CN107958220A - A kind of face database compression processing method and its intelligent apparatus based on recognition of face - Google Patents

A kind of face database compression processing method and its intelligent apparatus based on recognition of face Download PDF

Info

Publication number
CN107958220A
CN107958220A CN201711282530.XA CN201711282530A CN107958220A CN 107958220 A CN107958220 A CN 107958220A CN 201711282530 A CN201711282530 A CN 201711282530A CN 107958220 A CN107958220 A CN 107958220A
Authority
CN
China
Prior art keywords
image information
face image
human face
candid photograph
face
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
Application number
CN201711282530.XA
Other languages
Chinese (zh)
Other versions
CN107958220B (en
Inventor
肖传宝
杜祖海
朱耿建
曾成元
郑达理
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Magic Point Technology Co Ltd
Original Assignee
Hangzhou Magic Point Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hangzhou Magic Point Technology Co Ltd filed Critical Hangzhou Magic Point Technology Co Ltd
Priority to CN201711282530.XA priority Critical patent/CN107958220B/en
Publication of CN107958220A publication Critical patent/CN107958220A/en
Application granted granted Critical
Publication of CN107958220B publication Critical patent/CN107958220B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172Classification, e.g. identification

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Television Signal Processing For Recording (AREA)
  • Image Processing (AREA)

Abstract

This application discloses a kind of face database compression processing method and its intelligent apparatus based on recognition of face, including:Obtain the candid photograph human face image information in video flowing;Face database is identified according to the candid photograph human face image information, obtains capturing the matched contrast human face image information of human face image information with described in the face database;The picture quality of the candid photograph human face image information and the contrast human face image information is contrasted, and in the case where the candid photograph human face image information picture quality is higher than the contrast human face image information picture quality, the candid photograph human face image information is replaced into the contrast human face image information and completes compression.By the way of contrast images in the image replacement face database higher by picture quality, reach reduction amount of storage, compressed the purpose of face database, and then solved in correlation technique since candid photograph face picture is excessive, cause the technical problem that amount of storage is huge.

Description

A kind of face database compression processing method and its intelligent apparatus based on recognition of face
Technical field
This application involves field of face identification, is handled in particular to a kind of face database compression based on recognition of face Method and its intelligent apparatus.
Background technology
Video monitoring is increasing in the effect that modern safety-security area plays, and application range is more and more wider, such as in recent years in state The safe city plan that family widelys popularize, relies on video monitoring and huge effect has been played in public safety-security area.
But the video monitoring system based on recognition of face of most of camera manufacturer and software vendor instantly, it is led Storage is carried out into system when then needs after if using Face detection and tracking technology, facial image is detected Capture, and face database is retrieved.Have a disadvantage in that, if same person appears in a camera more than once, meeting Cause same person to capture the multiple face pictures of storage within the regular hour, cause amount of storage huge, so being badly in need of a kind of base In the face database compression processing method and its intelligent apparatus of recognition of face, to solve in correlation technique due to capturing face picture mistake It is more, cause the technical problem that amount of storage is huge.
The content of the invention
The main purpose of the application is to provide a kind of face database compression processing method and its intelligence based on recognition of face Device, it is excessive due to capturing face picture in correlation technique to solve, cause the technical problem that amount of storage is huge.
This application provides a kind of face database compression processing method based on recognition of face, including:
Obtain the candid photograph human face image information in video flowing;
According to it is described candid photograph human face image information be identified in face database, obtain in the face database with the candid photograph people The contrast human face image information of face image information matches;
The picture quality of the candid photograph human face image information and the contrast human face image information is contrasted;And
If the candid photograph human face image information picture quality, will higher than the contrast human face image information picture quality The candid photograph human face image information replaces the contrast human face image information.
Further, the candid photograph human face image information obtained in video flowing, this method further include:
The plurality of pictures captured is decoded to the video flowing;
The time anchor point scope of the picture is marked;
Recognition of face is carried out to the picture described in multiple, the picture of the extraction with face characteristic is as the candid photograph Human face image information.
Further, it is described that face database is identified according to the candid photograph human face image information, obtain the face database In with the candid photograph matched contrast human face image information of human face image information, this method further includes:
The time shaft of the face database is divided into multiple constant time ranges, wherein, assignment is carried out to the constant time range duration;
The corresponding constant time range conduct on the face database time shaft is obtained according to the time anchor point scope of mark Target period section;
The candid photograph human face image information is identified with the face database in the target period section, is obtained described The matched contrast human face image information of human face image information is captured described in target period Duan Shangyu.
Further, it is described to contrast human face image information figure higher than described in the candid photograph human face image information picture quality In the case of image quality amount, the candid photograph human face image information is replaced into the contrast human face image information and completes compression, the party Method further includes:
The contrast human face image information in the face database is replaced with the candid photograph facial image to be stored;
The time anchor point scope of the candid photograph facial image is stored.
Further, the video flowing in real time is obtained by video monitoring system.
Further, the recognition of face is the bio-identification of face.
Present invention also provides a kind of intelligent apparatus, including:
Acquisition module, for obtaining the candid photograph human face image information in video flowing;
Identification module, for face database to be identified according to the candid photograph human face image information, obtains the face database In with it is described candid photograph the matched contrast human face image information of human face image information;
Contrast module, for it is described candid photograph human face image information with it is described contrast human face image information picture quality into Row contrast;
Replacement module, for contrasting human face image information figure higher than described in the candid photograph human face image information picture quality In the case of image quality amount, the candid photograph human face image information is replaced into the contrast human face image information and completes compression.
Further, decoder module, for being decoded the plurality of pictures captured to the video flowing;
Mark module, for the time anchor point scope of the picture to be marked;
The identification module, is additionally operable to carry out the picture described in multiple recognition of face detection, extraction has face characteristic The picture as the candid photograph human face image information.
Further, module is split, for the time shaft of the face database to be divided into multiple constant time ranges, wherein, to institute The constant time range duration stated carries out assignment;
Acquisition module, for obtaining corresponding institute on the face database time shaft according to the time anchor point scope of mark Constant time range is stated as target period section;
The identification module, is additionally operable to the candid photograph human face image information and the face in the target period section Storehouse is identified, and obtains capturing the matched contrast facial image letter of human face image information described in the target period Duan Shangyu Breath.
Further, the memory module, for the contrast human face image information in the face database to be replaced with The candid photograph facial image is stored;It is additionally operable to be stored the time anchor point scope of the candid photograph facial image.
In the embodiment of the present application, using the side that contrast images in face database are replaced by the higher image of picture quality Formula, has reached reduction amount of storage, compresses the purpose of face database, it is achieved thereby that when capturing multiple face pictures, extraction image quality is most The technique effect that high picture is stored, and then solve in correlation technique since candid photograph face picture is excessive, cause to store Measure huge technical problem.
Brief description of the drawings
The attached drawing for forming the part of the application is used for providing further understanding of the present application so that the application's is other Feature, objects and advantages become more apparent upon.The illustrative examples attached drawing and its explanation of the application is used to explain the application, not Form the improper restriction to the application.In the accompanying drawings:
Fig. 1 is the embodiment schematic diagram of the application compression processing method work flow diagram;And
