CN109376639A - Adjoint personnel's early warning system and method based on Identification of Images - Google Patents

Adjoint personnel's early warning system and method based on Identification of Images Download PDF

Info

Publication number
CN109376639A
CN109376639A CN201811199697.4A CN201811199697A CN109376639A CN 109376639 A CN109376639 A CN 109376639A CN 201811199697 A CN201811199697 A CN 201811199697A CN 109376639 A CN109376639 A CN 109376639A
Authority
CN
China
Prior art keywords
personnel
target person
adjoint
portrait
early warning
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
CN201811199697.4A
Other languages
Chinese (zh)
Other versions
CN109376639B (en
Inventor
杨立成
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.)
Shanghai Hong Mu Intelligent Technology Co Ltd
Original Assignee
Shanghai Hong Mu Intelligent 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 Shanghai Hong Mu Intelligent Technology Co Ltd filed Critical Shanghai Hong Mu Intelligent Technology Co Ltd
Priority to CN201811199697.4A priority Critical patent/CN109376639B/en
Publication of CN109376639A publication Critical patent/CN109376639A/en
Application granted granted Critical
Publication of CN109376639B publication Critical patent/CN109376639B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G06V20/53Recognition of crowd images, e.g. recognition of crowd congestion
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • 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
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms

Abstract

For the problem that analyzing the method for being generally used ex-post analysis with personnel, can not accomplish to prevent in advance, the present invention provides a kind of adjoint personnel's early warning system and method based on Identification of Images, belongs to Identification of Images applied technical field.The present invention includes: Identification of Images module, the portrait for each point of real-time detection;With rule setting module, for being arranged with rule, and/or the user-defined target person of input;Logic judgment module, for judging whether the portrait of detection is target person, when being determined as target person, records its space-time trajectory, and caching of target personnel portrait characteristic set in each effective adjoint time range for space-time point occur;When the space-time trajectory of target person reaches with testing conditions, according to the set and with rule, the adjoint personnel of target person are obtained;Early warning output module, for that will be exported with personnel's early warning;The present invention can intervene in the awake related management personnel of crime premise, have the function that prevention.

