0A Pending CN104486542A (en) | 2014-11-28 | 2014-11-28 | Triggering picture taking method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104486542A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105120144A (en) * | 2015-07-31 | 2015-12-02 | 小米科技有限责任公司 | Image shooting method and device |
| CN107592402A (en) * | 2016-07-06 | 2018-01-16 | 北京小米移动软件有限公司 | A kind of method and apparatus of shooting image |
| CN107682632A (en) * | 2017-10-16 | 2018-02-09 | 河南腾龙信息工程有限公司 | A kind of method and multifunction camera of camera automatic camera |
| CN107995417A (en) * | 2017-11-16 | 2018-05-04 | 维沃移动通信有限公司 | A kind of method taken pictures and mobile terminal |
| CN108334858A (en) * | 2018-02-27 | 2018-07-27 | 上海摩象网络科技有限公司 | A kind of method and system shot using action control smart machine |
| CN108737720A (en) * | 2018-04-11 | 2018-11-02 | 努比亚技术有限公司 | Wearable device image pickup method, wearable device and computer readable storage medium |
| CN108833766A (en) * | 2018-03-21 | 2018-11-16 | 北京猎户星空科技有限公司 | Control method, device, smart machine and the storage medium of smart machine |
| CN110191276A (en) * | 2018-02-23 | 2019-08-30 | 北京小米移动软件有限公司 | Switching method and device, the electronic equipment of screening-mode |
| CN111800570A (en) * | 2019-04-01 | 2020-10-20 | 巨擘科技股份有限公司 | Photographing control system and operating method thereof |
| CN112422823A (en) * | 2020-11-09 | 2021-02-26 | 广汽本田汽车有限公司 | Automatic visual shooting triggering method and device |
| CN112770044A (en) * | 2019-11-06 | 2021-05-07 | 北京沃东天骏信息技术有限公司 | Method and device for taking self-timer image |
| CN115734069A (en) * | 2022-11-16 | 2023-03-03 | 安徽宝信信息科技有限公司 | Automatic tracking and image capturing system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20080060007A (en) * | 2006-12-26 | 2008-07-01 | (주)엔토시스 | Apparatus and method for detecting feature vector and apparatus and method for recognizing face from an image using the same |
| CN102710865A (en) * | 2012-06-18 | 2012-10-03 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal with photography function and portrait self-timer method thereof |
| CN103237172A (en) * | 2013-04-28 | 2013-08-07 | 广东欧珀移动通信有限公司 | Method and device of time-lapse shooting |
| CN103576862A (en) * | 2013-11-18 | 2014-02-12 | 合一网络技术(北京)有限公司 | Gesture-control camera shooting method and device |
| CN103685940A (en) * | 2013-11-25 | 2014-03-26 | 上海斐讯数据通信技术有限公司 | Method for recognizing shot photos by facial expressions |
| CN104125396A (en) * | 2014-06-24 | 2014-10-29 | 小米科技有限责任公司 | Image shooting method and device |
-
2014
- 2014-11-28 CN CN201410705718.0A patent/CN104486542A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20080060007A (en) * | 2006-12-26 | 2008-07-01 | (주)엔토시스 | Apparatus and method for detecting feature vector and apparatus and method for recognizing face from an image using the same |
| CN102710865A (en) * | 2012-06-18 | 2012-10-03 | 宇龙计算机通信科技(深圳)有限公司 | Mobile terminal with photography function and portrait self-timer method thereof |
| CN103237172A (en) * | 2013-04-28 | 2013-08-07 | 广东欧珀移动通信有限公司 | Method and device of time-lapse shooting |
| CN103576862A (en) * | 2013-11-18 | 2014-02-12 | 合一网络技术(北京)有限公司 | Gesture-control camera shooting method and device |
| CN103685940A (en) * | 2013-11-25 | 2014-03-26 | 上海斐讯数据通信技术有限公司 | Method for recognizing shot photos by facial expressions |
| CN104125396A (en) * | 2014-06-24 | 2014-10-29 | 小米科技有限责任公司 | Image shooting method and device |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017020498A1 (en) * | 2015-07-31 | 2017-02-09 | 小米科技有限责任公司 | Image shooting method and device |
| RU2634909C2 (en) * | 2015-07-31 | 2017-11-08 | Сяоми Инк. | Method and device for photographing images |
| CN105120144A (en) * | 2015-07-31 | 2015-12-02 | 小米科技有限责任公司 | Image shooting method and device |
| CN107592402A (en) * | 2016-07-06 | 2018-01-16 | 北京小米移动软件有限公司 | A kind of method and apparatus of shooting image |
