CN106993163A - A kind of video monitoring system based on motion image detection - Google Patents
A kind of video monitoring system based on motion image detection Download PDFInfo
- Publication number
- CN106993163A CN106993163A CN201710251332.0A CN201710251332A CN106993163A CN 106993163 A CN106993163 A CN 106993163A CN 201710251332 A CN201710251332 A CN 201710251332A CN 106993163 A CN106993163 A CN 106993163A
- Authority
- CN
- China
- Prior art keywords
- image
- module
- monitoring system
- dynamic
- video monitoring
- 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.)
- Granted
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a kind of video monitoring system based on motion image detection, including frequency image monitoring system and Motion Image Detection system, Motion Image Detection system includes the second image capture module, dynamic image pro cess module and wireless transport module, and the second image capture module is identical with the monitor area of frequency image monitoring system front end and clock is synchronous;Dynamic image pro cess module receives present image and carries out dynamic image analysis with previous frame reference picture, and dynamic image and its timestamp hair are sent into background storage server and/or remote monitoring terminal through internet by wireless transport module;Background storage server is marked to the video monitoring information stored using the dynamic image and its timestamp and preferentially covers unlabelled video monitoring information when circulating storage.Compared with prior art, because Motion Image Detection system wirelessly accesses original frequency image monitoring system, therefore the hardware structure of original frequency image monitoring system need not be changed.
Description
Technical field
The invention belongs to field of video monitoring, more particularly to a kind of video monitoring system based on motion image detection.
Background technology
The widely used frequency image monitoring system of existing market mostly using still image monitor, though monitor area either with or without
Moving object, all collects and is stored, and this causes the substantial amounts of memory space of system needs, increases the cost of system.In order to
Carrying cost is reduced, prior art generally by the way of circulation storage, i.e., covers older content, still with newest video
After video is capped earlier, wherein the information contained will lose, when general monitoring system has minimum effective storage
Between requirement.With the maturation of high-definition camera technology, high-definition camera uses more and more extensive, taking the photograph in conventional monitoring systems
It is increasing according to the memory space needed for existing memory technology as head upgrades to high-definition camera one after another, cause original prison
Control system is after upgrading camera, and effective storage time can not meet the storage demand of user, cause whole system to need whole
Upgrading, so as to cause the waste of resource and the increase of cost.And in practice, in some application scenarios, such as school, factory,
The places such as office building, evening, often few people occurred, but video camera is but working with usually, so records
Video be possible to, completely without any effect, also take up memory space.
Meanwhile, the monitoring of the still image that uses in the prior art can not the accident of early warning in time, artificial reality can only be passed through
When checking monitoring video or checking monitoring video afterwards, once monitoring personnel is neglected, it is impossible to monitor accident in time, have
It is likely to result in the loss that can not be retrieved.
Therefore, for drawbacks described above present in currently available technology, it is necessary to be studied in fact, to provide a kind of scheme,
Do not changing the situation of existing monitoring system framework, with a kind of inexpensive evolutionary approach, solving to lack present in prior art
Fall into.
The content of the invention
In view of this, it is necessory to provide a kind of video monitoring system based on motion image detection, do not changing existing
The situation of monitoring system framework, lifts the effective storage time and dynamic monitoring and early warning ability of monitor video.
