CN109165600A - Stage performance personnel's intelligent search platform - Google Patents
Stage performance personnel's intelligent search platform Download PDFInfo
- Publication number
- CN109165600A CN109165600A CN201810978897.3A CN201810978897A CN109165600A CN 109165600 A CN109165600 A CN 109165600A CN 201810978897 A CN201810978897 A CN 201810978897A CN 109165600 A CN109165600 A CN 109165600A
- Authority
- CN
- China
- Prior art keywords
- image
- equipment
- component value
- connect
- stage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of stage performance personnel intelligent search platforms, comprising: bluetooth communication interface is connect with the Bluetooth communication equipment of the control room of upstage, locating personnel's number of the Bluetooth communication equipment wireless transmission of the control room for receiving the upstage;MMC stores equipment, and for bodily form feature database to be stored in advance, the bodily form feature database saves each locating personnel and numbers corresponding personnel's bodily form feature;Number mapped device is connect with the bluetooth communication interface and MMC storage equipment respectively, for searching corresponding personnel's bodily form feature from the bodily form feature database to export as target bodily form feature based on locating personnel number;Video capture equipment captures image for being shot towards stage to export stage.By means of the invention it is possible to quickly, accurately carry out live positioning to each stage performance personnel.
Description
Technical field
The present invention relates to stage personnel positioning field more particularly to a kind of stage performance personnel intelligent search platforms.
Background technique
Blue violet light is used in stage personnel positioning, and advantage has: temperature control, driving and laser are fully-integrated, and structure is small
Skilful compact, outside only needs direct current supply;By high/low temperature storage and vibratory impulse test, has and reliably stablize, environment temperature
It, can 24 continuous throughout the twenty-four hour24s in -15~45 degree of ranges;Have the function of that number determines modulation function and analog-modulated;The heat dissipation of redundancy
Design, bidirectional temperature control and perfect Double-direction Temperature defencive function, it is ensured that wide operating temperature range is sharp without will affect
The service life of light device.
Summary of the invention
In order to solve to work as the technical issues of apron personnel positioning precision can not meet field demand, the present invention provides one
Kind stage performance personnel intelligent search platform is showed based on the Location Request that remote equipment is sent using image analysis mode
The personal identification of field picture, live location data is returned to remote equipment based on recognition result, to realize to scene
The intelligent search of performance personnel;The dynamics that enhancing processing is executed to image to be processed is determined based on signal noise ratio (snr) of image, to improve
The automation level of image enhancement processing;The various noise types in image are obtained, pre-stored type weight pair is based on
The weighing factor to binarization threshold is determined according to table, and the orientation of binarization threshold is corrected to realize;According to capture image with
The matching result of background image is determined and captures the direction that shooting angle is preset in image shift, and set based on offset direction to candid photograph
It is standby to carry out corresponding drive control operation, realize the automation playback for capturing equipment shooting direction.
According to an aspect of the present invention, a kind of stage performance personnel intelligent search platform is provided, the platform includes:
Bluetooth communication interface is connect with the Bluetooth communication equipment of the control room of upstage, after receiving the stage
Locating personnel's number of the Bluetooth communication equipment wireless transmission of the control room of side;
MMC stores equipment, and for bodily form feature database to be stored in advance, the bodily form feature database saves each locating personnel
Number corresponding personnel's bodily form feature.
More specifically, in the stage performance personnel intelligent search platform, further includes:
Number mapped device is connect, for based on described respectively with the bluetooth communication interface and MMC storage equipment
Locating personnel's number searches corresponding personnel's bodily form feature to export as target bodily form feature from the bodily form feature database;
Video capture equipment captures image for being shot towards stage to export stage.
More specifically, in the stage performance personnel intelligent search platform, further includes:
SDRAM store equipment, for be stored in advance described image capture equipment setting shooting direction reference background figure with
And left side Background and right side Background;
Wherein, the reference background figure is the without motion that described image captures that equipment is shot according to setting shooting direction in advance
The image of target, the left side Background are to shoot after described image candid photograph equipment deviates according to setting shooting direction left side in advance
Without motion target image, the right side Background be described image capture equipment in advance according to setting shooting direction on the right side of partially
The image of without motion target from rear shooting.
