CN105335727A - Identity identification system and method based on image and somatosensory analysis - Google Patents

Identity identification system and method based on image and somatosensory analysis Download PDF

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CN105335727A
CN105335727A CN201510759199.0A CN201510759199A CN105335727A CN 105335727 A CN105335727 A CN 105335727A CN 201510759199 A CN201510759199 A CN 201510759199A CN 105335727 A CN105335727 A CN 105335727A
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analysis
security protection
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CN105335727B (en
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吴华明
张俊
李良能
周梅
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Chengdu Wisdom Shulian Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/174Facial expression recognition
    • G06V40/175Static expression
    • 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
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • G06V40/23Recognition of whole body movements, e.g. for sport training

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Abstract

The invention discloses an identity identification system and a method based on image and somatosensory analysis. The system comprises a data acquisition module, a data analysis center and a security dispatching center connected in sequence, wherein the data acquisition module is used for acquiring face images and body actions in a security area; the data analysis center is used for analyzing the face images, expressions and the body actions; and the security dispatching center is used for carrying out security dispatching according to a result obtained through analysis of the data analysis center. According to the identity identification system and the method based on image and somatosensory analysis, whether a person in the security area enters illegally is judged through the face image, and security dispatching measures are taken; expression analysis is carried out on a legally-entering person; and when an abnormal expression is analyzed and obtained, a body action is further analyzed, and a more accurate basis is provided for judgment of hidden safety dangers.

Description

The identity authorization system analyzed based on image and body sense and method
Technical field
The present invention relates to a kind of identity authorization system of analyzing based on image and body sense and method.
Background technology
Security system refers to technological means such as adopting precaution by persons, equipment and techniques to have the basic functions such as detection, delay, reaction, for prevention, prevents criminal offence and great public order incident, and maintaining public order to stablize has great effect.
Existing safety-protection system is all provided with access control equipment mostly, and access control equipment is mostly based on fingerprint detection, in living community, not Intra-cell is not monitored except gate inhibition detects and the means of security protection, Migrant women is probably had to follow Intra-cell resident family, along with resident family enters community in opening time, there is certain potential safety hazard.
Some very important facilities are had in living community, such as power-supply unit, for net equipment etc., if be considered to destroy, quality of life will be had a strong impact on, generally, external staff is difficult to enter community, and the resident family of inside, community also there is no fear of destroying these facilities, but does not but get rid of some special circumstances of generation, after such as community internal members excessive drinking, just likely at unconscious middle these equipment of destruction.
In life, expression often can react heart condition and physiological situation; And people is when difference is expressed one's feelings, the profile of facial various piece and shape are also different, and such as when happiness, eyebrow and the corners of the mouth all can have corresponding change, after excessive drinking, also can find out respective change from eye expression.
But, also can there is certain error to Expression analysis separately, consider this error, data analysis is carried out in conjunction with human action in the basis of image, expression, thus carry out safety-protection system deployment, implement security monitor, stablizing keeping the peace has huge benefit.
Summary of the invention
The object of the invention is to overcome the deficiencies in the prior art, a kind of identity authorization system of analyzing based on image and body sense and method are provided, whether can be illegally enter to judge to the personnel in security protection region by facial image, and by taking security protection Operation Measures; Expression analysis can be carried out to the legal personnel entered; Carry out human action analysis further when analysis obtains expressing one's feelings abnormal, foundation more accurately can be provided for the judgement of potential safety hazard.
The object of the invention is to be achieved through the following technical solutions: the identity authorization system analyzed based on image and body sense, comprise connect in turn data acquisition module, data analysis center and security protection dispatching center;
Described data acquisition module is used for gathering the facial image in security protection region and human action;
Described data analysis center comprises image analysis module, Expression analysis module, motion analysis module and memory module; Image analysis module, Expression analysis module are connected with memory module respectively with motion analysis module;
Described image analysis module is used for analyzing the image collected, and judges whether the personnel identity that image is corresponding has the authority entering security protection region;
Described motion analysis module is used for analyzing abnormal operation, judges that whether the action of counterpart personnel in security protection region be abnormal;
Described Expression analysis module is used for carrying out facial Expression Analysis to the image collected, and obtains corresponding risk parameters;
Described memory module is for storing abnormal operation and having the facial image of personnel of security protection region access entitlements, and this image carries out when counterpart personnel expresses one's feelings normal unifying shooting;
The result that described security protection dispatching center is used for obtaining according to data analysis center analysis carries out security protection scheduling, guarantees the safety in security protection region.
