CN111027366B - Adaptive facial signal processing platform - Google Patents
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- CN111027366B CN111027366B CN201910363241.5A CN201910363241A CN111027366B CN 111027366 B CN111027366 B CN 111027366B CN 201910363241 A CN201910363241 A CN 201910363241A CN 111027366 B CN111027366 B CN 111027366B
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- 238000012545 processing Methods 0.000 title claims abstract description 91
- 230000003044 adaptive effect Effects 0.000 title claims description 15
- 230000001815 facial effect Effects 0.000 title description 3
- 238000003384 imaging method Methods 0.000 claims abstract description 14
- 238000012544 monitoring process Methods 0.000 claims abstract description 11
- 238000012937 correction Methods 0.000 claims description 26
- 238000001514 detection method Methods 0.000 claims description 19
- 238000004458 analytical method Methods 0.000 claims description 15
- 239000013307 optical fiber Substances 0.000 claims description 13
- 230000037237 body shape Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 238000003707 image sharpening Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 6
- 238000000034 method Methods 0.000 description 4
- 230000005180 public health Effects 0.000 description 4
- 238000003672 processing method Methods 0.000 description 3
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G06T3/04—
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- G06T5/73—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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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
- G06V40/172—Classification, e.g. identification
Abstract
The invention relates to a self-adaptive signal processing platform, comprising: and the fuzzy processing device is connected with the field sharpening device, is used for identifying the area where the private part is located from the field sharpened image based on the imaging characteristic of the private part of the human body, is used for identifying the area where the face part is located from the field sharpened image based on the imaging characteristic of the face part of the human body, and performs fuzzy processing on the area where the private part is located and the area where the face part is located in the field sharpened image so as to obtain a corresponding fuzzy processing image. The self-adaptive signal processing platform is reliable in data and convenient to monitor. As the field imaging operation and the remote monitoring display operation are carried out on the toilet use scene in the public washroom, the key is that different fuzzification modes are selected based on the field imaging content, so that the balance between the personnel privacy and the monitoring effect is achieved as far as possible.
Description
Technical Field
The invention relates to the field of signal processing, in particular to a self-adaptive facial signal processing platform.
Background
The earliest signals to be processed were limited to analog signals, and the processing method used was also an analog signal processing method. There is no profound understanding of the "signal processing" technique when processing with analog processing methods. This is because, in the past, signal processing and information extraction were integrated, and therefore, analog processing that satisfies information extraction was greatly limited from the viewpoint of physical constraints.
With the rapid development of digital computers, the theory and method of signal processing has also been developed. In the front of our, a purely mathematical process, namely an algorithm, which is not limited by physics appears, and the field of signal processing is established. Now, for Signal processing, one usually converts an analog Signal into a Digital Signal and then performs Digital Signal processing on the Digital Signal by using an efficient Digital Signal Processor (DSP) or a computer.
Disclosure of Invention
The invention needs to have the following important invention points:
(1) the method comprises the following steps of carrying out field imaging operation and remote monitoring display operation on a toilet use scene in a public washroom, wherein the key is that different fuzzification modes are selected based on field imaging contents to achieve balance between personnel privacy and monitoring effect as much as possible;
(2) after the LAB space conversion, the selective distortion correction processing of the self-adaptive component values is executed according to the specific content of the image, and the other component values do not participate in the distortion correction processing so as to reduce the operation amount of the image processing;
(3) and determining the corresponding complexity grade based on the mean square error of each pixel value of each pixel point of the image, and improving the precision of judging the complexity grade.
