CN110223473A - A kind of safety defense monitoring system and its working method based on the identification of multinomial changing features - Google Patents
A kind of safety defense monitoring system and its working method based on the identification of multinomial changing features Download PDFInfo
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- CN110223473A CN110223473A CN201910383746.8A CN201910383746A CN110223473A CN 110223473 A CN110223473 A CN 110223473A CN 201910383746 A CN201910383746 A CN 201910383746A CN 110223473 A CN110223473 A CN 110223473A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 32
- 230000007123 defense Effects 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims abstract description 72
- 210000001747 pupil Anatomy 0.000 claims abstract description 57
- 238000000605 extraction Methods 0.000 claims abstract description 54
- 230000001755 vocal effect Effects 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 14
- 239000000284 extract Substances 0.000 claims description 15
- 230000008859 change Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000001815 facial effect Effects 0.000 description 1
- 230000009545 invasion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/22—Electrical actuation
- G08B13/24—Electrical actuation by interference with electromagnetic field distribution
- G08B13/2491—Intrusion detection systems, i.e. where the body of an intruder causes the interference with the electromagnetic field
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/02—Preprocessing operations, e.g. segment selection; Pattern representation or modelling, e.g. based on linear discriminant analysis [LDA] or principal components; Feature selection or extraction
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L17/00—Speaker identification or verification techniques
- G10L17/22—Interactive procedures; Man-machine interfaces
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Emergency Alarm Devices (AREA)
Abstract
The present invention relates to a kind of safety defense monitoring systems and its working method based on the identification of multinomial changing features, comprising: pupil identification module, speech recognition module, analysis module；The pupil identification module includes feature acquisition module, characteristic extracting module, light adjustment module；The speech recognition module includes that voice obtains module, voiceprint extraction module, ambient sound processing module；The voiceprint extraction module is connect with the analysis module, the vocal print for the identified personnel that the voiceprint extraction module is extracted to analysis module output；The analysis module includes property data base, and the pupil feature and vocal print feature for closing rule personnel are stored in the property data base；The analysis module is compared the feature that characteristic extracting module and/or voiceprint extraction module export and with property data base, and personnel will be currently identified if successfully comparing labeled as conjunction rule personnel.
Description
Technical field
The present invention relates to safety defense monitoring system, in particular to a kind of safety defense monitoring system based on the identification of multinomial changing features
And its working method.
Background technique
Safety defense monitoring system be using optical fiber, coaxial cable or microwave its closure loop in transmission video signal, and
The system for constituting independent completion is shown and recorded from camera shooting to image.It can in real time, image, be truly reflected monitored object,
The viewing distance of human eye is not only greatly extended, and expands the function of human eye, it can be replaced under rugged environment
It is artificial to carry out long-time monitoring, allow people it can be seen that being monitored all situations actually occurred at scene, and remember by video recorder
Record is got off.Alarm system equipment alarms to illegal invasion simultaneously, and the alarm signal of generation inputs alarm host machine, alarm host machine
Triggering monitoring system is recorded a video and is recorded.With the development of society, the means of safety monitoring also gradually improve, single monitoring means
It is difficult to meet various monitoring demands.
Summary of the invention
Goal of the invention:
Aiming at the problem that mentioning in background technique, the present invention provides a kind of safety defense monitoring system based on the identification of multinomial changing features
And its working method.
Technical solution:
A kind of safety defense monitoring system based on the identification of multinomial changing features, comprising: pupil identification module, divides speech recognition module
Analyse module；
The pupil identification module includes feature acquisition module, characteristic extracting module, light adjustment module；The feature absorbs mould
Block is used to absorb the eye feature of identified personnel；The characteristic extracting module is used to extract the pupil feature of identified personnel；
Values of light in the light adjustment module change identification region；The characteristic extracting module is connect with the analysis module, institute
It states characteristic extracting module and exports the porosity characteristics of identified personnel to the analysis module；
The speech recognition module includes that voice obtains module, voiceprint extraction module, ambient sound processing module；The voice obtains
Module is used to obtain the voice messaging of identified personnel；The voiceprint extraction module obtains module with the voice and connect, and is used for
Extract the vocal print in the voice of identified personnel；The ambient sound processing module is used for the ambient sound of identification region
Reason；The voiceprint extraction module is connect with the analysis module, and the voiceprint extraction module is exported to the analysis module and extracted
Identified personnel vocal print；
The analysis module includes property data base, and the pupil feature and vocal print for closing rule personnel are stored in the property data base
Feature；The analysis module is carried out by the feature that characteristic extracting module and/or voiceprint extraction module export and with property data base
It compares, personnel will be currently identified if successfully comparing labeled as conjunction rule personnel.