The data preprocessing module that described data acquisition module comprises multiple distributed front-end acquisition device and is connected with front-end acquisition device; Each front-end acquisition device comprises camera and body propagated sensation sensor; Data preprocessing module be used for camera collection to image carry out pre-service, obtain facial image of the same size with image in storer, the facial image that the action data simultaneously collected by body propagated sensation sensor and pre-service obtain is packed.
The authentication method of the described identity authorization system analyzed based on image and body sense, comprises the following steps:
S1. data acquisition module is utilized to carry out facial image and corresponding human action collection to the mobile personnel in safety-protection system region, and by the real-time data transmission that collects to data analysis center;
S2. data analysis center carries out graphical analysis to the current image collected, and judges whether to find the facial image corresponding with the current image collected in a storage module:
(1) when can find the facial image corresponding with the current image collected in a storage module, counterpart personnel has the authority entering security protection region, enters for legal, extracts the facial image that memory module is corresponding, and jumps to step S3;
(2), when can not find the facial image corresponding with the current image collected in a storage module, counterpart personnel does not have the authority entering security protection region, for illegally entering, jumps to step S6;
S3. data analysis center carries out Expression analysis to the current facial image collected, and draws corresponding risk parameters;
S4. data analysis center judges whether risk parameters is less than risk parameters threshold value:
(1) if risk parameters is less than risk parameters threshold value, expression is normal, and there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6;
(2) if risk parameters is not less than risk parameters threshold value, express one's feelings abnormal, jump to step S5;
S5. the human action of data analysis center to this facial image counterpart personnel is analyzed, and judges whether to deposit the abnormal operation recorded in a storage module:
(1) there is abnormal operation, jump to step S6;
(2) there is not abnormal operation, then there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6;
Further, the abnormal operation recorded in memory module comprises plays thing, accelerates suddenly to run, walk grogginess, gazes around.
S6. security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, and this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6.
Described step S1 comprises following sub-step:
S11. the camera in security protection region carries out image acquisition to the personnel of process in real time, and meanwhile, the human action of body propagated sensation sensor to these personnel gathers; And by the image that collects and human action real-time Transmission to data preprocessing module;
S12. data preprocessing module carries out pre-service to the image collected, and obtains facial image, and the facial image that adjustment obtains makes image in itself and storer in the same size;
S13. the facial image that the action data that collected by body propagated sensation sensor of data preprocessing module and pre-service obtain is packed;
S14. the data after packing are sent to data analysis center by data preprocessing module in real time.
Described step S3 comprises following sub-step:
S31. defining the current facial image collected is image A, with the center of image A for true origin o, sets up x-o-y rectangular coordinate system;
S32. defining the facial image extracted from memory module is image B, places overlapping with image A for image B;
S33. for the some M (on face any point) on face, pixel coordinate A1(x1, y1 that it is corresponding in image A is obtained), and obtain its pixel coordinate B1(x2, y2 corresponding in image B);
S34. the distance of A1 and B1 in x-o-y rectangular coordinate system is obtained;
S35. for each point on face, repeat S33 ~ S34, try to achieve the coordinate distance that this is corresponding in image A and image B, until the coordinate distance that all-pair is answered has solved;
S36. the coordinate distance that all-pair is answered is sued for peace, obtain risk parameters.
Further, parameter is being asked in a process, can consider to eyebrow, face and eyes on face corresponding carry out special processing a little: carrying out in distance summation process, corresponding to eyebrow, face and eyes coordinate distance corresponding a little is in both images amplified 10 times (being multiplied by 10), then participates in summation and obtain risk parameters.
In step S6, security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, is divided into following two kinds of situations:
(1) according to the analysis of data analysis center to image, when not having the personnel entering security protection zone permission and illegally entering, sacurity dispatching module reminds security personnel find and ask the appearance of this personnel illegally entered;
(2) according to data analysis center analysis, when Expression analysis, risk parameters is not less than threshold value, and when human action analysis also exists abnormal operation, the facial image of correspondence and human action data are supplied to security personnel by security protection scheduling, and remind security personnel to carry out artificial cognition and confirmation; Security personnel are manually judging facial image, after confirming that counterpart personnel has potential safety hazard, carry out continuous surveillance to it.