More specifically, in the stage performance personnel intelligent search platform, further includes:
Mean analysis equipment, captures equipment with described image respectively and SDRAM storage equipment is connect, for receiving
It states stage and captures image, the reference background figure, the left side Background and the right side Background, the stage is captured and is schemed
The red color component value of all pixels point of picture carries out operation of averaging, to obtain operating result using as target component value, to institute
The red color component value for stating all pixels point of reference background figure carries out operation of averaging, to obtain operating result to divide as background
Magnitude carries out operation of averaging to the red color component value of all pixels point of the left side Background, with obtain operating result with
As left-side component value, operation of averaging is carried out to the red color component value of all pixels point of the right side Background, to obtain
Operating result is using as right-side component value;
Mean match equipment is connect with the mean analysis equipment, for receiving the target component value, the background point
Magnitude, the left-side component value and the right-side component value, calculate the difference of the target component value and the background component value
Value, when the difference transfinites, issue direction change signal, and by the target component value respectively with the left-side component value and
Right-side component value matching, when be greater than the matching degree with the right-side component value with the matching degree of the left-side component value
When, left-hand shifted signal is issued, when being less than or equal to the right-side component value with the matching degree of the left-side component value
When with spending, dextrad shifted signal is issued;
Driving motor is captured equipment with the mean match equipment and described image respectively and is connect, for receiving
When stating left-hand shifted signal, driving described image is captured equipment and is deflected to the right, is also used to receiving the dextrad offset letter
Number when, driving described image capture device left lateral deviation turn;
Noise type detection device is captured equipment with described image and is connect, and image is captured for receiving the stage, to institute
State stage and capture image and carry out noise type analysis, with obtain the stage capture in image various noise types and each
The corresponding maximum amplitude of noise type;
Noise amplitude measuring device is connect with the noise type detection device, captures image for receiving the stage
In various noise types and the corresponding maximum amplitude of each noise type, the sequence from big to small based on maximum amplitude is right
The various noise types are ranked up, and using serial number, first three three kinds of noise types are exported as three kinds of noise types to be processed;
Initial value extract equipment is connect, for obtaining the initialization binarization threshold with SDRAM storage equipment;
Initial value corrective is connect, for connecing respectively with the initial value extract equipment and the noise amplitude measuring device
Three kinds of noise types to be processed are received, determine that described three kinds noise types to be processed are distinguished based on the type weight table of comparisons
Corresponding three weighing factors, and repairing in order is carried out to the initialization binarization threshold using three weighing factors
Positive processing, to obtain the amendment threshold value after correcting process, and exports the amendmentization threshold value;
Threshold value executes equipment, connect with the initial value corrective, is captured using the amendmentization threshold value to the stage
Image executes binary conversion treatment, with image after being handled, and exports image after the processing;
Recursive filtering equipment executes equipment with the threshold value and connect, for receiving image after the processing, to the processing
Image executes recursive filtering processing afterwards, to obtain corresponding filtering processing image, and exports the filtering processing image;
Analysis signal-to-noise ratio (SNR) equipment is connect with the recursive filtering equipment, for receiving the filtering processing image, to described
The analysis that image carries out signal noise ratio (snr) of image is filtered, to obtain the corresponding signal noise ratio (snr) of image of the filtering processing image, and it is defeated
Described image signal-to-noise ratio out;
Scene enhancing equipment, connect, for receiving described image signal-to-noise ratio and the filter with the Analysis signal-to-noise ratio (SNR) equipment
Wave handles image, and the dynamics that enhancing processing is executed to the filtering processing image is determined according to the size of described image signal-to-noise ratio,
Described image signal-to-noise ratio is bigger, and the dynamics for executing enhancing processing is smaller, and exports and execute at enhancing to the filtering processing image
The scene enhancing image obtained after reason;
Target positioning device is connect with the scene enhancing equipment, for receiving the scene enhancing image, with the volume
Number mapped device is matched from the scene enhancing image to receive the target bodily form feature, based on the target bodily form feature
Corresponding human body pattern out, and based on the opposite scene corresponding with the scene enhancing position sending of image of the human body pattern
Location data.
More specifically, in the stage performance personnel intelligent search platform: the bluetooth communication interface also with the mesh
Positioning device connection is marked, for receiving the live location data, and after the live location data is wirelessly sent to stage
The Bluetooth communication equipment of the control room of side.
More specifically, in the stage performance personnel intelligent search platform: SDRAM storage equipment also respectively with institute
It states initial value corrective to connect with threshold value execution equipment, for storing the amendmentization threshold value.
More specifically, in the stage performance personnel intelligent search platform: the SDRAM storage equipment is also used in advance
Store the initialization binarization threshold.
More specifically, in the stage performance personnel intelligent search platform:
The SDRAM storage equipment is also used to be stored in advance the type weight table of comparisons;
Wherein, the type weight table of comparisons saves each kind noise type to the weighing factor of binarization threshold.
Specific embodiment
The embodiment of stage performance personnel's intelligent search platform of the invention will be described in detail below.
Stage personnel positioning is set to realize essentially by blue violet light.Pump stain Pu is used as using not laser diode is partly led
Source, conventional class design maximum power output is 10 watts.Such laser is using semiconductor side pumped, output power height, service life
Long, convenient for safeguarding, built-in circulating water is stablized with laser to be exported, can long time continuous working.