According to an aspect of the invention, there is provided an adaptive signal processing platform, the platform comprising:
the field sharpening device is connected with the fuzzy processing device, and is used for identifying the area where the private part is located from the field sharpened image based on the imaging feature of the private part of the human body, identifying the area where the face part is located from the field sharpened image based on the imaging feature of the face part of the human body, and performing fuzzy processing on the area where the private part is located and the area where the face part is located in the field sharpened image to obtain a corresponding fuzzy processing image;
the defuzzification device is connected with the fuzzy processing device and is used for determining the gender of the human body target in the fuzzy processing image according to the preset male human body shape and the preset female human body shape, and canceling the fuzzy processing of the area where the surface part is located in the fuzzy processing image when the determined gender is different from the gender corresponding to a public washroom so as to obtain the defuzzified image and use the defuzzified image as a field output image, otherwise, directly using the fuzzy processing image as the field output image;
the far-end display equipment is arranged in the monitoring room, is connected with the defuzzification equipment and is used for receiving and displaying the field output image;
the high-definition camera equipment is arranged above a closestool in a public washroom and used for carrying out high-definition camera shooting operation on a scene where the closestool is located so as to obtain and output a corresponding high-definition closestool image;
the complexity detection equipment is connected with the high-definition camera equipment and used for receiving the high-definition closestool image and detecting the complexity of the high-definition closestool image so as to obtain a corresponding complexity grade;
in the complexity detection equipment, determining a corresponding complexity grade based on the mean square error of each pixel value of each pixel point of the high-definition closestool image;
in the complexity detection device, determining a corresponding complexity level based on a mean square error of respective pixel values of respective pixel points of the high-definition toilet image comprises: the larger the mean square error is, the higher the corresponding complexity level is determined to be;
the embedded processing equipment is respectively connected with the complexity detection equipment and the component analysis equipment and is used for switching the component analysis equipment from a power-saving state to an operating state when the received complexity level exceeds the limit;
the embedded processing equipment is also used for switching the component analysis equipment from an operating state to a power-saving state when the received complexity level is not over-limit;
the component analysis equipment is used for receiving the high-definition closestool image from the complexity detection equipment in the running state and performing conversion from an RGB space to an LAB space on the high-definition closestool image so as to obtain an L component value, an A component value and a B component value of each pixel point in the high-definition closestool image;
a distortion correction device connected with the component analysis device and used for performing distortion correction processing on the B component value in the high-definition closestool image to obtain a first processed image and performing distortion correction processing on the L component value in the first processed image to obtain a second processed image;
and the field sharpening device is connected with the distortion correction device and is used for carrying out image sharpening on the second processed image so as to obtain a field sharpened image.
The self-adaptive signal processing platform is reliable in data and convenient to monitor. As the field imaging operation and the remote monitoring display operation are carried out on the toilet use scene in the public washroom, the key is that different fuzzification modes are selected based on the field imaging content, so that the balance between the personnel privacy and the monitoring effect is achieved as far as possible.
Detailed Description
Embodiments of the adaptive signal processing platform of the present invention will be described in detail below.
By public safety is meant the stable external environment and order required by society and citizens to engage and carry out normal life, work, study, entertainment and communications. The public safety management refers to the sum of various administrative activities performed by the national administration to maintain the public safety order of the society, guarantee the legal rights and interests of the citizens, and ensure the normal progress of each activity of the society.
Public safety includes information safety, food safety, public health safety, public travel rule safety, refugee behavior safety, site safety for people evacuation, building safety, city lifeline safety, malicious and non-malicious personal safety, people evacuation and the like.
At present, because the privacy of public health room internal environment usually does not allow supervisory equipment such as installation camera to carry out video image data acquisition, however, can give some lawless persons in order to take advantage of the opportunity like this, also can't monitor and in time remind the personnel of the public health room of mistake income non-oneself sex, consequently, need one kind can reach balanced monitoring mechanism between personnel's privacy and monitoring effect, realize the effective control to public health room internal environment.
In order to overcome the defects, the invention builds a self-adaptive signal processing platform, and can effectively solve the corresponding technical problem.