As a kind of preferred embodiment of the invention, the feature of characteristic storage module storage includes being known under default values of light
The pupil feature of others' member presets values of light and includes at least three kinds of values of light.
As a kind of preferred embodiment of the invention, analysis module adjusts module output light adjustment signal, light to light
It adjusts module and values of light is adjusted to default values of light according to light adjustment signal；The feature acquisition module absorbs default values of light
Under identified personnel eye feature, the characteristic extracting module extracts pupil of the current identified personnel under default light
Pupil feature of the identified personnel under default light is compared with the feature in property data base for feature, analysis module,
If comparing successfully, which is marked as closing rule personnel.
As a kind of preferred embodiment of the invention, ambient sound processing module obtains ambient sound, and by ambient sound to the sound
The output of line extraction module, the distinctive tone in the voiceprint extraction module extraction environment sound, voiceprint extraction module by distinctive tone to point
Analyse module output.
As a kind of preferred embodiment of the invention, off-note sound is stored in property data base, analysis module obtains institute
State the distinctive tone of voiceprint extraction module output, if the aspect ratio in distinctive tone and property data base to success, by identified person
Member is labeled as conjunction rule personnel.
A kind of working method of the safety defense monitoring system based on the identification of multinomial changing features, comprising the following steps:
The eye feature of identified personnel of the feature acquisition module intake in the cog region, and by eye feature to feature extraction
Module output；
Characteristic extracting module extracts the pupil feature in eye feature and exports pupil feature to analysis module；
Analysis module obtains pupil feature and pupil feature is compared with the feature in property data base；
Voice obtains the voice messaging for the identified personnel that module obtains in the cog region, and by voice messaging to voiceprint extraction
Module output；
Voiceprint extraction module extracts the vocal print in voice messaging, and vocal print is exported to analysis module；
Analysis module obtains vocal print and vocal print is compared with the feature in property data base；
If comparing successfully, this is identified personnel labeled as conjunction rule personnel by analysis module.
As a kind of preferred embodiment of the invention, comprising the following steps:
It is obtained according to pupil feature of the default values of light to identified personnel；
Property data base stores the pupil feature of the identified personnel under default light.
As a kind of preferred embodiment of the invention, comprising the following steps:
Analysis module adjusts module output light adjustment signal to light；
Light adjusts module and adjusts values of light according to light adjustment signal；
Feature acquisition module absorbs the eye feature of identified personnel, and eye feature is exported to characteristic extracting module；
Characteristic extracting module extracts the pupil feature in eye feature and exports pupil feature to analysis module；
Pupil feature under default values of light is compared analysis module with the feature in property data base；
If comparing successfully, which is marked as closing rule personnel.
As a kind of preferred embodiment of the invention, comprising the following steps:
Ambient sound processing obtains the ambient sound in cog region, and ambient sound is exported to voiceprint extraction module；
Distinctive tone in voiceprint extraction module extraction environment sound, and distinctive tone is exported to analysis module.
As a kind of preferred embodiment of the invention, comprising the following steps:
Analysis module receives distinctive tone and by the off-note signal to noise ratio pair in distinctive tone and property data base；
If comparing successfully, analysis module is by identified personnel labeled as conjunction rule personnel.
The present invention realize it is following the utility model has the advantages that
Identification of the eye feature in conjunction with phonetic feature is carried out to identified personnel, improve the accuracy of identification and reduces identification
Fault rate.By to identified personnel being improved and being changed state to the current pupil of identified personnel by the change of environment
Identification, reduce and be misled into the probability of identification.Ambient sound when to identification obtains, and compares distinctive tone, increases identification letter
Breath source.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and consistent with the instructions for explaining the principles of this disclosure.
Wherein: 1. pupil identification modules, 11. feature acquisition modules, 12. characteristic extracting modules, 13. light adjustment module,
2. speech recognition module, 21. voices obtain module, 22. voiceprint extraction modules, 23. ambient sound processing modules, 3. analysis modules,
31. property data base.