In order to overcome above-mentioned deficiency, the present invention has built a kind of stage performance personnel intelligent search platform, can effectively solve
Certainly corresponding technical problem.
The stage performance personnel's intelligent search platform shown according to an embodiment of the present invention includes:
Bluetooth communication interface is connect with the Bluetooth communication equipment of the control room of upstage, after receiving the stage
Locating personnel's number of the Bluetooth communication equipment wireless transmission of the control room of side;
MMC stores equipment, and for bodily form feature database to be stored in advance, the bodily form feature database saves each locating personnel
Number corresponding personnel's bodily form feature.
Then, continue to carry out further the specific structure of stage performance personnel's intelligent search platform of the invention
It is bright.
In the stage performance personnel intelligent search platform, further includes:
Number mapped device is connect, for based on described respectively with the bluetooth communication interface and MMC storage equipment
Locating personnel's number searches corresponding personnel's bodily form feature to export as target bodily form feature from the bodily form feature database;
Video capture equipment captures image for being shot towards stage to export stage.
In the stage performance personnel intelligent search platform, further includes:
SDRAM store equipment, for be stored in advance described image capture equipment setting shooting direction reference background figure with
And left side Background and right side Background;
Wherein, the reference background figure is the without motion that described image captures that equipment is shot according to setting shooting direction in advance
The image of target, the left side Background are to shoot after described image candid photograph equipment deviates according to setting shooting direction left side in advance
Without motion target image, the right side Background be described image capture equipment in advance according to setting shooting direction on the right side of partially
The image of without motion target from rear shooting.
In the stage performance personnel intelligent search platform, further includes:
Mean analysis equipment, captures equipment with described image respectively and SDRAM storage equipment is connect, for receiving
It states stage and captures image, the reference background figure, the left side Background and the right side Background, the stage is captured and is schemed
The red color component value of all pixels point of picture carries out operation of averaging, to obtain operating result using as target component value, to institute
The red color component value for stating all pixels point of reference background figure carries out operation of averaging, to obtain operating result to divide as background
Magnitude carries out operation of averaging to the red color component value of all pixels point of the left side Background, with obtain operating result with
As left-side component value, operation of averaging is carried out to the red color component value of all pixels point of the right side Background, to obtain
Operating result is using as right-side component value;
Mean match equipment is connect with the mean analysis equipment, for receiving the target component value, the background point
Magnitude, the left-side component value and the right-side component value, calculate the difference of the target component value and the background component value
Value, when the difference transfinites, issue direction change signal, and by the target component value respectively with the left-side component value and
Right-side component value matching, when be greater than the matching degree with the right-side component value with the matching degree of the left-side component value
When, left-hand shifted signal is issued, when being less than or equal to the right-side component value with the matching degree of the left-side component value
When with spending, dextrad shifted signal is issued;
Driving motor is captured equipment with the mean match equipment and described image respectively and is connect, for receiving
When stating left-hand shifted signal, driving described image is captured equipment and is deflected to the right, is also used to receiving the dextrad offset letter
Number when, driving described image capture device left lateral deviation turn;
Noise type detection device is captured equipment with described image and is connect, and image is captured for receiving the stage, to institute
State stage and capture image and carry out noise type analysis, with obtain the stage capture in image various noise types and each
The corresponding maximum amplitude of noise type;
Noise amplitude measuring device is connect with the noise type detection device, captures image for receiving the stage
In various noise types and the corresponding maximum amplitude of each noise type, the sequence from big to small based on maximum amplitude is right
The various noise types are ranked up, and using serial number, first three three kinds of noise types are exported as three kinds of noise types to be processed;
Initial value extract equipment is connect, for obtaining the initialization binarization threshold with SDRAM storage equipment;
Initial value corrective is connect, for connecing respectively with the initial value extract equipment and the noise amplitude measuring device
Three kinds of noise types to be processed are received, determine that described three kinds noise types to be processed are distinguished based on the type weight table of comparisons
Corresponding three weighing factors, and repairing in order is carried out to the initialization binarization threshold using three weighing factors
Positive processing, to obtain the amendment threshold value after correcting process, and exports the amendmentization threshold value;
Threshold value executes equipment, connect with the initial value corrective, is captured using the amendmentization threshold value to the stage
Image executes binary conversion treatment, with image after being handled, and exports image after the processing;
Recursive filtering equipment executes equipment with the threshold value and connect, for receiving image after the processing, to the processing
Image executes recursive filtering processing afterwards, to obtain corresponding filtering processing image, and exports the filtering processing image;
Analysis signal-to-noise ratio (SNR) equipment is connect with the recursive filtering equipment, for receiving the filtering processing image, to described
The analysis that image carries out signal noise ratio (snr) of image is filtered, to obtain the corresponding signal noise ratio (snr) of image of the filtering processing image, and it is defeated
Described image signal-to-noise ratio out;
Scene enhancing equipment, connect, for receiving described image signal-to-noise ratio and the filter with the Analysis signal-to-noise ratio (SNR) equipment
Wave handles image, and the dynamics that enhancing processing is executed to the filtering processing image is determined according to the size of described image signal-to-noise ratio,
Described image signal-to-noise ratio is bigger, and the dynamics for executing enhancing processing is smaller, and exports and execute at enhancing to the filtering processing image
The scene enhancing image obtained after reason;
Target positioning device is connect with the scene enhancing equipment, for receiving the scene enhancing image, with the volume
Number mapped device is matched from the scene enhancing image to receive the target bodily form feature, based on the target bodily form feature
Corresponding human body pattern out, and based on the opposite scene corresponding with the scene enhancing position sending of image of the human body pattern
Location data.
