CN107155018A - Intellectual analysis video camera - Google Patents
Intellectual analysis video camera Download PDFInfo
- Publication number
- CN107155018A CN107155018A CN201610017204.5A CN201610017204A CN107155018A CN 107155018 A CN107155018 A CN 107155018A CN 201610017204 A CN201610017204 A CN 201610017204A CN 107155018 A CN107155018 A CN 107155018A
- Authority
- CN
- China
- Prior art keywords
- video camera
- analysis
- image
- adl
- data
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30244—Camera pose
Abstract
There is intellectual analysis video camera video analysis to build and optimization system, and the present invention is described can also obtain the method for accurate analysis result even if the image or video data from a distortion.It adds gravity sensor (GS) so that video camera can navigate to the direction of target object.Camera is built-in with positioning correction processor (OCP).This (OCP) generates visual angle location data (OD) by the data of lens and gravity sensor (GS).This (OD) can be marked on the image of record, the analyze data collection (AD) that it can help analysis engine (AE) to select optimization carrys out the image of Correct Analysis distortion, and destination object can be accurately detected, engine (ADGE) and head Zoom control module (PTZ) more can be produced with analyze data Ji Ku, to generate optimization image analysing computer message data set storehouse (ADL), intellectual analysis video camera is allowed to reach the detection of the intellectual analysis and object of high accuracy.
Description
Technical field
The present invention relates to safety monitoring apparatus field, a kind of intelligence for having video analysis structure and optimization system is particularly related to
Video camera can be analyzed.
Background technology
On Fig. 2：Traditional DV Organization Chart, traditional DV passes through imaging sensor（Following letter
Claim IS）Receive video.The video data received from IS is subsequent by image-signal processor（Hereinafter referred to as ISP）Handled and
Improve the quality of video image.Video data after processing is then passed through video compression processor by ISP（Hereinafter referred to as VCP）Enter
Row Video compression, the video data after compression is subsequently stored in a local disk or is transferred to a server again
Or cloud is further analysed processing.
Target image is according to camera lens institute depending on being recorded.Fig. 3 shows the shooting effect of three video cameras.As schemed
3A：Horizontal linear complete image figure.Video camera 1 is to region be directly facing target on a horizontal linear, and it have taken the complete of target
Whole image and non-distortion, so the image of record（Fig. 3 A）Maintain correct aspect ratio.Such as Fig. 3 B：Top left side is taken a crane shot downwards
Figure.Video camera 2 is the target of taking a crane shot downwards from top left side, and it is different from the positioning for the same destination object that video camera 1 is shot,
The trunk and the aspect ratio image of Umbrella bodies photographed has reduced as shown in Figure 3 B, and Umbrella bodies are more more elongated than shown in Fig. 3 A.As schemed
3C：Bat figure is faced upward in lower-left on the side, and video camera 3 is to face upward bat target on the side from lower-left, passes through the master captured by the lens of video camera 3
Dry higher, Umbrella bodies are thicker.The aspect ratio of Umbrella bodies shown in Fig. 3 C images and the difference shown in image 3A.
The distortion of the image recorded is that the reason for causing analytical error, such error causes video and graphical analysis not
Accurately.It may carry out the destination object that mistake is presented in detection because of the record video/image data according to distortion.
Compare file
201120340904.0 Cyber camera of intelligent analysis
201220515005.4 a kind of intelligent infrared picture pick-up device
201210072806.2HD-SDI the method for camera transmissions intellectual analysis data
201410429249.4 ball-shaped camera and its control method based on Zigbee wireless networks.
The content of the invention
To solve the distortion for the image that video camera is recorded, cause inaccurate, present invention one kind of video and graphical analysis
Have and add gravity sensor (GS) and visual angle on the intellectual analysis video camera that video analysis builds and optimizes system, video camera
Correction processor (OCP) is positioned, analysis engine can be helped（AE）Select the analyze data collection of optimization（AD）Carry out Correct Analysis
The image of distortion, and destination object can be accurately detected.
