CN106034216A - Camera image positioning system and camera image positioning method based on image identification - Google Patents
Camera image positioning system and camera image positioning method based on image identification Download PDFInfo
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Abstract
The invention discloses a camera image positioning system based on image identification. The camera image positioning system comprises the components of an image photographing module which photographs a field first image and transmits the first image to a buffer memory module through a network exchange module; the buffer memory module which performs temporary storage of the first video, wherein the first video is composed X first video pictures, and the size of each first video picture is M*N; a processing module which receives a first video picture from the buffer memory module, intercepts a second video picture which comprises a target object and has a size of m*n from each first video picture, and forming a continuous second video from the intercepted second video pictures, wherein M>m and N>n, and the motion direction of the target object in the formed second video is consistent with that of the target object in the first video; and a storage module which stores the second video. The invention further discloses a camera image positioning method based on image identification. The camera image positioning system and the camera image positioning method settle a problem of unsmooth video pictures in prior art.
Description
Technical field
The present invention relates to technical field of image processing, more particularly, to one based on figure
As the camera review alignment system identified and method thereof.
Background technology
At present, no matter it is that Exquisite Course Website is recorded or recorded in video conference, and studio
Performance recording, all corresponding video camera can be set at floor, video camera shooting is whole
The video pictures at individual scene, processes the video pictures of video camera shooting, process
Method is: intercept little video pictures including people in original video pictures,
People in video pictures walks up and down, when people goes to the border of little video pictures
Time, then from original video pictures, intercept little video pictures including people, profit
Although the video pictures processed in this way solves video pictures tracking problem, but
Video pictures is the most smooth, feels it is the limit from video pictures of the people in video pictures to people
Boundary has the most just crossed the centre position of video pictures, and video pictures is one one
, the effect of the video pictures after process is bad.
Summary of the invention
In view of this, present invention is primarily targeted at that offer is a kind of based on image recognition takes the photograph
Camera image location system and method thereof, it is possible to solve video picture present in prior art
Face is discontinuous, effect problem of poor.
For reaching above-mentioned purpose, the technical scheme is that and be achieved in that:
On the one hand, the invention provides a kind of camera review based on image recognition location system
System, including, photographing module, network exchange module, cache module, processing module and storage
Module, wherein, photographing module, it is fixed on floor, regards for the first of floor
Frequently, and by the first video it is transferred to cache module by network exchange module;Cache module, point
It is not connected with network exchange module and processing module, is used for keeping in the first video, Qi Zhong
One video is made up of X frame the first video pictures, and the size of every frame the first video pictures is
M*N;Processing module, is connected with cache module and memory module respectively, single including receiving
Unit and interception unit, wherein, receive unit, for receiving the first video from cache module
Picture;Interception unit, intercepts from every frame the first video pictures in real time and includes target
Object is at the second video pictures that interior size is m*n, and every frame the second video that will intercept
Picture forms continuous print the second video, wherein, M > m, N > n, and regards second formed
In Pin, the direction of motion of target object is consistent with the direction of motion of target object in the first video
's;Memory module, is connected with processing module, for storage the second video.
Preferably, processing module also includes judging unit, for based on to receiving unit reception
To the first video pictures of adjacent two frames contrast, judge object in the first video
The direction of motion of body.
Preferably, processing module also includes coding unit, for regarding when the first of adjacent two frames
Frequently, when picture does not change, wherein frame first video pictures is lost.
On the other hand, present invention also offers a kind of camera review based on image recognition fixed
Method for position, including: the first video of taking module floor, and the first video is passed through
Network exchange module is transferred to cache module, and wherein, taking module is fixed on floor;
Cache module keeps in the first video, and wherein the first video is made up of X frame the first video pictures,
The size of every frame the first video pictures is M*N;Processing module receives first from cache module
Video pictures, intercepts including target object in real time from every frame the first video pictures
Size is second video pictures of m*n, and is formed even by every frame the second video pictures intercepted
The second continuous video, wherein, M > m, N > n, and object in the second video formed
The direction of motion of body is consistent with the direction of motion of target object in the first video;Storage mould
Block stores the second video.
Preferably, in real time from every frame the first video pictures intercept include that target object exists
Before interior the second video pictures that size is m*n, the method also includes: based on to reception
To the first video pictures of adjacent two frames contrast, judge object in the first video
The direction of motion of body.
Preferably, in real time from every frame the first video pictures intercept include that target object exists
Before interior the second video pictures that size is m*n, the method also includes: when adjacent two frames
The first video pictures when not changing, lose wherein frame first video pictures.
