CN110032967A - A method of trailing personnel are identified under the current scene of more people - Google Patents
A method of trailing personnel are identified under the current scene of more people Download PDFInfo
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- CN110032967A CN110032967A CN201910284717.6A CN201910284717A CN110032967A CN 110032967 A CN110032967 A CN 110032967A CN 201910284717 A CN201910284717 A CN 201910284717A CN 110032967 A CN110032967 A CN 110032967A
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- personnel
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- people
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 239000000284 extract Substances 0.000 claims description 3
- 210000004709 eyebrow Anatomy 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 230000007812 deficiency Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 210000000887 face Anatomy 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Collating Specific Patterns (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a kind of methods that trailing personnel are identified under the current scene of more people, comprising: carries out Face datection to the video pictures of shooting;Judge in video pictures with the presence or absence of face;If so, extracting the human face data in video pictures;Identification is carried out to the personnel in video pictures according to human face data;Identity information after identification is pushed into display screen;Judge whether the personnel in video pictures have right of access;If it is not, then display screen according to the location of the personnel in video pictures carries out corresponding prompt and guidance to it.The present invention is by carrying out Face datection to the personnel in video pictures, the trailing personnel that not right of access can be effectively prevented enter current gate mouth, and for the mode of this long-range identification face, so that not needing to slow down or stand firm when current in current gate mouth, and then quick passage may be implemented, flexibly and effectively big flow entrance can be managed.
Description
Technical field
The present invention relates to recognition of face, more specifically a kind of side that trailing personnel are identified under the current scene of more people
Method.
Background technique
The logic that is commonly designed of the current security system of personnel is: current door default is closed, and ordinary person is impassable.When having
After the people of right of access is authenticated by modes such as recognition of face, two dimensional code, IC card, current door is let pass.
But such operation is in the presence of the security risk that can not identify " trailing " behavior: after i.e. someone passes through authentication, without logical
The people of row permission can trail the people by gate inhibition, system trailing personnel can not timely be identified, be prompted, being guided or
Warning.
Summary of the invention
It is identified under the current scene of more people it is an object of the invention to overcome the deficiencies of the prior art and provide one kind and trails people
The method of member.
To achieve the above object, the invention adopts the following technical scheme: people is trailed in a kind of identification under the current scene of more people
The method of member, which comprises
Face datection is carried out to the video pictures of shooting;
Judge in video pictures with the presence or absence of face;
If so, extracting the human face data in video pictures;
Identification is carried out to the personnel in video pictures according to human face data;
Identity information after identification is pushed into display screen;
Judge whether the personnel in video pictures have right of access;
If it is not, then display screen according to the location of the personnel in video pictures carries out corresponding prompt and guidance to it.
Its further technical solution are as follows: whether there is face step in the judgement video pictures, specifically include following
Step:
Video pictures are filtered;
Judge whether to obtain face feature point from filtering, wherein face feature point include face contour, eyebrow, nose,
Eyes and lip;
If so, obtaining the position of face feature point;
The position of face feature point and average characteristics face are compared;
Judge whether comparing result meets threshold requirement;
If so, can determine that is a face.
Its further technical solution are as follows: the human face data step extracted in video pictures specifically includes following step
It is rapid:
Cut all people's face region picture in video pictures;
Extract face recognition features' point in human face region picture;
Characteristic value calculating is carried out to face recognition features' point.
Its further technical solution are as follows: described that identification step is carried out to the personnel in video pictures according to human face data
Suddenly, specifically includes the following steps:
Access white list face information;
Characteristic value and white list face information are compared;
Judge whether the personnel in video pictures are personnel in white list;
If so, transferring the identity information that the personnel in video pictures store in white list, and in marking video picture
Personnel be white list personnel;
If it is not, then intercepting the image of counterpart personnel in video pictures as identity information, and the people in marking video picture
Member is non-white list personnel.
Its further technical solution are as follows: whether the personnel judged in video pictures have right of access step, tool
Body the following steps are included:
Judge whether it is white list personnel;
If so, issuing right of access voucher;
If it is not, then judging whether the personnel in video pictures are disadvantaged group personnel, wherein disadvantaged group personnel include old
People, child, pregnant woman or disabled person;
If so, notifying current gate mouth administrative staff.
Its further technical solution are as follows: the display screen carries out it according to the location of the personnel in video pictures
Corresponding prompt and directing step, specifically includes the following steps:
It obtains according to the location of personnel in video pictures information;
Judge whether the personnel in video pictures enter first area;
If so, display screen plays leading question, the personnel in video pictures is guided to register or leave;
If it is not, then judging whether the personnel in video pictures enter second area;
If so, display screen carries out voice warning, while warning message is pushed to Security Personnel.