To solve the problem of camera video and inaccurate graphical analysis, this creation is realized using following technical scheme：
There is a kind of intellectual analysis video camera video analysis to build and optimization system, even if a kind of image or video counts from a distortion
According to the method that can also obtain an accurate analysis result, include the imaging sensor of web camera（IS）, at picture signal
Manage device（ISP）, gravity sensor (GS), visual angle positioning correction processor (OCP), video compression processor（VCP）, storage analysis
Device（I/O）, image analysing computer message data set storehouse（ADL）, analysis engine（AE）, analyze data Ji Ku produce engine（ADGE）And cloud
Platform Zoom control module (PTZ）, sensitive chip (IS) the acquisition video data of video camera, image-signal processor（ISP）Carry
Gravity sensor (GS) and visual angle positioning correction processor (OCP) are added on high image quality, video camera so that video camera
The direction of target object can be navigated to, camera is built-in with a positioning correction processor（OCP）, this positioning correction processor
(OCP) a visual angle location data is generated by the data of lens and gravity sensor (GS)（OD）, this visual angle location data
（OD）It can be marked on the image of record, it can help analysis engine（AE）Select the analyze data collection of optimization（AD）Come correct
The image of distortion is analyzed, and destination object can be accurately detected, more engine can be produced with analyze data Ji Ku（ADGE）And
Head Zoom control module (PTZ）, to generate optimization image analysing computer message data set storehouse（ADL）, allow intellectual analysis video camera
The detection of the intellectual analysis and object of high accuracy can be reached.
To compare and analyzing faster, this creation forms image analysing computer message data set storehouse using following technical scheme
（ADL）：Described video camera has image analysing computer message data set storehouse（ADL）, this video camera is with the shooting one in advance of various visual angles
A little images, establish image objects distortion ratio value-analyze data collection（AD）, these AD put together, and are formed image point
Analyse message data set storehouse（ADL）, analysis engine (AE) is then according to received video or figure with visual angle location data (OD)
Picture, from the image analysing computer message data set storehouse established in advance（ADL）In, selection one is close or accords with visual angle positioning number
According to（OD）Analyze data collection (AD), to be compared and analyze, to obtain an accurate analysis result.
More accurately to compare and analyzing, this creation is realized using following technical scheme：Described video camera can be with
It is directly connected on the server with analysis engine AE, server may have data center and be connected by network or cloud and every
Platform video camera is attached, and the analysis engine (AE) on server is then according to received regarding with visual angle location data (OD)
Frequency or image, from image analysing computer message data set storehouse（ADL）In, select an analyze data collection that is close or according with the OD
(AD), it is compared and analyzes.
To set up a whole set of preferable image analysing computer message data set storehouse (ADL), this creation using following technical scheme come
Realize：Described video camera is connected to the analysis engine (AE) in Cloud Server computer room by cloud, and Cloud Server has analysis
Data set storehouse produces engine（ADGE）, all images photographed and video visual angle location data (OD) are sent to high in the clouds
Analysis engine (AE) analyze.Analysis engine (AE) will be detected and regarded from the specific of the detection object data of each camera record
Angle location data (OD).If being not belonging to the part in image analysing computer message data set storehouse (ADL) with the OD that detection object is associated,
Notification analysis data set storehouse is produced engine (ADGE) to generate such point associated with the specific OD by analysis engine (AE)
Data set (AD) is analysed, and it is standby in image analysing computer message data set storehouse (ADL) to store this new AD, sets up a whole set of preferable
Image analysing computer message data set storehouse (ADL).
To set up the ability of video camera self-teaching program, this creation is realized using following technical scheme：Described intelligence
Video camera can be analyzed and be directly connected to analysis engine (AE), the ability with self-teaching program, formation can expand from figure
As the intellectual analysis video camera of analysis message data set storehouse (ADL), the image that video camera can detect these（New data set）
It is compared with the analyze data collection (AD) produced by the preassembled preferable positioning of same video camera, any different new figure
Analyzed data set storehouse is produced engine (ADGE) and produces a new analysis by picture and visual angle location data associated with it (OD)
Data set (AD) is simultaneously stored in image analysing computer message data set storehouse (ADL), and the self learning procedure that video camera is carried can help it to set up
The image analysing computer message data set storehouse (ADL) of optimization is played, so as to expand this ADL, possesses accurately analysis and detection work(to reach
Energy.
To set up its camera lens positioning of video camera adjust automatically, described video camera has head Zoom control module
(PTZ）, after video camera is installed, gravity sensor informs the positioning of its destination object.Visual angle positioning correction processor (OCP) generation
Preliminary visual angle location data（OD）, then with the inner preferred visual angle location data in its image analysing computer message data set storehouse (ADL)
（OD）Scope is compared.If preliminary OD within the range when, video camera will keep constant.Otherwise, video camera is passing through
During head Zoom control module (PTZ), visual angle positioning correction processor (OCP) meeting adjust automatically its camera lens positioning, to enter
The preferred OD scopes are to better meeting monitoring requirements.