In order to overcome the defect of prior art, technical scheme is as follows:
A kind of video monitoring system based on motion image detection, including frequency image monitoring system and motion image detection system
System, both independent operatings and clock are synchronous;Described image monitoring system include the first image capture module, Video Transmission Unit and
Background storage server;The Motion Image Detection system includes the second image capture module, dynamic image pro cess module and nothing
Line transport module, second image capture module and described first image acquisition module be corresponding and monitor area is identical and when
Clock is synchronous;The dynamic image pro cess module receives a two field picture of second image capture module and with previous frame with reference to figure
As carrying out dynamic image analysis, the two field picture is stored and by the nothing if the two field picture is determined as dynamic image
Line transport module is by dynamic image and its timestamp hair is sent to the background storage server through internet and/or remote monitoring is whole
End;The background storage server is using the dynamic image and its timestamp to being stored through described first image acquisition module
Corresponding time point in the video monitoring information of collection is marked, and preferentially covers when circulating storage unlabelled video prison
Control information;
The dynamic image pro cess module further comprises image receiving unit, image configuration unit, Integer DCT Transform list
Member, quantifying unit, image pixel comparing unit and memory cell, wherein, described image receiving unit is used to receive described image
One two field picture of acquisition module collection is used as present image;Described image structural unit is used to present image carrying out M*M constructions
It is divided into M2Individual fritter, wherein M are the natural number more than 1;The Integer DCT Transform unit is used for whole to the progress of each small images
Number Integer DCT Transform;The quantifying unit is used to be measured each small images in the present image through Integer DCT Transform
Change and obtain image pixel point integer value;Described image pixel comparing unit is used to present image and reference picture picture carrying out image
The integer value of pixel relatively and counts the ratio shared by different pixels and present image information is stored as with reference to figure
As information, present image is judged as dynamic image if shared ratio exceedes the threshold value set, otherwise, it is determined that present image
For still image;The memory cell is used to store dynamic image.
Preferably, the wireless transport module is 4G modules, 5G modules or WIFI module, wirelessly access interconnection
Net.
Preferably, described first image acquisition module and second image capture module are high-definition camera.
Preferably, the speed of described first image acquisition module collection image is more than 24 frames/second.
Preferably, second image capture module uses sieve skill C270 high-definition image acquisition modules, is gathered image
Rate adaptation be less than or equal to 2 frames/second.
Preferably, the dynamic image pro cess module uses the RT5350 modules that Lian Fake companies are researched and developed with MIPS chips.
Preferably, framework Lighttpd servers in the RT5350 modules.
Preferably, in addition to dynamic domain name server.
Compared with prior art, because Motion Image Detection system wirelessly accesses original frequency image monitoring system,
Therefore the hardware structure of original frequency image monitoring system need not be changed;It is sent in time by motion image detection and by dynamic image
Background storage server or remote monitoring terminal are so as to realize monitoring active forewarning;Dynamic image and its timestamp pair are utilized simultaneously
It is stored in video monitoring information in background storage server to be marked, unlabelled video prison is preferentially covered when circulating storage
Information is controlled, namely allows the video monitoring information labeled as dynamic image to store the longer time, so as to improve useful prison
Control effective storage time of information.Further, because background storage server stores dynamic image and its timestamp, significantly
Facilitate user search video monitoring information.
Brief description of the drawings
Fig. 1 is the theory diagram of the video monitoring system of the invention based on motion image detection.
Fig. 2 is the theory diagram of dynamic image pro cess module in the present invention.
Fig. 3 is image configuration 8x8 block schematic diagrames in dynamic image pro cess module.
Fig. 4 is data comparison schematic diagram before and after 4x4 Integer DCT Transforms in dynamic image pro cess module.
Fig. 5 is signal of the image block through the graceful supplement conversion of 4x4 Integer DCT Transforms and hada in dynamic image pro cess module
Figure.
Fig. 6 is image block processing procedure schematic diagram in dynamic image pro cess module.
Fig. 7 is a kind of theory diagram of embodiment of Motion Image Detection system in the present invention.
Specific examples below will further illustrate the present invention with reference to above-mentioned accompanying drawing.
Embodiment
The video monitoring system based on motion image detection that the present invention is provided is made furtherly below with reference to accompanying drawing
It is bright.
Prior art use still image monitoring system can not the accident of early warning in time, this cause some occasions without
Method meets the demand of user.Meanwhile, it is very big in the cost accounting of back-end storage device in existing monitoring system, especially as preceding
End camera upgrades to high-definition camera, and the demand to memory capacity is further lifted, and causes back-end storage device not meet
Application demand, a whole set of monitoring system is generally required in some monitoring system upgrading projects and is all upgraded, which results in money
The waste in source.Therefore, how not change the situation of existing monitoring system framework, solved with a kind of inexpensive evolutionary approach existing
With the presence of the above-mentioned technological deficiency of technology.