In the stage performance personnel intelligent search platform: the bluetooth communication interface also with the target positioning device
The live location data for receiving the live location data, and is wirelessly sent to the control room of upstage by connection
Bluetooth communication equipment.
In the stage performance personnel intelligent search platform: the SDRAM storage equipment is also repaired with the initial value respectively
Positive equipment executes equipment with the threshold value and connects, for storing the amendmentization threshold value.
In the stage performance personnel intelligent search platform: the SDRAM storage equipment is also used to be stored in advance described
Initialize binarization threshold.
And in the stage performance personnel intelligent search platform:
The SDRAM storage equipment is also used to be stored in advance the type weight table of comparisons;
Wherein, the type weight table of comparisons saves each kind noise type to the weighing factor of binarization threshold.
In addition, bluetooth (Bluetooth): being a kind of wireless technology standard, it can be achieved that fixed equipment, mobile device and building
Short-range data exchange (using the UHF radio wave of the ISM band of 2.4-2.485GHz) between personal area network.Bluetooth skill
Art was initially formulated by telecommunications giant Ericsson in 1994, was the alternative solution as RS232 data line at that time.Bluetooth can
Multiple equipment is connected, the synchronous problem of data is overcome.
Nowadays bluetooth is managed by bluetooth sig (Bluetooth Special Interest Group, abbreviation SIG).
Bluetooth sig has more than 25,000 member company in the whole world, they are distributed in telecommunications, computer, network and consumption
The multiple field such as electronics.Bluetooth technology is classified as IEEE 802.15.1 by IEEE, but nowadays no longer maintains the standard.Bluetooth skill
Art alliance is responsible for supervising the exploitation of Bluetooth specification, administrative authentication project, and safeguards trademark right.The equipment of manufacturer has to comply with
The standard of bluetooth sig could enter market with the name of " bluetooth equipment ".Bluetooth technology possesses a set of patent network, can
It is issued to standard compliant equipment.
Using stage performance personnel's intelligent search platform of the invention, not for stage personnel positioning precision in the prior art
The technical problem of foot is known based on the Location Request that remote equipment is sent using the personnel that image analysis mode carries out live image
Not, live location data is returned to remote equipment based on recognition result, to realize the intelligence to live performance personnel
Search;The dynamics that enhancing processing is executed to image to be processed is determined based on signal noise ratio (snr) of image, to improve image enhancement processing
Automation level;The various noise types in image are obtained, are determined based on the pre-stored type weight table of comparisons to two-value
Change the weighing factor of threshold value, the orientation of binarization threshold is corrected to realize;According to the matching for capturing image and background image
The direction that shooting angle is preset in image shift is captured as a result, determining, and is driven accordingly based on offset direction to equipment is captured
Dynamic control operation realizes the automation playback for capturing equipment shooting direction, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are 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 variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (8)
1. a kind of stage performance personnel intelligent search platform, comprising:
Bluetooth communication interface is connect with the Bluetooth communication equipment of the control room of upstage, for receiving the upstage
Locating personnel's number of the Bluetooth communication equipment wireless transmission of control room;
MMC stores equipment, and for bodily form feature database to be stored in advance, the bodily form feature database saves each locating personnel number
Corresponding personnel's bodily form feature.
2. stage performance personnel intelligent search platform as described in claim 1, which is characterized in that the platform further include:
Number mapped device is connect, for being based on the positioning respectively with the bluetooth communication interface and MMC storage equipment
Person number searches corresponding personnel's bodily form feature to export as target bodily form feature from the bodily form feature database;
Video capture equipment captures image for being shot towards stage to export stage.
3. stage performance personnel intelligent search platform as claimed in claim 2, which is characterized in that the platform further include:
SDRAM stores equipment, and reference background figure and the left side of equipment setting shooting direction are captured for described image to be stored in advance
Side Background and right side Background;
Wherein, the reference background figure is the without motion target that described image captures that equipment is shot according to setting shooting direction in advance
Image, the left side Background is that described image captures equipment in advance according to the nothing that shoots after deviateing on the left of setting shooting direction
The image of moving target, the right side Background are after described image candid photograph equipment deviates according to setting shooting direction right side in advance
The image of the without motion target of shooting.