Description

Adjoint personnel's early warning system and method based on Identification of Images
Technical field
The present invention relates to a kind of early warning system and method, in particular to a kind of adjoint personnel's early warning system based on Identification of Images System and method, belong to Identification of Images applied technical field.
Background technique
In field of face identification, the internal staff's photo registered in picture and system is captured using field camera and is carried out certainly Two pictures that similarity is more than threshold value are considered as the same person by the way that threshold value is arranged by dynamic feature point extraction and comparison, are exported and are Identity identification, thus complete face deploy to ensure effective monitoring and control of illegal activities alarm etc. public security case cracking.
But in practical public security and government's anti-terrorism, stability maintenance and security administration work in, most important work be prevention and in time Note abnormalities personnel or abnormal behaviour, and then early intervenes, and early takes measures, and finds and controls before even committing a crime crime early period as far as possible Suspect processed avoids " mending the fold after the sheep is lost ".
Therefore, the simple mode using personnel's picture alarm of deploying to ensure effective monitoring and control of illegal activities is not able to satisfy the demand, it is also not possible to all cases All know that whom crime one's share of expenses for a joint undertaking is in advance, may not necessarily more take the clear face picture of target, therefore often can not be true in real work Just for used in line manager.
Summary of the invention
For the problem that analyzing the method for being generally used ex-post analysis with personnel, can not accomplish to prevent in advance, this hair It is bright that a kind of adjoint personnel's early warning system and method based on Identification of Images is provided.
A kind of adjoint personnel's early warning system based on Identification of Images, the system comprises:
Identification of Images module, the portrait for each point of real-time detection;
With rule setting module, for being arranged with rule, and/or the user-defined target person of input;It is described to set Set the one or more characteristic conditions other than portrait feature being arranged with rule with personnel;
Logic judgment module, the portrait for will test extracts feature to be compared with the characteristic set in target person library It is right, judged by similarity threshold, when being determined as target person, records the space-time trajectory of the target person, and caching of target Personnel's portrait characteristic set in each effective adjoint time range for space-time point occur;It is also used to the space-time when target person When track is reached with testing conditions, according to the set and with rule, the adjoint personnel of the target person are obtained;
Early warning output module, for that will be exported with personnel's early warning;
Portrait track library, for storing portrait feature, track and the adjoint rule of each point;
Target person library, for storing the portrait characteristic set of target person.
Preferably, the adjoint testing conditions are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
Preferably, in the logic judgment module, the adjoint personnel of the target person are obtained, comprising:
When the space-time trajectory of target person reaches with testing conditions, to the portrait in the corresponding set of the target person Feature carries out clustering, obtains the space-time trajectory with personnel;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine this with people Member is the adjoint personnel of the target person.
Preferably, the characteristic condition in the adjoint rule setting module is with personnel identity definition, with front and back Time, same personnel track merge period, adjoint personnel and target person frequency of occurrence, gender, age, clothing or wearing simultaneously Object.
Preferably, the logic judgment module is also used to when determining target person is without the adjoint people met with rule When member, which is individually trip;
The early warning output module is also used to the target person individually gone on a journey carrying out early warning output.
Preferably, feature in the logic judgment module, portrait feature for will test and target person library into Row compares, comprising:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, are sentenced The portrait that breaks is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, described in judgement Portrait is non-targeted personnel's portrait.
The invention also includes a kind of adjoint personnel's method for early warning based on Identification of Images, which is characterized in that the method packet It includes:
The portrait of each point of S1, real-time detection;
S2, setting are with rule, and/or the user-defined target person of input;The setting is setting companion with rule With one or more characteristic conditions other than portrait feature of personnel;
Store the portrait feature of each point, track and with rule to portrait track library;
S3, the portrait that will test extract feature and are compared with the characteristic set in target person library, pass through similarity threshold Value judgement records the space-time trajectory of the target person when being determined as target person, and caching of target personnel it is each occur when Portrait characteristic set in effective adjoint time range of null point position;It is also used to reach when the space-time trajectory of target person with detection When condition, according to the set and with rule, the adjoint personnel of the target person are obtained;
The characteristic set of target person library storage target person;
S4, it will be exported with personnel's early warning.
Preferably, the adjoint testing conditions are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
Preferably, in the S3, the adjoint personnel of the target person are obtained, comprising:
When the space-time trajectory of target person reaches with testing conditions, to the portrait in the corresponding set of the target person Feature carries out clustering, obtains the space-time trajectory with personnel;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine this with people Member is the adjoint personnel of the target person.
Preferably, in the S3, the characteristic condition is with personnel identity definition, with surrounding time, same person Member track merges period, adjoint personnel and target person frequency of occurrence, gender, age, clothing or wear simultaneously.
Preferably, the S3 further include: when determining target person without the adjoint personnel with rule are met, the target Personnel are individually trip;
The S4 further include: the target person individually gone on a journey is subjected to early warning output.