With the continuous maturation of the technologies such as continuing to develop for wireless technology, especially WiFi, 4G, 5G, transmission speed is not
Disconnected to improve, mobile 4G/5G realizes covering comprehensively substantially, and WiFi coverage rate is also increasingly wider, present WiFi transmission association
View has used 802.11n maximum speeds to be 150Mbps.Therefore, the present invention is on the basis of existing video monitoring system, using wireless
Mode by the original still image monitoring system of motion image detection device seamless access, systematic function is obtained further
Lifting, so as to overcome the defect of prior art.
Referring to Fig. 1, the theory diagram of the video monitoring system of the invention based on motion image detection, including image are shown
Monitoring system and the Motion Image Detection system of setting synchronous with the frequency image monitoring system, frequency image monitoring system are that prior art is wide
The general still image monitoring system used, including the first image capture module, Video Transmission Unit and background storage server.It is existing
Have in technology, still image monitoring system operation principle is as follows:First image capture module is with the IMAQ more than 24 frames/second
Speed obtains image, and Video Transmission Unit carries out Image Coding and video is streamed into background storage server, when backstage is deposited
Store up server storage it is not enough when, circulation cover time video monitoring information earlier.
Motion Image Detection system includes the second image capture module, dynamic image pro cess module and wireless transport module,
In a preferred embodiment, the first image capture module and the second image capture module use high-definition camera;Wirelessly
Transport module is 4G modules, 5G modules or WIFI module, wirelessly accesses internet.Second image capture module and
One image capture module is corresponding and monitor area is identical and clock is synchronous;Dynamic image pro cess module receives the second IMAQ
One two field picture of module simultaneously carries out dynamic image analysis with previous frame reference picture, if the two field picture is determined as dynamic image
The two field picture is stored and dynamic image and its timestamp hair are sent to backstage through internet and deposited by wireless transport module
Store up server and/or remote monitoring terminal;Background storage server is using the dynamic image and its timestamp to regarding for being stored
Frequency monitoring information is marked and preferentially covers unlabelled video monitoring information when circulating storage.That is, using the second figure
As the dynamic image data of acquisition module acquisition carrys out the monitoring video information of the image capture module of mark first, monitor video is believed
The corresponding moment point of dynamic image in breath is marked, so circulation storage when can as video information cover control according to
According to enabling that those useless static video informations can be covered preferentially and then useful dynamic video monitoring information stores longer
Time.
Using above-mentioned technical proposal, because Motion Image Detection system wirelessly accesses original frequency image monitoring system,
Therefore the hardware structure of original frequency image monitoring system need not be changed;It is sent in time by motion image detection and by dynamic image
Background storage server or remote monitoring terminal are so as to realize monitoring active forewarning;Dynamic image and its timestamp pair are utilized simultaneously
It is stored in video monitoring information in background storage server to be marked, unlabelled video prison is preferentially covered when circulating storage
Information is controlled, namely allows the video monitoring information labeled as dynamic image to store the longer time, so as to improve useful prison
Control effective storage time of information.Further, because background storage server stores dynamic image and its timestamp, significantly
Facilitate user search video monitoring information.
Therefore, when being transformed using the present invention conventional images monitoring system, it is only necessary to set in the collection of original front-end image
A standby corresponding position independently installed Motion Image Detection system again, and the Motion Image Detection system is one and wirelessly connect
Enter equipment, without making any change to original hardware structure, while the Motion Image Detection system is relatively independent system again,
Remote monitoring terminal can be directly accessed Motion Image Detection system, so as to realize that dynamic image is monitored;Original backstage storage
Server only needs access internet to receive data, and rower is entered to corresponding monitoring video information according to dynamic image and its timestamp
Note, foundation is covered when circulating storage as file, being capable of significant increase effective storage time of useful monitoring information.
Referring to Fig. 2, the theory diagram of dynamic image pro cess module in the present invention is shown, further comprises image-receptive list
Member, image configuration unit, Integer DCT Transform unit, quantifying unit, image pixel comparing unit and memory cell, wherein, image
Receiving unit is used for the two field picture for receiving image capture module collection as present image;Image configuration unit is used for will be current
Image carries out M*M constructions and is divided into M2Individual fritter, wherein M are the natural number more than 1;Integer DCT Transform unit is used for each small
Block image carries out integer Integer DCT Transform;Quantifying unit is used for each fritter figure in the present image through Integer DCT Transform
As being quantified and obtaining image pixel point integer value;Image pixel comparing unit is used to carry out present image and reference picture picture
The integer value of image slices vegetarian refreshments relatively and count the ratio shared by different pixels and by present image information be stored as ginseng
Image information is examined, present image is judged as dynamic image if shared ratio exceedes the threshold value set, otherwise, it is determined that currently
Image is still image;Memory cell is used to store dynamic image.
In a preferred embodiment, image configuration unit carries out 8x8 constructions to present image i.e. by present image point
Into 64 pieces;
Integer DCT Transform unit carries out 4x4 Integer DCT Transforms to every block of image for having carried out the present image of 8x8 constructions;
Quantifying unit is quantified 64 blocks of images in the present image for having carried out 4x4 Integer DCT Transforms respectively;
Image pixel comparing unit carries out present image and the reference picture picture that can be contrasted the integer of image slices vegetarian refreshments
Value contrast, and the ratio shared by different pixels is counted, if shared ratio exceedes the threshold value of setting (according to appropriate
Occasion is set) present image is then judged as dynamic image, replaced reference picture picture and store reference picture as next frame
Picture, if shared ratio judges present image as still image less than the threshold value of setting, is replaced the storage of reference picture picture
Under be used as the reference picture picture of next frame;
Wherein described construction 8x8 block such as Fig. 3, if because the yardstick of two dimensional image is all directly carried out than larger to image
Dct transform is from formula (1) and formula (2) it can be seen that huge amount of calculation will be unable to meet the requirement of image real-time coding, therefore, first
Block group is divided an image into, the complexity that 8x8 blocks reduce algorithm is used herein as.Formula (1):Conversion and formula (2):Contravariant is changed to two dimension
DCT rudimentary algorithms are as follows:
Wherein, u, v, x, y=0,1,2 ..., N-1;X, y represent the space coordinate of pixel;U, v representation transformation domain coordinate.
Wherein described dct transform (discrete cosine transform) is for image is changed on transform domain from transform of spatial domain, i.e., discrete
Cosine transform, it can eliminate the spatial redundancy of image.Dct transform can be realized that DCT inverse transformation is real by formula (4) by formula (3)
It is existing, it is assumed that certain block image represents the radio-frequency component of transform domain for the f (u, v) in f (x, y) then formula (3) and formula (4), also referred to as hands over
Coefficient is flowed, F (0,0) represents the low-frequency component in transform domain, also referred to as DC coefficient.But dct transform is not present after encoding and decoding not
With problem.In order to solve this problem, the present invention uses 4x4 Integer DCT Transforms.The conversion process of image:Can must be right by formula (3)
In the 4x4DCT transformation matrixs A answered such as formulas (5), formula (5) By A
C/b=0.5 can be made,WithRepresent CXCTAs a result the coefficient in each element dot product matrix E on correspondence position
The computing of value, so as to derive in the formula (6) that can obtain, formula (6), C is nuclear matrix,
E is rescaling matrix, CXCTFor kernel mapping, such as Fig. 4, understood by the data comparison of 4x4 Integer DCT Transforms
The energy of data substantially focuses on upper left side (low frequency signal), and the data after converting can be reduced by inverse transformation completely
Into original data.In order to reach the purpose of compressed file, the low data of some energy (high-frequency signal) can be discarded, are such as schemed
The image block schematic diagram of compressed transform of the image block after 4x4 Integer DCT Transforms shown in 5.Due to 4x4 Integer DCT Transforms
Decorrelation is not high, and Integer DCT Transform is only carried out to brightness, in a preferred embodiment, and 2x2 hada is carried out to colourity
Graceful conversion is as shown in formula (7) and Fig. 5.
