CN108985267B - Audience seat identity on-site identification system - Google Patents
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Abstract
The invention relates to a spectator seat identity on-site identification system, which comprises: the audience seat arrangement is arranged right opposite to the stage performance field and is used for providing a viewing position for each audience viewing the stage performance; the on-site camera shooting mechanism is used for carrying out on-site camera shooting on the audience seat arrangement opposite to the stage performance field so as to obtain a corresponding audience seat image; the first analysis equipment is connected with the field camera shooting mechanism and used for measuring the contrast of the seat image of the audience and outputting the measurement result as real-time contrast; and the second analysis equipment is respectively connected with the field camera shooting mechanism and the first analysis equipment, and is used for receiving the real-time contrast and the audience seat image and uniformly partitioning the audience seat image based on the real-time contrast so as to obtain a plurality of corresponding sub-images. By the aid of the method and the device, the security of the stage site can be improved.
Description
Technical Field
The invention relates to the field of stage security, in particular to a spectator seat identity on-site identification system.
Background
Auditoriums can be classified as short-line methods: the hard chair should not be less than 0.80m, the soft chair should not be less than 0.90m, the step-type ground row distance should be properly increased, and the horizontal distance from the chair back to the most protruding part of the rear row should not be less than 0.30 m; the long-row method comprises the following steps: the hard chair should not be less than 1.00 m; the soft chair should not be smaller than 1.10 m. The row distance of the step type ground is properly increased, and the horizontal distance from the chair back to the most protruding part of the rear row is not less than 0.50 m; when the seats are arranged near the rear wall, the row distance of the last row of seats of the building seat and the pool seat is increased by at least 0.12 m. The rear row of seats should be raised at least 0.12 meters above the front row of seats. The middle distance of the armrests of the chair can not be less than 0.5 m for a hard chair; and for soft chairs, the length of the chair can not be less than 0.55 m.
Disclosure of Invention
In order to solve the technical problem that a security system outside a stage is short of an entrance, the invention provides an audience seat identity on-site identification system, which is used for carrying out customized high-precision image identification on each audience in the audience seat arrangement opposite to a stage performance field and sending out a wanted number corresponding to a suspect when the identification is successful so as to effectively maintain the stage on-site safety; an adaptive adjustment mode for adjusting the block threshold based on the integral threshold is established, so that the target detection gives consideration to the integral characteristics and the possessed characteristics, and the effectiveness of the target image to be processed for subsequent image processing is ensured; the segmentation processing of the image output by the on-site camera shooting mechanism is realized based on the real-time contrast of the image, and whether the image output by the on-site camera shooting mechanism meets the focusing standard or not is determined based on the characteristic analysis of the segmented sub-image, so that the on-site camera shooting mechanism can focus in time; and a self-adaptive directional frequency band gain increasing strategy is determined according to the image energy gathering condition, so that the directionality and the effectiveness of image processing are ensured.
According to an aspect of the present invention, there is provided a spectator seat identity on-site authentication system, the system comprising:
the audience seat arrangement is arranged right opposite to the stage performance field and is used for providing a viewing position for each audience viewing the stage performance;
the on-site camera shooting mechanism is used for carrying out on-site camera shooting on the audience seat arrangement opposite to the stage performance field so as to obtain a corresponding audience seat image;
the first analysis equipment is connected with the field camera shooting mechanism and used for measuring the contrast of the seat image of the audience and outputting the measurement result as real-time contrast;
the second analysis equipment is respectively connected with the field camera shooting mechanism and the first analysis equipment and is used for receiving the real-time contrast and the audience seat image and uniformly partitioning the audience seat image based on the real-time contrast to obtain a plurality of corresponding sub-images;
a first processing device connected to the second analysis device, configured to receive the plurality of sub-images, and perform the following processing for each sub-image: acquiring R channel values of all pixel points of the subimages, adding the R channel values of all pixel points of the subimages, and outputting the added result as the color parameter of the subimages;
the second processing device is connected with the first processing device and used for receiving each color parameter of each sub-image, sending out a first control signal when all the color parameters fall within a preset parameter threshold range, and sending out a second control signal when the color parameters fall out of the preset parameter threshold range;
the data output device is respectively connected with the second processing device and the field shooting mechanism, and is used for sending focusing prompt information to the field shooting mechanism when receiving the first control signal and not sending any information to the field shooting mechanism when receiving the second control signal;
the integral analysis equipment is connected with the field camera shooting mechanism and used for receiving the audience seat image and determining an integral segmentation threshold corresponding to the audience seat image based on the distribution condition of pixel values of all pixel points in the audience seat image;
the contrast analysis equipment is used for receiving the audience seat image and carrying out contrast analysis on the audience seat image so as to obtain and output corresponding contrast;
the self-adaptive processing device is connected with the contrast analysis device and is used for receiving the contrast and carrying out image segmentation processing on the audience seat image based on the contrast to obtain a plurality of sub-images, wherein the higher the contrast is, the more the number of the obtained sub-images is;
the area analysis equipment is connected with the self-adaptive processing equipment and used for receiving the plurality of sub-images, determining area segmentation thresholds corresponding to the sub-images based on the distribution condition of pixel values of all pixel points in each sub-image and outputting all area segmentation thresholds corresponding to all the sub-images;
the region correction device is respectively connected with the region analysis device and the whole analysis device, and is used for receiving the whole segmentation threshold and each region segmentation threshold, carrying out numerical value adjustment on each region segmentation threshold based on the whole segmentation threshold, and obtaining the adjusted region segmentation threshold to be used as a region adjustment threshold to be output;
the partitioning and dividing equipment is connected with the area correction equipment and is used for partitioning each sub-image by adopting a corresponding area adjustment threshold value so as to obtain a corresponding target sub-image, and combining all the target sub-images so as to obtain and output a target image to be processed;
the preprocessing device is connected with the block segmentation device and used for receiving the target image to be processed, detecting each target shape in the target image to be processed, deepening each detected target shape to obtain a corresponding deepened image, and outputting the deepened image;
the energy measuring equipment is connected with the preprocessing equipment and used for receiving the deepened image, determining the energy distributed in different frequency bands in the deepened image and outputting a plurality of frequency bands with energy less than or equal to a limited amount as a plurality of frequency bands to be processed;
the band-pass filtering equipment is distributed and connected with the energy measuring equipment and the preprocessing equipment and is used for receiving the plurality of frequency bands to be processed and the deepened image, performing band-pass filtering processing on the deepened image based on the plurality of frequency bands to be processed so as to obtain a band-pass filtering image which comes from the deepened image and has the plurality of frequency bands to be processed, and further obtaining a band-pass reserved image which is used for removing the band-pass filtering image from the deepened image;
the automatic gain device is connected with the band-pass filtering device and used for executing gain processing on the band-pass filtering image based on the dynamic distribution range of the band-pass filtering image so as to obtain and output a gain processing image;
the image integration equipment is respectively connected with the band-pass filtering equipment and the automatic gain equipment and is used for receiving the gain processing image and the band-pass retention image, integrating the gain processing image and the band-pass retention image to obtain and output an integrated image;
suspect identification equipment, connected to the image integration equipment, for receiving the integrated image, for identifying each audience face area from the integrated image based on a preset human face contour, and performing the following operations for each audience face area: and carrying out suspect identification on the face area of the audience based on the face features of each suspect respectively, and sending out wanted numbers of the corresponding suspect when the identification is successful.
More specifically, in the audience mat identity spot authentication system: in the automatic gain device, the wider the dynamic distribution range of the band-pass filtered image, the smaller the gain processing strength performed on the band-pass filtered image.
More specifically, in the audience mat identity spot authentication system: and the frequency division duplex communication interface is connected with the suspect identification equipment and is used for wirelessly sending the wanted number of the corresponding suspect to the nearest police service control center server.
More specifically, in the audience mat identity spot authentication system: in the preprocessing device, deepening each detected target outline to obtain a corresponding deepened image includes: and obtaining each pixel point forming each target shape in the target image to be processed, and reducing the pixel value of each obtained pixel point to sixty percent of the value of the pixel point.
More specifically, in the audience mat identity spot authentication system: in the region correction device, numerically adjusting each region division threshold value based on the overall division threshold value includes: and adjusting the value of the region segmentation threshold value based on the difference value from the integral segmentation threshold value to each region segmentation threshold value.
More specifically, in the audience mat identity spot authentication system: the preset parameter threshold range consists of a preset parameter upper threshold and a preset parameter lower threshold;
and the preset parameter upper limit threshold is smaller than the preset parameter lower limit threshold.
More specifically, in the audience mat identity spot authentication system: in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one fourth of the difference.
More specifically, in the audience mat identity spot authentication system: in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one half of the difference.
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Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a bird's eye view of an auditorium for which an auditorium identity live authentication system is shown according to an embodiment of the invention.
Detailed Description
Embodiments of the present invention of the on-site audience mat identity authentication system will be described in detail with reference to the accompanying drawings.
An auditorium is one of the facilities that the stage must not lack, and is usually composed of an array of seats. The auditorium adopts a sofa type soft cushion form, and a cushion turnover structure is adopted for facilitating the evacuation of people in a field. The seat should be easy for the user to recognize and find the seat by considering the number of the seat and the local lighting facility in the dark.
According to the design requirements of use and field, the seats of the hall need to be provided with documents and writing boards for recording, and special halls also need to be considered to be combined with simultaneous interpretation equipment and voting and speaking equipment; some theaters or auditoriums also require seating and air conditioning systems to be coordinated.
In order to overcome the defects, the invention builds a spectator seat identity on-site identification system, and effectively solves the related technical problems.
Fig. 1 is a bird's eye view of an auditorium for which an auditorium identity live authentication system is shown according to an embodiment of the invention. Wherein, 1 and 2 are actor approach channels, 3 is the outer edge of the performance field, 4 is the inner edge of the performance field, and 5 is the seat array.
The audience seat identity on-site identification system shown according to the embodiment of the invention comprises:
the audience seat arrangement is arranged right opposite to the stage performance field and is used for providing a viewing position for each audience viewing the stage performance;
the on-site camera shooting mechanism is used for carrying out on-site camera shooting on the audience seat arrangement opposite to the stage performance field so as to obtain a corresponding audience seat image;
the first analysis equipment is connected with the field camera shooting mechanism and used for measuring the contrast of the seat image of the audience and outputting the measurement result as real-time contrast;
the second analysis equipment is respectively connected with the field camera shooting mechanism and the first analysis equipment and is used for receiving the real-time contrast and the audience seat image and uniformly partitioning the audience seat image based on the real-time contrast to obtain a plurality of corresponding sub-images;
a first processing device connected to the second analysis device, configured to receive the plurality of sub-images, and perform the following processing for each sub-image: acquiring R channel values of all pixel points of the subimages, adding the R channel values of all pixel points of the subimages, and outputting the added result as the color parameter of the subimages;
the second processing device is connected with the first processing device and used for receiving each color parameter of each sub-image, sending out a first control signal when all the color parameters fall within a preset parameter threshold range, and sending out a second control signal when the color parameters fall out of the preset parameter threshold range;
the data output device is respectively connected with the second processing device and the field shooting mechanism, and is used for sending focusing prompt information to the field shooting mechanism when receiving the first control signal and not sending any information to the field shooting mechanism when receiving the second control signal;
the integral analysis equipment is connected with the field camera shooting mechanism and used for receiving the audience seat image and determining an integral segmentation threshold corresponding to the audience seat image based on the distribution condition of pixel values of all pixel points in the audience seat image;
the contrast analysis equipment is used for receiving the audience seat image and carrying out contrast analysis on the audience seat image so as to obtain and output corresponding contrast;
the self-adaptive processing device is connected with the contrast analysis device and is used for receiving the contrast and carrying out image segmentation processing on the audience seat image based on the contrast to obtain a plurality of sub-images, wherein the higher the contrast is, the more the number of the obtained sub-images is;
the area analysis equipment is connected with the self-adaptive processing equipment and used for receiving the plurality of sub-images, determining area segmentation thresholds corresponding to the sub-images based on the distribution condition of pixel values of all pixel points in each sub-image and outputting all area segmentation thresholds corresponding to all the sub-images;
the region correction device is respectively connected with the region analysis device and the whole analysis device, and is used for receiving the whole segmentation threshold and each region segmentation threshold, carrying out numerical value adjustment on each region segmentation threshold based on the whole segmentation threshold, and obtaining the adjusted region segmentation threshold to be used as a region adjustment threshold to be output;
the partitioning and dividing equipment is connected with the area correction equipment and is used for partitioning each sub-image by adopting a corresponding area adjustment threshold value so as to obtain a corresponding target sub-image, and combining all the target sub-images so as to obtain and output a target image to be processed;
the preprocessing device is connected with the block segmentation device and used for receiving the target image to be processed, detecting each target shape in the target image to be processed, deepening each detected target shape to obtain a corresponding deepened image, and outputting the deepened image;
the energy measuring equipment is connected with the preprocessing equipment and used for receiving the deepened image, determining the energy distributed in different frequency bands in the deepened image and outputting a plurality of frequency bands with energy less than or equal to a limited amount as a plurality of frequency bands to be processed;
the band-pass filtering equipment is distributed and connected with the energy measuring equipment and the preprocessing equipment and is used for receiving the plurality of frequency bands to be processed and the deepened image, performing band-pass filtering processing on the deepened image based on the plurality of frequency bands to be processed so as to obtain a band-pass filtering image which comes from the deepened image and has the plurality of frequency bands to be processed, and further obtaining a band-pass reserved image which is used for removing the band-pass filtering image from the deepened image;
the automatic gain device is connected with the band-pass filtering device and used for executing gain processing on the band-pass filtering image based on the dynamic distribution range of the band-pass filtering image so as to obtain and output a gain processing image;
the image integration equipment is respectively connected with the band-pass filtering equipment and the automatic gain equipment and is used for receiving the gain processing image and the band-pass retention image, integrating the gain processing image and the band-pass retention image to obtain and output an integrated image;
suspect identification equipment, connected to the image integration equipment, for receiving the integrated image, for identifying each audience face area from the integrated image based on a preset human face contour, and performing the following operations for each audience face area: and carrying out suspect identification on the face area of the audience based on the face features of each suspect respectively, and sending out wanted numbers of the corresponding suspect when the identification is successful.
Next, the detailed configuration of the audience seat identity on-site authentication system of the present invention will be further described.
In the audience mat identity on-site authentication system: in the automatic gain device, the wider the dynamic distribution range of the band-pass filtered image, the smaller the gain processing strength performed on the band-pass filtered image.
In the audience mat identity on-site authentication system: and the frequency division duplex communication interface is connected with the suspect identification equipment and is used for wirelessly sending the wanted number of the corresponding suspect to the nearest police service control center server.
In the audience mat identity on-site authentication system: in the preprocessing device, deepening each detected target outline to obtain a corresponding deepened image includes: and obtaining each pixel point forming each target shape in the target image to be processed, and reducing the pixel value of each obtained pixel point to sixty percent of the value of the pixel point.
In the audience mat identity on-site authentication system: in the region correction device, numerically adjusting each region division threshold value based on the overall division threshold value includes: and adjusting the value of the region segmentation threshold value based on the difference value from the integral segmentation threshold value to each region segmentation threshold value.
In the audience mat identity on-site authentication system: the preset parameter threshold range consists of a preset parameter upper threshold and a preset parameter lower threshold;
and the preset parameter upper limit threshold is smaller than the preset parameter lower limit threshold.
In the audience mat identity on-site authentication system: in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one fourth of the difference.
And in said spectator seat identity on-site authentication system: in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one half of the difference.
In addition, in the FDD mode, which is the frequency division duplex mode adopted by the frequency division duplex communication interface, the frequency division duplex refers to that uplink and downlink transmissions are respectively performed on different frequencies.
In the first and second generation cellular systems, FDD technology is basically used for duplex transmission. In particular, in the first generation cellular systems, since continuous baseband signals are transmitted, duplex uplink and downlink channels must be provided using different frequencies. In the first generation cellular systems, in which FDD is used for continuous information transmission, frequency synthesizers for generating different carrier frequencies are required at both the transmitting and receiving ends, and a duplex filter for preventing the transmission signal from leaking to the receiver is required at the receiving end. In addition, in order to facilitate the fabrication of the duplexer, a certain frequency interval is required between the transmission and reception carrier frequencies. In the second generation of systems such as GSM, IS-136 and IS-95, FDD technology IS also used. In these systems, since the information is transmitted in time slots, the transmission and reception can be performed in different time slots, and the transmission signal of the mobile station or the base station does not interfere with the receiver. So, despite the FDD technique employed, no expensive duplex filters are required.
The FDD mode is characterized by receiving and transmitting in two symmetric frequency channels separated (190 MHz between uplink and downlink frequencies), and separating the receiving and transmitting channels by guard bands.
By adopting the technologies of packet switching and the like, the bottleneck of the second generation development can be broken through, the high-speed data service can be realized, the frequency spectrum utilization rate can be improved, and the system capacity can be increased. FDD must provide third generation services using paired frequencies, i.e., within a bandwidth of every 2x5 MHz. The mode can fully utilize the uplink and downlink frequency spectrums when supporting the symmetric service, but the frequency spectrum utilization rate is greatly reduced (about 40 percent of the frequency spectrum utilization rate is reduced due to low uplink load) when the asymmetric packet switching (Internet) works, and in this regard, the TDD mode has incomparable advantages compared with the FDD mode.
By adopting the audience seat identity on-site identification system, aiming at the technical problem of insufficient stage security strength in the prior art, the customized high-precision image identification is carried out on each audience in the audience seat arrangement opposite to the stage performance field, and when the identification is successful, the wanted number corresponding to a suspect is sent out, so that the stage on-site safety is effectively maintained; an adaptive adjustment mode for adjusting the block threshold based on the integral threshold is established, so that the target detection gives consideration to the integral characteristics and the possessed characteristics, and the effectiveness of the target image to be processed for subsequent image processing is ensured; the segmentation processing of the image output by the on-site camera shooting mechanism is realized based on the real-time contrast of the image, and whether the image output by the on-site camera shooting mechanism meets the focusing standard or not is determined based on the characteristic analysis of the segmented sub-image, so that the on-site camera shooting mechanism can focus in time; and determining a self-adaptive directional frequency band gain increasing strategy according to the image energy gathering condition, and ensuring the directionality and the effectiveness of image processing, thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A spectator seat identity on-site authentication system, comprising:
the audience seat arrangement is arranged right opposite to the stage performance field and is used for providing a viewing position for each audience viewing the stage performance;
the on-site camera shooting mechanism is used for carrying out on-site camera shooting on the audience seat arrangement opposite to the stage performance field so as to obtain a corresponding audience seat image;
the first analysis equipment is connected with the field camera shooting mechanism and used for measuring the contrast of the seat image of the audience and outputting the measurement result as real-time contrast;
the second analysis equipment is respectively connected with the field camera shooting mechanism and the first analysis equipment and is used for receiving the real-time contrast and the audience seat image and uniformly partitioning the audience seat image based on the real-time contrast to obtain a plurality of corresponding sub-images;
a first processing device connected to the second analysis device, configured to receive the plurality of sub-images, and perform the following processing for each sub-image: acquiring R channel values of all pixel points of the subimages, adding the R channel values of all pixel points of the subimages, and outputting the added result as the color parameter of the subimages;
the second processing device is connected with the first processing device and used for receiving each color parameter of each sub-image, sending out a first control signal when all the color parameters fall within a preset parameter threshold range, and sending out a second control signal when the color parameters fall out of the preset parameter threshold range;
the data output device is respectively connected with the second processing device and the field shooting mechanism, and is used for sending focusing prompt information to the field shooting mechanism when receiving the first control signal and not sending any information to the field shooting mechanism when receiving the second control signal;
the integral analysis equipment is connected with the field camera shooting mechanism and used for receiving the audience seat image and determining an integral segmentation threshold corresponding to the audience seat image based on the distribution condition of pixel values of all pixel points in the audience seat image;
the contrast analysis equipment is used for receiving the audience seat image and carrying out contrast analysis on the audience seat image so as to obtain and output corresponding contrast;
the self-adaptive processing device is connected with the contrast analysis device and is used for receiving the contrast and carrying out image segmentation processing on the audience seat image based on the contrast to obtain a plurality of sub-images, wherein the higher the contrast is, the more the number of the obtained sub-images is;
the area analysis equipment is connected with the self-adaptive processing equipment and used for receiving the plurality of sub-images, determining area segmentation thresholds corresponding to the sub-images based on the distribution condition of pixel values of all pixel points in each sub-image and outputting all area segmentation thresholds corresponding to all the sub-images;
the region correction device is respectively connected with the region analysis device and the whole analysis device, and is used for receiving the whole segmentation threshold and each region segmentation threshold, carrying out numerical value adjustment on each region segmentation threshold based on the whole segmentation threshold, and obtaining the adjusted region segmentation threshold to be used as a region adjustment threshold to be output;
the partitioning and dividing equipment is connected with the area correction equipment and is used for partitioning each sub-image by adopting a corresponding area adjustment threshold value so as to obtain a corresponding target sub-image, and combining all the target sub-images so as to obtain and output a target image to be processed;
the preprocessing device is connected with the block segmentation device and used for receiving the target image to be processed, detecting each target shape in the target image to be processed, deepening each detected target shape to obtain a corresponding deepened image, and outputting the deepened image;
the energy measuring equipment is connected with the preprocessing equipment and used for receiving the deepened image, determining the energy distributed in different frequency bands in the deepened image and outputting a plurality of frequency bands with energy less than or equal to a limited amount as a plurality of frequency bands to be processed;
the band-pass filtering equipment is distributed and connected with the energy measuring equipment and the preprocessing equipment and is used for receiving the plurality of frequency bands to be processed and the deepened image, performing band-pass filtering processing on the deepened image based on the plurality of frequency bands to be processed so as to obtain a band-pass filtering image which comes from the deepened image and has the plurality of frequency bands to be processed, and further obtaining a band-pass reserved image which is used for removing the band-pass filtering image from the deepened image;
the automatic gain device is connected with the band-pass filtering device and used for executing gain processing on the band-pass filtering image based on the dynamic distribution range of the band-pass filtering image so as to obtain and output a gain processing image;
the image integration equipment is respectively connected with the band-pass filtering equipment and the automatic gain equipment and is used for receiving the gain processing image and the band-pass retention image, integrating the gain processing image and the band-pass retention image to obtain and output an integrated image;
suspect identification equipment, connected to the image integration equipment, for receiving the integrated image, for identifying each audience face area from the integrated image based on a preset human face contour, and performing the following operations for each audience face area: carrying out suspect identification on the face area of the audience based on the face features of each suspect respectively, and sending out wanted numbers of the corresponding suspect when the identification is successful;
in the automatic gain device, the wider the dynamic distribution range of the band-pass filtered image is, the smaller the gain processing strength performed on the band-pass filtered image is;
the frequency division duplex communication interface is connected with the suspect identification equipment and is used for wirelessly sending the wanted number of the corresponding suspect to the nearest police service control center server;
in the preprocessing device, deepening each detected target outline to obtain a corresponding deepened image includes: and obtaining each pixel point forming each target shape in the target image to be processed, and reducing the pixel value of each obtained pixel point to sixty percent of the value of the pixel point.
2. The system for on-site identification of an audience mat identity of claim 1, wherein:
in the region correction device, numerically adjusting each region division threshold value based on the overall division threshold value includes: and adjusting the value of the region segmentation threshold value based on the difference value from the integral segmentation threshold value to each region segmentation threshold value.
3. The system for on-site identification of an audience mat of claim 2, wherein:
the preset parameter threshold range consists of a preset parameter upper threshold and a preset parameter lower threshold;
and the preset parameter upper limit threshold is smaller than the preset parameter lower limit threshold.
4. The system for on-site identification of an audience mat of claim 3, wherein:
in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one fourth of the difference.
5. The system for on-site identification of an audience mat of claim 4, wherein:
in the region correction apparatus, the numerically adjusting the region division threshold value based on the magnitude of the difference from the overall division threshold value to each region division threshold value includes: the adjusted region segmentation threshold is the sum of the region segmentation threshold and one half of the difference.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015025249A2 (en) * | 2013-08-23 | 2015-02-26 | Dor Givon | Methods, systems, apparatuses, circuits and associated computer executable code for video based subject characterization, categorization, identification, tracking, monitoring and/or presence response |
| CN106060472A (en) * | 2016-06-27 | 2016-10-26 | 张兰 | Intelligent device cloud platform management system |
| CN107248213A (en) * | 2017-06-13 | 2017-10-13 | 安徽禹缤体育科技有限公司 | A kind of user identity secure identification system applied to stadiums |
| CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8737745B2 (en) * | 2012-03-27 | 2014-05-27 | The Nielsen Company (Us), Llc | Scene-based people metering for audience measurement |
-
2018
- 2018-08-14 CN CN201810920632.8A patent/CN108985267B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015025249A2 (en) * | 2013-08-23 | 2015-02-26 | Dor Givon | Methods, systems, apparatuses, circuits and associated computer executable code for video based subject characterization, categorization, identification, tracking, monitoring and/or presence response |
| CN106060472A (en) * | 2016-06-27 | 2016-10-26 | 张兰 | Intelligent device cloud platform management system |
| CN107248213A (en) * | 2017-06-13 | 2017-10-13 | 安徽禹缤体育科技有限公司 | A kind of user identity secure identification system applied to stadiums |
| CN107967458A (en) * | 2017-12-06 | 2018-04-27 | 宁波亿拍客网络科技有限公司 | A kind of face identification method |
Non-Patent Citations (3)
| Title |
|---|
| Face recognition based on image sets;Hakan Cevikalp等;《2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition》;20100805;2567-2573 * |
| Multiple media based face recognition in unconstrained environments using eigenfaces;K. R. Sreelakshmi等;《2016 International Conference on Next Generation Intelligent Systems (ICNGIS)》;20170216;1-6 * |
| 复杂环境下的人脸识别研究;王盾等;《自动化应用》;20171125;75-78 * |
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