Preferably, in the S3, the portrait feature for will test is compared with the feature in target person library, packet It includes:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, are sentenced The portrait that breaks is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, described in judgement Portrait is non-targeted personnel's portrait.
Beneficial effects of the present invention, the present invention is based on portrait detection and comparison and identification technologies, in real time to all passing points The personnel of position analyze, and cache front and back demographic data, carry out target person with state point according to Identification of Images result Analysis, so that real-time early warning output is carried out to adjoint state personnel set by user are reached, it is related so as to wake up in crime premise Administrative staff intervene, and reach early warning, the effect of prevention.
Detailed description of the invention
Fig. 1 is the schematic illustration of adjoint personnel's early warning system based on Identification of Images in the specific embodiment of the invention;
Fig. 2 is the flow diagram of the specific embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art without creative labor it is obtained it is all its His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase Mutually combination.
The present invention will be further explained below with reference to the attached drawings and specific examples, but not as the limitation of the invention.
A kind of adjoint personnel's early warning system based on Identification of Images of present embodiment, as shown in Figure 1, present embodiment System includes:
Identification of Images module, the portrait for each point of real-time detection;
With rule setting module, for being arranged with rule, and/or the user-defined target person of input;It is described to set Set the one or more characteristic conditions other than portrait feature being arranged with rule with personnel;
Logic judgment module, the portrait for will test extracts feature to be compared with the characteristic set in target person library It is right, judged by similarity threshold, when being determined as target person, merge the period judgement, record the target person when Empty track, and caching of target personnel portrait characteristic set in each effective adjoint time range for space-time point occur;Also use When the space-time trajectory when target person reaches with testing conditions, according to the set and with rule, the target is obtained The adjoint personnel of personnel;
Early warning output module, for that will be exported with personnel's early warning;
Portrait track library, for storing portrait, track and the adjoint rule of each point;
Target person library, for storing the characteristic set of target person.
The feature of present embodiment target person library storage includes: portrait feature and advanced features, and advanced features include companion Merge the period with personnel identity definition, with surrounding time, same personnel track, go out occurrence simultaneously with personnel and target person Number, gender, age, clothing and/or wear;The portrait track library of present embodiment is certain for storing in certain time range The magnanimity portrait track in place (point) and adjoint rule, portrait track are used to obtain target person or the space-time rail with personnel Mark, it may be assumed that all personnel by point of storage are convenient for subsequent judgement early warning.
In present embodiment, merge the period by the way that same personnel track is arranged with rule setting module, for that will set Personnel in time carry out time of occurrence point and place merges, and avoid a people meaningless multiplicating output in a short time, such as One people hovers before video camera, and a space-time point is calculated as in the period.
Present embodiment is detected using portrait, feature identification and face recognition technology, to the mesh for meeting certain figure and features features The aspect ratio pair of mark personnel (such as children, old man) and the emphasis personnel being pre-stored in target person library carry out identity validation, Space-time trajectory record is carried out to the target person of confirmation, and caches the face characteristic in front and back a period of time of each of which appearance point Record carries out real-time monitoring record with this logic, when the track for confirming target person meets with testing conditions, obtains therewith The personnel's space-time trajectory information occurred simultaneously, according to the adjoint personnel for obtaining target person with rule of setting, early warning output. Present embodiment is analyzed by the personnel of point all, and caches front and back demographic data, according to Identification of Images result pair Target person is carried out with state analysis, so that real-time early warning output is carried out to adjoint state personnel set by user are reached, from And can intervene in the awake related management personnel of crime premise, reach early warning, the effect of prevention.
In preferred embodiment, the adjoint testing conditions of present embodiment are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
In present embodiment, according to the space-time trajectory of target person, will occur in some point/several points or In some point/several points frequency of occurrence as threshold value, with to determine whether needing to detect the adjoint people of the target person Member.
In preferred embodiment, in the logic judgment module of present embodiment, the adjoint personnel of the target person are obtained, are wrapped It includes:
When the space-time trajectory of target person reaches with testing conditions, to the portrait in the corresponding set of the target person Feature carries out clustering, and merges period judgement, obtains the space-time trajectory with personnel;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine this with people Member is the adjoint personnel of the target person.
Present embodiment will be compared with the space-time trajectory of personnel with the space-time trajectory of target person, with space-time Frequency meets setting condition, such as: with number, present embodiment obtains the space-time trajectory of same administrative staff according to cluster result Information is exported with the personnel of spatio-temporal frequency setting condition to meeting, is realized to target emphasis gathering of people early warning, can also Target person early warning is trailed to someone to realize.
In preferred embodiment, in present embodiment, the characteristic condition in the adjoint rule setting module is with personnel Identity definition merges period setting with surrounding time, same personnel track, goes out occurrence simultaneously with personnel and target person Number, gender, age, clothing (color, texture) or wear (cap, glasses, mask).