Simplify installment work using video camera for layman, described video camera has head Zoom control module
(PTZ）, when video camera turns to a new positioning by PTZ modules, head Zoom control module (PTZ）By notification analysis number
Its new OD of engine ADGE is produced according to Ji Ku.Analyze data Ji Ku produces engine（ADGE）Can be from image analysing computer message data set storehouse
（ADL）The corresponding optimization analyze data collection of selection（AD）And it is sent to AE processing.This is special using video camera to layman
Useful, being automatically positioned for video camera is adjusted and optimization analyze data collection（AD）Option will be helpful to simplify video camera erector
Make.
Described video camera has image analysing computer message data set storehouse（ADL）, ADL can also have intellectual analysis video camera
Interior, such intellectual analysis video camera can directly obtain information, carried out without the server by high in the clouds video image analysis and
Object detection, this is a kind of quick way, but we can also be carried out by the server in high in the clouds video image analysis and
Object detection, can so improve the precision of analysis and detection.
There is a kind of intellectual analysis video camera of the present invention video analysis to build and optimization system, have it strajectory,
and further details regarding the motion event, all in a privacy sensitive
Way, without recording and transferring video data. gravity sensors (GS) and visual angle positioning are repaiied
Positive processor (OCP), analysis engine (AE）Select the analyze data collection of optimization（AD）Carry out the image of Correct Analysis distortion, and
Destination object can be accurately detected, engine is produced with analyze data Ji Ku（ADGE）And head Zoom control module (PTZ）
To generate optimization image analysing computer message data set storehouse（ADL）, to reach purpose that video camera intellectual analysis is accurately detected.
Brief description of the drawings
This creation is further illustrated with reference to the accompanying drawings and examples.
Fig. 1：The basic framework figure of intellectual analysis video camera.
Fig. 2：Traditional DV Organization Chart.
Fig. 3 A：Horizontal linear complete image figure.
Fig. 3 B：Top left side is taken a crane shot downwards figure.
Fig. 3 C：Bat figure is faced upward on the side in lower-left.
Fig. 4：The schematic diagram of analyze data collection.
Fig. 5：Schematic diagram is analyzed in embodiment cloud computing.
Fig. 6：Analyze data Ji Ku produces engine schematic diagram.
Fig. 7：The ability video camera schematic diagram of self-teaching.
Fig. 8：Head Zoom structure schematic diagram.
Fig. 9：Being automatically positioned for video camera is adjusted and optimization schematic diagram.
Schema explanation
The image-signal processor of the gravity sensor of 01 video camera 02 (GS) 03（ISP）
11 imaging sensors（IS）12 visual angle location datas（OD）13 visual angles positioning correction processor (OCP)
21 analysis engines（AE）22 analyze data collection（AD）23 image analysing computer message data set storehouses（ADL）
The analyze data Ji Ku of the image-signal processor of 31 server 32 (ISP) 33 produces engine（ADGE）
The video compression processor of 41 cloud computing, 42 time stamp data 43（VCP）
The exercise data extraction processor of 51 lens type data, 52 motion detector 53（MDEP）
61 head Zoom control module (PTZ）, 62 output input stores (I/O)
Embodiment
Video camera absorbs object, and its degree of accuracy being imaged has very deep relation with following three big factors：Camera angles
Positioning, the depth of field of object and the characteristic of camera lens.After the relation factor that understanding and specific image are imaged, we can
To carry out video or the graphical analysis of high accuracy to object.Judge the depth of field of object, there are many different methods, but
This is not the scope that the present invention is inquired into.We will concentrate on other two factors：Camera angles are positioned and camera lens
Characteristic.
With reference to Fig. 1：The basic framework figure of intellectual analysis video camera.We have invented a kind of new method, to overcome because taking the photograph
The image fault that the not good visual angle positioning of camera is caused, so that the problem of leading to not accurately be analyzed.Fig. 1 block diagram
In, it is shown that a kind of scheme of implementation of we this invention, we added in traditional cameras gravity sensor (GS) and
Visual angle positioning correction processor (OCP).Fig. 1 shows the basic framework for the intellectual analysis video camera that we are invented, its work
Make principle as follows.