| CN107682632A (en) * | 2017-10-16 | 2018-02-09 | 河南腾龙信息工程有限公司 | A kind of method and multifunction camera of camera automatic camera |
| CN107995417A (en) * | 2017-11-16 | 2018-05-04 | 维沃移动通信有限公司 | A kind of method taken pictures and mobile terminal |
| CN107995417B (en) * | 2017-11-16 | 2020-09-22 | 维沃移动通信有限公司 | Photographing method and mobile terminal |
| CN110191276A (en) * | 2018-02-23 | 2019-08-30 | 北京小米移动软件有限公司 | Switching method and device, the electronic equipment of screening-mode |
| CN108334858A (en) * | 2018-02-27 | 2018-07-27 | 上海摩象网络科技有限公司 | A kind of method and system shot using action control smart machine |
| CN108833766A (en) * | 2018-03-21 | 2018-11-16 | 北京猎户星空科技有限公司 | Control method, device, smart machine and the storage medium of smart machine |
| CN108737720A (en) * | 2018-04-11 | 2018-11-02 | 努比亚技术有限公司 | Wearable device image pickup method, wearable device and computer readable storage medium |
| CN108737720B (en) * | 2018-04-11 | 2020-12-04 | 努比亚技术有限公司 | Wearable device shooting method, wearable device and computer-readable storage medium |
| CN111800570A (en) * | 2019-04-01 | 2020-10-20 | 巨擘科技股份有限公司 | Photographing control system and operating method thereof |
| CN112770044A (en) * | 2019-11-06 | 2021-05-07 | 北京沃东天骏信息技术有限公司 | Method and device for taking self-timer image |
| CN112422823A (en) * | 2020-11-09 | 2021-02-26 | 广汽本田汽车有限公司 | Automatic visual shooting triggering method and device |
| CN112422823B (en) * | 2020-11-09 | 2022-08-09 | 广汽本田汽车有限公司 | Automatic visual shooting triggering method and device |
| CN115734069A (en) * | 2022-11-16 | 2023-03-03 | 安徽宝信信息科技有限公司 | Automatic tracking and image capturing system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104486542A (en) | Triggering picture taking method and device | |
| JP6388706B2 (en) | Unmanned aircraft shooting control method, shooting control apparatus, and electronic device | |
| JP4656657B2 (en) | Imaging apparatus and control method thereof | |
| US9172858B2 (en) | Apparatus and method for controlling settings of an imaging operation | |
| CN106575027B (en) | Image pickup apparatus and subject tracking method thereof | |
| WO2017008353A1 (en) | Capturing method and user terminal | |
| CN104168418A (en) | Image acquisition device, image acquisition method and terminal | |
| CN107517351B (en) | Photographing mode switching method and device | |
| JP5886479B2 (en) | IMAGING DEVICE, IMAGING ASSIST METHOD, AND RECORDING MEDIUM CONTAINING IMAGING ASSIST PROGRAM | |
| US9888176B2 (en) | Video apparatus and photography method thereof | |
| JP2011182252A (en) | Imaging device, and image imaging method | |
| CN104935698A (en) | Photographing method of smart terminal, photographing device and smart phone | |
| JP2019515519A5 (en) | ||
| CN105979139A (en) | Mobile terminal and shooting method thereof | |
| KR101394289B1 (en) | Device and method for image photographing | |
| CN112017137A (en) | Image processing method, image processing device, electronic equipment and computer readable storage medium | |
| JP2014146989A (en) | Image pickup device, image pickup method, and image pickup program | |
| CN107360366B (en) | Photographing method and device, storage medium and electronic equipment | |
| JP2021132362A (en) | Subject tracking device, subject tracking method, computer program, and storage medium | |
| CN107872622B (en) | Close-range imaging method and mobile terminal | |
| JP2012074894A (en) | Electronic camera | |
| CN112887593B (en) | Image acquisition method and device | |
| CN115914817A (en) | Image shooting method, terminal and storage medium | |
| JP2014225763A (en) | Imaging apparatus, control method of the same, program, and storage medium | |
| JP5293769B2 (en) | Imaging apparatus and program thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150401 |
|
| RJ01 | Rejection of invention patent application after publication |