Present embodiment reduces the scope for option, with face characteristic carry out with or combine, improve early warning range or Precision.
In preferred embodiment, the logic judgment module of present embodiment is also used to when determining target person is adjoint without meeting When the adjoint personnel of rule, which is individually trip;
The early warning output module is also used to the target person individually gone on a journey carrying out early warning output.
Present embodiment goes on a journey alone early warning to target person unsupervised according to setting condition.
In preferred embodiment, the logic judgment module of present embodiment, portrait feature and target person for will test Feature in library is compared, comprising:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, are sentenced The portrait that breaks is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, described in judgement Portrait is non-targeted personnel's portrait.
Present embodiment supports that personnel's progress identity validation, confirmation external staff is not in target person library, confirmation weight Point personnel are emphasis personnel in target person library, and user can be allowed to meet practical business demand by configuring flexible realization.Companion It is identical as target person identity validation mode with the identity validation of personnel.
Present embodiment also provides a kind of adjoint personnel's method for early warning based on Identification of Images, the method packet of present embodiment It includes:
The portrait of each point of S1, real-time detection;
S2, setting are with rule, and/or the user-defined target person of input;The setting is setting companion with rule With one or more characteristic conditions other than portrait feature of personnel;
Store the portrait of each point, track and with rule to portrait track library;
S3, the portrait that will test extract feature and are compared with the characteristic set in target person library, pass through similarity threshold Value judgement records the space-time trajectory of the target person when being determined as target person, and caching of target personnel it is each occur when Portrait characteristic set in effective adjoint time range of null point position;It is also used to reach when the space-time trajectory of target person with detection When condition, according to the set and with rule, the adjoint personnel of the target person are obtained;
The characteristic set of target person library storage target person;
S4, it will be exported with personnel's early warning.
In preferred embodiment, the adjoint testing conditions of present embodiment are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
In preferred embodiment, in the S3 of present embodiment, the adjoint personnel of the target person are obtained, comprising:
When the space-time trajectory of target person reaches with testing conditions, to the portrait in the corresponding set of the target person Feature carries out clustering, and merges period judgement, obtains the space-time trajectory with personnel;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine this with people Member is the adjoint personnel of the target person.
In preferred embodiment, in the S3, the characteristic condition is with personnel identity definition, with surrounding time, companion With personnel and target person frequency of occurrence, gender, age, clothing or wear simultaneously.
In preferred embodiment, the S2 of present embodiment further include: when determine target person without meet with rule it is adjoint When personnel, which is individually trip;
The S4 further include: the target person individually gone on a journey is subjected to early warning output.
The spy in portrait feature and target person library in preferred embodiment, in the S3 of present embodiment, for will test Sign is compared, comprising:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, are sentenced The portrait that breaks is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, described in judgement Portrait is non-targeted personnel's portrait.
Specific embodiment: as shown in Fig. 2, a kind of adjoint personnel's method for early warning based on Identification of Images of present embodiment, Include the following steps:
Step 1: the portrait of each point of real-time detection;
Step 2: there is the progress feature identification of portrait target to each, and carries out face characteristic with target person library and compare, Advanced features are carried out after comparing successfully to be matched, and judge whether the portrait target is target person, the advanced spy in this step Sign include: with personnel identity definition, with surrounding time, with personnel and target person frequency of occurrence, gender, year simultaneously Age, clothing and/or wear are transferred to step 3 if successful match, if it is not, portrait and track characteristic are stored in portrait track library In;
Step 3: recording target person id, be compared with portrait track library, and check whether to meet same personnel rail Mark merges periodic condition, if it is satisfied, merging, is otherwise calculated as individual space-time node, counts ID personnel's frequency of occurrence;
Step 4: if it is more than threshold value that the id personnel, which add up frequency of occurrence, step 5 is transferred to, if it is not, by target person id In portrait and track characteristic deposit portrait track library;
Step 5: recording and count all personnel people in this id personnel in each adjoint time range for point occur As characteristic set;
Step 6: personnel's cluster being carried out to portrait characteristic set, and checks whether that meeting same personnel track merges period item Otherwise part is calculated as individual space-time node, obtains the space-time trajectory of each id if it is satisfied, merging;
Step 7: the space-time trajectory for each id that step 6 obtains is compared with the space-time trajectory of target person id, if Reach with frequency threshold value, determines that corresponding id is to be transferred to step 8, otherwise, which terminates with personnel id;
Step 8: judge whether the adjoint personnel identity of the id meets with rule, if so, will be exported with personnel's early warning, And the site occurred with personnel is recorded, if it is not, the thread terminates.
Although describing the present invention herein with reference to specific embodiment, it should be understood that, these realities Apply the example that example is only principles and applications.It should therefore be understood that can be carried out to exemplary embodiment Many modifications, and can be designed that other arrangements, without departing from spirit of the invention as defined in the appended claims And range.It should be understood that different appurtenances can be combined by being different from mode described in original claim Benefit requires and feature described herein.It will also be appreciated that the feature in conjunction with described in separate embodiments can be used In other described embodiments.