The technique effect of the present invention:
The system of due to the fact that is provided with cache module and processing module, is clapped by photographing module
The video pictures advanced person's row cache taken the photograph, after processing module receives caching from cache module
Video pictures carries out intercepting process, and the video eventually formed is the most smooth, to people feel be
Photographing module follow the movement of target object and movement rather than target object draw from video
The border in face has the most just crossed the centre position of video pictures, solves existing skill
In art, picture is the most smooth, the problem such as picture bradykinesia, jump.
Accompanying drawing explanation
Accompanying drawing described herein is used for providing a further understanding of the present invention, constitutes this Shen
A part please, the schematic description and description of the present invention is used for explaining the present invention, and
Do not constitute inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 shows the camera review based on image recognition of according to embodiments of the present invention
The structural representation of alignment system;
Fig. 2 shows the camera review based on image recognition of according to embodiments of the present invention two
The structural representation of alignment system;
Fig. 3 shows the camera review based on image recognition of according to embodiments of the present invention three
The structural representation of alignment system;
Fig. 4 shows the camera review based on image recognition of according to embodiments of the present invention four
The flow chart of localization method.
Detailed description of the invention
Below with reference to the accompanying drawings and in conjunction with the embodiments, the present invention is described in detail.
Embodiment one
Fig. 1 shows the camera review based on image recognition of according to embodiments of the present invention
The structural representation of alignment system;As it is shown in figure 1, this system includes: photographing module 10,
Network exchange module 20, cache module 30, processing module 40 and memory module 50, wherein,
Photographing module 10, is fixed on floor, for the first video of floor, and
First video is transferred to cache module 30 by network exchange module 20;
Cache module 30, is connected with network exchange module 20 and processing module 40 respectively,
For keeping in the first video, wherein the first video is made up of X frame the first video pictures, every frame
The size of the first video pictures is M*N;
Processing module 40, is connected with cache module 30 and memory module 50 respectively, including
Reception unit 402 and interception unit 404, wherein,
Receive unit 402, for receiving the first video pictures from cache module 30;
Interception unit 404, intercepts from every frame the first video pictures in real time and includes mesh
Mark object is at the second video pictures that interior size is m*n, and is regarded by the every frame second intercepted
Frequently picture forms continuous print the second video, wherein, M > m, N > n, and second formed
In video, the direction of motion of target object is one with the direction of motion of target object in the first video
Cause;
Such as, in classroom, record Exquisite Course Website, fix a photographing module to shoot whole saying
Platform, now, above-mentioned described target object is teacher, the whole teaching process of shooting teacher
(bat is the big panorama at teacher and dais), the video of shooting is the first video, and this is years old
Every frame video pictures in one video is the first video pictures, it is assumed that the first video pictures is high
Clear video pictures 1920*1080 (being equivalent to M*N), the first video of shooting is temporarily stored into slow
Storing module, processing module will receive the first video pictures having been taken by from cache module,
And the size intercepted including teacher from every frame the first video pictures in real time is
SD second video pictures of 720*576 (being equivalent to m*n), and the every frame second that will intercept
Video pictures forms continuous print the second video, and now, processing module intercepts the bar of video pictures
Part is, the direction of motion of teacher and the fortune of teacher in the first video in the second video formed
Dynamic direction is consistent, it is assumed that teacher on dais be walk from left to right (in the first video
The direction of motion of teacher is from left to right), and the fortune of teacher in the second video formed after processing
Dynamic direction is also from left to right.After process broadcast video pictures to people feel be shooting
Module follows the movement of teacher and movement, and video pictures is smooth, solves in prior art
Picture is the most smooth, the problem that picture effect is bad.
Equally, in same classroom, then fixedly mount a photographing module to shoot whole religion
All of student in room, now, above-mentioned described target object is each student, it is assumed that certain
Individual student station erects the problem answering teacher, and the action that this student station gets up is from down to up
, now, processing module intercept the direction of motion of the second video middle school student formed be by under
To upper, the action got up by student station forms continuous print the second video.
If it is desired to obtain the video pictures of high definition, it is necessary to arrange a resolution at floor
The higher photographing module of rate.
Memory module 50, is connected with processing module 40, for storage the second video.
This system can also apply video conference recording, the performance recording of studio and
The fields such as radio and television.
Embodiments of the invention are provided with cache module and processing module due to system, will
Video pictures advanced person's row cache of photographing module shooting, processing module receives from cache module
Video pictures after caching carries out intercepting process, and the video eventually formed is the most smooth, gives
People feel photographing module follow the movement of target object and movement rather than object
Body has the most just crossed the centre position of video pictures from the border of video pictures, solves
In prior art of having determined, picture is the most smooth, the problem such as picture bradykinesia, jump.
Embodiment two
Fig. 2 shows the camera review based on image recognition of according to embodiments of the present invention two
The structural representation of alignment system, as in figure 2 it is shown, processing module 40 also includes judging unit
406, for right based on the first video pictures receiving adjacent two frames that unit receives is carried out
Ratio, judges the direction of motion of target object in the first video.
Such as, position and the xth frame to the teacher in the first video pictures of xth-1 frame
The position of the teacher in the first video pictures contrasts, if the first video of xth-1 frame is drawn
The position of the teacher in face is leaned on relative to the position of the teacher in the first video pictures of xth frame
Left side, then judge that the direction of motion of teacher is as from left to right.
Wherein, the amount of storage of cache module is the biggest, to processing module large area flicker reduction of video pictures time
Between the most, the video pictures after process is the most smooth, and effect is more preferable.
Embodiment three
Fig. 3 shows the camera review based on image recognition of according to embodiments of the present invention three
The structural representation of alignment system, as it is shown on figure 3, processing module 40 also includes coding unit
408, for when the first video pictures of adjacent two frames does not change, lose wherein one
Frame the first video pictures.
Such as, do not send out with xth frame the first video pictures when xth-1 frame the first video pictures
During changing, i.e. it is believed that teacher does not walk about it is also assumed that do not learn on dais
Raw going to occurs on dais in the first video pictures, as long as the first video pictures is not sent out
Changing, coding unit will lose a wherein frame (x-1 frame or x frame) the first video pictures,
The second video being so subsequently formed will save a lot of memory space, be greatly saved storage
Cost.
Embodiment four
Fig. 4 shows the camera review based on image recognition of according to embodiments of the present invention four
The flow chart of localization method, as shown in Figure 4, the method includes:
Step S401, the first video of taking module floor, and the first video is passed through
Network exchange module is transferred to cache module, and wherein, taking module is fixed on floor;
Step S402, cache module keeps in the first video, and wherein the first video is by X frame first
Video pictures forms, and the size of every frame the first video pictures is M*N;
Step S403, processing module receives the first video pictures, in real time from cache module
Size is m*n second including target object is intercepted from every frame the first video pictures
Video pictures, and every frame the second video pictures intercepted is formed continuous print the second video, its
In, M > m, N > n, and the direction of motion of target object and the in the second video formed
In one video, the direction of motion of target object is consistent;
Such as, in classroom, record Exquisite Course Website, fix a photographing module to shoot whole saying
Platform, now, above-mentioned described target object is teacher, the whole teaching process of shooting teacher
(bat is the big panorama at teacher and dais), the video of shooting is the first video, and this is years old
Every frame video pictures in one video is the first video pictures, it is assumed that the first video pictures is high
Clear video pictures 1920*1080 (being equivalent to M*N), the first video of shooting is temporarily stored into slow
Storing module, processing module will receive the first video pictures having been taken by from cache module,
And the size intercepted including teacher from every frame the first video pictures in real time is
SD second video pictures of 720*576 (being equivalent to m*n), and the every frame second that will intercept
Video pictures forms continuous print the second video, and now, processing module intercepts the bar of video pictures
Part is, the direction of motion of teacher and the fortune of teacher in the first video in the second video formed
Dynamic direction is consistent, it is assumed that teacher on dais be walk from left to right (in the first video
The direction of motion of teacher is from left to right), and the fortune of teacher in the second video formed after processing
Dynamic direction is also from left to right.After process broadcast video pictures to people feel be shooting
Module follows the movement of teacher and movement, and video pictures is smooth, solves in prior art
Picture is the most smooth, the problem such as picture bradykinesia, jump.
Equally, in same classroom, then fixedly mount a photographing module to shoot whole religion
All of student in room, now, above-mentioned described target object is each student, it is assumed that certain
Individual student station erects the problem answering teacher, and the action that this student station gets up is from down to up
, now, processing module intercept the direction of motion of the second video middle school student formed be by under
To upper, the action got up by student station forms continuous print the second video.
Wherein, intercept including target object from every frame the first video pictures in real time
The second video pictures that size is m*n before, the method also includes: based on to receiving
The first video pictures of adjacent two frames contrast, judge target object in the first video
The direction of motion.
Such as, position and the xth frame to the teacher in the first video pictures of xth-1 frame
The position of the teacher in the first video pictures contrasts, if the first video of xth-1 frame is drawn
The position of the teacher in face is leaned on relative to the position of the teacher in the first video pictures of xth frame
Left side, then judge that the direction of motion of teacher is as from left to right.
Wherein, the amount of storage of cache module is the biggest, to processing module large area flicker reduction of video pictures time
Between the most, the video pictures after process is the most smooth, and effect is more preferable.
Wherein, intercept including target object from every frame the first video pictures in real time
The second video pictures that size is m*n before, the method also includes: when adjacent two frames
When first video pictures does not change, lose wherein frame first video pictures.
Such as, do not send out with xth frame the first video pictures when xth-1 frame the first video pictures
During changing, i.e. it is believed that teacher does not walk about it is also assumed that do not learn on dais
Raw going to occurs on dais in the first video pictures, as long as the first video pictures is not sent out
Changing, coding unit will lose a wherein frame (x-1 frame or x frame) the first video pictures,
The second video being so subsequently formed will save a lot of memory space, be greatly saved storage
Cost.
If it is desired to obtain the video pictures of high definition, it is necessary to arrange a resolution at floor
The higher photographing module of rate.
Step S404, memory module stores the second video.
The method can also apply video conference recording, the performance recording of studio and
The fields such as radio and television.
The video pictures that photographing module shoots first is cached by embodiments of the invention, place
Video pictures after reason module receives caching from cache module carries out intercepting process, finally
The video formed is the most smooth, feels that photographing module follows the movement of target object to people
And movement rather than target object the most just cross from the border of video pictures
The centre position of video pictures, solves picture in prior art the most smooth, and picture reaction is late
The problems such as blunt, jump;Meanwhile, do not change when the first video pictures of adjacent two frames
Time, processing module will wherein frame first video pictures lose, second be so subsequently formed
Video will save a lot of memory space, be greatly saved carrying cost.
The above embodiment of the present invention, owing to being provided with cache module and processing module, will be taken the photograph
As video pictures advanced person's row cache of module photograph, processing module receives slow from cache module
Video pictures after depositing carries out intercepting process, and the video eventually formed is the most smooth, to people
Feel photographing module follow the movement of target object and movement rather than target object
The most just cross the centre position of video pictures from the border of video pictures, solved
In prior art, picture is the most smooth, the problem such as picture bradykinesia, jump;Meanwhile, when
When first video pictures of adjacent two frames does not change, processing module will a wherein frame the
One video pictures is lost, and the second video being so subsequently formed will save a lot of memory space,
It is greatly saved carrying cost.
Obviously, those skilled in the art should be understood that the above-mentioned present invention each module or
Each step can realize with general calculating device, and they can concentrate on single calculating
On device, or it is distributed on the network that multiple calculating device is formed, alternatively, they
Can realize with calculating the executable program code of device, it is thus possible to they are stored
Performed by calculating device in the storage device, or it is integrated that they are fabricated to respectively
Circuit module, or the multiple modules in them or step are fabricated to single integrated circuit mould
Block realizes.So, the present invention is not restricted to the combination of any specific hardware and software.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention,
For a person skilled in the art, the present invention can have various modifications and variations.All
Within the spirit and principles in the present invention, any modification, equivalent substitution and improvement etc. made,
Should be included within the scope of the present invention.
Claims (6)
1. a camera review alignment system based on image recognition, it is characterised in that including:
Photographing module, network exchange module, cache module, processing module and memory module, its
In,
Described photographing module, is fixed on floor, for the first video of floor,
And described first video is transferred to described cache module by described network exchange module;
Described cache module, respectively with described network exchange module and described processing module
Being connected, be used for keeping in described first video, wherein said first video is regarded by X frame first
Frequently picture forms, and described in every frame, the size of the first video pictures is M*N;
Described processing module, respectively with described cache module and described memory module phase
Even, including receiving unit and interception unit, wherein,
Described reception unit, draws for receiving described first video from described cache module
Face;
Described interception unit, intercepts from the first video pictures described in every frame in real time
Size including target object is second video pictures of m*n, and every by intercept
Described in frame, the second video pictures forms continuous print the second video, wherein, M > m, N > n,
And the direction of motion of target object regards with described first in described second video formed
In Pin, the direction of motion of target object is consistent;
Described memory module, is connected with described processing module, is used for storing described second and regards
Frequently.
Camera review alignment system based on image recognition the most according to claim 1, its
Being characterised by, described processing module also includes judging unit, for based on to described reception
Described first video pictures of adjacent two frames that unit receives contrasts, and judges institute
State the direction of motion of target object in the first video.
Camera review alignment system based on image recognition the most according to claim 1, its
Being characterised by, described processing module also includes coding unit, for when the institute of adjacent two frames
State the first video pictures when not changing, lose wherein the first video described in a frame and draw
Face.