Its further technical solution are as follows: the first area is warning zone, and the second area is expulsion region;It is described
The distance between region and current gate mouth is expelled to be less than the distance between the warning zone and current gate mouth.
Compared with the prior art, the invention has the advantages that: one kind provided by the invention identifies under the current scene of more people
The method of trailing personnel can be effectively prevented no right of access by carrying out Face datection to the personnel in video pictures
Trailing personnel enter current gate mouth, and for the mode of this long-range identification face, so that not needing to subtract when current
Speed is stood firm in current gate mouth, and then quick passage may be implemented, can flexibly and effectively to big flow entrance into
Row management.In addition, entrance can be reduced to the people of Security Personnel by identification, guidance, alarm to no right of access personnel
Force request, to reduce costs.
The above description is only an overview of the technical scheme of the present invention, can in order to better understand technical measure
It is implemented in accordance with the contents of the specification, and in order to make above and other objects of the present invention, feature and advantage brighter
Show understandable, special below to lift preferred embodiment, detailed description are as follows.
Detailed description of the invention
Fig. 1 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
One;
Fig. 2 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
Two;
Fig. 3 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
Three;
Fig. 4 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
Four;
Fig. 5 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
Five;
Fig. 6 is a kind of flow chart for the method specific embodiment that trailing personnel are identified under the current scene of more people of the present invention
Six.
Specific embodiment
In order to more fully understand technology contents of the invention, combined with specific embodiments below to technical solution of the present invention into
One step introduction and explanation, but not limited to this.
It should be appreciated that herein, relational terms such as first and second and the like are used merely to an entity/behaviour
Work/object is distinguished with another entity/operation/object, without necessarily requiring or implying these entity/operation/objects
Between there are any actual relationship or orders.
It is also understood that the terms "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion,
So that the process, method, article or the system that include a series of elements not only include those elements, but also including not having
The other element being expressly recited, or further include for this process, method, article or the intrinsic element of system.Do not having
In the case where having more limitations, the element that is limited by sentence "including a ...", it is not excluded that include the element process,
There is also other identical elements in method, article or system.
As shown in figures 1 to 6, the present invention provides a kind of method that trailing personnel are identified under the current scene of more people, this method
Include:
S10, Face datection is carried out to the video pictures of shooting;
S20, judge in video pictures with the presence or absence of face, if so, S30, human face data in video pictures is then extracted, if
It is no, then return step S10;
S40, identification is carried out to the personnel in video pictures according to human face data;
S50, the identity information after identification is pushed into display screen;
S60, judge whether the personnel in video pictures have right of access;If it is not, S70, then display screen is drawn according to video
The location of personnel in face carry out corresponding prompt and guidance to it, if so, S80, then allowing to pass through.
Specifically, in step S10, picture that video pictures are shot from camera.
Further, step S20 specifically includes the following steps:
S201, video pictures are filtered;
S202, judge whether to obtain face feature point from filtering, wherein face feature point include face contour, eyebrow,
Nose, eyes and lip, if so, S203, the position of face feature point is then obtained, if it is not, then return step S201;
S204, the position of face feature point and average characteristics face are compared;
S205, judge whether comparing result meets threshold requirement, if so, S2051, then can determine that it is a face, if it is not,
S2052, a face is not constituted.
Specifically, threshold value represents the goodness of fit of face feature point Yu average characteristics face in step S205, threshold value can basis
Corresponding comparison rule is set.
Further, step S30 specifically includes the following steps:
S301, all people's face region picture in video pictures is cut;
Face recognition features' point in S302, extraction human face region picture;
S303, characteristic value calculating is carried out to face recognition features' point.
Specifically, needing to require to cut to each face when there is multiple faces in video pictures.
Further, step S40 specifically includes the following steps:
S401, access white list face information;
S402, characteristic value and white list face information are compared;
S403, judge whether personnel in video pictures are personnel in white list, if so, S4031, then transferring video picture
The identity information that personnel in face store in white list, and the personnel in marking video picture are white list personnel, if it is not,
S4032, the image of counterpart personnel in video pictures is then intercepted as identity information, and the personnel in marking video picture are non-white
List personnel.
Further, step S60 specifically includes the following steps:
S601, judge whether it is white list personnel;If so, S6012, issue right of access voucher, if it is not, S6011, then
Judge whether the personnel in video pictures are disadvantaged group personnel, wherein disadvantaged group personnel include old man, child, pregnant woman or
Disabled person;
If so, S60111, current gate mouth administrative staff are then notified, if it is not, then portion issues right of access voucher to S60112.