Claims (12)

1. a kind of adjoint personnel's early warning system based on Identification of Images, which is characterized in that the system comprises:
Identification of Images module, the portrait for each point of real-time detection;
With rule setting module, for being arranged with rule, and/or the user-defined target person of input;The setting companion Anywhere rule one or more characteristic conditions other than portrait feature for adjoint personnel are arranged;
Logic judgment module, the portrait for will test extract feature and are compared with the characteristic set in target person library, lead to Similarity threshold judgement is crossed, when being determined as target person, records the space-time trajectory of the target person, and caching of target personnel exist Portrait characteristic set in each effective adjoint time range for space-time point occur;It is also used to reach when the space-time trajectory of target person When to testing conditions, according to the set and with rule, the adjoint personnel of the target person are obtained;
Early warning output module, for that will be exported with personnel's early warning;
Portrait track library, for storing portrait feature, track and the adjoint rule of each point;
Target person library, for storing the characteristic set of target person.
2. adjoint personnel's early warning system according to claim 1 based on Identification of Images, which is characterized in that described with inspection Survey condition are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
3. adjoint personnel's early warning system according to claim 1 or 2 based on Identification of Images, which is characterized in that described to patrol It collects in judgment module, obtains the adjoint personnel of the target person, comprising:
When the space-time trajectory of target person reaches with testing conditions, to the portrait feature in the corresponding set of the target person Clustering is carried out, the space-time trajectory with personnel is obtained;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine that this is with personnel The adjoint personnel of the target person.
4. adjoint personnel's early warning system according to claim 3 based on Identification of Images, which is characterized in that described with rule Then the characteristic condition in setup module is to merge period, companion with personnel identity definition, with surrounding time, same personnel track With personnel and target person frequency of occurrence, gender, age, clothing or wear simultaneously.
5. adjoint personnel's early warning system according to claim 1 based on Identification of Images, which is characterized in that the logic is sentenced Disconnected module is also used to when determining target person without the adjoint personnel with rule are met, which is individually trip;
The early warning output module is also used to the target person individually gone on a journey carrying out early warning output.
6. adjoint personnel's early warning system according to claim 1 based on Identification of Images, which is characterized in that the logic is sentenced Disconnected module, the portrait feature for will test are compared with the feature in target person library, comprising:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, judge institute Stating portrait is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, judge the portrait For non-targeted personnel's portrait.
7. a kind of adjoint personnel's method for early warning based on Identification of Images, which is characterized in that the described method includes:
The portrait of each point of S1, real-time detection;
S2, setting are with rule, and/or the user-defined target person of input;The setting is arranged with rule with people One or more characteristic conditions other than portrait feature of member;
Store the portrait feature of each point, track and with rule to portrait track library;
S3, the portrait that will test extract feature and are compared with the characteristic set in target person library, are sentenced by similarity threshold It is disconnected, when being determined as target person, the space-time trajectory of the target person is recorded, and caching of target personnel event occur each Portrait characteristic set in effective adjoint time range of position;It is also used to reach when the space-time trajectory of target person with testing conditions When, according to the set and with rule, obtain the adjoint personnel of the target person;Target person library stores target person Characteristic set;
S4, it will be exported with personnel's early warning.
8. adjoint personnel's method for early warning according to claim 7 based on Identification of Images, which is characterized in that described with inspection Survey condition are as follows:
Whether the space-time trajectory of target person is more than the threshold value for space-time point or frequency of occurrence occur.
9. adjoint personnel's method for early warning according to claim 7 or 8 based on Identification of Images, which is characterized in that the S3 In, obtain the adjoint personnel of the target person, comprising:
When the space-time trajectory of target person reaches with testing conditions, to the portrait feature in the corresponding set of the target person Clustering is carried out, the space-time trajectory with personnel is obtained;
When certain with the space-time trajectory of personnel meet target person adjoint spatio-temporal frequency be arranged condition, determine that this is with personnel The adjoint personnel of the target person.
10. adjoint personnel's method for early warning according to claim 9 based on Identification of Images, which is characterized in that in the S3, The characteristic condition is to merge the period, with personnel and mesh with personnel identity definition, with surrounding time, same personnel track Mark personnel while frequency of occurrence, gender, age, clothing or wear.
11. adjoint personnel's method for early warning according to claim 7 based on Identification of Images, which is characterized in that the S3 is also It include: when determining target person without the adjoint personnel with rule are met, which is individually trip;
The S4 further include: the target person individually gone on a journey is subjected to early warning output.
12. adjoint personnel's method for early warning according to claim 7 based on Identification of Images, which is characterized in that in the S3, Portrait feature for will test is compared with the feature in target person library, comprising:
Any feature or a few feature alignment similarities in the portrait feature that will test and target person library are more than threshold value, judge institute Stating portrait is target person portrait;
All feature alignment similarities in the portrait feature that will test and target person library are below threshold value, judge the portrait For non-targeted personnel's portrait.
CN201811199697.4A 2018-10-16 2018-10-16 Accompanying personnel early warning system and method based on portrait recognition Active CN109376639B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811199697.4A CN109376639B (en) 2018-10-16 2018-10-16 Accompanying personnel early warning system and method based on portrait recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811199697.4A CN109376639B (en) 2018-10-16 2018-10-16 Accompanying personnel early warning system and method based on portrait recognition

