CN107547850A - Big data processing method and big data processing unit - Google Patents
Big data processing method and big data processing unit Download PDFInfo
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- CN107547850A CN107547850A CN201610776366.7A CN201610776366A CN107547850A CN 107547850 A CN107547850 A CN 107547850A CN 201610776366 A CN201610776366 A CN 201610776366A CN 107547850 A CN107547850 A CN 107547850A
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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
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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
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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
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Abstract
The present invention relates to big data processing method and big data processing unit, described device includes arenas content acquisition equipment, sub-screen area detection device and Content analysis apparatus, Content analysis apparatus is connected with arenas content acquisition equipment and sub-screen area detection device respectively, determine arenas with the presence or absence of behavior of taking on the sly for the output based on arenas content acquisition equipment and sub-screen area detection device, wherein, sub-screen area detection device is on big data service platform.Taken on the sly the intelligent level of detection by means of the invention it is possible to improve arenas.
Description
The present invention be Application No. 2016104783141, the applying date be June 27, entitled " big data in 2016
The divisional application of the patent of processing method and big data processing unit ".
Technical field
The present invention relates to big data field, more particularly to big data processing method and big data processing unit.
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, infrared if the person of taking on the sly is moving terminal or video camera shooting
Line will disturb the video camera imaging of the person of taking on the sly, the image or lower picture quality for causing the person of taking on the sly to obtain, can not commercially sell
Sell and propagated on network, so as to effectively safeguard copyright interest.
But this mode needs to launch infrared ray always, and the transmitting of infrared ray is large-scale, it is necessary to from each
Infrared ray is all launched in position, and cost is higher and poor feasibility.Therefore the anti-equipment of taking on the sly of the electronics at scene also needs to find others
Break through direction.
Therefore, the present invention proposes a kind of big data processing method and big data processing unit, can be by being seen to scene
In many seats the behavioral value of spectators and by the parameter extraction to site environment come determine in audience seat with the presence or absence of steal
Bat person, and the position where the person of taking on the sly can be positioned in time, in order to take corresponding orientation warning measure, prompting is stolen
Bat person abandons the behavior of taking on the sly.
The content of the invention
In order to solve the above problems, the invention provides big data processing unit, sets auditorium IMAQ at the scene
Equipment completes the extraction to auditorium image, is introduced into various image processing equipments and image analysis equipment is judged in auditorium image
With the presence or absence of the suspicious person of taking on the sly, in the case where the suspicious person of taking on the sly be present, seat where extracting the suspicious person of taking on the sly
Numbering, then also ambient parameter or current performance content are detected in real time at the scene, with the letter according to the suspicious person of taking on the sly
Breath and Site Detection result determine the really person of taking on the sly, it is even more important that establish a set of can be carried out according to the person of taking on the sly position
The mechanism of directional cues, so as to completely automatically realize electronic type detection and warning to the person of taking on the sly.
According to an aspect of the present invention, there is provided big data processing unit, described device include arenas content acquisition equipment,
Sub-screen area detection device and Content analysis apparatus, Content analysis apparatus respectively with arenas content acquisition equipment and sub-screen area
Whether domain detection device connection, arenas is determined for the output based on arenas content acquisition equipment and sub-screen area detection device
In the presence of the behavior of taking on the sly, wherein, sub-screen area detection device is on big data service platform.