An adaptive signal processing platform according to an embodiment of the present invention is shown comprising:
the field sharpening device is connected with the fuzzy processing device, and is used for identifying the area where the private part is located from the field sharpened image based on the imaging feature of the private part of the human body, identifying the area where the face part is located from the field sharpened image based on the imaging feature of the face part of the human body, and performing fuzzy processing on the area where the private part is located and the area where the face part is located in the field sharpened image to obtain a corresponding fuzzy processing image;
the defuzzification device is connected with the fuzzy processing device and is used for determining the gender of the human body target in the fuzzy processing image according to the preset male human body shape and the preset female human body shape, and canceling the fuzzy processing of the area where the surface part is located in the fuzzy processing image when the determined gender is different from the gender corresponding to a public washroom so as to obtain the defuzzified image and use the defuzzified image as a field output image, otherwise, directly using the fuzzy processing image as the field output image;
the far-end display equipment is arranged in the monitoring room, is connected with the defuzzification equipment and is used for receiving and displaying the field output image;
the high-definition camera equipment is arranged above a closestool in a public washroom and used for carrying out high-definition camera shooting operation on a scene where the closestool is located so as to obtain and output a corresponding high-definition closestool image;
the complexity detection equipment is connected with the high-definition camera equipment and used for receiving the high-definition closestool image and detecting the complexity of the high-definition closestool image so as to obtain a corresponding complexity grade;
in the complexity detection equipment, determining a corresponding complexity grade based on the mean square error of each pixel value of each pixel point of the high-definition closestool image;
in the complexity detection device, determining a corresponding complexity level based on a mean square error of respective pixel values of respective pixel points of the high-definition toilet image comprises: the larger the mean square error is, the higher the corresponding complexity level is determined to be;
the embedded processing equipment is respectively connected with the complexity detection equipment and the component analysis equipment and is used for switching the component analysis equipment from a power-saving state to an operating state when the received complexity level exceeds the limit;
the embedded processing equipment is also used for switching the component analysis equipment from an operating state to a power-saving state when the received complexity level is not over-limit;
the component analysis equipment is used for receiving the high-definition closestool image from the complexity detection equipment in the running state and performing conversion from an RGB space to an LAB space on the high-definition closestool image so as to obtain an L component value, an A component value and a B component value of each pixel point in the high-definition closestool image;
a distortion correction device connected with the component analysis device and used for performing distortion correction processing on the B component value in the high-definition closestool image to obtain a first processed image and performing distortion correction processing on the L component value in the first processed image to obtain a second processed image;
the field sharpening device is connected with the distortion correction device and is used for carrying out image sharpening on the second processed image so as to obtain a field sharpened image;
wherein, in the distortion correcting apparatus, performing distortion correcting processing on a B component value in the high-definition toilet bowl image to obtain a first processed image includes: b component values of all pixel points in the high-definition closestool image participate in distortion correction processing, and A component values and L component values of all pixel points in the high-definition closestool image do not participate in distortion correction processing;
wherein, in the distortion correction apparatus, performing distortion correction processing on an L component value in the first processed image to obtain a second processed image includes: and all the L component values of all the pixel points in the first processed image participate in the distortion correction processing, and all the A component values and all the B component values of all the pixel points in the high-definition closestool image do not participate in the distortion correction processing.
Next, the detailed structure of the adaptive signal processing platform of the present invention will be further described.
The adaptive signal processing platform may further include:
and the optical fiber communication equipment is connected with the field sharpening equipment and is used for receiving and sending the field sharpened image through an optical fiber communication link.
In the adaptive signal processing platform:
the complexity detection device is also internally provided with a ROM memory and a RAM memory, and the RAM memory is used for receiving and storing the complexity level.
The adaptive signal processing platform may further include:
and the CF storage chip is connected with the system measuring equipment and the multi-equipment detecting equipment and is used for storing the power consumption of the system.
The adaptive signal processing platform may further include:
and a system measurement device for analyzing the power consumption amount per unit time of the currently used battery based on the historical power consumption data of the currently used battery to output as the system power consumption amount.
The adaptive signal processing platform may further include:
the multi-device detection device is respectively connected with the fuzzy processing device, the defuzzification device and the field sharpening device, and is used for counting the power consumption of the fuzzy processing device in unit time based on historical power consumption data of the fuzzy processing device to serve as a first power consumption, counting the power consumption of the defuzzification device in unit time based on historical power consumption data of the defuzzification device to serve as a second power consumption, and counting the power consumption of the field sharpening device in unit time based on historical power consumption data of the field sharpening device to serve as a third power consumption.
The adaptive signal processing platform may further include:
and the available power adjusting device is respectively connected with the system measuring device and the multi-device detecting device and is used for determining available power distributed to the blurring processing device in the current used battery residual power based on the percentage of the first power consumption occupying the system power consumption, determining available power distributed to the defuzzifying device in the current used battery residual power based on the percentage of the second power consumption occupying the system power consumption, and determining available power distributed to the field sharpening device in the current used battery residual power based on the percentage of the third power consumption occupying the system power consumption.
In the adaptive signal processing platform:
in the available power adjustment device, the first power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a blurring device, the second power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a defuzzifying device, and the third power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a field sharpening device;
the CF storage chip is also used for storing first power consumption, second power consumption and third power consumption.
In addition, the optical fiber is a short term for optical fiber, and is a fiber made of glass or plastic, which can be used as a light transmission means. The principle of transmission is "total reflection of light". The fine optical fiber is enclosed in a plastic sheath so that it can be bent without breaking. Generally, a Light Emitting Diode (LED) or a laser beam is used as a transmitter at one end of the optical fiber to transmit an optical pulse to the optical fiber, and a photosensor is used as a receiver at the other end of the optical fiber to detect the pulse.
In the multimode optical fiber, the core diameter is 50 μm and 62.5 μm, which are approximately equivalent to the thickness of human hair. The diameter of the single-mode optical fiber core is 8-10 μm, and 9/125 μm is commonly used. The core is surrounded by a glass envelope, commonly referred to as a cladding, of lower refractive index than the core, which keeps the light rays within the core. Further on the outside is a thin plastic outer jacket, i.e. a coating, for protecting the cladding. The optical fibers are typically bundled and protected by an outer jacket. The core is usually a double-walled concentric cylinder of silica glass with a small cross-sectional area, which is brittle and easily broken, and therefore requires the addition of a protective layer.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (2)
1. An adaptive signal processing platform, the platform comprising:
the field sharpening device is connected with the fuzzy processing device, and is used for identifying the area where the private part is located from the field sharpened image based on the imaging feature of the private part of the human body, identifying the area where the face part is located from the field sharpened image based on the imaging feature of the face part of the human body, and performing fuzzy processing on the area where the private part is located and the area where the face part is located in the field sharpened image to obtain a corresponding fuzzy processing image;
the defuzzification device is connected with the fuzzy processing device and is used for determining the gender of the human body target in the fuzzy processing image according to the preset male human body shape and the preset female human body shape, and canceling the fuzzy processing of the area where the surface part is located in the fuzzy processing image when the determined gender is different from the gender corresponding to a public washroom so as to obtain the defuzzified image and use the defuzzified image as a field output image, otherwise, directly using the fuzzy processing image as the field output image;
the far-end display equipment is arranged in the monitoring room, is connected with the defuzzification equipment and is used for receiving and displaying the field output image;
the high-definition camera equipment is arranged above a closestool in a public washroom and used for carrying out high-definition camera shooting operation on a scene where the closestool is located so as to obtain and output a corresponding high-definition closestool image;
the complexity detection equipment is connected with the high-definition camera equipment and used for receiving the high-definition closestool image and detecting the complexity of the high-definition closestool image so as to obtain a corresponding complexity grade;
in the complexity detection equipment, determining a corresponding complexity grade based on the mean square error of each pixel value of each pixel point of the high-definition closestool image;
in the complexity detection device, determining a corresponding complexity level based on a mean square error of respective pixel values of respective pixel points of the high-definition toilet image comprises: the larger the mean square error is, the higher the corresponding complexity level is determined to be;
the embedded processing equipment is respectively connected with the complexity detection equipment and the component analysis equipment and is used for switching the component analysis equipment from a power-saving state to an operating state when the received complexity level exceeds the limit;
the embedded processing equipment is also used for switching the component analysis equipment from an operating state to a power-saving state when the received complexity level is not over-limit;
the component analysis equipment is used for receiving the high-definition closestool image from the complexity detection equipment in the running state and performing conversion from an RGB space to an LAB space on the high-definition closestool image so as to obtain an L component value, an A component value and a B component value of each pixel point in the high-definition closestool image;
a distortion correction device connected with the component analysis device and used for performing distortion correction processing on the B component value in the high-definition closestool image to obtain a first processed image and performing distortion correction processing on the L component value in the first processed image to obtain a second processed image;
the field sharpening device is connected with the distortion correction device and is used for carrying out image sharpening on the second processed image so as to obtain a field sharpened image;
wherein, in the distortion correcting apparatus, performing distortion correcting processing on a B component value in the high-definition toilet bowl image to obtain a first processed image includes: b component values of all pixel points in the high-definition closestool image participate in distortion correction processing, and A component values and L component values of all pixel points in the high-definition closestool image do not participate in distortion correction processing;
wherein, in the distortion correction apparatus, performing distortion correction processing on an L component value in the first processed image to obtain a second processed image includes: all L component values of all pixel points in the first processed image participate in distortion correction processing, and all A component values and all B component values of all pixel points in the high-definition closestool image do not participate in distortion correction processing;
the optical fiber communication equipment is connected with the field sharpening equipment and used for receiving and sending the field sharpened image through an optical fiber communication link;
the complexity detection device is also internally provided with a ROM memory and a RAM memory, and the RAM memory is used for receiving and storing the complexity grade;
the CF storage chip is connected with the system measuring equipment and the multi-equipment detecting equipment and is used for storing the power consumption of the system;
a system measurement device for analyzing a power consumption amount per unit time of a currently used battery based on historical power consumption data of the currently used battery to output as a system power consumption amount;
the multi-device detection device is respectively connected with the fuzzy processing device, the defuzzification device and the field sharpening device, and is used for counting the power consumption of the fuzzy processing device in unit time based on historical power consumption data of the fuzzy processing device to serve as a first power consumption, counting the power consumption of the defuzzification device in unit time based on historical power consumption data of the defuzzification device to serve as a second power consumption, and counting the power consumption of the field sharpening device in unit time based on historical power consumption data of the field sharpening device to serve as a third power consumption;
and the available power adjusting device is respectively connected with the system measuring device and the multi-device detecting device and is used for determining available power distributed to the blurring processing device in the current used battery residual power based on the percentage of the first power consumption occupying the system power consumption, determining available power distributed to the defuzzifying device in the current used battery residual power based on the percentage of the second power consumption occupying the system power consumption, and determining available power distributed to the field sharpening device in the current used battery residual power based on the percentage of the third power consumption occupying the system power consumption.
2. The adaptive signal processing platform of claim 1, wherein:
in the available power adjustment device, the first power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a blurring device, the second power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a defuzzifying device, and the third power consumption accounts for a percentage of the system power consumption that is proportional to an available power allocated to a field sharpening device;
the CF storage chip is also used for storing first power consumption, second power consumption and third power consumption.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5835616A (en) * | 1994-02-18 | 1998-11-10 | University Of Central Florida | Face detection using templates |
| CN101763734A (en) * | 2010-01-21 | 2010-06-30 | 上海交通大学 | Traffic signal light intelligent control system and control method thereof |
| CN107606756A (en) * | 2017-09-11 | 2018-01-19 | 珠海格力电器股份有限公司 | Toilet intelligence ventilation system and method |
| CN107818569A (en) * | 2017-11-09 | 2018-03-20 | 王涛 | A kind of vision impairment monitoring alarm method |
| CN109602453A (en) * | 2018-12-07 | 2019-04-12 | 余姚市华耀工具科技有限公司 | Fetus dim pattern processing platform |
| US10558908B2 (en) * | 2016-11-30 | 2020-02-11 | Altumview Systems Inc. | Age and gender estimation using small-scale convolutional neural network (CNN) modules for embedded systems |
-
2019
- 2019-04-30 CN CN201910363241.5A patent/CN111027366B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5835616A (en) * | 1994-02-18 | 1998-11-10 | University Of Central Florida | Face detection using templates |
| CN101763734A (en) * | 2010-01-21 | 2010-06-30 | 上海交通大学 | Traffic signal light intelligent control system and control method thereof |
| US10558908B2 (en) * | 2016-11-30 | 2020-02-11 | Altumview Systems Inc. | Age and gender estimation using small-scale convolutional neural network (CNN) modules for embedded systems |
| CN107606756A (en) * | 2017-09-11 | 2018-01-19 | 珠海格力电器股份有限公司 | Toilet intelligence ventilation system and method |
| CN107818569A (en) * | 2017-11-09 | 2018-03-20 | 王涛 | A kind of vision impairment monitoring alarm method |
| CN109602453A (en) * | 2018-12-07 | 2019-04-12 | 余姚市华耀工具科技有限公司 | Fetus dim pattern processing platform |
Non-Patent Citations (2)
| Title |
|---|
| Gender classification in live videos;Jiale Chen et al;《2017 IEEE International Conference on Image Processing (ICIP)》;20180222;第1602-1606页 * |
| 视频监控下的行人性别检测;苏宁等;《现代计算机(专业版)》;20181231(第29期);第29-33、48页 * |
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