Further, step S70 specifically includes the following steps:
S701, it obtains according to the location of personnel in video pictures information;
S702, judge whether the personnel in video pictures enter first area, if so, S704, then display screen play guidance
Language guides the personnel in video pictures to register or leave, if it is not, S703, then judging whether is personnel in video pictures
Into second area;
If so, S705, then display screen carry out voice warning, while warning message is pushed to Security Personnel, if it is not, then returning
Step S701.
Specifically, first area is warning zone, second area is expulsion region;It expels between region and current gate mouth
Distance be less than the distance between warning zone and current gate mouth.
It is above-mentioned that technology contents of the invention are only further illustrated with embodiment, in order to which reader is easier to understand, but not
It represents embodiments of the present invention and is only limitted to this, any technology done according to the present invention extends or recreation, by of the invention
Protection.Protection scope of the present invention is subject to claims.
Claims (7)
1. a kind of method for identifying trailing personnel under the current scene of more people, which is characterized in that the described method includes:
Face datection is carried out to the video pictures of shooting;
Judge in video pictures with the presence or absence of face;
If so, extracting the human face data in video pictures;
Identification is carried out to the personnel in video pictures according to human face data;
Identity information after identification is pushed into display screen;
Judge whether the personnel in video pictures have right of access;
If it is not, then display screen according to the location of the personnel in video pictures carries out corresponding prompt and guidance to it.
2. a kind of method for identifying trailing personnel under the current scene of more people according to claim 1, which is characterized in that institute
It whether there is face step in the judgement video pictures stated, specifically includes the following steps:
Video pictures are filtered;
Judge whether to obtain face feature point from filtering, wherein face feature point includes face contour, eyebrow, nose, eyes
And lip;
If so, obtaining the position of face feature point;
The position of face feature point and average characteristics face are compared;
Judge whether comparing result meets threshold requirement;
If so, can determine that is a face.
3. a kind of method for identifying trailing personnel under the current scene of more people according to claim 1, which is characterized in that institute
That states extracts the human face data step in video pictures, specifically includes the following steps:
Cut all people's face region picture in video pictures;
Extract face recognition features' point in human face region picture;
Characteristic value calculating is carried out to face recognition features' point.
4. a kind of method for identifying trailing personnel under the current scene of more people according to claim 3, which is characterized in that institute
That states carries out identification step to the personnel in video pictures according to human face data, specifically includes the following steps:
Access white list face information;
Characteristic value and white list face information are compared;
Judge whether the personnel in video pictures are personnel in white list;
If so, transferring the identity information that the personnel in video pictures store in white list, and the people in marking video picture
Member is white list personnel;
If it is not, then intercepting the image of counterpart personnel in video pictures as identity information, and the personnel in marking video picture are
Non- white list personnel.
5. a kind of method for identifying trailing personnel under the current scene of more people according to claim 4, which is characterized in that institute
Whether the personnel judged in video pictures stated have right of access step, specifically includes the following steps:
Judge whether it is white list personnel;
If so, issuing right of access voucher;
If it is not, then judge whether the personnel in video pictures are disadvantaged group personnel, wherein disadvantaged group personnel include old man, it is small
Child, pregnant woman or disabled person;
If so, notifying current gate mouth administrative staff.
6. a kind of method for identifying trailing personnel under the current scene of more people according to claim 1, which is characterized in that institute
The display screen stated carries out corresponding prompt and directing step to it according to the location of the personnel in video pictures, specifically includes
Following steps:
It obtains according to the location of personnel in video pictures information;
Judge whether the personnel in video pictures enter first area;
If so, display screen plays leading question, the personnel in video pictures is guided to register or leave;
If it is not, then judging whether the personnel in video pictures enter second area;
If so, display screen carries out voice warning, while warning message is pushed to Security Personnel.
7. a kind of method for identifying trailing personnel under the current scene of more people according to claim 6, which is characterized in that institute
Stating first area is warning zone, and the second area is expulsion region;Between the expulsion region and current gate mouth away from
From less than the distance between the warning zone and current gate mouth.
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CN110738769A (en) * | 2019-09-19 | 2020-01-31 | 日立楼宇技术(广州)有限公司 | forbidden user identification method, device, system and computer equipment |
CN111223216A (en) * | 2020-01-13 | 2020-06-02 | 郑州纷呈科技有限公司 | Non-contact access control card swiping method |
CN114038098A (en) * | 2021-11-04 | 2022-02-11 | 厦门熵基科技有限公司 | Trailing detection method, device, equipment and readable storage medium |
CN114093058A (en) * | 2021-10-25 | 2022-02-25 | 深圳市椰壳信息科技有限公司 | Smart door lock-based home equipment linkage control method and device and smart door lock |
CN114613056A (en) * | 2022-03-17 | 2022-06-10 | 深圳创维-Rgb电子有限公司 | Gate control method, device, equipment and computer readable storage medium |
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