CN106507052A - A kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal - Google Patents
A kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal Download PDFInfo
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- CN106507052A CN106507052A CN201611051665.0A CN201611051665A CN106507052A CN 106507052 A CN106507052 A CN 106507052A CN 201611051665 A CN201611051665 A CN 201611051665A CN 106507052 A CN106507052 A CN 106507052A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- General Health & Medical Sciences (AREA)
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Abstract
The invention provides a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal, including monitoring system and cell-phone customer terminal, the cell-phone customer terminal can be implemented function such as by wireless communication technology：(1) efficient Streaming Media scheme, including：Transport module, decoder module and render display module so that can long-range displaying live view high-definition image by cell-phone customer terminal；(2) by client, realize sharing to retain telefile to social platform or high in the clouds platform storing.Present invention achieves remote access monitoring system and data sharing.
Description
Technical field
The present invention relates to monitoring field, and in particular to a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal.
Background technology
At present, existing similar technique or product have some shortcomings or defect, such as：
One, remote access can only support single monitor video preview；
Two, fail to realize data sharing or be uploaded to long-distance cloud end platform.
Content of the invention
For the problems referred to above, the present invention is intended to provide a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal.
The purpose of the present invention employs the following technical solutions to realize：
A kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal, including monitoring system and cell-phone customer terminal, institute
Cell-phone customer terminal is stated by wireless communication technology, can be implemented function such as：
(1) efficient Streaming Media scheme, including：Transport module, decoder module and render display module so that by mobile phone
Client can long-range displaying live view high-definition image；
(2) by client, realize sharing to retain telefile to social platform or high in the clouds platform storing.
Beneficial effects of the present invention are：Achieve remote access monitoring system and data sharing.
Description of the drawings
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for one of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to the following drawings
Other accompanying drawings.
Fig. 1 is the structure connection diagram of the present invention.
Reference：
Monitoring system 1, cell-phone customer terminal 2.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal of the present embodiment, including monitoring system
System 1 and cell-phone customer terminal 2, the cell-phone customer terminal 2 can be implemented function such as by wireless communication technology：
(1) efficient Streaming Media scheme, including：Transport module, decoder module and render display module so that by mobile phone
Client can long-range displaying live view high-definition image；
(2) by client, realize sharing to retain telefile to social platform or high in the clouds platform storing.
Preferably, the monitoring system 1 includes acquisition module, pretreatment module, characteristic extracting module, training module, again
Identification module, evaluation module；The acquisition module is used for video image acquisition, and the pretreatment module is used for determining in image
Personnel positions, obtain the rectangular area comprising personnel；The characteristic extracting module, for entering in the rectangular area comprising personnel
Row external appearance characteristic is extracted；The training module is used for training multiple cross-module state projection models, in each cross-module state projection model
Comprising two projection functions, the image in different cameras is held to levy and is mapped in common feature space and completes by respectively
Similarity Measure；Whether the identification module again, for containing the image consistent with personnel query and confirming in identification database
Personnel query identity；The evaluation module is used for being estimated systematic function.
Originally there is the identification and tracking for selecting embodiment to achieve personnel.
Preferably, the telefile is shared and is preserved with high in the clouds, specially：
(1) remote equipment file is sent to social platform by cell-phone customer terminal 2；
(2) remote equipment files passe is preserved to high in the clouds platform by cell-phone customer terminal 2.
Originally embodiment telefile is selected to share fast with high in the clouds preservation speed.
Preferably, the pretreatment module includes that image fusion unit, described image integrated unit are used for separate sources
Image carry out fusion treatment, so as to preferably obtain personnel comprehensive character, including：
(1) the two width source images to needing fusion carry out wavelet decomposition respectively with bi-orthogonal wavelet transformation, determine after decomposing
The wavelet coefficient of image；
(2) wavelet coefficient of image after decomposing is chosen to low frequency coefficient in the ratio for setting, and constitutes the small echo of fusion image
Low frequency coefficient matrix；
(3) local edge of specific region difference low-and high-frequency coefficient is analyzed using texture homogeneity measure to high frequency coefficient,
The texture homogeneity measure of image-region, and the high-frequency wavelet coefficient matrix according to predetermined rule determination fusion image is calculated,
The computing formula of the texture homogeneity measure in described image region is defined as：
In formula, GX (x) represents the texture homogeneity measure of image-region x, GXlRepresent each high fdrequency components of image-region x
Image texture homogeneity measure in the horizontal direction, GXcRepresent each high fdrequency components image of image-region x in vertical direction
Texture homogeneity measure, GXdEach high fdrequency components image of expression image-region x texture homogeneity in the diagonal directions is surveyed
Degree；
(4) the high-frequency wavelet coefficient matrix of the wavelet low frequency coefficient matrix of the fusion image, the fusion image is entered
The discrete biorthogonal wavelet inverse transformation of row, finally obtains fusion image.
This preferred embodiment arranges image fusion unit, according to the puppet that texture homogeneity measure can preferably tell image
Edge, makes detailed information more enrich and true while overall visual effect is ensured；Define the texture one of image-region
The computing formula that cause property is estimated, accelerates the speed of image co-registration.
Preferably, the predetermined rule includes：If there is more than 90% pixel value that there is larger texture in image-region
Homogeneity measure, defines the image-region for marginal zone, chooses the maximum high frequency imaging of corresponding Edge texture homogeneity measure
Wavelet coefficient constitutes the high-frequency wavelet coefficient matrix of the fusion image；If have in image-region more than 90% pixel value have compared with
Little texture homogeneity measure, defines the image-region for smooth area, calculates energy of the two width source images in the image-region respectively
According to energy and matching degree, amount and matching degree, determine that the wavelet coefficient of two width source images is shared in fusion image wavelet coefficient
Proportion, according to the high-frequency wavelet coefficient matrix that following formula determines the fusion image：
rg=αArA+(1-αA)rB
In formula, rgRepresent the high-frequency wavelet coefficient matrix of fusion image, rA、αAThe wavelet systems of secondary source images are represented respectively
The shared proportion in fusion image wavelet coefficient of number, the wavelet coefficient, rB、1-αAThe small echo of another secondary source images is represented respectively
The shared proportion in fusion image wavelet coefficient of coefficient, the wavelet coefficient.
This preferred embodiment determines the high-frequency wavelet coefficient matrix of fusion image according to predetermined rule, improves fusion
Effect and the speed of fusion.
Preferably, described comprising personnel rectangular area in carry out external appearance characteristic extraction, including：Carry out the illumination of image
Normalized, specially：Image is set first as I, image I is transformed into log-domain using LOG logarithms, filtered using difference Gauss
Ripple device is smoothed to image I, then carries out global contrast equalization processing to image I；Carry out picture size normalizing
Change is processed；Image block is carried out, for each image block, characteristic vector pickup is carried out；The characteristic vector of all image blocks is entered
Row series connection, then to series connection after image carry out PCA Feature Dimension Reductions.
This preferred embodiment arranges characteristic extracting module, before feature is extracted first carries out unitary of illumination process to image,
The scalloping produced because of illumination variation is reduced, makes the extraction of feature more accurate.
Preferably, the training module includes sample classification unit and cross-module state projection model unit；The sample
Taxon is specifically executed：
If two video camera C1And C2Corresponding feature space is respectivelyWithd1And d2Two are represented respectively
The dimension in individual camera feature space, it is assumed that training dataset is combined into K to across camera review feature
sk=s (xk,yk) ∈ { -1 ,+1 } represent sample pair class label, -1 represent foreign peoples ,+1 represent similar, according to class label will
Training set is divided into negative sample setWith positive sample set|J1|+|J2|=K；
The cross-module state projection model unit is specifically executed：
If cross-module state projection model set H=[h1h2,…,hL], L submodel is used for processing L kind data differences, each
Individual submodel is made up of a pair of projection functions, hl=[pxl(x),pYl(y)], omit footnote l, projection function pX(x) and pYY () will
X ∈ X and y ∈ Y projections are to common feature space：
In formula,Represent projection vector, a, b ∈ R be deviation from linearity, pX(x) and pYY () is by original spy
Levy and project in { -1 ,+1 } space；
There is projection function q simultaneouslyX(x) and qYY () is by x ∈ X and y ∈ Y projections to another common feature space：
The relation that sets up between data category and common trait space, objective function：
In formula, E represents expectation,Represent similar sample to and foreign peoples's sample pair importance balance index；
In formula, wkRepresent sample to { xk,ykSample weights in the study of this submodel,sk=s (xk,yk) ∈ { -1 ,+1 } represent sample pair class label,
By object function being minimized come learning parameter { u, v, a, b }, obtain corresponding projection function.
This preferred embodiment can fully tackle a variety of data distribution differences using multiple cross-module state projection models.
Preferably, whether contain the image consistent with personnel query in the identification database and confirm personnel query body
Part, including：
Assume that being queried personnel's collection is combined into { fi,status(fi), i=1,2 ..., N, fiRepresent i-th and be queried personnel,
status(fi) identity for being queried personnel for i-th is represented, for personnel query set { gj,status(gj), j=1,2 ...,
M：
status(gj)=status (f)
gjAnd fiSimilarity C (gj,fi) be expressed as：
C(gj,fi)=sign (uTgj+a)·sign(vTfi+b)+(uTgj+a)-(vTfi+b)||
Wealthy value T is set, T ∈ [1,2], if C is (gj,fi)<T, then be queried in personnel and there is no the figure consistent with personnel query
Picture；
If C is (gj,fi) >=T, the personnel that will be queried are sorted from big to small according to similarity, come foremost and inquirer
Member has identical identity.
This preferred embodiment improves the accuracy of identification of personnel and efficiency.
Preferably, described monitor system performance is estimated, define evaluation function：
In formula, N represents inquiry times, VnThe number of times of correct result can be found before representing in n positions, and evaluation function value is got over
Greatly, then the recognition performance again of system is better, and monitoring performance is stronger.
This preferred embodiment arranges evaluation module, is conducive to being improved intelligent real-time monitoring system.
One group of monitored results of the present invention are as shown in the table：
| N | The personal identification average used time | Personal identification accuracy rate |
| 9 | 0.17s | 95.8% |
| 18 | 0.15s | 95.7% |
| 27 | 0.19s | 96% |
Finally it should be noted that above example is only in order to illustrating technical scheme, rather than to present invention guarantor
The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, one of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (3)
1. a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal, is characterized in that, including monitoring system and mobile phone visitor
Family end, the cell-phone customer terminal can be implemented function such as by wireless communication technology：
(1) efficient Streaming Media scheme, including：Transport module, decoder module and render display module so that by cell phone customer
End can long-range displaying live view high-definition image；
(2) by client, realize sharing to retain telefile to social platform or high in the clouds platform storing.
2. a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal according to claim 1, is characterized in that, institute
Stating monitoring system includes acquisition module, pretreatment module, characteristic extracting module, again training module, identification module and evaluation module；
The acquisition module is used for video image acquisition, and the pretreatment module is used for determining that the personnel positions in image, acquisition include
The rectangular area of personnel；The characteristic extracting module, for carrying out external appearance characteristic extraction in the rectangular area comprising personnel；Institute
Training module is stated for training multiple cross-module state projection models, in each cross-module state projection model, includes two projection functions,
Image in different cameras is held to levy and is mapped in common feature space and completes Similarity Measure by respectively；Described again
Whether identification module, for containing the image consistent with personnel query and confirming personnel query identity in identification database；Described
Evaluation module is used for being estimated systematic function.
3. a kind of intelligent real-time monitoring system that is realized based on cell-phone customer terminal according to claim 2, is characterized in that, institute
State telefile to share and high in the clouds preservation, specially：
(1) remote equipment file is sent to social platform by cell-phone customer terminal；
(2) remote equipment files passe is preserved to high in the clouds platform by cell-phone customer terminal.
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Citations (2)
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| CN103279957A (en) * | 2013-05-31 | 2013-09-04 | 北京师范大学 | Method for extracting remote sensing image interesting area based on multi-scale feature fusion |
| CN105530494A (en) * | 2016-01-29 | 2016-04-27 | 珠海汇迪科技有限公司 | Intelligent real-time monitoring system implemented based on mobile phone client |
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2016
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Patent Citations (2)
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| CN103279957A (en) * | 2013-05-31 | 2013-09-04 | 北京师范大学 | Method for extracting remote sensing image interesting area based on multi-scale feature fusion |
| CN105530494A (en) * | 2016-01-29 | 2016-04-27 | 珠海汇迪科技有限公司 | Intelligent real-time monitoring system implemented based on mobile phone client |
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Application publication date: 20170315 |