Fig. 2 is the schematic diagram of the application intelligent apparatus Organization Chart.
Embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction with the embodiment of the present application Attached drawing, is clearly and completely described the technical solution in the embodiment of the present application, it is clear that described embodiment is only The embodiment of the application part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people Member's all other embodiments obtained without making creative work, should all belong to the model of the application protection Enclose.
It should be noted that term " first " in the description and claims of this application and above-mentioned attached drawing, " Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so use Data can exchange in the appropriate case, so as to embodiments herein described herein.In addition, term " comprising " and " tool Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing series of steps or unit Process, method, system, product or equipment are not necessarily limited to those steps clearly listed or unit, but may include without clear It is listing to Chu or for the intrinsic other steps of these processes, method, product or equipment or unit.
It should be noted that in the case where there is no conflict, the feature in embodiment and embodiment in the application can phase Mutually combination.Describe the application in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in Figure 1, this method includes steps S101 to step S104:
Step S101, obtains the candid photograph human face image information in video flowing;
Step S102, according to it is described candid photograph human face image information be identified in face database, obtain in the face database with The candid photograph matched contrast human face image information of human face image information;
Step S103, carries out pair the picture quality of the candid photograph human face image information and the contrast human face image information Than, and
Step S104, if the candid photograph human face image information picture quality is higher than the contrast human face image information image Quality, then replace the contrast human face image information by the candid photograph human face image information.
First, the candid photograph human face image information in the video flowing of acquisition, the image information knowledge mainly to face here Not, it can be according to specific needs adjusted in practical application, capture image object that other needs monitor and (for example arm, match somebody with somebody Decorations etc.).Then, according to it is described candid photograph human face image information the face database is identified, obtain in the face database with It is described candid photograph the matched contrast human face image information of human face image information, specifically, face database herein be before by time shaft The face picture storehouse (can also be the picture library of other main bodys) being together in series, retrieval pair is carried out according to human face image information is captured Than identifying occurrence (i.e. described contrast human face image information).To the candid photograph human face image information and the contrast face The picture quality of image information is contrasted, contrast at this time, and contrast is picture quality.Select the picture of a better quality Carry out follow-up storage work.If the candid photograph human face image information quality is higher, then can be carried out replacing.Cross herein Cheng Zhong, it is seen that face database eventually only keeps the quantity in original face database for the facial image of same people.It will not produce The problem of raw same person is continuously increased its facial image, realizes the function of compression face database.Because the people in correlation technique Face storehouse can constantly increase according to the candid photograph human face image information that newly obtains, in the present embodiment, data using picture as Carrier.This method extend also to signal, data compression field in, the candid photograph human face image information herein, state pair Only picture is also not necessarily limited to than human face image information, it is also possible to data, the form of signal.
In another alternative embodiment, the candid photograph human face image information obtained in video flowing, including:
Step a:The plurality of pictures captured is decoded to the video flowing;
Step b:The time anchor point scope of the picture is marked;
Step c:Recognition of face detection, the picture conduct of the extraction with face characteristic are carried out to the picture described in multiple The candid photograph human face image information.
Secondly, except in above-described embodiment for image acquisition in itself in addition to, will also be to it in the video flowing Time anchor point scope is marked, the step of for may subsequently use in.Specifically, the video flowing is decoded to obtain Picture described in multiple, the picture herein include the picture for having face characteristic, also include the figure of no face characteristic Piece.(picture only having powerful connections) while the picture is obtained, to it in the video flowing during specific on time shaft Intermediate node, i.e., described time anchor point scope are marked;
After carrying out recognition of face detection to the pictorial information, using the picture with face characteristic as above-mentioned implementation The candid photograph human face image information in example, carries out subsequent step.
It is described that face database is identified according to the candid photograph human face image information in another alternative embodiment, obtain In the face database with it is described candid photograph the matched contrast human face image information of human face image information, including:
Step 1:The time shaft of the face database is divided into multiple constant time ranges, wherein, progress during to the constant time range Row assignment;
Step 2:The corresponding cycle on the face database time shaft is obtained according to the time anchor point scope of mark Duan Zuowei target period sections;
Step 3:The candid photograph human face image information is identified with the face database in the target period section, Obtain capturing the matched contrast human face image information of human face image information described in the target period Duan Shangyu.
Again, in addition to the step in above-described embodiment, same people only has in the whole video flowing in order to prevent One pictures (being also likely to be a data), carry out period divisions, specifically, by the people by the time shaft of whole video flowing The time shaft in face storehouse is divided into multiple constant time ranges, wherein, assignment (assignment is assumed to be Q) is carried out to the constant time range duration;Root Constant time range corresponding on the whole time shaft of video flowing is obtained according to the time anchor point scope marked in above-mentioned steps, should Constant time range is the target period section;In this embodiment, it is clear that the time shaft of the face database should be with the video flowing Time shaft correspond.Number of the people under different cycles so will be periodically preserved in whole video flowing According to data (i.e. picture or data message).
It is described to be higher than the contrast face in the candid photograph human face image information picture quality in another alternative embodiment In the case of image information picture quality, the candid photograph human face image information is replaced into the contrast human face image information and is completed Compression,
The contrast human face image information in the face database is replaced with the candid photograph facial image to be stored;
The time anchor point scope of the candid photograph facial image is stored.
Except above-mentioned compression is handled, it should also record its time anchor point scope and be used for counter look into and reference.
In another alternative embodiment, including:
The video flowing in real time is obtained by video monitoring system in correlation technique, can also be by other means Carry out acquisition information flow.
In another alternative embodiment, including:
The recognition of face is the biological identification technology of face.It is of course also possible to use other modes carry out face Identification.
Specific embodiment is as follows:
The video flowing in real time is obtained by the video monitoring system, decoding is carried out to the video flowing and obtains multiple Picture, carries out picture multiple described the mark of time anchor point scope one by one.Face knowledge is carried out to multiple the above-mentioned picture Not, the step of picture with face characteristic is retained as to the candid photograph human face image information, carries out next step.It is right The step of time anchor point scope is marked can also be placed on after recognition of face step, reduce treating capacity, just for The picture of face characteristic is marked, and the picture of no face characteristic is then abandoned handling.The picture for possessing the face characteristic turns Turn to the candid photograph human face image information;The candid photograph human face image information can not only exist in the form of picture, also may be used To be related corresponding data message.
According to the candid photograph human face image information by the retrieval to face database, the data pattern in face database should use Data model that is corresponding with the candid photograph human face image information and can contrasting.Find data (the i.e. institute of the same people of Corresponding matching The contrast human face image information stated), if the quality of data higher captured in human face image information is (specifically, i.e. described Picture quality higher), then, in face database it is corresponding it is described contrast human face image information be replaced renewal.In addition, such as The picture quality higher of human face image information is contrasted described in fruit, then abandons replacing renewal, still retains original contrast people Face image information.
Based on above-mentioned basic skills, the figure for updating a needs is only replaced in a video flowing in order to prevent Piece or related data, omit important picture or data.So the face database is divided into constant time range, in each constant time range Same main body (picture or data message of same face) can be stored down.Utilize the above-mentioned time to the picture The mark of anchor point scope, the constant time range of the corresponding video flowing are contrasted, replaced, preserved.
It can be seen from the above description that the present invention realizes following technique effect:
In the embodiment of the present application, using the side that contrast images in face database are replaced by the higher image of picture quality Formula, has reached reduction amount of storage, compresses the purpose of face database, it is achieved thereby that when capturing multiple face pictures, extraction image quality is most The technique effect that high picture is stored, and then solve in correlation technique since candid photograph face picture is excessive, cause to store Measure huge technical problem.
In addition, by by the carry out constant time range segmentation of the face database, it is therefore prevented that same target in the video flowing only A picture or data are stored, omit the situation of important information.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions Performed in computer system, although also, show logical order in flow charts, in some cases, can be with not The order being same as herein performs shown or described step.
According to embodiments of the present invention, a kind of intelligent apparatus for being used to implement above-mentioned compression method is additionally provided, such as Fig. 2 institutes Show, which includes:
Acquisition module 101, for obtaining the candid photograph human face image information in video flowing;
Identification module 102, for face database to be identified according to the candid photograph human face image information, obtains the face In storehouse the matched contrast human face image information of human face image information is captured with described;
Contrast module 103, for the image matter to the candid photograph human face image information and the contrast human face image information Amount is contrasted;
Replacement module 104, for believing in the candid photograph human face image information picture quality higher than the contrast facial image In the case of ceasing picture quality, the candid photograph human face image information is replaced into the contrast human face image information and completes compression.
Further, decoder module, for being decoded the plurality of pictures captured to the video flowing;
Mark module, for the time anchor point scope of the picture to be marked;
The identification module 102, is additionally operable to carry out the pictorial information described in multiple recognition of face detection, extraction has people The picture of face feature is as the candid photograph human face image information.
Further, module is split, for the time shaft of the face database to be divided into multiple constant time ranges, wherein, to institute The constant time range duration stated carries out assignment;
The acquisition module 101, for obtaining the face database time shaft according to the time anchor point scope of mark The corresponding constant time range is as target period section;
The identification module, is additionally operable to the candid photograph human face image information and the face in the target period section Storehouse is identified, and obtains capturing the matched contrast facial image letter of human face image information described in the target period Duan Shangyu Breath.
Further, the memory module, for the contrast human face image information in the face database to be replaced with The candid photograph facial image is stored;It is additionally operable to be stored the time anchor point scope of the candid photograph facial image.
Obviously, those skilled in the art should be understood that above-mentioned each module of the invention or each step can be with general Computing device realize that they can be concentrated on single computing device, or be distributed in multiple computing devices and formed Network on, alternatively, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored Performed in the storage device by computing device, either they are fabricated to respectively each integrated circuit modules or by they In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the present invention be not restricted to it is any specific Hardware and software combines.
The present invention a kind of candid photograph face database compression method and system based on recognition of face, utilize recognition of face bio-identification Technology, matching retrieval is carried out to the history face captured in a period of time, will face figure twice if matching history face As boil down to one opens image (with low-quality one of the substitution of picture quality high one), while record the time anchor of this candid photograph Point range data, have access to corresponding storage video flowing data are counter and looked into for passage time anchor point scope.
The foregoing is merely the preferred embodiment of the application, the application is not limited to, for the skill of this area For art personnel, the application can have various modifications and variations.It is all within spirit herein and principle, made any repair Change, equivalent substitution, improvement etc., should be included within the protection domain of the application.

Claims (10)

  1. A kind of 1. face database compression processing method based on recognition of face, it is characterised in that including:
    Obtain the candid photograph human face image information in video flowing;
    It is identified according to the candid photograph human face image information in face database, obtains capturing face figure with described in the face database As the contrast human face image information of information matches;
    The picture quality of the candid photograph human face image information and the contrast human face image information is contrasted;And
    If the candid photograph human face image information picture quality is higher than the contrast human face image information picture quality, by described in Candid photograph human face image information replace the contrast human face image information.
  2. 2. the face database compression processing method according to claim 1 based on recognition of face, it is characterised in that the acquisition Candid photograph human face image information in video flowing, this method further include:
    The plurality of pictures captured is decoded to the video flowing;
    The time anchor point scope of the picture is marked;
    Recognition of face is carried out to the picture described in multiple, the picture of the extraction with face characteristic is as the candid photograph face Image information.
  3. 3. the face database compression processing method according to claim 2 based on recognition of face, it is characterised in that the basis Face database is identified in the candid photograph human face image information, obtains capturing human face image information with described in the face database The contrast human face image information matched somebody with somebody, this method further include:
    The time shaft of the face database is divided into multiple constant time ranges, wherein, the duration of the constant time range is preset;
    According to the corresponding constant time range on the time anchor point scope of the mark acquisition face database time shaft as target Constant time range;
    The candid photograph human face image information is identified with the face database in the target period section, obtains the target On constant time range the matched contrast human face image information of human face image information is captured with described.
  4. 4. the face database compression processing method according to claim 3 based on recognition of face, it is characterised in that described in institute State in the case of capturing human face image information picture quality higher than the contrast human face image information picture quality, described is grabbed Clap human face image information and replace the contrast human face image information completion compression, this method further includes:
    The contrast human face image information in the face database is replaced with the candid photograph facial image to be stored;
    The time anchor point scope of the candid photograph human face image information is stored.
  5. 5. the face database compression processing method according to claim 1 based on recognition of face, it is characterised in that pass through video Monitoring system obtains the video flowing in real time.
  6. 6. the face database compression processing method according to claim 2 based on recognition of face, it is characterised in that the face It is identified as the bio-identification of face.
  7. A kind of 7. intelligent apparatus, it is characterised in that including:
    Acquisition module, for obtaining the candid photograph human face image information in video flowing;
    Identification module, for according to it is described candid photograph human face image information face database is identified, obtain in the face database with The candid photograph matched contrast human face image information of human face image information;
    Contrast module, for being carried out pair to the picture quality of the candid photograph human face image information and the contrast human face image information Than;
    Replacement module, for contrasting human face image information image matter higher than described in the candid photograph human face image information picture quality In the case of amount, the candid photograph human face image information is replaced into the contrast human face image information and completes compression.
  8. 8. intelligent apparatus according to claim 7, it is characterised in that
    Decoder module, for being decoded the plurality of pictures captured to the video flowing;
    Mark module, for the time anchor point scope of the picture to be marked;
    The identification module, is additionally operable to carry out the picture described in multiple recognition of face detection, institute of the extraction with face characteristic Picture is stated as the candid photograph human face image information.
  9. 9. intelligent apparatus according to claim 7, it is characterised in that
    Split module, for the time shaft of the face database to be divided into multiple constant time ranges, wherein, to the constant time range duration Carry out assignment;
    The acquisition module, for obtaining corresponding institute on the face database time shaft according to the time anchor point scope of mark Constant time range is stated as target period section;
    The identification module, be additionally operable to by the face database in candid photograph human face image information and the target period section into Row identification, obtains capturing the matched contrast human face image information of human face image information described in the target period Duan Shangyu.
  10. 10. intelligent apparatus according to claim 9, it is characterised in that;
    Memory module, for by the contrast human face image information in the face database replace with it is described candid photograph facial image into Row storage;It is additionally operable to be stored the time anchor point scope of the candid photograph facial image.
CN201711282530.XA 2017-12-06 2017-12-06 Face library compression processing method based on face recognition and intelligent device thereof Active CN107958220B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711282530.XA CN107958220B (en) 2017-12-06 2017-12-06 Face library compression processing method based on face recognition and intelligent device thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711282530.XA CN107958220B (en) 2017-12-06 2017-12-06 Face library compression processing method based on face recognition and intelligent device thereof

Publications (2)

Publication Number Publication Date
CN107958220A true CN107958220A (en) 2018-04-24
CN107958220B CN107958220B (en) 2021-03-12

Family

ID=61958230

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711282530.XA Active CN107958220B (en) 2017-12-06 2017-12-06 Face library compression processing method based on face recognition and intelligent device thereof

Country Status (1)

Country Link
CN (1) CN107958220B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109903412A (en) * 2019-02-01 2019-06-18 北京清帆科技有限公司 A kind of intelligent check class attendance system based on face recognition technology
CN110196924A (en) * 2019-05-31 2019-09-03 银河水滴科技(北京)有限公司 The building in characteristic information library, the method for tracing of target object and device
CN110719398A (en) * 2018-07-12 2020-01-21 浙江宇视科技有限公司 Face snapshot object determination method and device
CN111161206A (en) * 2018-11-07 2020-05-15 杭州海康威视数字技术股份有限公司 Image capturing method, monitoring camera and monitoring system
CN111831841A (en) * 2019-04-19 2020-10-27 杭州海康威视数字技术股份有限公司 Information retrieval method and device, electronic equipment and storage medium
CN112560772A (en) * 2020-12-25 2021-03-26 北京百度网讯科技有限公司 Face recognition method, device, equipment and storage medium
CN112908031A (en) * 2019-11-19 2021-06-04 丰田自动车株式会社 Image processing system, processing device, relay device, and recording medium
CN113283305A (en) * 2021-04-29 2021-08-20 百度在线网络技术(北京)有限公司 Face recognition method and device, electronic equipment and computer readable storage medium
US20230112822A1 (en) * 2021-10-08 2023-04-13 Realtek Semiconductor Corporation Character recognition method, character recognition device and non-transitory computer readable medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103942525A (en) * 2013-12-27 2014-07-23 高新兴科技集团股份有限公司 Real-time face optimal selection method based on video sequence
JP2015011555A (en) * 2013-06-28 2015-01-19 キヤノン株式会社 Image processing apparatus, image processing method, and program
CN105389566A (en) * 2015-11-13 2016-03-09 广东欧珀移动通信有限公司 Fingerprint identification method, fingerprint template updating method, fingerprint template updating device and mobile terminal
CN105938552A (en) * 2016-06-29 2016-09-14 北京旷视科技有限公司 Face recognition method capable of realizing base image automatic update and face recognition device
CN106548148A (en) * 2016-10-26 2017-03-29 北京意泰物联软件科技有限公司 The recognition methodss of unknown face and system in video
CN107358146A (en) * 2017-05-22 2017-11-17 深圳云天励飞技术有限公司 Method for processing video frequency, device and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015011555A (en) * 2013-06-28 2015-01-19 キヤノン株式会社 Image processing apparatus, image processing method, and program
CN103942525A (en) * 2013-12-27 2014-07-23 高新兴科技集团股份有限公司 Real-time face optimal selection method based on video sequence
CN105389566A (en) * 2015-11-13 2016-03-09 广东欧珀移动通信有限公司 Fingerprint identification method, fingerprint template updating method, fingerprint template updating device and mobile terminal
CN105938552A (en) * 2016-06-29 2016-09-14 北京旷视科技有限公司 Face recognition method capable of realizing base image automatic update and face recognition device
CN106548148A (en) * 2016-10-26 2017-03-29 北京意泰物联软件科技有限公司 The recognition methodss of unknown face and system in video
CN107358146A (en) * 2017-05-22 2017-11-17 深圳云天励飞技术有限公司 Method for processing video frequency, device and storage medium

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110719398B (en) * 2018-07-12 2021-07-20 浙江宇视科技有限公司 Face snapshot object determination method and device
CN110719398A (en) * 2018-07-12 2020-01-21 浙江宇视科技有限公司 Face snapshot object determination method and device
CN111161206A (en) * 2018-11-07 2020-05-15 杭州海康威视数字技术股份有限公司 Image capturing method, monitoring camera and monitoring system
CN109903412A (en) * 2019-02-01 2019-06-18 北京清帆科技有限公司 A kind of intelligent check class attendance system based on face recognition technology
CN111831841A (en) * 2019-04-19 2020-10-27 杭州海康威视数字技术股份有限公司 Information retrieval method and device, electronic equipment and storage medium
CN111831841B (en) * 2019-04-19 2023-09-05 杭州海康威视数字技术股份有限公司 Information retrieval method, device, electronic equipment and storage medium
CN110196924A (en) * 2019-05-31 2019-09-03 银河水滴科技(北京)有限公司 The building in characteristic information library, the method for tracing of target object and device
CN112908031A (en) * 2019-11-19 2021-06-04 丰田自动车株式会社 Image processing system, processing device, relay device, and recording medium
CN112560772A (en) * 2020-12-25 2021-03-26 北京百度网讯科技有限公司 Face recognition method, device, equipment and storage medium
CN112560772B (en) * 2020-12-25 2024-05-14 北京百度网讯科技有限公司 Face recognition method, device, equipment and storage medium
CN113283305A (en) * 2021-04-29 2021-08-20 百度在线网络技术(北京)有限公司 Face recognition method and device, electronic equipment and computer readable storage medium
CN113283305B (en) * 2021-04-29 2024-03-26 百度在线网络技术(北京)有限公司 Face recognition method, device, electronic equipment and computer readable storage medium
US20230112822A1 (en) * 2021-10-08 2023-04-13 Realtek Semiconductor Corporation Character recognition method, character recognition device and non-transitory computer readable medium
US11922710B2 (en) * 2021-10-08 2024-03-05 Realtek Semiconductor Corporation Character recognition method, character recognition device and non-transitory computer readable medium

Also Published As

Publication number Publication date
CN107958220B (en) 2021-03-12

Similar Documents

Publication Publication Date Title
CN107958220A (en) A kind of face database compression processing method and its intelligent apparatus based on recognition of face
CN104794462B (en) A kind of character image processing method and processing device
CN110297943B (en) Label adding method and device, electronic equipment and storage medium
CN110381369A (en) Determination method, apparatus, equipment and the storage medium of recommendation information implantation position
JP7261296B2 (en) Target object recognition system, method, apparatus, electronic device, and recording medium
WO2020073709A1 (en) Multi-camera multi-face video continuous acquisition device and method
CN110427859A (en) A kind of method for detecting human face, device, electronic equipment and storage medium
Wang et al. First-person daily activity recognition with manipulated object proposals and non-linear feature fusion
CN104915351A (en) Picture sorting method and terminal
CN108305223B (en) Image background blurring processing method and device
CN106295618A (en) A kind of personal identification method and device based on video image
CN108921204A (en) Electronic device, picture sample set creation method and computer readable storage medium
CN103428537A (en) Video processing method and video processing device
CN106056138A (en) Picture processing device and method
CN108563651A (en) A kind of Target Searching Method, device and the equipment of more videos
CN113011403A (en) Gesture recognition method, system, medium, and device
CN106165017A (en) Allow to carry out the instant scene Recognition of scene associated picture amendment before image record or display
TWI602434B (en) Photographing system for long-distance running event and operation method thereof
CN109558798A (en) One kind being based on the matched face identification method of convolution characteristic pattern and system
CN104104860B (en) Object images detection device and its control method and control program, recording medium
CN110019863B (en) Object searching method and device, terminal equipment and storage medium
CN110245648A (en) The alert system of wisdom list based on Identification of Images
CN110166836A (en) A kind of TV program switching method, device, readable storage medium storing program for executing and terminal device
CN106714099A (en) Photograph information processing and scenic spot identification method, client and server
CN109784218A (en) A kind of archiving method and device

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