4. stage performance personnel intelligent search platform as claimed in claim 3, which is characterized in that the platform further include:
Mean analysis equipment, captures equipment with described image respectively and SDRAM storage equipment is connect, for receiving the dance
Platform captures image, the reference background figure, the left side Background and the right side Background, captures image to the stage
The red color component value of all pixels point carries out operation of averaging, to obtain operating result using as target component value, to the base
The red color component value of all pixels point of quasi- Background carries out operation of averaging, to obtain operating result using as background component
Value, carries out operation of averaging to the red color component value of all pixels point of the left side Background, to obtain operating result to make
For left-side component value, operation of averaging is carried out to the red color component value of all pixels point of the right side Background, to obtain behaviour
Make result using as right-side component value;
Mean match equipment is connect with the mean analysis equipment, for receiving the target component value, the background component
Value, the left-side component value and the right-side component value, calculate the difference of the target component value and the background component value,
When the difference transfinites, issue direction change signal, and by the target component value respectively with the left-side component value and institute
The matching of right-side component value is stated, when with the matching degree with the right-side component value is greater than with the matching degree of the left-side component value,
Left-hand shifted signal is issued, when being less than or equal to matching degree with the right-side component value with the matching degree of the left-side component value
When, issue dextrad shifted signal;
Driving motor is captured equipment with the mean match equipment and described image respectively and is connect, for receiving the left side
When to shifted signal, driving described image is captured equipment and is deflected to the right, is also used to when receiving the dextrad shifted signal,
It drives described image to capture device left lateral deviation to turn;
Noise type detection device is captured equipment with described image and is connect, and image is captured for receiving the stage, to the dance
Platform captures image and carries out noise type analysis, captures various noise types and each noise in image to obtain the stage
The corresponding maximum amplitude of type;
Noise amplitude measuring device is connect with the noise type detection device, is captured in image respectively for receiving the stage
Kind noise type and the corresponding maximum amplitude of each noise type, the sequence from big to small based on maximum amplitude is to described
Various noise types are ranked up, and using serial number, first three three kinds of noise types are exported as three kinds of noise types to be processed;
Initial value extract equipment is connect, for obtaining the initialization binarization threshold with SDRAM storage equipment;
Initial value corrective is connect, for receiving respectively with the initial value extract equipment and the noise amplitude measuring device
Three kinds of noise types to be processed are stated, determine that three kinds of noise types to be processed respectively correspond based on the type weight table of comparisons
Three weighing factors, and Corrections Division in order is carried out to the initialization binarization threshold using three weighing factors
Reason, to obtain the amendment threshold value after correcting process, and exports the amendmentization threshold value;
Threshold value executes equipment, connect with the initial value corrective, captures image to the stage using the amendmentization threshold value
Binary conversion treatment is executed, with image after being handled, and exports image after the processing;
Recursive filtering equipment executes equipment with the threshold value and connect, for receiving image after the processing, to scheming after the processing
As executing recursive filtering processing, to obtain corresponding filtering processing image, and the filtering processing image is exported;
Analysis signal-to-noise ratio (SNR) equipment is connect with the recursive filtering equipment, for receiving the filtering processing image, to the filtering
The analysis that image carries out signal noise ratio (snr) of image is handled, to obtain the corresponding signal noise ratio (snr) of image of the filtering processing image, and exports institute
State signal noise ratio (snr) of image;
Scene enhancing equipment, connect, for receiving at described image signal-to-noise ratio and the filtering with the Analysis signal-to-noise ratio (SNR) equipment
Image is managed, the dynamics for executing enhancing processing to the filtering processing image is determined according to the size of described image signal-to-noise ratio, it is described
Signal noise ratio (snr) of image is bigger, and the dynamics for executing enhancing processing is smaller, and exports to after filtering processing image execution enhancing processing
The scene enhancing image of acquisition;
Target positioning device is connect with the scene enhancing equipment, for receiving the scene enhancing image, is reflected with the number
Jet device matches phase from the scene enhancing image to receive the target bodily form feature, based on the target bodily form feature
The human body pattern answered, and positioned based on the opposite scene corresponding with the scene enhancing position sending of image of the human body pattern
Data.
5. stage performance personnel intelligent search platform as claimed in claim 4, it is characterised in that:
The bluetooth communication interface is also connect with the target positioning device, for receiving the live location data, and by institute
State the Bluetooth communication equipment that live location data is wirelessly sent to the control room of upstage.
6. stage performance personnel intelligent search platform as claimed in claim 5, it is characterised in that:
The SDRAM storage equipment also executes equipment with the initial value corrective and the threshold value respectively and connect, for storing
The amendmentization threshold value.