Image-signal processor（ISP）The video data captured to IS is further processed, to improve video image
Quality.Video data treated ISP can pass through OCP modules.The OCP converges regarding for the video camera that gravity sensor is sensed
Angle location data, the time stamp data of filming image, and lens type data used in camera, OCP produce location data
(OD).Such a OD is by sync mark frame by frame on the video image recorded.Then, through the OD videos marked or view data
VCP is sent to, storage or input/output are entered therewith（Hereinafter referred to as I/O）Module, which is used to further analyze, to be needed.
Gravity sensor can sense the spatial position data of this video camera in itself, the data show camera lens with
The relative perspective location information of target object.Such data cause OCP modules to be able to know that institute between video camera and object
The relative tertiary location of formation and visual angle.We can use this video camera, and some images are shot in advance with various visual angles, set up
Good image objects distortion ratio value-analyze data collection（AD）, these AD put together, and are formed image analysing computer message data set
Storehouse（ADL）.On the other hand, analysis engine (AE) is then according to received video or image with OD, from what is established in advance
In ADL, an analyze data collection (AD) that is close or according with the OD, to be compared and analyze, such as Fig. 4 are selected：Analyze number
According to shown in the schematic diagram of collection, so we can be obtained by an accurate analysis result.If it is desired, the video camera can be with
It is directly connected on AE servers.Due to the mathematical operation that analysis need of work is complicated, AE may reside within powerful service
On device.This server may have data center and is attached by network or cloud connection with every video camera.Such as Fig. 5：It is real
Apply a cloud computing analysis schematic diagram.Show an example of the connection based on cloud computing Analysis Service.
During analysis, analyze data collection (AD) is very important for accurately analysis and object detection.One
Financial resources and human resources that typically video and graphical analysis company can be costly, are that its parser and analysis engine are obtained
Useful data set storehouse.Expand and the such Ji Ku of generation, typically one takes, dull and lasting work.This Ji Ku should
Cover the image change that can be photographed from video camera, should also include such as climate change, the environmental factor such as the change of light.
But many different video cameras are flooded with the market, and target object may also can be put into many forms and shape, and shooting may be sent out
Life is in different time and season.So so preferable complete analysis Ji Ku is set up, to cover all video cameras appeared on the market and answer
It is an extremely difficult job in fact with program.
Our invention may also be used for simplifying the expanding and producing this useful analyze data Ji Ku (ADL) of the task.
We can add an analyze data Ji Ku and produce engine in server room（Hereinafter referred to as ADGE）, Fig. 6：Analyze number
Engine schematic diagram is produced according to Ji Ku.Show it is this be based on cloud concept, to produce analyze data Ji Ku (ADL) example.Intelligence
Analysis video camera 1 is until intellectual analysis video camera n is installed in the remote location of different directions.These video cameras are connected by cloud
The analysis engine (AE) in server room is connected to, all images and video data photographed are sent to high in the clouds
AE is analyzed.AE by detect from each camera record detection object data specific OD.If associated with detection object
OD is not belonging to an ADL part, and notification analysis data set storehouse is produced engine by analysis engine (AE)（ADGE）It is such to generate
The AD associated with the specific OD, and it is standby in ADL to store this new AD.Because many is set and various with different positioning
The video camera of object images is connected to this AE, and a large amount of AD collect the ADL to be formed and are more prone to than previous manual generation.Connection
Video camera to the cloud is more, sets up a whole set of preferable ADL faster.
Intellectual analysis video camera for being directly connected to analysis engine (AE), we can be designed with self-teaching
Ability, formation can expand itself ADL intellectual analysis video camera.Such as Fig. 7：The ability video camera schematic diagram of self-teaching.Exhibition
Such embodiment is shown.After video camera is installed, installation procedure may be displayed on the pre- of camera lens fixed range
Select object.This training can be carried out in several predetermined different distances and direction, can also be in the difference of one day
The not same date in time and/or January is carried out.
Then the image that video camera can detect these（New data set）It is preassembled preferably with same video camera
Analyze data collection produced by positioning is compared.Any different new images and OD associated with it are by analyzed data set storehouse
Produce engine（ADGE）Produce a new analyze data collection (AD) and be stored in ADL.After the first learning period, AE is each
ADGE can all be notified after being not belonging to ADL new OD images by receiving.Therefore, the self learning procedure that video camera is carried can help it to set up
The ADL of optimization is played, so as to expand this analyze data Ji Ku (ADL), possesses accurately analysis and detection function to reach.