The invention has the beneficial effects as follows: whether (1) can be illegally enter to judge to the personnel in security protection region by facial image, and by taking security protection Operation Measures, ensure that the safety and stability in security protection region;
(2) Expression analysis and motion analysis are carried out to the legal personnel of entering, whether potential safety hazard is existed to it and judges, and take security protection Operation Measures when there is potential safety hazard, ensure the safety and stablization in security protection region;
(3) when carrying out Expression analysis, under same coordinate system, corresponding pixel points distance summation in normal facial image and the current facial image collected is obtained parameter, then according to the method that parameter is compared with threshold value, can to go out to express one's feelings abnormal facial image by Effective selection;
(4) corresponding to the abnormal facial image of expression human action is analyzed, and judges that whether human action is normal, thus filters out abnormal, the action also abnormal personnel of expression; Judgement for potential safety hazard provides foundation more accurately;
(5) in security protection dispatching system, carry out artificial cognition confirmation further by the corresponding data of manual analysis to abnormal, the action of expression also abnormal personnel, determine whether there is potential safety hazard thus.
Accompanying drawing explanation
Fig. 1 is system principle diagram of the present invention;
Fig. 2 is method flow diagram of the present invention.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail, but protection scope of the present invention is not limited to the following stated.
As shown in Figure 1, based on the identity authorization system that image and body sense are analyzed, comprise connect in turn data acquisition module, data analysis center and security protection dispatching center;
Described data acquisition module is used for gathering the facial image in security protection region and human action;
Described data analysis center comprises image analysis module, Expression analysis module, motion analysis module and memory module; Image analysis module, Expression analysis module are connected with memory module respectively with motion analysis module;
Described image analysis module is used for analyzing the image collected, and judges whether the personnel identity that image is corresponding has the authority entering security protection region;
Described motion analysis module is used for analyzing abnormal operation, judges that whether the action of counterpart personnel in security protection region be abnormal;
Described Expression analysis module is used for carrying out facial Expression Analysis to the image collected, and obtains corresponding risk parameters;
Described memory module is for storing abnormal operation and having the facial image of personnel of security protection region access entitlements, and this image carries out when counterpart personnel expresses one's feelings normal unifying shooting;
The result that described security protection dispatching center is used for obtaining according to data analysis center analysis carries out security protection scheduling, guarantees the safety in security protection region.
The data preprocessing module that described data acquisition module comprises multiple distributed front-end acquisition device and is connected with front-end acquisition device; Each front-end acquisition device comprises camera and body propagated sensation sensor; Data preprocessing module be used for camera collection to image carry out pre-service, obtain facial image of the same size with image in storer, the facial image that the action data simultaneously collected by body propagated sensation sensor and pre-service obtain is packed.
As shown in Figure 2, the authentication method of the described identity authorization system analyzed based on image and body sense, comprises the following steps:
S1. data acquisition module is utilized to carry out facial image and corresponding human action collection to the mobile personnel in safety-protection system region, and by the real-time data transmission that collects to data analysis center;
S2. data analysis center carries out graphical analysis to the current image collected, and judges whether to find the facial image corresponding with the current image collected in a storage module:
(1) when can find the facial image corresponding with the current image collected in a storage module, counterpart personnel has the authority entering security protection region, enters for legal, extracts the facial image that memory module is corresponding, and jumps to step S3;
(2), when can not find the facial image corresponding with the current image collected in a storage module, counterpart personnel does not have the authority entering security protection region, for illegally entering, jumps to step S6;
S3. data analysis center carries out Expression analysis to the current facial image collected, and draws corresponding risk parameters;
S4. data analysis center judges whether risk parameters is less than risk parameters threshold value:
(1) if risk parameters is less than risk parameters threshold value, expression is normal, and there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and carries out the process of step S2 ~ step S6;
(2) if risk parameters is not less than risk parameters threshold value, express one's feelings abnormal, jump to step S5;
S5. the human action of data analysis center to this facial image counterpart personnel is analyzed, and judges whether to deposit the abnormal operation recorded in a storage module:
(1) there is abnormal operation, jump to step S6;
(2) there is not abnormal operation, then there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and carries out the process of step S2 ~ step S6;
Further, the abnormal operation recorded in memory module comprises plays thing, accelerates suddenly to run, walk grogginess, gazes around.