Fig. 1 is a kind of system block diagram of safety defense monitoring system based on the identification of multinomial changing features provided by the invention；
Fig. 2 is a kind of process of the working method of safety defense monitoring system based on the identification of multinomial changing features provided by the invention
Figure；
Fig. 3 is a kind of default light of the working method of safety defense monitoring system based on the identification of multinomial changing features provided by the invention
Line identification process；
Fig. 4 is a kind of light tune of the working method of safety defense monitoring system based on the identification of multinomial changing features provided by the invention
Whole flow chart；
Fig. 5 is a kind of ambient sound of the working method of safety defense monitoring system based on the identification of multinomial changing features provided by the invention
Identification process figure；
Fig. 6 is a kind of distinctive tone of the working method of safety defense monitoring system based on the identification of multinomial changing features provided by the invention
Compare flow chart.
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.
Embodiment one
For Fig. 1.
A kind of safety defense monitoring system based on the identification of multinomial changing features, comprising: pupil identification module 1, speech recognition mould
Block 2, analysis module 3.
Pupil identification module 1 includes feature acquisition module 11, characteristic extracting module 12, light adjustment module 13.Feature is taken the photograph
Modulus block 11 is used to absorb the eye feature of identified personnel.The pupil that characteristic extracting module 12 is used to extract identified personnel is special
Sign.The module 13 that light adjusts changes the values of light in identification region.Characteristic extracting module 12 is connect with analysis module 3, and feature mentions
Modulus block 12 exports the porosity characteristics of identified personnel to analysis module 3.
Feature acquisition module 11 can be camera, be set in cog region, carry out to the identified personnel in cog region
The intake of specific facial positions.Characteristic extracting module 12 obtains the eye feature of intake and extracts the spy of the pupil in eye feature
Sign.
As a kind of mode, pupil identification module 1 may be provided with it is multiple, in cog region different angle personnel carry out pupil
Hole identification.Cog region can more than one.
Speech recognition module 2 includes that voice obtains module 21, voiceprint extraction module 22, ambient sound processing module 23.Voice
Obtain the voice messaging that module 21 is used to obtain identified personnel.Voiceprint extraction module 22 obtains module 21 with voice and connect, and uses
Vocal print in the voice for extracting identified personnel.Ambient sound processing module 23 is used for the ambient sound of identification region
Reason.Voiceprint extraction module 22 is connect with analysis module 3, the identified person that voiceprint extraction module 22 is extracted to the output of analysis module 3
The vocal print of member.
It can be radio equipment that voice, which obtains module 21, and voice obtains module 21 can be arranged more than one in cog region, use
The personnel of different location carry out voice acquisition in cog region.
In addition, speech recognition and pupil to same personnel identify the identification as same personnel in cog region, with
The personnel carry out identity binding.
Analysis module 3 includes property data base 31, and the pupil feature and sound for closing rule personnel are stored in property data base 31
Line feature.Feature that analysis module 3 exports characteristic extracting module 12 and/or voiceprint extraction module 22 and with property data base 31
It being compared, the personnel that will currently be identified if successfully comparing are labeled as closing rule personnel,
As a kind of preferred embodiment of the invention, the feature of characteristic storage module storage includes the identified person under default values of light
The pupil feature of member presets values of light and includes at least three kinds of values of light.
As a kind of preferred embodiment of the invention, analysis module 3 adjusts 13 output light adjustment signal of module, light to light
Line adjusts module 13 and adjusts values of light to default values of light according to light adjustment signal.Feature acquisition module 11 absorbs default light
The eye feature of identified personnel under value, characteristic extracting module 12 extract pupil of the current identified personnel under default light
Feature, analysis module 3 compare pupil feature of the identified personnel under default light with the feature in property data base 31
Right, if comparing successfully, which is marked as closing rule personnel.
As a kind of preferred embodiment of the invention, ambient sound processing module 23 obtains ambient sound, and by ambient sound to vocal print
Extraction module 22 exports, the distinctive tone in 22 extraction environment sound of voiceprint extraction module, voiceprint extraction module 22 by distinctive tone to point
Module 3 is analysed to export.
Ambient sound is in cog region except the voice of identified personnel, voice, noise including surrounding people etc..Voiceprint extraction
Distinctive tone in 22 extraction environment sound of module, distinctive tone are specified vocal print.Voiceprint extraction module 22 is by the specified sound in ambient sound
Line is extracted to be exported to analysis module 3.
As a kind of preferred embodiment of the invention, off-note sound is stored in property data base 31, analysis module 3 obtains
The distinctive tone that voiceprint extraction module 22 exports, if the aspect ratio in distinctive tone and property data base 31 will be identified success
Worker labels are to close rule personnel.
Off-note sound is one of identification feature, for one of the identification feature of identified personnel.
Embodiment two
With reference to for Fig. 2-6.
A kind of working method of the safety defense monitoring system based on the identification of multinomial changing features, comprising the following steps:
The eye feature of identified personnel of the intake of feature acquisition module 11 in cog region, and eye feature is mentioned to feature
Modulus block 12 exports.
Characteristic extracting module 12 extracts the pupil feature in eye feature and exports pupil feature to analysis module 3.
Analysis module 3 obtains pupil feature and pupil feature is compared with the feature in property data base 31.
Voice obtains the voice messaging for the identified personnel that module 21 obtains in the cog region, and by voice messaging to sound
Line extraction module 22 exports.
Voiceprint extraction module 22 extracts the vocal print in voice messaging, and vocal print is exported to analysis module 3.
Analysis module 3 obtains vocal print and vocal print is compared with the feature in property data base 31.
If comparing successfully, this is identified personnel labeled as conjunction rule personnel by analysis module 3.
As a kind of preferred embodiment of the invention, comprising the following steps:
It is obtained according to pupil feature of the default values of light to identified personnel.
Property data base 31 stores the pupil feature of the identified personnel under default light.
As a kind of preferred embodiment of the invention, comprising the following steps:
Analysis module 3 adjusts 13 output light adjustment signal of module to light.
Light adjusts module 13 and adjusts values of light according to light adjustment signal.
Feature acquisition module 11 absorbs the eye feature of identified personnel, and eye feature is defeated to characteristic extracting module 12
Out.
Characteristic extracting module 12 extracts the pupil feature in eye feature and exports pupil feature to analysis module 3.
Pupil feature under default values of light is compared analysis module 3 with the feature in property data base 31.
If comparing successfully, which is marked as closing rule personnel.
As a kind of preferred embodiment of the invention, comprising the following steps:
Ambient sound processing obtains the ambient sound in cog region, and ambient sound is exported to voiceprint extraction module 22.
Distinctive tone in 22 extraction environment sound of voiceprint extraction module, and distinctive tone is exported to analysis module 3.
As a kind of preferred embodiment of the invention, comprising the following steps:
Analysis module 3 receives distinctive tone and by the off-note signal to noise ratio pair in distinctive tone and property data base 31.
If comparing successfully, analysis module 3 is by identified personnel labeled as conjunction rule personnel.
The above embodiments merely illustrate the technical concept and features of the present invention, and the purpose is to allow the skill for being familiar with the technical field
Art personnel can understand the content of the present invention and implement it accordingly, and can not be limited the scope of the invention with this.All bases
Equivalent changes or modifications made by spirit of the invention, should be covered by the protection scope of the present invention.
Claims (10)
1. a kind of safety defense monitoring system based on the identification of multinomial changing features characterized by comprising pupil identification module, language
Sound identification module, analysis module；
The pupil identification module includes feature acquisition module, characteristic extracting module, light adjustment module；The feature absorbs mould
Block is used to absorb the eye feature of identified personnel；The characteristic extracting module is used to extract the pupil feature of identified personnel；
Values of light in the light adjustment module change identification region；The characteristic extracting module is connect with the analysis module, institute
It states characteristic extracting module and exports the porosity characteristics of identified personnel to the analysis module；
The speech recognition module includes that voice obtains module, voiceprint extraction module, ambient sound processing module；The voice obtains
Module is used to obtain the voice messaging of identified personnel；The voiceprint extraction module obtains module with the voice and connect, and is used for
Extract the vocal print in the voice of identified personnel；The ambient sound processing module is used for the ambient sound of identification region
Reason；The voiceprint extraction module is connect with the analysis module, and the voiceprint extraction module is exported to the analysis module and extracted
Identified personnel vocal print；
The analysis module includes property data base, and the pupil feature and vocal print for closing rule personnel are stored in the property data base
Feature；The analysis module is carried out by the feature that characteristic extracting module and/or voiceprint extraction module export and with property data base
It compares, personnel will be currently identified if successfully comparing labeled as conjunction rule personnel.
2. a kind of safety defense monitoring system based on the identification of multinomial changing features according to claim 1, which is characterized in that special
The feature of sign memory module storage includes the pupil feature of the identified personnel under default values of light, and default values of light includes at least
Three kinds of values of light.
3. a kind of safety defense monitoring system based on the identification of multinomial changing features according to claim 2, which is characterized in that point
It analyses module and adjusts module output light adjustment signal to light, light adjusts module and adjusts values of light extremely according to light adjustment signal
Default values of light；The feature acquisition module absorbs the eye feature of the identified personnel under default values of light, and the feature mentions
Modulus block extracts pupil feature of the current identified personnel under default light, and analysis module is by identified personnel in default light
Under pupil feature be compared with the feature in property data base, if comparing successfully, which is marked as closing
Rule personnel.
4. a kind of safety defense monitoring system based on the identification of multinomial changing features according to claim 1, which is characterized in that ring
Border sound processing module obtains ambient sound, and ambient sound is exported to the voiceprint extraction module, and the voiceprint extraction module is extracted
Distinctive tone in ambient sound, voiceprint extraction module export distinctive tone to analysis module.
5. a kind of safety defense monitoring system based on the identification of multinomial changing features according to claim 4, which is characterized in that special
Sign databases contain off-note sound, and analysis module obtains the distinctive tone of the voiceprint extraction module output, if distinctive tone
With the aspect ratio in property data base to success, then by identified personnel labeled as conjunction rule personnel.
6. a kind of work of safety defense monitoring system based on the identification of multinomial changing features according to claim 1-5
Method, which comprises the following steps:
The eye feature of identified personnel of the feature acquisition module intake in the cog region, and by eye feature to feature extraction
Module output；
Characteristic extracting module extracts the pupil feature in eye feature and exports pupil feature to analysis module；
Analysis module obtains pupil feature and pupil feature is compared with the feature in property data base；
Voice obtains the voice messaging for the identified personnel that module obtains in the cog region, and by voice messaging to voiceprint extraction
Module output；
Voiceprint extraction module extracts the vocal print in voice messaging, and vocal print is exported to analysis module；
Analysis module obtains vocal print and vocal print is compared with the feature in property data base；
If comparing successfully, this is identified personnel labeled as conjunction rule personnel by analysis module.
7. a kind of working method of safety defense monitoring system based on the identification of multinomial changing features according to claim 6,
It is characterized in that, comprising the following steps:
It is obtained according to pupil feature of the default values of light to identified personnel；
Property data base stores the pupil feature of the identified personnel under default light.
8. a kind of working method of safety defense monitoring system based on the identification of multinomial changing features according to claim 7,
It is characterized in that, comprising the following steps:
Analysis module adjusts module output light adjustment signal to light；
Light adjusts module and adjusts values of light according to light adjustment signal；
Feature acquisition module absorbs the eye feature of identified personnel, and eye feature is exported to characteristic extracting module；
Characteristic extracting module extracts the pupil feature in eye feature and exports pupil feature to analysis module；
Pupil feature under default values of light is compared analysis module with the feature in property data base；
If comparing successfully, which is marked as closing rule personnel.
9. a kind of working method of safety defense monitoring system based on the identification of multinomial changing features according to claim 6,
It is characterized in that, comprising the following steps:
Ambient sound processing obtains the ambient sound in cog region, and ambient sound is exported to voiceprint extraction module；
Distinctive tone in voiceprint extraction module extraction environment sound, and distinctive tone is exported to analysis module.
10. a kind of working method of safety defense monitoring system based on the identification of multinomial changing features according to claim 9,
It is characterized in that, comprising the following steps:
Analysis module receives distinctive tone and by the off-note signal to noise ratio pair in distinctive tone and property data base；
If comparing successfully, analysis module is by identified personnel labeled as conjunction rule personnel.
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Application publication date: 20190910 |