4. a camera review localization method based on image recognition, it is characterised in that including:
First video of taking module floor, and described first video is passed through network
Switching Module is transferred to cache module, and wherein, described taking module is fixed on floor;
Described cache module keeps in described first video, and wherein said first video is by X frame
First video pictures forms, and described in every frame, the size of the first video pictures is M*N;
Processing module receives described first video pictures from described cache module, in real time
The size intercepted including target object from the first video pictures described in every frame is
Second video pictures of m*n, and described in the every frame that will intercept, the second video pictures is formed even
The second continuous video, wherein, M > m, N > n, and in described second video formed
The direction of motion of target object with the direction of motion of target object in described first video is
Consistent;
Memory module stores described second video.
Camera review localization method based on image recognition the most according to claim 4, its
It is characterised by, intercepts from the first video pictures described in every frame in real time and include object
Body is before the second video pictures that interior size is m*n, and the method also includes: based on
Described first video pictures of adjacent two frames received is contrasted, judges described
The direction of motion of target object in first video.
Camera review localization method based on image recognition the most according to claim 4, its
It is characterised by, intercepts from the first video pictures described in every frame in real time and include object
Body is before the second video pictures that interior size is m*n, and the method also includes: work as phase
When described first video pictures of adjacent two frames does not change, lose wherein described in a frame
First video pictures.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112235598A (en) * | 2020-09-27 | 2021-01-15 | 深圳云天励飞技术股份有限公司 | Video structured processing method and device and terminal equipment |
CN113014793A (en) * | 2019-12-19 | 2021-06-22 | 华为技术有限公司 | Video processing method and electronic equipment |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040017386A1 (en) * | 2002-07-26 | 2004-01-29 | Qiong Liu | Capturing and producing shared multi-resolution video |
CN202524495U (en) * | 2012-02-07 | 2012-11-07 | 北京同步科技有限公司 | Course recording system based on fixed camera position, and video processing device |
CN103248855A (en) * | 2012-02-07 | 2013-08-14 | 北京同步科技有限公司 | Fixed seat-based lesson recording system, video processing device and lesson recording method |
US20130272394A1 (en) * | 2012-04-12 | 2013-10-17 | Activevideo Networks, Inc | Graphical Application Integration with MPEG Objects |
CN103905734A (en) * | 2014-04-17 | 2014-07-02 | 苏州科达科技股份有限公司 | Method and device for intelligent tracking and photographing |
CN104125433A (en) * | 2014-07-30 | 2014-10-29 | 西安冉科信息技术有限公司 | Moving object video surveillance method based on multi-PTZ (pan-tilt-zoom)-camera linkage structure |
CN104301769A (en) * | 2014-09-24 | 2015-01-21 | 华为技术有限公司 | Image presenting method, terminal device and server |
-
2015
- 2015-03-10 CN CN201510103269.7A patent/CN106034216A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040017386A1 (en) * | 2002-07-26 | 2004-01-29 | Qiong Liu | Capturing and producing shared multi-resolution video |
CN202524495U (en) * | 2012-02-07 | 2012-11-07 | 北京同步科技有限公司 | Course recording system based on fixed camera position, and video processing device |
CN103248855A (en) * | 2012-02-07 | 2013-08-14 | 北京同步科技有限公司 | Fixed seat-based lesson recording system, video processing device and lesson recording method |
US20130272394A1 (en) * | 2012-04-12 | 2013-10-17 | Activevideo Networks, Inc | Graphical Application Integration with MPEG Objects |
CN103905734A (en) * | 2014-04-17 | 2014-07-02 | 苏州科达科技股份有限公司 | Method and device for intelligent tracking and photographing |
CN104125433A (en) * | 2014-07-30 | 2014-10-29 | 西安冉科信息技术有限公司 | Moving object video surveillance method based on multi-PTZ (pan-tilt-zoom)-camera linkage structure |
CN104301769A (en) * | 2014-09-24 | 2015-01-21 | 华为技术有限公司 | Image presenting method, terminal device and server |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113014793A (en) * | 2019-12-19 | 2021-06-22 | 华为技术有限公司 | Video processing method and electronic equipment |
WO2021121374A1 (en) * | 2019-12-19 | 2021-06-24 | 华为技术有限公司 | Video processing method and electronic device |
CN112235598A (en) * | 2020-09-27 | 2021-01-15 | 深圳云天励飞技术股份有限公司 | Video structured processing method and device and terminal equipment |
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Application publication date: 20161019 |