More specifically, in the big data processing unit, including：Arenas content acquisition equipment, is arranged on theatrical stage
Opposite, for gathering the scene image on theatrical stage in real time to be exported as real-time scene image；Content analysis apparatus, set
In the Background control room of arenas, it is connected respectively with sub-screen area detection device and arenas content acquisition equipment, for receiving
Real-time scene image, it is additionally operable to receive each screen subgraph seat numbering corresponding with its, by each screen subgraph
Content matching is carried out to determine content matching percentage with real-time scene image, when content matching percentage is more than or equal to default hundred
When dividing than threshold value, seat numbering corresponding to screen subgraph is numbered as targeted seat and exported；Wherein, Content analysis apparatus will
Each screen subgraph carries out content matching to determine that content matching percentage specifically includes with real-time scene image：Will be real-time
Each pixel and each pixel of each screen subgraph in scene image carry out pixel value matching, and the match is successful for pixel value
Pixel quantity it is more, content matching percentage is higher corresponding to screen subgraph；MSP430 single-chip microcomputers, are arranged on arenas
In Background control room, it is connected with Content analysis apparatus, the drive of targeted seat numbering is included for being sent based on targeted seat numbering
Dynamic control signal；Remote control equipment, the roof position being arranged on directly over theatrical stage, for being connected with MSP430 single-chip microcomputers to connect
The driving control signal that MSP430 single-chip microcomputers are sent is received, and driving control signal is parsed to determine that targeted seat is numbered,
Numbered based on targeted seat and determine remote signal；Seat warning lamp, one is set on each spectators seat, be remotely controlled for receiving
Signal is with based on remote signal progress feux rouges warning；High-definition image collecting device, be arranged on arenas roof middle position, for pair
The auditorium on theatrical stage opposite carries out IMAQ to export high-definition image, and the resolution ratio of high-definition image is 3840 × 2160；
Big data service platform, positioned at distal end, with high-definition image collecting device by network connection, for receiving high-definition image and to height
Clear image is handled, and big data service platform includes：Gray processing processing equipment, including channel parameters extraction unit, weighted value
Memory cell and gray value computing unit, channel parameters extraction unit is connected with high-definition image collecting device, for receiving high definition
Image is weighted with extracting R passages pixel value, G passages pixel value and the channel B pixel value of each pixel in high-definition image
Value memory cell is used to prestore R channel weightings value, G channel weightings value and channel B weighted value, gray value computing unit point
It is not connected with channel parameters extraction unit and weighted value memory cell, for each pixel in high-definition image, by R passage pictures
The product of element value and R channel weighting values, G passages pixel value and the product and channel B pixel value and channel B of G channel weighting values
The gray value for the pixel that the product addition of weighted value is directed to obtaining, and based on the gray value of each pixel in high-definition image
Obtain gray level image corresponding to high-definition image；Wherein, R channel weightings value value is that 0.298839, G channel weighting value values are
0.586811, channel B weighted value value is 0.114350；Histogram distribution detection device, it is connected, uses with gray processing processing equipment
In reception gray level image, and grey level histogram processing is carried out to gray level image to obtain corresponding histogram image, straight
When bimodal distribution is presented in square figure image, global threshold selection signal is sent, otherwise, sends non-global threshold selection signal；Threshold value
Equipment is selected, is connected with histogram distribution detection device, for when receiving global threshold selection signal, by global threshold
128 as threshold datas export, when receiving non-global threshold selection signal, using neighbor pixel gray difference threshold 40 as
Threshold data exports；Binary conversion treatment equipment, select equipment and histogram distribution detection device to be connected with threshold value respectively, 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 arranged to white level pixel, when gray value is less than threshold data, by for pixel
It is arranged to black level pixel, and binary image corresponding to output gray level image；Binary conversion treatment equipment is additionally operable to connecing
When receiving non-global threshold selection signal, for each pixel in gray level image, the upward distance of vertical direction is calculated
The gray value of the pixel of its 3 pixels calculates vertical direction downwards apart from its 3 pixels as upper grey scale pixel value
The gray value of pixel as lower grey scale pixel value, calculated level direction to the left apart from its 3 pixels pixel gray scale
Value be used as left grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel gray value as right pixel
Gray value, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are less than or equal to threshold data and left grey scale pixel value
When being less than or equal to threshold data with the absolute value of the difference of right grey scale pixel value, by for pixel be arranged to white level pixel
Point, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are more than threshold data or left grey scale pixel value and right pixel
When the absolute value of the difference of gray value is more than threshold data, by for pixel be arranged to black level pixel, and output gray level
Change binary image corresponding to image；Picture smooth treatment equipment, it is connected with binary conversion treatment equipment, for receiving binary picture
Picture, for each pixel in binary image, when the trip point of more than half in adjacent all pixels point be present,
Then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be arranged to white level pixel, and
Export smoothed image corresponding to binary image；Medium filtering equipment, it is connected with image balance processing equipment, it is smooth for receiving
Image, following processing is carried out to obtain filtering image as target pixel points for each pixel in smoothed image：With mesh
The centre of form for marking position filtration module alternatively of the pixel in smoothed image takes out multiple pixels in smoothed image
As multiple reference image vegetarian refreshments, maximum in the pixel value of multiple reference image vegetarian refreshments and minimum value are taken to be used as pixel maximum
And pixel minimum, the average value of pixel maximum and pixel minimum is determined using as pixel average, for each ginseng
Pixel is examined, if its pixel value is less than pixel average, its pixel value is replaced with 0, if its pixel value is more than or equal to picture
Plain average value, then retain its pixel value, finally using the average value of the pixel value of multiple reference image vegetarian refreshments as target pixel points
Pixel value exports；Sub-screen area detection device, it is arranged in the Background control room of arenas, 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 matched, and when its gray value is in default mobile terminal screen tonal range, determines that it is screen pixels point；
The region that all screen pixels points in filtering image form is split from filtering image to obtain each screen subgraph
Picture；For each screen subgraph, seat corresponding to the screen subgraph being directed to for its determination of position in filtering image
Bit number；Wherein, for screen subgraph corresponding to seat numbering be hold corresponding to the screen subgraph being directed to it is mobile eventually
Theatre seats numbering where the spectators at end；Wherein, the quantity of the pixel value pixel that the match is successful and content matching percentage
Relation is non-linear dependence.
More specifically, in the big data processing unit, in addition to：Mmc card, for storing default mobile terminal screen
Tonal range.
More specifically, in the big data processing unit, in addition to：User input equipment, it is connected, is used for mmc card
Operation based on user, input default mobile terminal screen tonal range.
More specifically, in the big data processing unit, in addition to：User input equipment is touch-screen or keyboard battle array
Row.
More specifically, in the big data processing unit, in addition to：The network of big data processing platform connection is mobile
Communication network.
More specifically, in the big data processing unit, in addition to：Mobile communications network is that 3G communication networks or 4G lead to
Communication network.
According to another aspect of the present invention, there is provided a kind of big data processing method, methods described are above-mentioned for building
Big data processing unit.
Brief description of the drawings
Embodiment of the present invention is described below with reference to accompanying drawing, wherein：
Fig. 1 is the block diagram of the big data processing unit according to embodiment of the present invention.
Reference：1 arenas content acquisition equipment；2 sub-screen area detection devices；3 Content analysis apparatus
Embodiment
The embodiment of the big data processing unit of the present invention is described in detail below with reference to accompanying drawings.
Early stage, substantial amounts of camera interference method mainly make use of the principle of imaging sensor response infrared ray.Moved to disturb
Move video camera and light is generated in the picture of shooting, infrared emitter is mounted in the cinema.Except those transmitters
Etc. extra cost and regular job expense, this scheme can be by enclosing appropriate filter on camera lens.It is but 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 unit, to auditorium
Image carries out electronic analysis, and electronic analysis is carried out to live performance environment, and carries out the person of taking on the sly based on two kinds of analysis results and judge,
In addition, the positional information also based on the person of taking on the sly is reminded the person of taking on the sly, so as to realize the oriented detection of the live person of taking on the sly of performance
Alerted with orientation.
Fig. 1 is the block diagram of the big data processing unit according to embodiment of the present invention, and described device includes
Arenas content acquisition equipment, sub-screen area detection device and Content analysis apparatus, Content analysis apparatus respectively with arenas content
Collecting device connects with sub-screen area detection device, for based on arenas content acquisition equipment and sub-screen area detection device
Output determine arenas with the presence or absence of taking on the sly behavior, wherein, sub-screen area detection device is on big data service platform.
Then, continue that the concrete structure of the big data processing unit of the present invention is further detailed.
Described device includes：Arenas content acquisition equipment, is arranged on theatrical stage opposite, for gathering theatrical stage in real time
On scene image using be used as real-time scene image output.
Described device includes：Content analysis apparatus, it is arranged in the Background control room of arenas, is examined respectively with sub-screen area
Measurement equipment connects with arenas content acquisition equipment, for receiving real-time scene image, is additionally operable to receive each screen subgraph
Seat numbering corresponding with its, each screen subgraph and real-time scene image are subjected to content matching to determine content matching
Percentage, when content matching percentage is more than or equal to preset percentage threshold value, seat numbering corresponding to screen subgraph is made
Number and export for targeted seat；Wherein, each screen subgraph and real-time scene image are carried out content by Content analysis apparatus
Match to determine that content matching percentage specifically includes：By each pixel in real-time scene image and each screen subgraph
Each pixel carry out pixel value matching, the quantity of the pixel value pixel that the match is successful is more, content corresponding to screen subgraph
Match-percentage is higher.
Described device includes：MSP430 single-chip microcomputers, it is arranged in the Background control room of arenas, connects with Content analysis apparatus
Connect, the driving control signal of targeted seat numbering is included for being sent based on targeted seat numbering；Remote control equipment, it is arranged on arenas
Roof position directly over stage, believe for being connected the drive control sent to receive MSP430 single-chip microcomputers with MSP430 single-chip microcomputers
Number, and driving control signal is parsed to determine that targeted seat is numbered, numbered based on targeted seat and determine remote signal.
Described device includes：Seat warning lamp, one is set on each spectators seat, for receiving remote signal with base
Feux rouges warning is carried out in remote signal；High-definition image collecting device, arenas roof middle position is arranged on, for theatrical stage
The auditorium on opposite carries out IMAQ to export high-definition image, and the resolution ratio of high-definition image is 3840 × 2160.
Described device includes：Big data service platform, positioned at distal end, with high-definition image collecting device by network connection,
For receiving high-definition image and high-definition image being handled.
Big data service platform includes：Gray processing processing equipment, including channel parameters extraction unit, weighted value memory cell
With gray value computing unit, channel parameters extraction unit is connected with high-definition image collecting device, for receiving high-definition image to carry
R passages pixel value, G passages pixel value and the channel B pixel value of each pixel in high-definition image are taken out, weighted value storage is single
Member is used to prestore R channel weightings value, G channel weightings value and channel B weighted value, gray value computing unit respectively with passage
Parameter extraction unit connects with weighted value memory cell, for each pixel in high-definition image, by R passages pixel value and R
The product of channel weighting value, the product of G passages pixel value and G channel weighting values and channel B pixel value and channel B weighted value
The gray value for the pixel that product addition is directed to obtaining, and the gray value based on each pixel in high-definition image obtains high definition
Gray level image corresponding to image；Wherein, R channel weightings value value is that 0.298839, G channel weighting value values are
0.586811, channel B weighted value value is 0.114350.
Big data service platform includes：Histogram distribution detection device, it is connected with gray processing processing equipment, for receiving ash
Degreeization image, and grey level histogram processing is carried out to gray level image to obtain corresponding histogram image, in histogram image
When bimodal distribution is presented, global threshold selection signal is sent, otherwise, sends non-global threshold selection signal.
Big data service platform includes：Threshold value selects equipment, is connected with histogram distribution detection device, for receiving
During global threshold selection signal, exported global threshold 128 as threshold data, receiving non-global threshold selection signal
When, exported neighbor pixel gray difference threshold 40 as threshold data.
Big data service platform includes：Binary conversion treatment equipment, equipment and histogram distribution is selected to detect with threshold value respectively
Equipment connects, for when receiving global threshold selection signal, for each pixel in gray level image, working as gray scale
Value is when being more than or equal to threshold data, by for pixel be arranged to white level pixel, when gray value is less than threshold data,
By for pixel be arranged to black level pixel, and binary image corresponding to output gray level image；Binary conversion treatment
Equipment is additionally operable to when receiving non-global threshold selection signal, for each pixel in gray level image, is calculated and is hung down
Nogata to upwards apart from its 3 pixels pixel gray value as upper grey scale pixel value, calculate vertical direction downwards away from
From its 3 pixels pixel gray value as lower grey scale pixel value, calculated level direction is to the left apart from its 3 pixels
Pixel gray value as left grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel ash
Angle value is as right grey scale pixel value, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value are 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 is when being less than or equal to threshold data, by for pixel set
For white level pixel, when upper grey scale pixel value and the absolute value of the difference of lower grey scale pixel value is more than threshold data or left pixel is grey
When the absolute value of angle value and the difference of right grey scale pixel value is more than threshold data, by for pixel be arranged to black level pixel
Point, and binary image corresponding to output gray level image.
Big data service platform includes：Picture smooth treatment equipment, it is connected with binary conversion treatment equipment, for receiving two-value
Change image, for each pixel in binary image, when the saltus step of more than half in adjacent all pixels point being present
During point, then by for the gray value of pixel retain, otherwise, by for the gray value of pixel be arranged to white level pixel
Point, and export smoothed image corresponding to binary image.
Big data service platform includes：Medium filtering equipment, it is connected with image balance processing equipment, for receiving smooth figure
Picture, following processing is carried out to obtain filtering image as target pixel points for each pixel in smoothed image：With target
The centre of form of the filtration module of position of the pixel in smoothed image alternatively is taken out multiple pixels in smoothed image and made
For multiple reference image vegetarian refreshments, take maximum in the pixel value of multiple reference image vegetarian refreshments and minimum value using as pixel maximum and
Pixel minimum, the average value of pixel maximum and pixel minimum is determined using as pixel average, for each reference
Pixel, if its pixel value is less than pixel average, its pixel value is replaced with 0, if its pixel value is more than or equal to pixel
Average value, then retain its pixel value, finally the picture using the average value of the pixel value of multiple reference image vegetarian refreshments as target pixel points
Element value output.
Described device includes：Sub-screen area detection device, it is arranged in the Background control room of arenas, is set with medium filtering
It is standby by network connection to obtain filtering image；For each pixel in filtering image, its gray value is moved with default
Dynamic terminal screen tonal range is matched, and when its gray value is in default mobile terminal screen tonal range, is determined that it is
Screen pixels point；The region that all screen pixels points in filtering image form is split from filtering image each to obtain
Individual screen subgraph；For each screen subgraph, the screen subgraph for determining to be directed to for its position in filtering image
Seat is numbered as corresponding to；Wherein, for screen subgraph corresponding to seat numbering be to hold the screen subgraph pair being directed to
Theatre seats numbering where the spectators for 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 the platform：Mmc card, for storing default mobile terminal screen tonal range；User's input is set
It is standby, it is connected with mmc card, for the operation based on user, inputs default mobile terminal screen tonal range；User input equipment is
Touch-screen or keyboard array；The network of big data processing platform connection is mobile communications network；Mobile communications network communicates for 3G
Network or 4G communication networks.
In addition, data are likened to the colliery for containing energy.Coal has coking coal, anthracite, rich coal, meager coal etc. according to property
Classification, and open coal mine, the excavating cost in remote mountains colliery are different.Similar, big data is not " big "
" useful ".Value content, excavating cost are more even more important than quantity.For many industries, how these extensive numbers are utilized
The key of competition is won according to being.
The value dimension of big data is in the following aspects：1) enterprise that a large amount of consumers are provided with product or service can be with
Precision marketing is carried out using big data；2) service transformation can be done using big data by doing the middle long-tail enterprise of small and U.S. pattern；3)
The traditional forms of enterprises that facing must make the transition under internet pressure needs to grow with each passing hour to make full use of the value of big data.
Can not be that taking on the sly for performance provides effective electronics for prior art using the big data processing unit of the present invention
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, right on the basis of above-mentioned analysis also by analyzing the environment at performance scene
The behavior of pirates shoot person carries out accurate detection and position identification in auditorium, finally takes aposematic mechanism to carry out electronics to the person of taking on the sly and carries
Wake up, so as to while avoiding disturbing other spectators to watch, effectively reduce the generation for behavior of taking on the sly.
It is understood that although the present invention is disclosed as above with preferred embodiment, but above-described embodiment and it is not used to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of change.Therefore, every content without departing from technical solution of the present invention, the technical spirit pair according to the present invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments, still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (3)
1. big data processing unit, described device includes arenas content acquisition equipment, sub-screen area detection device and content point
Desorption device, Content analysis apparatus is connected with arenas content acquisition equipment and sub-screen area detection device respectively, for based on play
The output of field content acquisition equipment and sub-screen area detection device determines arenas with the presence or absence of behavior of taking on the sly, wherein, sub-screen
Equipment for area detection equipment is on big data service platform.
2. big data processing unit 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 theatrical stage is gathered to make for real-time
Exported for real-time scene image；
Content analysis apparatus, be arranged in the Background control room of arenas, respectively with sub-screen area detection device and arenas content
Collecting device connects, and for receiving real-time scene image, is additionally operable to receive each screen subgraph seat volume corresponding with its
Number, each screen subgraph and real-time scene image are subjected to content matching to determine content matching percentage, when content
When component percentage is more than or equal to preset percentage threshold value, numbered using seat numbering corresponding to screen subgraph as targeted seat defeated
Go out；Wherein, each screen subgraph and real-time scene image are carried out content matching to determine content by Content analysis apparatus
Component percentage specifically includes：Each pixel in real-time scene image and each pixel of each screen subgraph are subjected to picture
Element value matching, the quantity of the pixel value pixel that the match is successful is more, and content matching percentage is higher corresponding to screen subgraph；
MSP430 single-chip microcomputers, it is arranged in the Background control room of arenas, is connected with Content analysis apparatus, for based on targeted seat
Numbering sends the driving control signal for including targeted seat numbering；
Remote control equipment, the roof position being arranged on directly over theatrical stage, for being connected with MSP430 single-chip microcomputers to receive
The driving control signal that MSP430 single-chip microcomputers are sent, and driving control signal is parsed to determine that targeted seat is numbered, base
Numbered in targeted seat and determine remote signal；
Seat warning lamp, one is set on each spectators seat, it is red to be carried out based on remote signal for receiving remote signal
Light warns；
High-definition image collecting device, arenas roof middle position is arranged on, for carrying out figure to the auditorium on theatrical stage opposite
As gathering to export high-definition image, the resolution ratio of high-definition image is 3840 × 2160；
Big data service platform, positioned at distal end, with high-definition image collecting device by network connection, for receiving high-definition image simultaneously
High-definition image is handled, big data service platform includes：
Gray processing processing equipment, including channel parameters extraction unit, weighted value memory cell and gray value computing unit, passage ginseng
Number extraction units are connected with high-definition image collecting device, for receiving high-definition image to extract each pixel in high-definition image
R passages pixel value, G passages pixel value and the channel B pixel value of point, weighted value memory cell add for having prestored R passages
Weights, G channel weightings value and channel B weighted value, gray value computing unit are deposited with channel parameters extraction unit and weighted value respectively
Storage unit connects, for each pixel in high-definition image, by the product of R passages pixel value and R channel weighting values, G passages
The picture that pixel value is directed to the product and channel B pixel value of G channel weighting values and the product addition of channel B weighted value with obtaining
The gray value of vegetarian refreshments, and the gray value based on each pixel in high-definition image obtains gray level image corresponding to high-definition image；
Wherein, R channel weightings value value is that 0.298839, G channel weighting values value is 0.586811, and channel B weighted value value is
0.114350；
Histogram distribution detection device, it is connected with gray processing processing equipment, for receiving gray level image, and to gray level image
Grey level histogram processing is carried out to obtain corresponding histogram image, when bimodal distribution is presented in histogram image, sends the overall situation
Threshold value selection signal, otherwise, send non-global threshold selection signal；
Threshold value selects equipment, is connected with histogram distribution detection device, complete for when receiving global threshold selection signal, inciting somebody to action
Office's threshold value 128 exports as threshold data, when receiving non-global threshold selection signal, by neighbor pixel gray difference threshold
40 export as threshold data；
Binary conversion treatment equipment, equipment and histogram distribution detection device is selected to be connected with threshold value respectively, for receiving entirely
,, will when gray value is more than or equal to threshold data for each pixel in gray level image during office's threshold value selection signal
For pixel be arranged to white level pixel, when gray value is less than threshold data, by for pixel be arranged to black
Level pixel point, and binary image corresponding to output gray level image；Binary conversion treatment equipment be additionally operable to receive it is non-complete
During office's threshold value selection signal, for each pixel in gray level image, vertical direction is calculated upwards apart from its 3 pixels
The gray value of the pixel of point calculates vertical direction downwards apart from the pixel of its 3 pixels as upper grey scale pixel value
Gray value is used as left apart from the gray value of the pixel of its 3 pixels to the left as lower grey scale pixel value, calculated level direction
Grey scale pixel value, calculated level direction to the right apart from its 3 pixels pixel gray value 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
When the absolute value of the difference of gray value is less than or equal to threshold data, by for pixel be arranged to white level pixel, when upper picture
The absolute value of the difference of plain gray value and lower grey scale pixel value be more than threshold data or left grey scale pixel value and right grey scale pixel value it
The absolute value of difference is when being more than threshold data, by for pixel be arranged to black level pixel, and output gray level image pair
The binary image answered；
Picture smooth treatment equipment, it is connected with binary conversion treatment equipment, for receiving binary image, in binary image
Each pixel, when more than half trip point in adjacent all pixels point being present, then by for pixel
Gray value retains, otherwise, by for the gray value of pixel be arranged to white level pixel, and it is corresponding to export binary image
Smoothed image；
Medium filtering equipment, be connected with image balance processing equipment, for receiving smoothed image, in smoothed image each
Pixel carries out following processing to obtain filtering image as target pixel points：With position of the target pixel points in smoothed image
The centre of form of filtration module alternatively takes out multiple pixels as multiple reference image vegetarian refreshments in smoothed image, takes multiple ginsengs
Maximum in the pixel value of pixel and minimum value are examined as pixel maximum and pixel minimum, to determine pixel maximum
With the average value of pixel minimum using as pixel average, for each reference image vegetarian refreshments, if its pixel value is less than picture
Plain average value, then its pixel value is replaced with 0, if its pixel value is more than or equal to pixel average, retain its pixel value, finally
Exported the average value of the pixel value of multiple reference image vegetarian refreshments as the pixel value of target pixel points；
Sub-screen area detection device, be arranged in the Background control room of arenas, with medium filtering equipment by network connection with
Obtain filtering image；For each pixel in filtering image, by its gray value and default mobile terminal screen gray scale model
Enclose and matched, 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 is split from filtering image to obtain each screen subgraph；For
Each screen subgraph, seat corresponding to the screen subgraph for determining to be directed to for its position in filtering image are numbered；
Wherein, for screen subgraph corresponding to seat numbering be the spectators that hold mobile terminal corresponding to the screen subgraph being directed to
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 are non-linear dependences；
The network of big data processing platform connection is mobile communications network；
Mobile communications network is 3G communication networks or 4G communication networks.
3. a kind of big data processing method, methods described is used to build big data processing unit as claimed in claim 2.
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| CN109087275A (en) * | 2018-03-21 | 2018-12-25 | 杨娟 | Computer estimation method |
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| 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 |
| 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 |
| 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 |
| CN108960346B (en) * | 2018-08-09 | 2019-05-10 | 湖北汇宜建设工程有限公司 | Building similarity analysis platform |
| 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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