S6. security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, and this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and carries out the process of step S2 ~ step S6.
Described step S1 comprises following sub-step:
S11. the camera in security protection region carries out image acquisition to the personnel of process in real time, and meanwhile, the human action of body propagated sensation sensor to these personnel gathers; And by the image that collects and human action real-time Transmission to data preprocessing module;
S12. data preprocessing module carries out pre-service to the image collected, and obtains facial image, and the facial image that adjustment obtains makes image in itself and storer in the same size;
S13. the facial image that the action data that collected by body propagated sensation sensor of data preprocessing module and pre-service obtain is packed;
S14. the data after packing are sent to data analysis center by data preprocessing module in real time.
Further, due to the real-time of data collecting module collected data and transmission data, the data that data analysis center is being analyzed only have one group (comprising a current facial image collected and corresponding human action); Even if it is image data at the same time that the multiple front-end acquisition device be distributed in security protection region appear to, but carried out making a video recording or the time of action collection becomes more meticulous, always have trickle lead time, and this trickle lead time enough computer software or complete one group of data of routine processes; So there will not be data in the medium pending situation of buffer area, the current image processed also only has one; And the real-time of this acquisition and processing just ensure that the Timeliness coverage of potential safety hazard, avoid the unnecessary loss because time delays brings.
Described step S3 comprises following sub-step:
S31. defining the current facial image collected is image A, with the center of image A for true origin o, sets up x-o-y rectangular coordinate system;
S32. defining the facial image extracted from memory module is image B, places overlapping with image A for image B;
S33. for the some M on face, pixel coordinate A1(x1, y1 that it is corresponding in image A is obtained), and obtain its pixel coordinate B1(x2, y2 corresponding in image B);
S34. the distance of A1 and B1 in x-o-y rectangular coordinate system is obtained;
S35. for each point on face, repeat S33 ~ S34, try to achieve the coordinate distance that this is corresponding in image A and image B, until the coordinate distance that all-pair is answered has solved;
S36. the coordinate distance that all-pair is answered is sued for peace, obtain risk parameters.
Further, parameter is being asked in a process, can consider to eyebrow, face and eyes on face corresponding carry out special processing a little: carrying out in distance summation process, corresponding to eyebrow, face and eyes coordinate distance corresponding a little is in both images amplified 10 times (being multiplied by 10), then participates in summation and obtain risk parameters.
In step S6, security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, is divided into following two kinds of situations:
(1) according to the analysis of data analysis center to image, when not having the personnel entering security protection zone permission and illegally entering, sacurity dispatching module reminds security personnel find and ask the appearance of this personnel illegally entered;
(2) according to data analysis center analysis, when Expression analysis, risk parameters is not less than threshold value, and when human action analysis also exists abnormal operation, the facial image of correspondence and human action data are supplied to security personnel by security protection scheduling, and remind security personnel to carry out artificial cognition and confirmation; Security personnel are manually judging facial image, after confirming that counterpart personnel has potential safety hazard, carry out continuous surveillance to it.

Claims (6)

1., based on the identity authorization system that image and body sense are analyzed, it is characterized in that: comprise connect in turn data acquisition module, data analysis center and security protection dispatching center;
Described data acquisition module is used for gathering the facial image in security protection region and human action;
Described data analysis center comprises image analysis module, Expression analysis module, motion analysis module and memory module; Image analysis module, Expression analysis module are connected with memory module respectively with motion analysis module;
Described image analysis module is used for analyzing the image collected, and judges whether the personnel identity that image is corresponding has the authority entering security protection region;
Described motion analysis module is used for analyzing abnormal operation, judges that whether the action of counterpart personnel in security protection region be abnormal;
Described Expression analysis module is used for carrying out facial Expression Analysis to the image collected, and obtains corresponding risk parameters;
Described memory module is for storing abnormal operation and having the facial image of personnel of security protection region access entitlements, and this image carries out when counterpart personnel expresses one's feelings normal unifying shooting;
The result that described security protection dispatching center is used for obtaining according to data analysis center analysis carries out security protection scheduling, guarantees the safety in security protection region.