Increase head Zoom control module (PTZ in video camera）It is another embodiment.Such as Fig. 8：Head becomes close-burning
Structure schematic diagram.Illustrate such embodiment.After video camera is installed, gravity sensor informs the positioning of its destination object.OCP
The preliminary OD of generation, is then compared with OD scopes preferred in its ADL.If preliminary OD within the range when, shooting
Machine will keep constant.Otherwise, video camera OCP meeting adjust automaticallies its camera lens positioning when by PTZ control modules, to enter this
It is preferred that OD scopes to better meeting monitoring requirements.
Such as Fig. 9：Being automatically positioned for video camera is adjusted and optimization schematic diagram.This process can also work in reverse order
Make.When video camera passes through head Zoom control module (PTZ）When turning to a new positioning, PTZ controller modules will notify to divide
Analyse data set storehouse and produce engine（ADGE）Its new OD.ADGE can optimize AD accordingly from ADL selections and be sent to analysis engine
(AE) handle.This is particularly useful using video camera to layman.The option for being automatically positioned adjustment and optimization AD of video camera
It will be helpful to simplify installment work.
From the above mentioned, the new invention structure design not seen before of this creation one, creative, practicality and novelty,
Meet the requirement of application for a patent for invention, therefore propose patent application.This creation is described in detail one by one above, but above institute
State, Gongwei's the preferred embodiments of the invention, should can not limit the scope of this creation implementation.That is Fan Yiben creation applications
Equal change and modification that scope is made etc., all should still belong in the patent covering scope of this creation.
Claims (8)
1. there is a kind of intellectual analysis video camera video analysis to build and optimization system, even if a kind of image from a distortion
Or the method that video data can also obtain an accurate analysis result, include the imaging sensor of web camera（IS）, figure
As signal processor（ISP）, gravity sensor (GS), visual angle positioning correction processor (OCP), video compression processor（VCP）、
Export input store（I/O）, image analysing computer message data set storehouse（ADL）, analysis engine（AE）, analyze data Ji Ku produce draw
Hold up（ADGE）And head Zoom control module (PTZ）, the sensitive chip (IS) of video camera obtained at video data, picture signal
Manage device（ISP）Improve picture quality, it is characterised in that:Gravity sensor (GS) and visual angle positioning amendment are added on video camera
Processor (OCP) so that video camera can navigate to the direction of target object, camera is built-in with a visual angle positioning amendment
Processor（OCP）, this visual angle positions correction processor (OCP) and regarded by the data generation one of lens and gravity sensor (GS)
Angle location data (OD), this visual angle location data (OD) can be marked on the image of record, and it can help analysis engine（AE）
Select the analyze data collection of optimization（AD）Carry out the image of Correct Analysis distortion, and destination object can be accurately detected, more may be used
To produce engine with analyze data Ji Ku（ADGE）And head Zoom control module (PTZ）, to generate optimization image analysing computer information
Data set storehouse（ADL）, allow intellectual analysis video camera to reach the detection of the intellectual analysis and object of high accuracy.
2. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera has image analysing computer
Message data set storehouse（ADL）, this video camera shoots some images with various visual angles, establishes image objects distortion ratio in advance
Value-analyze data collection (AD）, these analyze data collection (AD) put together, and are formed image analysing computer message data set storehouse
（ADL）, analysis engine (AE) then according to the received video or image with visual angle location data (OD), establishes from advance
Image analysing computer message data set storehouse（ADL）In, selection one is close or accords with the visual angle location data（OD）Analysis number
According to collection (AD), to be compared and analyze, to obtain an accurate analysis result.
3. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera can also directly connect
It is connected on the server with analysis engine (AE), server may have data center and be taken the photograph by network or cloud connection with every
Camera is attached, the analysis engine (AE) on server then according to the received video with visual angle location data (OD) or
Image, from image analysing computer message data set storehouse（ADL）In, select a point that is close or according with the visual angle location data (OD)
Data set (AD) is analysed, to be compared and analyze.
4. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera is connected to by cloud
There is analysis engine (AE) in Cloud Server computer room, Cloud Server analyze data Ji Ku to produce engine（ADGE）, it is all to clap
The image and video visual angle location data (OD) taken the photograph, are sent to the analysis engine (AE) in high in the clouds to analyze, analysis engine
(AE) the specific visual angle location data (OD) from the detection object data of each camera record will be detected, if with detecting object
The visual angle location data (OD) of association is not belonging to the part in image analysing computer message data set storehouse (ADL), and analysis engine (AE) will
Notification analysis data set storehouse produces engine（ADGE）To generate such analyze data collection (AD) associated with the specific OD, and
Store this new AD standby in ADL, set up a whole set of preferable image analysing computer message data set storehouse (ADL).
5. intellectual analysis video camera according to claim 1, it is characterised in that:Described intellectual analysis video camera is direct
Analysis engine (AE) is connected to, the ability with self-teaching program, formation can expand itself image analysing computer message data set
The intellectual analysis video camera in storehouse (ADL), the image that video camera can detect these（New data set）It is advance with same video camera
Analyze data collection (AD) produced by the preferable positioning installed is compared, and any different new images and associated with it regards
Analyzed data set storehouse is produced engine (ADGE) one new analyze data collection (AD) of generation and stored by angle location data (OD)
In image analysing computer message data set storehouse (ADL), the self learning procedure that video camera is carried can help the image analysing computer that it sets up optimization
Message data set storehouse (ADL), so as to expand this ADL, possesses accurately analysis and detection function to reach.
6. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera has head zoom
Control module (PTZ）, after video camera is installed, gravity sensor (GS) informs the positioning of its destination object, visual angle positioning Corrections Division
Manage device (OCP) and generate preliminary visual angle location data (OD), it is then inner preferred with its image analysing computer message data set storehouse (ADL)
Visual angle location data (OD) scope is compared, if preliminary OD within the range when, video camera will keep constant;Otherwise,
Video camera is when by head Zoom control module (PTZ), and its camera lens of visual angle positioning correction processor (OCP) meeting adjust automatically is determined
Position, to enter the preferred OD scopes to better meeting monitoring requirements.
7. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera has head zoom
Control module (PTZ）, video camera passes through head Zoom control module (PTZ）When turning to a new positioning, PTZ controller moulds
Notification analysis data set storehouse is produced engine by block（ADGE）Its new visual angle location data（OD）, analyze data Ji Ku generation engines
（ADGE）Can be from image analysing computer message data set storehouse（ADL）The corresponding optimization analyze data collection of selection（AD）And be sent to analysis and draw
Hold up（AE）Processing;This is particularly useful using video camera to layman, and number is analyzed in being automatically positioned adjustment and optimizing for video camera
According to collection（AD）Option will be helpful to simplify video camera installment work.
8. intellectual analysis video camera according to claim 1, it is characterised in that:Described video camera has image analysing computer
Message data set storehouse（ADL）, ADL can also be present in intellectual analysis video camera, and such intellectual analysis video camera can be obtained directly
Win the confidence breath, carry out video image analysis and object detection without the server by high in the clouds, this is a kind of quick way, but I
Video image analysis and object detection can also be carried out by the server in high in the clouds, can so improve analysis and detection
Precision.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610017204.5A CN107155018A (en) | 2016-03-04 | 2016-03-04 | Intellectual analysis video camera |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610017204.5A CN107155018A (en) | 2016-03-04 | 2016-03-04 | Intellectual analysis video camera |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107155018A true CN107155018A (en) | 2017-09-12 |
Family
ID=59791264
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610017204.5A Pending CN107155018A (en) | 2016-03-04 | 2016-03-04 | Intellectual analysis video camera |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107155018A (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0641281U (en) * | 1992-10-30 | 1994-05-31 | 日本ビクター株式会社 | Video camera equipment |
| JP2009260475A (en) * | 2008-04-14 | 2009-11-05 | Mitsubishi Electric Corp | Information processor, information processing method, and program |
| JP2009267894A (en) * | 2008-04-28 | 2009-11-12 | Casio Comput Co Ltd | Camera shake detecting apparatus, imaging apparatus, and program |
| CN202231780U (en) * | 2011-09-13 | 2012-05-23 | 杭州智诺英特科技有限公司 | Cyber camera of intelligent analysis |
| CN102625074A (en) * | 2012-03-19 | 2012-08-01 | 北京汉邦高科数字技术股份有限公司 | Method for transmitting intelligent analyzed data by aid of HD-SDI (high-definition serial digital interface) camera |
| US20120314021A1 (en) * | 2011-06-08 | 2012-12-13 | City University Of Hong Kong | Generating an aerial display of three-dimensional images from a single two-dimensional image or a sequence of two-dimensional images |
| CN103222258A (en) * | 2010-12-01 | 2013-07-24 | Nec卡西欧移动通信株式会社 | Mobile terminal, image processing method and program |
| WO2013165048A1 (en) * | 2012-04-30 | 2013-11-07 | 전자부품연구원 | Image search system and image analysis server |
| CN104159036A (en) * | 2014-08-26 | 2014-11-19 | 惠州Tcl移动通信有限公司 | Display method and shooting equipment of image direction information |
-
2016
- 2016-03-04 CN CN201610017204.5A patent/CN107155018A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0641281U (en) * | 1992-10-30 | 1994-05-31 | 日本ビクター株式会社 | Video camera equipment |
| JP2009260475A (en) * | 2008-04-14 | 2009-11-05 | Mitsubishi Electric Corp | Information processor, information processing method, and program |
| JP2009267894A (en) * | 2008-04-28 | 2009-11-12 | Casio Comput Co Ltd | Camera shake detecting apparatus, imaging apparatus, and program |
| CN103222258A (en) * | 2010-12-01 | 2013-07-24 | Nec卡西欧移动通信株式会社 | Mobile terminal, image processing method and program |
| US20120314021A1 (en) * | 2011-06-08 | 2012-12-13 | City University Of Hong Kong | Generating an aerial display of three-dimensional images from a single two-dimensional image or a sequence of two-dimensional images |
| CN202231780U (en) * | 2011-09-13 | 2012-05-23 | 杭州智诺英特科技有限公司 | Cyber camera of intelligent analysis |
| CN102625074A (en) * | 2012-03-19 | 2012-08-01 | 北京汉邦高科数字技术股份有限公司 | Method for transmitting intelligent analyzed data by aid of HD-SDI (high-definition serial digital interface) camera |
| WO2013165048A1 (en) * | 2012-04-30 | 2013-11-07 | 전자부품연구원 | Image search system and image analysis server |
| CN104159036A (en) * | 2014-08-26 | 2014-11-19 | 惠州Tcl移动通信有限公司 | Display method and shooting equipment of image direction information |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109887040B (en) | Moving target active sensing method and system for video monitoring | |
| CN102148965B (en) | Video monitoring system for multi-target tracking close-up shooting | |
| KR101172747B1 (en) | Camera tracking monitoring system and method using thermal image coordinates | |
| CN107659774A (en) | A kind of video imaging system and method for processing video frequency based on multiple dimensioned camera array | |
| CN107357286A (en) | Vision positioning guider and its method | |
| CN110910460B (en) | Method and device for acquiring position information and calibration equipment | |
| CN109376601B (en) | Object tracking method based on high-speed ball, monitoring server and video monitoring system | |
| CN105718862A (en) | Method, device and recording-broadcasting system for automatically tracking teacher via single camera | |
| CN106767720A (en) | Single-lens oblique photograph measuring method, device and system based on unmanned plane | |
| KR101347450B1 (en) | Image sensing method using dual camera and apparatus thereof | |
| US9418299B2 (en) | Surveillance process and apparatus | |
| CN109919007B (en) | Method for generating infrared image annotation information | |
| CN105741379A (en) | Method for panoramic inspection on substation | |
| CN107509055A (en) | A kind of rotary panorama focus identification optronic tracker and its implementation | |
| CN111242025A (en) | Action real-time monitoring method based on YOLO | |
| KR20170086392A (en) | System and method for picture taking using IR camera and maker and application therefor | |
| CN105208349A (en) | Method for controlling automatic following shot of cameras according to number of people on game site | |
| CN105245845A (en) | Method for controlling camera to follow and shoot automatically based on gathering trend in match field | |
| CN109064499A (en) | A kind of multistory frame seismic testing high-speed video measurement method based on distribution parsing | |
| CN108871582A (en) | Infrared thermal imagery Panorama Mosaic processing system and its method | |
| CN111325790B (en) | Target tracking method, device and system | |
| CN112001224A (en) | Video acquisition method and video acquisition system based on convolutional neural network | |
| CN109460077B (en) | Automatic tracking method, automatic tracking equipment and automatic tracking system | |
| CN107155018A (en) | Intellectual analysis video camera | |
| CN207200874U (en) | A kind of rotary panorama focus identification optronic tracker |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170912 |
|
| WD01 | Invention patent application deemed withdrawn after publication |