Publications (2)

Publication Number Publication Date
CN109376639A true CN109376639A (en) 2019-02-22
CN109376639B CN109376639B (en) 2021-12-17

Family

ID=65399851

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811199697.4A Active CN109376639B (en) 2018-10-16 2018-10-16 Accompanying personnel early warning system and method based on portrait recognition

Country Status (1)

Country Link
CN (1) CN109376639B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109947793A (en) * 2019-03-20 2019-06-28 深圳市北斗智能科技有限公司 Analysis method, device and the storage medium of accompanying relationship
CN109977108A (en) * 2019-04-03 2019-07-05 深圳市甲易科技有限公司 A kind of a variety of track collision analysis methods in Behavior-based control track library
CN110276272A (en) * 2019-05-30 2019-09-24 罗普特科技集团股份有限公司 Confirm method, apparatus, the storage medium of same administrative staff's relationship of label personnel
CN110569720A (en) * 2019-07-31 2019-12-13 安徽四创电子股份有限公司 audio and video intelligent identification processing method based on audio and video processing system
CN110674749A (en) * 2019-09-24 2020-01-10 北京明略软件系统有限公司 Fake-licensed vehicle identification method and device and storage medium
CN111222404A (en) * 2019-11-15 2020-06-02 北京市商汤科技开发有限公司 Method, device and system for detecting co-pedestrian, electronic equipment and storage medium
CN112364176A (en) * 2020-10-26 2021-02-12 青岛海信网络科技股份有限公司 Method, equipment and system for constructing personnel action track
CN112653990A (en) * 2020-09-18 2021-04-13 武汉爱迪科技股份有限公司 Screening algorithm and system for close contact personnel
CN114863637A (en) * 2022-03-30 2022-08-05 财上门科技(北京)有限公司 Hotel safety management system and method

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040017929A1 (en) * 2002-04-08 2004-01-29 Newton Security Inc. Tailgating and reverse entry detection, alarm, recording and prevention using machine vision
CN103400148A (en) * 2013-08-02 2013-11-20 上海泓申科技发展有限公司 Video analysis-based bank self-service area tailgating behavior detection method
US20130314232A1 (en) * 2012-05-23 2013-11-28 Honeywell International Inc. Tailgating detection
CN104183039A (en) * 2014-08-19 2014-12-03 花韬 Anti-following system with function of human body biologic characteristic identification
CN105022999A (en) * 2015-07-12 2015-11-04 上海微桥电子科技有限公司 Man code company real-time acquisition system
US20160284183A1 (en) * 2014-08-19 2016-09-29 Sensormatic Electronics, LLC Tailgating Detection in Frictionless Access Control System
CN106778655A (en) * 2016-12-27 2017-05-31 华侨大学 A kind of entrance based on human skeleton is trailed and enters detection method
CN106875679A (en) * 2017-03-14 2017-06-20 东软集团股份有限公司 Recognize the method and device of escort vehicle
CN107292907A (en) * 2017-07-14 2017-10-24 灵动科技(北京)有限公司 A kind of method to following target to be positioned and follow equipment
CN107861979A (en) * 2017-09-27 2018-03-30 汉柏科技有限公司 A kind of adjoint personnel's acquisition methods and system based on recognition of face
CN108122013A (en) * 2017-12-29 2018-06-05 重庆锐纳达自动化技术有限公司 One kind, which follows, to be excluded non-to follow mesh calibration method in movement

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040017929A1 (en) * 2002-04-08 2004-01-29 Newton Security Inc. Tailgating and reverse entry detection, alarm, recording and prevention using machine vision
US20130314232A1 (en) * 2012-05-23 2013-11-28 Honeywell International Inc. Tailgating detection
CN103400148A (en) * 2013-08-02 2013-11-20 上海泓申科技发展有限公司 Video analysis-based bank self-service area tailgating behavior detection method
CN104183039A (en) * 2014-08-19 2014-12-03 花韬 Anti-following system with function of human body biologic characteristic identification
US20160284183A1 (en) * 2014-08-19 2016-09-29 Sensormatic Electronics, LLC Tailgating Detection in Frictionless Access Control System
CN105022999A (en) * 2015-07-12 2015-11-04 上海微桥电子科技有限公司 Man code company real-time acquisition system
CN106778655A (en) * 2016-12-27 2017-05-31 华侨大学 A kind of entrance based on human skeleton is trailed and enters detection method
CN106875679A (en) * 2017-03-14 2017-06-20 东软集团股份有限公司 Recognize the method and device of escort vehicle
CN107292907A (en) * 2017-07-14 2017-10-24 灵动科技(北京)有限公司 A kind of method to following target to be positioned and follow equipment
CN107861979A (en) * 2017-09-27 2018-03-30 汉柏科技有限公司 A kind of adjoint personnel's acquisition methods and system based on recognition of face
CN108122013A (en) * 2017-12-29 2018-06-05 重庆锐纳达自动化技术有限公司 One kind, which follows, to be excluded non-to follow mesh calibration method in movement

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李晋等: "基于双层异构深度神经网络模型的人脸识别关键技术研究", 《电信工程技术与标准化》 *

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109947793A (en) * 2019-03-20 2019-06-28 深圳市北斗智能科技有限公司 Analysis method, device and the storage medium of accompanying relationship
CN109977108A (en) * 2019-04-03 2019-07-05 深圳市甲易科技有限公司 A kind of a variety of track collision analysis methods in Behavior-based control track library
CN109977108B (en) * 2019-04-03 2021-04-27 深圳市甲易科技有限公司 Behavior trajectory library-based multi-trajectory collision analysis method
CN110276272A (en) * 2019-05-30 2019-09-24 罗普特科技集团股份有限公司 Confirm method, apparatus, the storage medium of same administrative staff's relationship of label personnel
CN110569720A (en) * 2019-07-31 2019-12-13 安徽四创电子股份有限公司 audio and video intelligent identification processing method based on audio and video processing system
CN110674749A (en) * 2019-09-24 2020-01-10 北京明略软件系统有限公司 Fake-licensed vehicle identification method and device and storage medium
CN110674749B (en) * 2019-09-24 2022-10-25 北京明智和术科技有限公司 Fake-licensed vehicle identification method and device and storage medium
CN111222404A (en) * 2019-11-15 2020-06-02 北京市商汤科技开发有限公司 Method, device and system for detecting co-pedestrian, electronic equipment and storage medium
CN112653990A (en) * 2020-09-18 2021-04-13 武汉爱迪科技股份有限公司 Screening algorithm and system for close contact personnel
CN112364176A (en) * 2020-10-26 2021-02-12 青岛海信网络科技股份有限公司 Method, equipment and system for constructing personnel action track
CN114863637A (en) * 2022-03-30 2022-08-05 财上门科技(北京)有限公司 Hotel safety management system and method
CN114863637B (en) * 2022-03-30 2023-10-17 财上门科技(北京)有限公司 Hotel security management system and method

Also Published As

Publication number Publication date
CN109376639B (en) 2021-12-17

Similar Documents

Publication Publication Date Title
CN109376639A (en) Adjoint personnel's early warning system and method based on Identification of Images
US20200202113A1 (en) Object tracking and best shot detection system
US9875392B2 (en) System and method for face capture and matching
US9646228B2 (en) Role-based tracking and surveillance
CN101266704B (en) ATM secure authentication and pre-alarming method based on face recognition
Lyon Technology vs ‘terrorism’: circuits of city surveillance since September 11th
KR101215948B1 (en) Image information masking method of monitoring system based on face recognition and body information
CN102201061B (en) Intelligent safety monitoring system and method based on multilevel filtering face recognition
CN103714631B (en) ATM cash dispenser intelligent monitor system based on recognition of face
WO2018180588A1 (en) Facial image matching system and facial image search system
US20030040925A1 (en) Vision-based method and apparatus for detecting fraudulent events in a retail environment
CN101556717A (en) ATM intelligent security system and monitoring method
JP7201072B2 (en) Surveillance device, suspicious object detection method, and program
TWI797411B (en) information processing device
KR101957677B1 (en) System for learning based real time guidance through face recognition and the method thereof
JP2019096179A (en) Behavior monitoring system
Kale et al. Real Time Face Mask Detection-A Survey
Dirgantara et al. Design of Face Recognition Security System on Public Spaces
KR20210007672A (en) System and method for detection of dangerous situation
Geng et al. Abnormal behavior detection for early warning of terrorist attack
Aparna et al. Data Anonymization on Biometric Security Using Iris Recognition Technology
CN117953569A (en) Face recognition system and logistics system of face recognition system
Ganiyu et al. Intelligent Criminal Identification System For Semi-Regulated Environments
Patil et al. A Review: Office Monitoring and Surveillance System
Seemanthini et al. Real Time Unusual Event Detection In Videos To Enhance Atm Security

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