2. the identity authorization system analyzed based on image and body sense according to claim 1, is characterized in that: the data preprocessing module that described data acquisition module comprises multiple distributed front-end acquisition device and is connected with front-end acquisition device; Each front-end acquisition device comprises camera and body propagated sensation sensor; Data preprocessing module be used for camera collection to image carry out pre-service, obtain facial image of the same size with image in storer, the facial image that the action data simultaneously collected by body propagated sensation sensor and pre-service obtain is packed.
3. the authentication method of the identity authorization system analyzed based on image and body sense according to claim 1 and 2, is characterized in that: comprise the following steps:
S1. data acquisition module is utilized to carry out facial image and corresponding human action collection to the mobile personnel in safety-protection system region, and by the real-time data transmission that collects to data analysis center;
S2. data analysis center carries out graphical analysis to the current image collected, and judges whether to find the facial image corresponding with the current image collected in a storage module:
(1) when can find the facial image corresponding with the current image collected in a storage module, counterpart personnel has the authority entering security protection region, enters for legal, extracts the facial image that memory module is corresponding, and jumps to step S3;
(2), when can not find the facial image corresponding with the current image collected in a storage module, counterpart personnel does not have the authority entering security protection region, for illegally entering, jumps to step S6;
S3. data analysis center carries out Expression analysis to the current facial image collected, and draws corresponding risk parameters;
S4. data analysis center judges whether risk parameters is less than risk parameters threshold value:
(1) if risk parameters is less than risk parameters threshold value, expression is normal, and there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6;
(2) if risk parameters is not less than risk parameters threshold value, express one's feelings abnormal, jump to step S5;
S5. the human action of data analysis center to this facial image counterpart personnel is analyzed, and judges whether to deposit the abnormal operation recorded in a storage module:
(1) there is abnormal operation, jump to step S6;
(2) there is not abnormal operation, then there is not potential safety hazard, this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6;
S6. security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, and this analyzes end, waits for that data collecting module collected transmits the human action of next facial image and correspondence thereof, and it is carried out to the process of step S2 ~ S6.
4. the authentication method of the identity authorization system analyzed based on image and body sense according to claim 3, is characterized in that: described step S1 comprises following sub-step:
S11. the camera in security protection region carries out image acquisition to the personnel of process in real time, and meanwhile, body propagated sensation sensor carries out Real-time Collection to the human action of these personnel; And by the image that collects and human action real-time Transmission to data preprocessing module;
S12. data preprocessing module carries out pre-service to the image collected, and obtains facial image, and the facial image that adjustment obtains makes image in itself and storer in the same size;
S13. the facial image that the action data that collected by body propagated sensation sensor of data preprocessing module and pre-service obtain is packed;
S14. the data after packing are sent to data analysis center by data preprocessing module in real time.
5. the authentication method of the identity authorization system analyzed based on image and body sense according to claim 3, is characterized in that: described step S3 comprises following sub-step:
S31. defining the current facial image collected is image A, with the center of image A for true origin o, sets up x-o-y rectangular coordinate system;
S32. defining the facial image extracted from memory module is image B, places overlapping with image A for image B;
S33. for the some M on face, pixel coordinate A1(x1, y1 that it is corresponding in image A is obtained), and obtain its pixel coordinate B1(x2, y2 corresponding in image B);
S34. the distance of A1 and B1 in x-o-y rectangular coordinate system is obtained;
S35. for each point on face, repeat S33 ~ S34, try to achieve the coordinate distance that this is corresponding in image A and image B, until the coordinate distance that all-pair is answered has solved;
S36. the coordinate distance that all-pair is answered is sued for peace, obtain risk parameters.
6. the authentication method of the identity authorization system analyzed based on image and body sense according to claim 3, is characterized in that: in step S6, security protection dispatching center takes corresponding security protection Operation Measures, guarantees the safety in security protection region, is divided into following two kinds of situations:
(1) according to the analysis of data analysis center to image, when not having the personnel entering security protection zone permission and illegally entering, sacurity dispatching module reminds security personnel find and ask the appearance of this personnel illegally entered;
(2) according to data analysis center analysis, when Expression analysis, risk parameters is not less than threshold value, and when human action analysis also exists abnormal operation, the facial image of correspondence and human action data are supplied to security personnel by security protection scheduling, and remind security personnel to carry out artificial cognition and confirmation.
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