It is wherein described be quantified as the gray scale (concentration) of the pixel by 4x4 Integer DCT Transforms to be transformed into it is discrete whole
The operation of numerical value, for example, simplest quantization is to be expressed as bianry image using black (0) white (255) two numerical value (i.e. 2 grades),
It is more careful to quantify, and number of greyscale levels (deep or light level) shows the abundanter present invention and supports up to 52 using classification scalar quantizer
Quantization step is represented with floor, is indexed with quantization parameter QP, in integer arithmetic, and quantizing process can use the fortune of formula (8)
Calculate to realize, inverse quantization mode such as formula (9).Z in formula (8)ijValue after expression is quantified, WijFor through 4x4 Integer DCT Transforms
Element afterwards, QP is quantization parameter,>>Binary shift right is represented, k is represented and moved to right digit;F is used for round, removes value model
For [0,0.5] × 2k, MFijFor multiplier factor, its value depends on the position (i, j) of QP and conversion coefficient, looks into multiplication factor table and obtain
Arrive.Scale factor V in formula (9) can be according to ZijDifferent positions and quantization parameter QP difference, look into scale factor in a matrix
Table is obtained.
The algorithm of wherein described image slices vegetarian refreshments contrast, be present image by 4x4 Integer DCT Transforms and after quantifying and
Reference picture picture is contrasted, first, it is determined that the image block number changed, judges that the algorithm of image block change is shown in formula (10) and figure
6, i is the row of pixel in formula (10), and j is the row of pixel, and n, m are variable, and n represents line number, and m represents columns, xD(i, j) is
The data of the pixel of present image block image, xC(i, j) be reference picture as the data of certain block image slices vegetarian refreshments, Δ X is works as
The pixel number of preceding image and reference picture picture is according to result of the comparison, and the pixel is changed if Δ X is not zero, and such as schemes
6, then think when the numerical value dissimilar quantities of reference picture picture and the image block edge quantization point of present image have exceeded certain quantity
Changed in the block image-region, it is otherwise unchanged.Count the image block number changed, the image changed
K represents the image block number changed in such as formula of the ratio shared by pixel number (11) that block number is included, formula (11), and η represents to ask
The result obtained, threshold value of the ratio shared by pixel number less than setting that the image block number in the event of change is included, then judge
For still image, if greater than the threshold value of setting;Secondly, then to the picture block changed carry out pair of specific pixel
Than, the algorithm such as formula (12) and Fig. 6 of contrast, i is the row of pixel in formula (12), and j is the row of pixel, and n, m are variable, n generations
Table row number, m represents columns, yD(i, j) is the data of the pixel of present image block image, yC(i, j) is reference picture as certain block
The data of image slices vegetarian refreshments, Δ Y be the pixel number of present image and reference picture picture according to result of the comparison, if Δ Y is not zero
Then the pixel is changed, and is not otherwise changed, is counted the pixel number changed, is obtained what data changed
N is the pixel number that data change in ratio such as formula (13) shared by pixel, formula (13), and ω is obtained result, such as
The ratio shared by pixel that fruit data change then is determined as still image, if greater than setting less than the threshold value set
Threshold value be then determined as dynamic image.
I=1 ... n, j=1 ... m, Δ Y=yD(i,j)-yC(i, j) formula (12)
In a preferred embodiment, the second image capture module uses sieve skill C270 high-definition image acquisition modules, will
Its rate adaptation for gathering image is less than or equal to 2 frames/second.In the prior art, the image of headend equipment in monitoring system is adopted
Collection speed has strict requirements, generally requires more than 24 frames/second.Because monitor video has to smoothness as judicial evidence
Complete dynamic video process is recorded, while being typically not editable to the recording process file of monitor video, otherwise can be influenceed
Monitor video as the instrument of evidence fairness.And in the present invention, the second image capture module as just auxiliary monitoring camera
Image acquisition rates are not limited by head, if with the standard of video acquisition, will to arithmetic speed carrying out dynamic image analysis
Ask high, add hard-wired difficulty;Meanwhile, after the image acquisition rates of the second image capture module are turned down, greatly
Reduce hardware cost and realize difficulty, while the parameters such as image pixel, definition can also be heightened, so as to improve dynamic
The precision of image detection.
Referring to Fig. 7, a kind of theory diagram of embodiment of Motion Image Detection system in the present invention is shown, due to mutual
Networking is public wide area network, establishes long-range network, current broadband access Internet service via telecom operators
Huge numbers of families are come into.The present invention implements to realize that the frequency image monitoring system based on motion image detection can be with based on internet
Existing mature technology is effectively utilized, and sets up relatively low with maintenance cost ratio.Wherein, dynamic image pro cess module is using connection
The RT5350 modules that Fa Ke companies are researched and developed with MIPS chips.The integrated MIPS 24Kc 360MHz processors of the module, integrated five end
Mouth 100 m ethernet interchanger, supports 20/40MHz simulation frequency ranges, supports Wi-Fi+ bluetooths Combo designs, RT5350 modules are abided by
The 802.11n agreements of WLAN are followed, maximum speed is 150Mbps, and RT5350 modules support ap mode access, described above
Function cause RT5350 to greatly improve the ability of image procossing and the speed of image transmitting.It follows that dynamic image
The hardware configuration of detecting system is relatively simple, easy for installation, the implementation for contributing to supervision control engineering to transform.
In a preferred embodiment, the framework Lighttpd servers in RT5350 modules.Dynamic image pro cess mould
The dynamic image of storage is sent to far by block by Lighttpd servers with Http agreements by transmitting the communication loop of instruction
Range monitoring terminal or background storage server, meanwhile, remote monitoring terminal can at any time be checked by web browser and stored
Dynamic image, if belonged to together with dynamic image pro cess module in same LAN, remote monitoring terminal can be directly accessed
The Lighttpd servers of dynamic image pro cess module institute framework.
In a preferred embodiment, Motion Image Detection system also includes dynamic domain name server (DDNS), remotely
Monitor terminal accesses the data communication between dynamic image pro cess module, comprises the following steps:
Step 1, router virtual dial up on the telephone, and obtain dynamic IP addressing;
Step 2, DDNS client apply carrying new IP address, use in more new IP address, solicitation message to DDNS
Family is identified and authentication data;
Step 3, DDNS verify the authentication data of DDNS client, by rear, update user and identify corresponding domain name
The IP address of binding;
Step 4, remote monitoring terminal are to fix domain name access dynamic image pro cess module;
The corresponding newest IP address of domain name is returned to remote monitoring terminal by step 5, domain name resolution process, DDNS;
Step 6, remote terminal initiate access request according to IP address, the letter with authentication information and access in request
Breath;
Step 7, dynamic image pro cess module are authenticated authentication to remote terminal;
Step 8, remote monitoring terminal and dynamic image pro cess module are set up by Http agreements and connected, and interact.
The explanation of above example is only intended to the method and its core concept for helping to understand the present invention.It should be pointed out that pair
, under the premise without departing from the principles of the invention, can also be to present invention progress for those skilled in the art
Some improvement and modification, these are improved and modification is also fallen into the protection domain of the claims in the present invention.
The foregoing description of the disclosed embodiments, enables professional and technical personnel in the field to realize or using the present invention.
A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, it is of the invention
The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one
The most wide scope caused.
Claims (8)
1. a kind of video monitoring system based on motion image detection, it is characterised in that including frequency image monitoring system and Dynamic Graph
As detecting system, both independent operatings and clock synchronization;Described image monitoring system includes the first image capture module, video and passed
Defeated unit and background storage server;The Motion Image Detection system includes the second image capture module, dynamic image pro cess
Module and wireless transport module, second image capture module is corresponding with described first image acquisition module and monitor area
Identical and clock is synchronous;The dynamic image pro cess module receives a two field picture of second image capture module and with upper one
Frame reference picture carries out dynamic image analysis, and the two field picture is stored and led to if the two field picture is determined as dynamic image
Cross the wireless transport module and dynamic image and its timestamp hair are sent to the background storage server and/or remote through internet
Range monitoring terminal;The background storage server is using the dynamic image and its timestamp to being stored through described first image
Corresponding time point in the video monitoring information of acquisition module collection is marked, and preferentially covers unmarked when circulating storage
Video monitoring information;
The dynamic image pro cess module further comprise image receiving unit, image configuration unit, Integer DCT Transform unit,
Quantifying unit, image pixel comparing unit and memory cell, wherein, described image receiving unit is used to receive described image collection
One two field picture of module collection is used as present image;Described image structural unit is used to present image progress M*M constructions being divided into
M2Individual fritter, wherein M are the natural number more than 1;The Integer DCT Transform unit is used for whole to each small images progress integer
Number dct transform;The quantifying unit is used to be quantified each small images in the present image through Integer DCT Transform simultaneously
Obtain image pixel point integer value;Described image pixel comparing unit is used to present image and reference picture picture carrying out image pixel
Point integer value relatively and count the ratio shared by different pixels and by present image information be stored as reference picture letter
Breath, present image is judged as dynamic image if shared ratio exceedes the threshold value set, otherwise, it is determined that present image is quiet
State image;The memory cell is used to store dynamic image.
2. the video monitoring system according to claim 1 based on motion image detection, it is characterised in that the wireless biography
Defeated module is 4G modules, 5G modules or WIFI module, wirelessly accesses internet.
3. the video monitoring system according to claim 1 or 2 based on motion image detection, it is characterised in that described
One image capture module and second image capture module are high-definition camera.
4. the video monitoring system according to claim 3 based on motion image detection, it is characterised in that first figure
As the speed that acquisition module gathers image is more than 24 frames/second.
5. the video monitoring system according to claim 3 based on motion image detection, it is characterised in that second figure
As acquisition module uses sieve skill C270 high-definition image acquisition modules, gather the rate adaptation of image for less than or equal to 2 frames/
Second.
6. the video monitoring system according to claim 1 or 2 based on motion image detection, it is characterised in that described dynamic
State image processing module uses the RT5350 modules that Lian Fake companies are researched and developed with MIPS chips.
7. the video monitoring system according to claim 6 based on motion image detection, it is characterised in that the RT5350
Framework Lighttpd servers in module.
8. the video monitoring system according to claim 7 based on motion image detection, it is characterised in that also including dynamic
Name server.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710251332.0A CN106993163B (en) | 2017-04-18 | 2017-04-18 | A kind of video monitoring system based on motion image detection |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710251332.0A CN106993163B (en) | 2017-04-18 | 2017-04-18 | A kind of video monitoring system based on motion image detection |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106993163A true CN106993163A (en) | 2017-07-28 |
CN106993163B CN106993163B (en) | 2019-09-27 |
Family
ID=59416400
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710251332.0A Active CN106993163B (en) | 2017-04-18 | 2017-04-18 | A kind of video monitoring system based on motion image detection |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106993163B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110602464A (en) * | 2019-10-17 | 2019-12-20 | 异起(上海)智能科技有限公司 | Method and device for saving image storage space during monitoring |
CN112634111A (en) * | 2020-12-08 | 2021-04-09 | 新疆傲世博祥软件科技有限公司 | Health supervision intelligent integrated management platform |
CN114842610A (en) * | 2022-05-30 | 2022-08-02 | 深圳市旭景数字技术有限公司 | Intelligent monitoring system based on Internet of things |
CN115103156A (en) * | 2022-06-10 | 2022-09-23 | 慧之安信息技术股份有限公司 | Dynamic video stream transmission method |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201430659Y (en) * | 2009-03-20 | 2010-03-24 | 北京世纪东方国铁科技股份有限公司 | Train-ground wireless video monitoring system |
CN102307280A (en) * | 2011-09-14 | 2012-01-04 | 苏州百滨电子科技有限公司 | Method and apparatus of trigger detection for image acquisition applied for high speed digital camera device |
CN104581032A (en) * | 2013-10-26 | 2015-04-29 | 西安群丰电子信息科技有限公司 | Data transmission method for video monitoring and a video monitor terminal |
-
2017
- 2017-04-18 CN CN201710251332.0A patent/CN106993163B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201430659Y (en) * | 2009-03-20 | 2010-03-24 | 北京世纪东方国铁科技股份有限公司 | Train-ground wireless video monitoring system |
CN102307280A (en) * | 2011-09-14 | 2012-01-04 | 苏州百滨电子科技有限公司 | Method and apparatus of trigger detection for image acquisition applied for high speed digital camera device |
CN104581032A (en) * | 2013-10-26 | 2015-04-29 | 西安群丰电子信息科技有限公司 | Data transmission method for video monitoring and a video monitor terminal |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110602464A (en) * | 2019-10-17 | 2019-12-20 | 异起(上海)智能科技有限公司 | Method and device for saving image storage space during monitoring |
CN112634111A (en) * | 2020-12-08 | 2021-04-09 | 新疆傲世博祥软件科技有限公司 | Health supervision intelligent integrated management platform |
CN114842610A (en) * | 2022-05-30 | 2022-08-02 | 深圳市旭景数字技术有限公司 | Intelligent monitoring system based on Internet of things |
CN115103156A (en) * | 2022-06-10 | 2022-09-23 | 慧之安信息技术股份有限公司 | Dynamic video stream transmission method |
Also Published As
Publication number | Publication date |
---|---|
CN106993163B (en) | 2019-09-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106993163B (en) | A kind of video monitoring system based on motion image detection | |
CN102158689B (en) | Video monitoring system and method | |
CN105120159B (en) | The method and server of picture are obtained by remote control | |
CN107707881A (en) | A kind of building site remote monitoring system based on internet and mobile terminal | |
CN104660916A (en) | Screen splicing system and processing method of video data streams | |
CN104618685A (en) | Intelligent image analysis method for power supply business hall video monitoring | |
CN106791655B (en) | A kind of method for processing video frequency and device | |
CN106993164B (en) | A kind of video monitoring method based on motion image detection | |
CN102355572A (en) | Large high-definition video monitoring system based on cloud computing | |
CN105357523B (en) | One kind being based on HOSVD algorithm video compression system and method | |
CN106454388B (en) | A kind of method and apparatus for determining live streaming setting information | |
Sun et al. | VU: Edge computing-enabled video usefulness detection and its application in large-scale video surveillance systems | |
CN110430395A (en) | Video data AI processing system and processing method | |
CN109905423B (en) | Intelligent management system | |
CN106131670A (en) | A kind of adaptive video coding method and terminal | |
CN108062507A (en) | A kind of method for processing video frequency and device | |
CN108391092A (en) | Danger identifying system based on deep learning | |
CN2930158Y (en) | Video frequency image monitor device of radio digital terminal | |
CN106331603A (en) | Video monitoring method, apparatus, system and server | |
CN102957940B (en) | Improvement-based four-way operator video noise detection method | |
CN106101830A (en) | A kind of video flow detection method combined based on region detection and applying detection | |
CN114095725B (en) | Method and system for judging whether camera is abnormal | |
CN113628121B (en) | Method and device for processing and training multimedia data | |
CN105656921A (en) | Data transmission method, apparatus and device | |
CN115514929A (en) | Two-stage series storage system based on video compression data |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |