CN106060473A - Big data processing method and big data processing device - Google Patents
Big data processing method and big data processing device Download PDFInfo
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- CN106060473A CN106060473A CN201610478314.1A CN201610478314A CN106060473A CN 106060473 A CN106060473 A CN 106060473A CN 201610478314 A CN201610478314 A CN 201610478314A CN 106060473 A CN106060473 A CN 106060473A
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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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
- G06V40/161—Detection; Localisation; Normalisation
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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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- 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
- G06V40/168—Feature extraction; Face representation
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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
- G06V40/168—Feature extraction; Face representation
- G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
Abstract
The invention relates to a big data processing method and a big data processing device. The device comprises theatre content acquisition equipment, sub-screen region detection equipment and content analysis equipment; and the content analysis equipment is respectively connected with the theatre content acquisition equipment and the sub-screen region detection equipment and is used for determining whether a candid camera behavior exists in a theatre on the basis of outputs of the theatre content acquisition equipment and the sub-screen region detection equipment, wherein the sub-screen region detection equipment is on a big data service platform. By the big data processing method and the big data processing device which are disclosed by the invention, the intelligence level of detecting the candid camera behavior in the theatre can be improved.
Description
Technical field
The present invention relates to big data fields, particularly relate to big data processing method and big data processing equipment.
Background technology
The existing anti-electronic jamming device taken on the sly is that a kind of infrared facility is placed in the back side of curtain or stage,
Infrared facility sends the sightless infrared ray of human eye, if the person of taking on the sly is moving terminal or video camera shooting, the most infrared
Line by the video camera imaging of the interference person of taking on the sly, causes image or lower picture quality that the person of taking on the sly obtains, it is impossible to commercially sell
Sell and propagate on network, thus effectively safeguarding copyright interest.
But, this mode needs to launch infrared ray always, and ultrared transmitting is large-scale, needs from each
Infrared ray, relatively costly and poor feasibility are all launched in position.Therefore on-the-spot electronics prevents that the equipment of taking on the sly also needs to find other
Break through direction.
To this end, the present invention proposes a kind of big data processing method and big data processing equipment, it is possible to by scene is seen
In many seats spectators behavioral value and by the parameter extraction of site environment is determined in audience seat whether exist steathily
Bat person, and can in time the position at the person of taking on the sly place be positioned, in order to take to orient warning measure accordingly, remind and steal
Bat person abandons the behavior of taking on the sly.
Summary of the invention
In order to solve the problems referred to above, the invention provides big data processing equipment, auditorium image acquisition is set at the scene
Equipment completes the extraction to auditorium image, introduces various image processing equipment and image analysis equipment judges in the image of auditorium
Whether there is the suspicious person of taking on the sly, in the case of there is the suspicious person of taking on the sly, extract suspicious seat, the person of taking on the sly place
Numbering, detects ambient parameter or current performance content, with the letter according to the suspicious person of taking on the sly the most at the scene in real time
Breath and Site Detection result determine the person that really do not takes on the sly, it is even more important that establish and a set of can carry out according to the person of taking on the sly position
The mechanism of directional cues, thus completely automatically realize the detection of the electronic type to the person of taking on the sly and warning.
According to an aspect of the present invention, it is provided that big data processing equipment, described device include arenas content acquisition equipment,
Sub screen area detection equipment and Content analysis apparatus, Content analysis apparatus respectively with arenas content acquisition equipment and sub-screen district
Territory detection equipment connects, for detecting based on arenas content acquisition equipment and sub screen area whether the output of equipment determines arenas
There is behavior of taking on the sly, wherein, sub screen area detection equipment is on big data service platform.
More specifically, in described big data processing equipment, including: arenas content acquisition equipment, it is arranged on theatrical stage
Opposite, the scene image on Real-time Collection theatrical stage is to export as real-time scene image；Content analysis apparatus, is arranged
Indoor at the Background control of arenas, it is connected with sub screen area detection equipment and arenas content acquisition equipment respectively, is used for receiving
Real-time scene image, is additionally operable to receive the seat numbering of each screen subimage and its correspondence, by each screen subimage
Content matching is carried out to determine content matching percentage ratio, when content matching percentage ratio is more than or equal to presetting hundred with real-time scene image
During proportion by subtraction threshold value, using seat numbering corresponding for screen subimage as targeted seat numbering output；Wherein, Content analysis apparatus will
Each screen subimage and real-time scene image carry out content matching to determine that content matching percentage ratio specifically includes: will be in real time
Each pixel in scene image carries out pixel value with each pixel of each screen subimage and mates, and the match is successful for pixel value
The quantity of pixel the most, the content matching percentage ratio that screen subimage is corresponding is the highest；MSP430 single-chip microcomputer, is arranged on arenas
Background control is indoor, is connected with Content analysis apparatus, includes that what targeted seat numbered drives for numbering based on targeted seat to send
Dynamic control signal；Remote control equipment, is arranged on the position, roof directly over theatrical stage, for being connected to connect with MSP430 single-chip microcomputer
Receive the drive control signal that MSP430 single-chip microcomputer is sent, and resolve drive control signal to determine that targeted seat is numbered,
Remote signal is determined based on targeted seat numbering；Seat warning lamp, each spectators seat arranges one, is used for receiving remote control
Signal is to carry out HONGGUANG warning based on remote signal；High-definition image collecting device, is arranged on middle position, arenas roof, for right
The auditorium on theatrical stage opposite carries out image acquisition to export high-definition image, and the resolution of high-definition image is 3840 × 2160；
Big data service platform, is positioned at far-end, is connected by network with high-definition image collecting device, be used for receiving high-definition image and to height
Clear image processes, and big data service platform includes: gray processing processing equipment, including channel parameters extraction unit, weighted value
Memory element and gray value computing unit, channel parameters extraction unit is connected with high-definition image collecting device, is used for receiving high definition
Image, to extract the R passage pixel value of each pixel in high-definition image, G passage pixel value and channel B pixel value, weights
Value memory element is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, and gray value computing unit divides
It is not connected with channel parameters extraction unit and weighted value memory element, for each pixel in high-definition image, by R passage picture
Element is worth the product with the product of R channel weighting value, G passage pixel value and G channel weighting value and channel B pixel value and channel B
The product addition of weighted value with obtain for the gray value of pixel, and based on the gray value of each pixel in high-definition image
Obtain the gray level image that high-definition image is corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is
0.586811, channel B weighted value value is 0.114350；Histogram distribution detection equipment, is connected with gray processing processing equipment, uses
In receiving gray level image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence, directly
When side's figure image presents bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal；Threshold value
Selection equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by global threshold
128 as threshold data export, receive non-global threshold select signal time, using neighbor pixel gray difference threshold 40 as
Threshold data exports；Binary conversion treatment equipment, selects with threshold value equipment and histogram distribution detection equipment to be connected respectively, is used for
When receiving global threshold selection signal, for each pixel in gray level image, when gray value is more than or equal to threshold value
During data, by for pixel be set to white level pixel, when gray value less than threshold data time, by for pixel
It is set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment is additionally operable to connecing
When receiving non-global threshold selection signal, for each pixel in gray level image, calculate vertical direction upwards distance
The gray value of the pixel of its 3 pixels, as upper grey scale pixel value, calculates vertical direction downwards apart from its 3 pixels
The gray value of pixel is as lower grey scale pixel value, and calculated level direction is to the left apart from the gray scale of pixel of its 3 pixels
Value as left grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right pixel
Gray value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value
During with the absolute value of the difference of right grey scale pixel value less than or equal to threshold data, by for pixel be set to white level pixel
Point, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left grey scale pixel value and right pixel
The absolute value of the difference of gray value more than threshold data time, by for pixel be set to black level pixel, and output gray level
Change the binary image that image is corresponding；Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary picture
Picture, for each pixel in binary image, when adjacent all pixels exist the trip point of more than half,
Then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel, and
The smoothed image that output binary image is corresponding；Medium filtering equipment, is connected with image balance processing equipment, is used for receiving smooth
Image, carries out following process to obtain filtering image for each pixel in smoothed image as target pixel points: with mesh
Multiple pixel is taken out as the centre of form of the filtration module selected in smoothed image in mark pixel position in smoothed image
As multiple reference image vegetarian refreshments, take the maximum in the pixel value of multiple reference image vegetarian refreshments and minima using as pixel maximum
And pixel minimum, determine that the meansigma methods of pixel maximum and pixel minimum is as pixel average, to join for each
Examine pixel, if its pixel value is less than pixel average, then replace its pixel value with 0, if its pixel value is more than or equal to picture
Element meansigma methods, then retain its pixel value, finally using the meansigma methods of the pixel value of multiple reference image vegetarian refreshments as target pixel points
Pixel value exports；Sub screen area detection equipment, the Background control being arranged on arenas is indoor, passes through network with medium filtering equipment
Connect to obtain filtering image；For each pixel in filtering image, by its gray value and default mobile terminal screen
Tonal range is mated, and when its gray value is in default mobile terminal screen tonal range, determines that it is screen pixels point；
Split to obtain each screen subgraph from filtering image by the region that all screen pixels points in filtering image form
Picture；For each screen subimage, for its position in filtering image determine for seat corresponding to screen subimage
Bit number；Wherein, for seat corresponding to screen subimage numbered hold for mobile end corresponding to screen subimage
The theatre seats numbering at the spectators place of end；Wherein, the quantity of the pixel value pixel that the match is successful and content matching percentage ratio
Relation is non-linear dependence.
More specifically, in described big data processing equipment, also include: mmc card, it is used for storing default mobile terminal screen
Tonal range.
More specifically, in described big data processing equipment, also include: user input device, be connected with mmc card, be used for
Operation based on user, mobile terminal screen tonal range is preset in input.
More specifically, in described big data processing equipment, also include: user input device is touch screen or keyboard battle array
Row.
More specifically, in described big data processing equipment, also include: the network that big data processing platform (DPP) connects is mobile
Communication network.
More specifically, in described big data processing equipment, also include: mobile communications network is that 3G communication network or 4G lead to
Communication network.
According to a further aspect in the invention, it is provided that a kind of big data processing method, described method is above-mentioned for building
Big data processing equipment.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram according to the big data processing equipment shown in embodiment of the present invention.
Reference: 1 arenas content acquisition equipment；2 sub screen area detection equipment；3 Content analysis apparatus
Detailed description of the invention
Below with reference to accompanying drawings the embodiment of the big data processing equipment of the present invention is described in detail.
The most substantial amounts of camera interference method mainly make use of imaging sensor to respond ultrared principle.In order to disturb shifting
Moving video camera and generate light in the picture of shooting, infrared emitter is installed in cinema.Except those emitters
Etc. extra cost price and regular job expense, this scheme can be by enclosing suitable filter on camera lens.But it is this
Mode is easy to be avoided because of the selection of the person of taking on the sly.
In order to overcome above-mentioned deficiency, the present invention has built big data processing method and big data processing equipment, to auditorium
Image carries out electronic analysis, scene performance environment is carried out electronic analysis, and carries out the person's of taking on the sly judgement based on two kinds of analysis results,
It addition, the person of taking on the sly is reminded by the positional information being additionally based upon the person of taking on the sly, thus realize the oriented detection of the on-the-spot person of taking on the sly of performance
With orientation warning.
Fig. 1 is the block diagram according to the big data processing equipment shown in embodiment of the present invention, and described device includes
Arenas content acquisition equipment, sub screen area detection equipment and Content analysis apparatus, Content analysis apparatus respectively with arenas content
Collecting device and sub screen area detection equipment connect, for detecting equipment based on arenas content acquisition equipment and sub screen area
Output determine whether arenas exists the behavior of taking on the sly, wherein, sub screen area detection equipment on big data service platform.
Then, continue the concrete structure of the big data processing equipment of the present invention is further detailed.
Described device includes: arenas content acquisition equipment, is arranged on theatrical stage opposite, for Real-time Collection theatrical stage
On scene image using as real-time scene image export.
Described device includes: Content analysis apparatus, and the Background control being arranged on arenas is indoor, examines with sub screen area respectively
Measurement equipment and arenas content acquisition equipment connect, and are used for receiving real-time scene image, are additionally operable to receive each screen subimage
Number with the seat of its correspondence, each screen subimage and real-time scene image are carried out content matching to determine content matching
Percentage ratio, when content matching percentage ratio is more than or equal to preset percentage threshold value, makees seat numbering corresponding for screen subimage
For targeted seat numbering output；Wherein, each screen subimage and real-time scene image are carried out content by Content analysis apparatus
Coupling is to determine that content matching percentage ratio specifically includes: by each pixel in real-time scene image and each screen subimage
Each pixel carry out pixel value coupling, the quantity of the pixel value pixel that the match is successful is the most, the content that screen subimage is corresponding
Match-percentage is the highest.
Described device includes: MSP430 single-chip microcomputer, and the Background control being arranged on arenas is indoor, with Content analysis apparatus even
Connect, for sending, based on targeted seat numbering, the drive control signal including that targeted seat is numbered；Remote control equipment, is arranged on arenas
Position, roof directly over stage, controls letter for being connected the driving sent to receive MSP430 single-chip microcomputer with MSP430 single-chip microcomputer
Number, and resolve drive control signal to determine that targeted seat is numbered, determine remote signal based on targeted seat numbering.
Described device includes: seat warning lamp, and each spectators seat arranges one, is used for receiving remote signal with base
HONGGUANG warning is carried out in remote signal；High-definition image collecting device, is arranged on middle position, arenas roof, for theatrical stage
The auditorium on opposite carries out image acquisition to export high-definition image, and the resolution of high-definition image is 3840 × 2160.
Described device includes: big data service platform, is positioned at far-end, is connected by network with high-definition image collecting device,
For receiving high-definition image and high-definition image being processed.
Big data service platform includes: gray processing processing equipment, including channel parameters extraction unit, weighted value memory element
With gray value computing unit, channel parameters extraction unit is connected with high-definition image collecting device, is used for receiving high-definition image to carry
Taking out the R passage pixel value of each pixel, G passage pixel value and channel B pixel value in high-definition image, weighted value storage is single
Unit is used for having prestored R channel weighting value, G channel weighting value and channel B weighted value, gray value computing unit respectively with passage
Parameter extraction unit and weighted value memory element connect, for each pixel in high-definition image, by R passage pixel value and R
The product of the product of channel weighting value, G passage pixel value and G channel weighting value and channel B pixel value and channel B weighted value
Product addition with obtain for the gray value of pixel, and obtain high definition based on the gray value of each pixel in high-definition image
The gray level image that image is corresponding；Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is
0.586811, channel B weighted value value is 0.114350.
Big data service platform includes: histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving ash
Degreeization image, and gray level image is carried out the grey level histogram process histogram image with acquisition correspondence, at histogram image
When presenting bimodal distribution, send global threshold and select signal, otherwise, send non-global threshold and select signal.
Big data service platform includes: threshold value selects equipment, is connected, for receiving with histogram distribution detection equipment
When global threshold selects signal, global threshold 128 is exported as threshold data, select signal receiving non-global threshold
Time, neighbor pixel gray difference threshold 40 is exported as threshold data.
Big data service platform includes: binary conversion treatment equipment, selects equipment and histogram distribution detection respectively with threshold value
Equipment connects, for when receiving global threshold and selecting signal, for each pixel in gray level image, working as gray scale
Value more than or equal to threshold data time, by for pixel be set to white level pixel, when gray value less than threshold data time,
By for pixel be set to black level pixel, and the binary image that output gray level image is corresponding；Binary conversion treatment
Equipment is additionally operable to, when receiving non-global threshold and selecting signal, for each pixel in gray level image, calculate and hang down
Nogata to upwards apart from the gray value of pixel of its 3 pixels as upper grey scale pixel value, calculate vertical direction downwards away from
From the gray value of pixel of its 3 pixels as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
The gray value of pixel as left grey scale pixel value, calculated level direction is to the right apart from the ash of pixel of its 3 pixels
Angle value is as right grey scale pixel value, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is less than or equal to threshold data
And the absolute value of the difference of left grey scale pixel value and right grey scale pixel value less than or equal to threshold data time, by for pixel arrange
For white level pixel, when the absolute value of upper grey scale pixel value and the difference of lower grey scale pixel value is more than threshold data or left pixel ash
The absolute value of the difference of angle value and right grey scale pixel value more than threshold data time, by for pixel be set to black level pixel
Point, and the binary image that output gray level image is corresponding.
Big data service platform includes: picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving two-value
Change image, for each pixel in binary image, when adjacent all pixels exist more than half saltus step
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be set to white level pixel
Point, and export the smoothed image that binary image is corresponding.
Big data service platform includes: medium filtering equipment, is connected with image balance processing equipment, is used for receiving smooth figure
Picture, carries out following process to obtain filtering image for each pixel in smoothed image as target pixel points: with target
Multiple pixel work is taken out as the centre of form of the filtration module selected in smoothed image in pixel position in smoothed image
For multiple reference image vegetarian refreshments, take the maximum in the pixel value of multiple reference image vegetarian refreshments and minima using as pixel maximum and
Pixel minimum, determine the meansigma methods of pixel maximum and pixel minimum using as pixel average, for each reference
Pixel, if its pixel value is less than pixel average, then replaces its pixel value with 0, if its pixel value is more than or equal to pixel
Meansigma methods, then retain its pixel value, finally using the meansigma methods of the pixel value of multiple reference image vegetarian refreshments as the picture of target pixel points
Element value output.
Described device includes: sub screen area detection equipment, the Background control being arranged on arenas is indoor, sets with medium filtering
For connecting to obtain filtering image by network；For each pixel in filtering image, its gray value is moved with presetting
Dynamic terminal screen tonal range is mated, and when its gray value is in default mobile terminal screen tonal range, determines that it is
Screen pixels point；Split to obtain respectively from filtering image by the region that all screen pixels points in filtering image form
Individual screen subimage；For each screen subimage, for its position in filtering image determine for screen subgraph
As corresponding seat numbering；Wherein, for seat corresponding to screen subimage numbered hold for screen subimage pair
The theatre seats numbering at the spectators place of the mobile terminal answered.Wherein, the quantity of the pixel value pixel that the match is successful and content
The relation of component percentage is non-linear dependence.
Alternatively, in described platform: mmc card, it is used for storing default mobile terminal screen tonal range；User's input sets
Standby, it is connected with mmc card, for operation based on user, mobile terminal screen tonal range is preset in input；User input device is
Touch screen or keyboard array；The network that big data processing platform (DPP) connects is mobile communications network；Mobile communications network is 3G communication
Network or 4G communication network.
It addition, data are likened to the colliery containing energy.Coal has coking coal, anthracite, rich coal, meager coal etc. according to character
Classification, and the excavating cost of open coal mine, colliery, remote mountains is different.Similar, big data are not " greatly ", and are
" useful ".Value content, excavating cost are more even more important than quantity.For a lot of industries, these how are utilized to count on a large scale
According to being the key becoming and winning competition.
The value dimension of big data is in the following aspects: the enterprise that a large amount of consumers 1) provide product or service is permissible
Big data are utilized to carry out precision marketing；2) the middle long-tail enterprise doing little and U.S. pattern can utilize big data to do service transformation；3)
Face the traditional forms of enterprises that must make the transition under the Internet pressure to need to grow with each passing hour to make full use of the value of big data.
Use the big data processing equipment of the present invention, cannot be for the effective electronics of offer of taking on the sly of performance for prior art
The technical problem of detection, by using targetedly, high-precision a series of images processing equipment and image analysis equipment pair
The audience status of auditorium is analyzed, and is analyzed also by the environment on-the-spot to performance, on the basis of above-mentioned analysis, right
In auditorium, the behavior of pirates shoot person accurately detects and location recognition, finally takes aposematic mechanism that the person of taking on the sly is carried out electronics and carries
Wake up, thus while avoiding interference other spectators viewing, effectively reduce the generation of behavior of taking on the sly.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-described embodiment being not used to
Limit the present invention.For any those of ordinary skill in the art, without departing under technical solution of the present invention ambit,
Technical solution of the present invention is made many possible variations and modification by the technology contents that all may utilize the disclosure above, or is revised as
Equivalent embodiments with change.Therefore, every content without departing from technical solution of the present invention, according to the technical spirit pair of the present invention
Any simple modification made for any of the above embodiments, equivalent variations and modification, all still fall within the scope of technical solution of the present invention protection
In.
Claims (8)
1. big data processing equipment, described device includes that arenas content acquisition equipment, sub screen area detection equipment and content are divided
Desorption device, Content analysis apparatus detects equipment with arenas content acquisition equipment and sub screen area respectively and is connected, for based on play
The output of field content acquisition equipment and sub screen area detection equipment determines whether arenas exists the behavior of taking on the sly, wherein, and sub-screen
Equipment for area detection equipment is on big data service platform.
2. big data processing equipment as claimed in claim 1, it is characterised in that described device includes:
Arenas content acquisition equipment, is arranged on theatrical stage opposite, and the scene image on Real-time Collection theatrical stage is to make
Export for real-time scene image；
Content analysis apparatus, the Background control being arranged on arenas is indoor, respectively with sub screen area detection equipment and arenas content
Collecting device connects, and is used for receiving real-time scene image, and the seat being additionally operable to receive each screen subimage and its correspondence is compiled
Number, each screen subimage and real-time scene image are carried out content matching to determine content matching percentage ratio, when content
When component percentage is more than or equal to preset percentage threshold value, seat numbering corresponding for screen subimage is defeated as targeted seat numbering
Go out；Wherein, each screen subimage and real-time scene image are carried out content matching to determine content by Content analysis apparatus
Component percentage specifically includes: each pixel of each pixel in real-time scene image Yu each screen subimage is carried out picture
Element value coupling, the quantity of the pixel value pixel that the match is successful is the most, and the content matching percentage ratio that screen subimage is corresponding is the highest；
MSP430 single-chip microcomputer, the Background control being arranged on arenas is indoor, is connected with Content analysis apparatus, for based on targeted seat
Numbering sends the drive control signal including that targeted seat is numbered；
Remote control equipment, is arranged on the position, roof directly over theatrical stage, for being connected with MSP430 single-chip microcomputer to receive
The drive control signal that MSP430 single-chip microcomputer is sent, and resolve drive control signal to determine that targeted seat is numbered, base
Remote signal is determined in targeted seat numbering；
Seat warning lamp, each spectators seat arranges one, is used for receiving remote signal to carry out red based on remote signal
Light warns；
High-definition image collecting device, is arranged on middle position, arenas roof, for the auditorium on theatrical stage opposite is carried out figure
As gathering to export high-definition image, the resolution of high-definition image is 3840 × 2160；
Big data service platform, is positioned at far-end, is connected by network with high-definition image collecting device, be used for receiving high-definition image also
Processing high-definition image, big data service platform includes:
Gray processing processing equipment, including channel parameters extraction unit, weighted value memory element and gray value computing unit, passage is joined
Number extraction unit is connected with high-definition image collecting device, is used for receiving high-definition image to extract each pixel in high-definition image
R passage pixel value, G passage pixel value and the channel B pixel value of point, weighted value memory element is used for having prestored R passage and adds
Weights, G channel weighting value and channel B weighted value, gray value computing unit is deposited with channel parameters extraction unit and weighted value respectively
Storage unit connects, for each pixel in high-definition image, by R passage pixel value and the product of R channel weighting value, G passage
The product addition of the product of pixel value and G channel weighting value and channel B pixel value and channel B weighted value with obtain for picture
The gray value of vegetarian refreshments, and obtain, based on the gray value of each pixel in high-definition image, the gray level image that high-definition image is corresponding；
Wherein, R channel weighting value value is 0.298839, and G channel weighting value value is 0.586811, and channel B weighted value value is
0.114350；
Histogram distribution detection equipment, is connected with gray processing processing equipment, is used for receiving gray level image, and to gray level image
Carry out grey level histogram to process to obtain corresponding histogram image, when histogram image presents bimodal distribution, send the overall situation
Threshold value selects signal, otherwise, sends non-global threshold and selects signal；
Threshold value selects equipment, is connected with histogram distribution detection equipment, for when receiving global threshold and selecting signal, by complete
Office's threshold value 128 exports as threshold data, when receiving non-global threshold and selecting signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, selects equipment and histogram distribution detection equipment to be connected, for receiving entirely respectively with threshold value
When office's threshold value selects signal, for each pixel in gray level image, when gray value is more than or equal to threshold data, will
For pixel be set to white level pixel, when gray value less than threshold data time, by for pixel be set to black
Level pixel point, and the binary image that output gray level image is corresponding；Binary conversion treatment equipment be additionally operable to receive non-entirely
When office's threshold value selects signal, for each pixel in gray level image, calculate vertical direction upwards apart from its 3 pixels
The gray value of the pixel of point as upper grey scale pixel value, calculates vertical direction downwards apart from the pixel of its 3 pixels
Gray value as lower grey scale pixel value, calculated level direction to the left apart from the gray value of pixel of its 3 pixels as a left side
Grey scale pixel value, calculated level direction to the right apart from the gray value of pixel of its 3 pixels as right grey scale pixel value, when
The absolute value of the difference of upper grey scale pixel value and lower grey scale pixel value is less than or equal to threshold data and left grey scale pixel value and right pixel
The absolute value of the difference of gray value less than or equal to threshold data time, by for pixel be set to white level pixel, when upper picture
The absolute value of the difference of element gray value and lower grey scale pixel value more than threshold data or left grey scale pixel value and right grey scale pixel value it
Difference absolute value more than threshold data time, by for pixel be set to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, is connected with binary conversion treatment equipment, is used for receiving binary image, in binary image
Each pixel, when adjacent all pixels exist the trip point of more than half, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be set to white level pixel, and it is corresponding to export binary image
Smoothed image；
Medium filtering equipment, is connected with image balance processing equipment, is used for receiving smoothed image, in smoothed image each
Pixel carries out following process to obtain filtering image as target pixel points: with target pixel points position in smoothed image
In smoothed image, take out multiple pixel as multiple reference image vegetarian refreshments as the centre of form of filtration module selected, take multiple ginseng
Examine the maximum in the pixel value of pixel and minima as pixel maximum and pixel minimum, to determine pixel maximum
With the meansigma methods of pixel minimum using as pixel average, for each reference image vegetarian refreshments, if its pixel value is less than picture
Element meansigma methods, then replace its pixel value with 0, if its pixel value is more than or equal to pixel average, then retain its pixel value, finally
The meansigma methods of the pixel value of multiple reference image vegetarian refreshments is exported as the pixel value of target pixel points；
Sub screen area detection equipment, the Background control being arranged on arenas is indoor, with medium filtering equipment by network be connected with
Obtain filtering image；For each pixel in filtering image, by its gray value and default mobile terminal screen gray scale model
Enclose and mate, when its gray value is in default mobile terminal screen tonal range, determine that it is screen pixels point；Will filtering
The region of all screen pixels points composition in image splits to obtain each screen subimage from filtering image；For
Each screen subimage, for its position in filtering image determine for screen subimage corresponding seat numbering；
Wherein, for seat corresponding to screen subimage numbered hold for the spectators of mobile terminal corresponding to screen subimage
The theatre seats numbering at place；
Wherein, the quantity of the pixel value pixel that the match is successful and the relation of content matching percentage ratio are non-linear dependence.
3. big data processing equipment as claimed in claim 2, it is characterised in that described device also includes:
Mmc card, is used for storing default mobile terminal screen tonal range.
4. big data processing equipment as claimed in claim 3, it is characterised in that described device also includes:
User input device, is connected with mmc card, and for operation based on user, mobile terminal screen tonal range is preset in input.
5. big data processing equipment as claimed in claim 4, it is characterised in that:
User input device is touch screen or keyboard array.
6. big data processing equipment as claimed in claim 2, it is characterised in that:
The network that big data processing platform (DPP) connects is mobile communications network.
7. big data processing equipment as claimed in claim 6, it is characterised in that:
Mobile communications network is 3G communication network or 4G communication network.
8. a big data processing method, described method processes dress for building the big data as described in claim 2-7 is arbitrary
Put.
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| CN201610478314.1A CN106060473A (en) | 2016-06-27 | 2016-06-27 | Big data processing method and big data processing device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107146252A (en) * | 2017-04-28 | 2017-09-08 | 深圳齐心集团股份有限公司 | A kind of big data image processing apparatus |
| CN107784653A (en) * | 2017-11-06 | 2018-03-09 | 山东浪潮云服务信息科技有限公司 | A kind of Anti-sneak-shooting system and method |
| WO2018195957A1 (en) * | 2017-04-28 | 2018-11-01 | 深圳齐心集团股份有限公司 | Big data image processing apparatus |
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| CN109492654A (en) * | 2018-12-25 | 2019-03-19 | 中国科学院长春光学精密机械与物理研究所 | The detection method and device of camera are pried through in a kind of interior |
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| CN109087275A (en) * | 2018-03-21 | 2018-12-25 | 杨娟 | Computer estimation method |
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2016
- 2016-06-27 CN CN201610478314.1A patent/CN106060473A/en not_active Withdrawn
- 2016-06-27 CN CN201610776366.7A patent/CN107547850A/en not_active Withdrawn
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107146252A (en) * | 2017-04-28 | 2017-09-08 | 深圳齐心集团股份有限公司 | A kind of big data image processing apparatus |
| WO2018195957A1 (en) * | 2017-04-28 | 2018-11-01 | 深圳齐心集团股份有限公司 | Big data image processing apparatus |
| CN107784653A (en) * | 2017-11-06 | 2018-03-09 | 山东浪潮云服务信息科技有限公司 | A kind of Anti-sneak-shooting system and method |
| CN109724149A (en) * | 2018-07-24 | 2019-05-07 | 永康市蜂蚁科技有限公司 | Expanding type radiator based on image data analyzing |
| CN109785470A (en) * | 2018-08-03 | 2019-05-21 | 秦广民 | Gate inhibition's intelligent control mechanism, supermarket |
| CN108960346A (en) * | 2018-08-09 | 2018-12-07 | 荣雄 | building similarity analysis platform |
| CN109492654A (en) * | 2018-12-25 | 2019-03-19 | 中国科学院长春光学精密机械与物理研究所 | The detection method and device of camera are pried through in a kind of interior |
| CN109492654B (en) * | 2018-12-25 | 2021-02-12 | 中国科学院长春光学精密机械与物理研究所 | Detection method and device for indoor endoscopic camera |
| CN111935403A (en) * | 2020-08-14 | 2020-11-13 | 昆山同日工业自动化有限公司 | Confidential area violation photographing monitoring system based on 5G network |
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| CN107547850A (en) | 2018-01-05 |
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