7. stage performance personnel intelligent search platform as claimed in claim 6, it is characterised in that:
The SDRAM storage equipment is also used to be stored in advance the initialization binarization threshold.
8. stage performance personnel's intelligent search platform as described in claim 4-7 is any, it is characterised in that:
The SDRAM storage equipment is also used to be stored in advance the type weight table of comparisons;
Wherein, the type weight table of comparisons saves each kind noise type to the weighing factor of binarization threshold.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810978897.3A CN109165600B (en) | 2018-08-27 | 2018-08-27 | Intelligent search platform for stage performance personnel |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810978897.3A CN109165600B (en) | 2018-08-27 | 2018-08-27 | Intelligent search platform for stage performance personnel |
Publications (2)
Publication Number | Publication Date |
---|---|
CN109165600A true CN109165600A (en) | 2019-01-08 |
CN109165600B CN109165600B (en) | 2021-11-26 |
Family
ID=64896947
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810978897.3A Active CN109165600B (en) | 2018-08-27 | 2018-08-27 | Intelligent search platform for stage performance personnel |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109165600B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110636465A (en) * | 2019-04-03 | 2019-12-31 | 靳爱丛 | Local area network information sending platform |
CN110758646A (en) * | 2019-11-07 | 2020-02-07 | 陈嘉琴 | Container ship |
CN110766905A (en) * | 2019-11-07 | 2020-02-07 | 陈嘉琴 | Smoke temperature detector with monitor |
CN110901407A (en) * | 2019-11-07 | 2020-03-24 | 陈嘉琴 | Electric automobile |
CN110901513A (en) * | 2019-11-07 | 2020-03-24 | 陈嘉琴 | Household automobile |
CN111639511A (en) * | 2019-09-26 | 2020-09-08 | 窦翠云 | Stage effect field recognition system and method |
CN112347847A (en) * | 2020-09-27 | 2021-02-09 | 浙江大丰实业股份有限公司 | Automatic positioning system for stage safety monitoring |
Citations (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1941850A (en) * | 2005-09-29 | 2007-04-04 | 中国科学院自动化研究所 | Pedestrian tracting method based on principal axis marriage under multiple vedio cameras |
CN101147159A (en) * | 2005-02-21 | 2008-03-19 | 三菱电机株式会社 | Fast method of object detection by statistical template matching |
US20080240505A1 (en) * | 2007-03-30 | 2008-10-02 | Aisin Aw Co., Ltd. | Feature information collecting apparatuses, methods, and programs |
CN101452292A (en) * | 2008-12-29 | 2009-06-10 | 天津理工大学 | Fish glasses head omnidirectional vision aiming method based on sequence dual-color dot matrix type navigation mark |
CN101520896A (en) * | 2009-03-30 | 2009-09-02 | 中国电子科技集团公司第十研究所 | Method for automatically detecting cloud interfering naval vessel target by optical remote sensing image |
CN101635835A (en) * | 2008-07-25 | 2010-01-27 | 深圳市信义科技有限公司 | Intelligent video monitoring method and system thereof |
CN101957920A (en) * | 2010-09-08 | 2011-01-26 | 中国人民解放军国防科学技术大学 | Vehicle license plate searching method based on digital videos |
CN101964873A (en) * | 2009-07-21 | 2011-02-02 | 株式会社尼康 | Image processing device, image processing program, and imaging device |
CN102096823A (en) * | 2011-02-12 | 2011-06-15 | 厦门大学 | Face detection method based on Gaussian model and minimum mean-square deviation |
CN102663760A (en) * | 2012-04-23 | 2012-09-12 | 苏州大学 | Location and segmentation method for windshield area of vehicle in images |
CN102831580A (en) * | 2012-07-17 | 2012-12-19 | 西安电子科技大学 | Method for restoring image shot by cell phone based on motion detection |
CN103440667A (en) * | 2013-07-19 | 2013-12-11 | 杭州师范大学 | Automatic device for stably tracing moving targets under shielding states |
CN103617632A (en) * | 2013-11-19 | 2014-03-05 | 浙江工业大学 | Moving target detection method with adjacent frame difference method and Gaussian mixture models combined |
US20140139660A1 (en) * | 2012-11-21 | 2014-05-22 | Pelco, Inc. | Method and Apparatus for Detecting People by a Surveillance System |
CN103975342A (en) * | 2012-01-12 | 2014-08-06 | 柯法克斯公司 | Systems and methods for mobile image capture and processing |
US20140219499A1 (en) * | 2009-02-18 | 2014-08-07 | Lucasfilm Entertainment Company Ltd. | Visual tracking framework |
CN104331910A (en) * | 2014-11-24 | 2015-02-04 | 沈阳建筑大学 | Track obstacle detection system based on machine vision |
CN104637237A (en) * | 2015-01-19 | 2015-05-20 | 无锡桑尼安科技有限公司 | Flashlight warning method for stage of zoo |
CN104751157A (en) * | 2013-12-31 | 2015-07-01 | 中核控制系统工程有限公司 | FPGA (Field Programmable Gate Array)-based detection tracking method |
US20160202757A1 (en) * | 2015-01-09 | 2016-07-14 | Microsoft Technology Licensing, Llc | Gaze detection offset for gaze tracking models |
CN105809138A (en) * | 2016-03-15 | 2016-07-27 | 武汉大学 | Road warning mark detection and recognition method based on block recognition |
US20160363653A1 (en) * | 2014-12-30 | 2016-12-15 | Huazhong University Of Science And Technology | Above-ground building recognition method and navigation method combining laser and infrared |
CN106339687A (en) * | 2016-08-30 | 2017-01-18 | 吉林大学 | Self-adaptive pedestrian street-crossing signal calculating method based on video |
CN106778704A (en) * | 2017-01-23 | 2017-05-31 | 安徽理工大学 | A kind of recognition of face matching process and semi-automatic face matching system |
CN107481269A (en) * | 2017-08-08 | 2017-12-15 | 西安科技大学 | A kind of mine multi-cam moving target continuous tracking method |
CN107766821A (en) * | 2017-10-23 | 2018-03-06 | 江苏鸿信系统集成有限公司 | All the period of time vehicle detecting and tracking method and system in video based on Kalman filtering and deep learning |
CN108259705A (en) * | 2018-03-29 | 2018-07-06 | 吴英 | Intelligent image scene filtering system |
-
2018
- 2018-08-27 CN CN201810978897.3A patent/CN109165600B/en active Active
Patent Citations (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101147159A (en) * | 2005-02-21 | 2008-03-19 | 三菱电机株式会社 | Fast method of object detection by statistical template matching |
CN1941850A (en) * | 2005-09-29 | 2007-04-04 | 中国科学院自动化研究所 | Pedestrian tracting method based on principal axis marriage under multiple vedio cameras |
US20080240505A1 (en) * | 2007-03-30 | 2008-10-02 | Aisin Aw Co., Ltd. | Feature information collecting apparatuses, methods, and programs |
CN101635835A (en) * | 2008-07-25 | 2010-01-27 | 深圳市信义科技有限公司 | Intelligent video monitoring method and system thereof |
CN101452292A (en) * | 2008-12-29 | 2009-06-10 | 天津理工大学 | Fish glasses head omnidirectional vision aiming method based on sequence dual-color dot matrix type navigation mark |
US20140219499A1 (en) * | 2009-02-18 | 2014-08-07 | Lucasfilm Entertainment Company Ltd. | Visual tracking framework |
CN101520896A (en) * | 2009-03-30 | 2009-09-02 | 中国电子科技集团公司第十研究所 | Method for automatically detecting cloud interfering naval vessel target by optical remote sensing image |
CN101964873A (en) * | 2009-07-21 | 2011-02-02 | 株式会社尼康 | Image processing device, image processing program, and imaging device |
CN101957920A (en) * | 2010-09-08 | 2011-01-26 | 中国人民解放军国防科学技术大学 | Vehicle license plate searching method based on digital videos |
CN102096823A (en) * | 2011-02-12 | 2011-06-15 | 厦门大学 | Face detection method based on Gaussian model and minimum mean-square deviation |
CN103975342A (en) * | 2012-01-12 | 2014-08-06 | 柯法克斯公司 | Systems and methods for mobile image capture and processing |
CN102663760A (en) * | 2012-04-23 | 2012-09-12 | 苏州大学 | Location and segmentation method for windshield area of vehicle in images |
CN102831580A (en) * | 2012-07-17 | 2012-12-19 | 西安电子科技大学 | Method for restoring image shot by cell phone based on motion detection |
US20140139660A1 (en) * | 2012-11-21 | 2014-05-22 | Pelco, Inc. | Method and Apparatus for Detecting People by a Surveillance System |
CN103440667A (en) * | 2013-07-19 | 2013-12-11 | 杭州师范大学 | Automatic device for stably tracing moving targets under shielding states |
CN103617632A (en) * | 2013-11-19 | 2014-03-05 | 浙江工业大学 | Moving target detection method with adjacent frame difference method and Gaussian mixture models combined |
CN104751157A (en) * | 2013-12-31 | 2015-07-01 | 中核控制系统工程有限公司 | FPGA (Field Programmable Gate Array)-based detection tracking method |
CN104331910A (en) * | 2014-11-24 | 2015-02-04 | 沈阳建筑大学 | Track obstacle detection system based on machine vision |
US20160363653A1 (en) * | 2014-12-30 | 2016-12-15 | Huazhong University Of Science And Technology | Above-ground building recognition method and navigation method combining laser and infrared |
US20160202757A1 (en) * | 2015-01-09 | 2016-07-14 | Microsoft Technology Licensing, Llc | Gaze detection offset for gaze tracking models |
CN104637237A (en) * | 2015-01-19 | 2015-05-20 | 无锡桑尼安科技有限公司 | Flashlight warning method for stage of zoo |
CN105809138A (en) * | 2016-03-15 | 2016-07-27 | 武汉大学 | Road warning mark detection and recognition method based on block recognition |
CN106339687A (en) * | 2016-08-30 | 2017-01-18 | 吉林大学 | Self-adaptive pedestrian street-crossing signal calculating method based on video |
CN106778704A (en) * | 2017-01-23 | 2017-05-31 | 安徽理工大学 | A kind of recognition of face matching process and semi-automatic face matching system |
CN107481269A (en) * | 2017-08-08 | 2017-12-15 | 西安科技大学 | A kind of mine multi-cam moving target continuous tracking method |
CN107766821A (en) * | 2017-10-23 | 2018-03-06 | 江苏鸿信系统集成有限公司 | All the period of time vehicle detecting and tracking method and system in video based on Kalman filtering and deep learning |
CN108259705A (en) * | 2018-03-29 | 2018-07-06 | 吴英 | Intelligent image scene filtering system |
Non-Patent Citations (2)
Title |
---|
YU QIN等: "Feature Matching Algorithm of Moving Human Bodies", 《 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY & COMPUTER SCIENCE IEEE》 * |
周维: "视频监控中运动目标发现与跟踪算法研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110636465A (en) * | 2019-04-03 | 2019-12-31 | 靳爱丛 | Local area network information sending platform |
CN110636465B (en) * | 2019-04-03 | 2020-10-16 | 浙江艾克米信息科技有限公司 | Local area network information sending platform |
CN111639511A (en) * | 2019-09-26 | 2020-09-08 | 窦翠云 | Stage effect field recognition system and method |
CN110758646A (en) * | 2019-11-07 | 2020-02-07 | 陈嘉琴 | Container ship |
CN110766905A (en) * | 2019-11-07 | 2020-02-07 | 陈嘉琴 | Smoke temperature detector with monitor |
CN110901407A (en) * | 2019-11-07 | 2020-03-24 | 陈嘉琴 | Electric automobile |
CN110901513A (en) * | 2019-11-07 | 2020-03-24 | 陈嘉琴 | Household automobile |
CN112347847A (en) * | 2020-09-27 | 2021-02-09 | 浙江大丰实业股份有限公司 | Automatic positioning system for stage safety monitoring |
Also Published As
Publication number | Publication date |
---|---|
CN109165600B (en) | 2021-11-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109165600A (en) | Stage performance personnel's intelligent search platform | |
CN107301358B (en) | Passive electronic tag, and control method, device and system of passive electronic tag | |
US7957007B2 (en) | Apparatus and method for illuminating a scene with multiplexed illumination for motion capture | |
CN104199023B (en) | RFID indoor positioning system based on depth perception and operating method thereof | |
US20160241338A1 (en) | Self-identifying one-way authentication method using optical signals | |
EP1672821A2 (en) | Identifying objects tracked in images using active device | |
CN105358925A (en) | Refrigeration appliance comprising a camera module | |
KR20040064930A (en) | Mobile robot and autonomic traveling system and method thereof | |
CN105891765A (en) | Equipment for intelligent detection of electric meter defects | |
CN104200249A (en) | Automatic clothes matching method, device and system | |
CN109842763A (en) | A kind of automatic light-supplementing method, system and video camera | |
CN107835050A (en) | A kind of localization method and system based on visible light communication | |
CN106932770A (en) | A kind of indoor locating system and method based on LED | |
WO2019084385A1 (en) | Tire code reader | |
US20190340472A1 (en) | System of recognizing identity of object and method of automatically recognizing identity of object | |
CN107636729A (en) | Lighting plan maker | |
WO2021074871A1 (en) | System and method for matching of image features with indistinguishable landmarks | |
CN111935415B (en) | Brightness adjusting method and device, storage medium and electronic device | |
CN107564064A (en) | A kind of anchor point, its coding method, localization method and its system | |
WO2024018174A1 (en) | Light based communications | |
CN100352400C (en) | Portable iris image acquiring device | |
CN103134427B (en) | Annulus Parts Recognition method | |
CN109671121A (en) | A kind of controller and its visible light-seeking visible detection method | |
KR102047664B1 (en) | A position recognition system and method for a plurality of ground vehicle, and ground vehicle and control device thereof | |
Fan et al. | A single-aperture, single-pixel reader for optical frequency identification |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |