CN109063655A - Feature matching method, device, computer equipment and storage medium - Google Patents

Feature matching method, device, computer equipment and storage medium Download PDF

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Publication number
CN109063655A
CN109063655A CN201810890180.3A CN201810890180A CN109063655A CN 109063655 A CN109063655 A CN 109063655A CN 201810890180 A CN201810890180 A CN 201810890180A CN 109063655 A CN109063655 A CN 109063655A
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China
Prior art keywords
feature
target
characteristic
groups
effective
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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.)
Pending
Application number
CN201810890180.3A
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Chinese (zh)
Inventor
张剑
周涛
王水兵
林伟烽
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Shenzhen Xiewang Technology Co Ltd
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Shenzhen Xiewang 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.)
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Priority to CN201810890180.3A priority Critical patent/CN109063655A/en
Publication of CN109063655A publication Critical patent/CN109063655A/en
Pending legal-status Critical Current

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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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211Selection of the most significant subset of features

Abstract

The invention discloses a kind of feature matching method, device, computer equipment and storage mediums, wherein, this feature matching process includes: to obtain at least two groups character features data based on default spatial-temporal query condition, and every group of character features data include at least one effective electron feature and at least one effective biological characteristic;Intersection operation is carried out to all groups of other effective electron features, obtains at least one target electronic feature;Intersection operation is carried out to all groups of other effective biological characteristics, obtains at least one target biometric;Target electronic feature and target biometric are matched, target person feature is constituted.This method, which passes through, may make up target person feature after all effective electron features and effective biological characteristic progress characteristic matching, the electronic characteristic of target person and biological characteristic are mapped, the positioning accuracy to target person is improved, the tracking difficulty of safety monitoring is reduced.

Description

Feature matching method, device, computer equipment and storage medium
Technical field
The present invention relates to safety-security areas more particularly to a kind of feature matching method, device, computer equipment and storage to be situated between Matter.
Background technique
The terminal devices such as Current electronic police and camera can only realize that section monitors, that is, the biological characteristic of the people monitored For example No. MAC of image and mobile device is isolated data, there are significant limitations in terms of security protection for terminal device, it is difficult to Effective information is extracted from isolated data.Valid data how are extracted from mask data to ask as urgently to be resolved Topic.
Summary of the invention
Based on this, it is necessary to which in view of the above technical problems, valid data can be extracted from mask data by providing one kind Feature matching method, device, computer equipment and storage medium.
A kind of feature matching method, comprising:
At least two groups character features data are obtained based on default spatial-temporal query condition, every group of character features data include at least One effective electron feature and at least one effective biological characteristic;
Intersection operation is carried out to all groups of other effective electron features, obtains at least one target electronic feature;
Intersection operation is carried out to all groups of other effective biological characteristics, obtains at least one target biometric;
Target electronic feature and target biometric are matched, target person feature is constituted.
A kind of characteristic matching device, comprising:
Characteristic module is obtained, for obtaining at least two groups character features data based on default spatial-temporal query condition, often Group character features data include at least one effective electron feature and at least one effective biological characteristic;
Electronic characteristic module is obtained, for carrying out intersection operation to all groups of other effective electron features, obtains at least one A target electronic feature;
Biological characteristic module is obtained, for carrying out intersection operation to all groups of other effective biological characteristics, obtains at least one A target biometric;
Character features module is constituted, for matching target electronic feature and target biometric, constitutes target person Object feature.
A kind of computer equipment, including memory, processor and storage can be run in memory and on a processor Computer program, processor execute computer program when realize features described above matching process the step of.
A kind of computer readable storage medium, computer-readable recording medium storage have computer program, computer program The step of features described above matching process is realized when being executed by processor.
Features described above matching process, device, computer equipment and storage medium, by being obtained based on default spatial-temporal query condition At least two groups character features data are taken, every group of character features data include at least one effective electron feature and at least one is effective Biological characteristic may make up target person feature after all effective electron features and effective biological characteristic are carried out characteristic matching, will The electronic characteristic and biological characteristic of target person are mapped, and improve the positioning accuracy to target person, reduce safety monitoring Tracking difficulty.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of feature matching method in one embodiment of the invention;
Fig. 2 is a flow chart of feature matching method in one embodiment of the invention;
Fig. 3 is another flow chart of feature matching method in one embodiment of the invention;
Fig. 4 is another flow chart of feature matching method in one embodiment of the invention;
Fig. 5 is another flow chart of feature matching method in one embodiment of the invention;
Fig. 6 is another flow chart of feature matching method in one embodiment of the invention;
Fig. 7 is another flow chart of feature matching method in one embodiment of the invention;
Fig. 8 is a functional block diagram of characteristic matching device in one embodiment of the invention;
Fig. 9 is a schematic diagram of computer equipment in one 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 some of the embodiments of the present invention, instead of all the embodiments.Based on this hair Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts Example, shall fall within the protection scope of the present invention.
Information provided by the present application customizes sending method, can be applicable in the application environment such as Fig. 1, wherein terminal device It is communicated by network with monitoring server.Wherein, terminal device includes but is not limited to various personal computers, terminal acquisition Equipment, laptop, smart phone, tablet computer and portable wearable device.Monitoring server can use independent clothes The server cluster of business device either multiple servers composition is realized.
In one embodiment, as shown in Fig. 2, providing a kind of feature matching method, the monitoring in Fig. 1 is applied in this way It is illustrated, includes the following steps: for server
S10. at least two groups character features data are obtained based on default spatial-temporal query condition, every group of character features data include At least one effective electron feature and at least one effective biological characteristic.
Wherein, spatial-temporal query condition is exactly the condition that section and predeterminable area are inquired at preset timed intervals.For example, can define Of that month No. 1 security protection of city two of inquiry, which is sensitively put, to be inquired etc..Effective electron feature is that the portable electronics of people is set Standby mac, imei or imsi number etc..Effective biological characteristic is face etc..
S20. intersection operation is carried out to all groups of other effective electron features, obtains at least one target electronic feature.
Specifically, target electronic feature is exactly the effective electron feature all occurred in specified place.
In this step, the retrievable target electronic of monitoring server is characterized in special in each group of effective electron occurred Sign.
S30. intersection operation is carried out to all groups of other effective biological characteristics, obtains at least one target biometric.
Specifically, target biometric is exactly the effective biological characteristic all occurred in specified place, such as face figure Picture.
In this step, the retrievable target biometric of monitoring server is the effective biology spy occurred at each group Sign.
S40. target electronic feature and target biometric are matched, constitutes target person feature.
It is to be appreciated that the character features data all occurred under the conditions of multi-retrieving, namely should in security protection face place The corresponding party of task characteristic occurred.It can be by matching the target electronic feature repeated and target organism After feature, obtain the corresponding target electronic feature of target person feature and target biometric, in order to confirm party namely Target person feature.The subsequent place lock that can be occurred in target person rapidly based on the corresponding target person feature of the target person The fixed target person.
The feature matching method that the present embodiment proposes is special by obtaining at least two groups personage based on default spatial-temporal query condition Data are levied, every group of character features data include at least one effective electron feature and at least one effective biological characteristic, will be owned Effective electron feature and effective biological characteristic may make up target person feature after carrying out characteristic matching, and the electronics of target person is special Biological characteristic of seeking peace is mapped, and improves the positioning accuracy to target person, reduces the tracking difficulty of safety monitoring.
In one embodiment, as shown in figure 3, in step S10, i.e., at least two groups people is obtained based on default spatial-temporal query condition Object characteristic, specifically comprises the following steps:
S11. at least one specified acquisition period and at least two specified pickup areas are obtained as default spatial-temporal query item Part.
S12. it based on default spatial-temporal query condition, is obtained and at least two specified pickup areas in data acquisition of terminal library Corresponding at least two groups character features data.
In the present embodiment, multiple sensitive sites that monitoring server can may occur in which according to suspect are obtained by terminal device Multiple sensitivity fields biological characteristic collected and electronic information are taken, suspect is positioned based on above- mentioned information conducive to subsequent.
In one embodiment, it as shown in figure 4, before step S12, i.e., is obtained and at least two in data acquisition of terminal library Before the step of a specified pickup area corresponding at least two groups character features data, this feature matching process further includes walking as follows It is rapid:
S121. controlling terminal equipment acquires character features data in real time, and character features data include at least one effectively electricity Subcharacter and at least one effective biological characteristic.
Wherein, the terminal device that the present embodiment proposes is that integral type acquires equipment, can acquire the effective electron of personage simultaneously Feature and effective biological characteristic.
S122. the character features data acquired in real time are remained in data acquisition of terminal library.
Wherein, data acquisition of terminal library temporally saves the collected character features of terminal device with space Database.
The effective electron feature that personage can be obtained by integral type terminal device simultaneously in the present embodiment and effectively biology spy Sign reduces the purchase cost and installation cost of configuration separation acquisition equipment.
In one embodiment, as shown in figure 5, in step S20, i.e., intersection fortune is carried out to all groups of other effective electron features It calculates, obtains target electronic feature, specifically comprise the following steps:
S21. the feature frequency of occurrence of each effective electron feature is counted.
S22. it will be greater than the corresponding effective electron feature of feature frequency of occurrence of preset threshold as target electronic feature.
Wherein, threshold value is generally the quantity of the pickup area set.It is to be appreciated that security personnel set the region of inquiry It all at least can be by the end in the region in sensitizing range both for the sensitizing range namely suspect for being likely to occur same suspect End equipment acquisition is primary.The data of pickup area are set a threshold to according to reasonability.
In one embodiment, as shown in fig. 6, in step S30, i.e., intersection fortune is carried out to all groups of other effective biological characteristics It calculates, obtains target biometric, specifically comprise the following steps:
S31. the feature frequency of occurrence of each effective biological characteristic is counted.
S32. it will be greater than the corresponding effective biological characteristic of feature frequency of occurrence of preset threshold as target biometric.
Wherein, threshold value is generally the quantity of the pickup area set.It is to be appreciated that security personnel set the region of inquiry It all at least can be by the end in the region in sensitizing range both for the sensitizing range namely suspect for being likely to occur same suspect End equipment acquisition is primary.The data of pickup area are set a threshold to according to reasonability.
In one embodiment, as shown in fig. 7, in step S40, i.e., by target electronic feature and target biometric progress Match, constitutes target person feature, specifically comprise the following steps:
S41. the lineup's object characteristic for only including a target electronic feature is obtained as target set of data.
It is to be appreciated that the group of a target electronic feature will be only included as target set of data, it can precise positioning mesh Mark personage.When avoiding occurring in group at least two target electronic features, it is difficult to by target electronic feature and target biometric The case where being matched.
S42. obtain the target biometric of target set of data record, then by target electronic feature and target biometric into Row corresponds to, and constitutes target person feature.
Wherein, target person is characterized in that effective electron feature and effective biological characteristic can correspond to the feature of same people.It is preferred that Ground, if the effective electron feature can management objectives identity of personage feature such as identification card number or cell-phone number etc., can be by the mesh Identity of personage feature is marked as identity ID and target electronic feature and target biometric and carries out secondary association again, with further true Recognize target suspect.
The feature matching method that the present embodiment proposes is special by obtaining at least two groups personage based on default spatial-temporal query condition Data are levied, every group of character features data include at least one effective electron feature and at least one effective biological characteristic, will be owned Effective electron feature and effective biological characteristic may make up target person feature after carrying out characteristic matching, and the electronics of target person is special Biological characteristic of seeking peace is mapped, and improves the positioning accuracy to target person, reduces the tracking difficulty of safety monitoring.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit It is fixed.
In one embodiment, a kind of characteristic matching device, feature in this feature coalignment and above-described embodiment are provided Method of completing the square corresponds.As shown in figure 8, this feature coalignment includes obtaining characteristic module 10, obtaining electronic characteristic mould Block 20 obtains biological characteristic module 30 and constitutes character features module 40.Detailed description are as follows for each functional module:
Characteristic module 10 is obtained, for obtaining at least two groups character features data based on default spatial-temporal query condition, Every group of character features data include at least one effective electron feature and at least one effective biological characteristic.
Electronic characteristic module 20 is obtained, for carrying out intersection operation to all groups of other effective electron features, is obtained at least One target electronic feature.
Biological characteristic module 30 is obtained, for carrying out intersection operation to all groups of other effective biological characteristics, is obtained at least One target biometric.
Character features module 40 is constituted, for matching target electronic feature and target biometric, constitutes target Character features.
Specific about characteristic matching device limits the restriction that may refer to above for feature matching method, herein not It repeats again.Modules in features described above coalignment can be realized fully or partially through software, hardware and combinations thereof.On Stating each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also store in a software form In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal structure Figure can be as shown in Figure 9.The computer equipment includes processor, the memory, network interface sum number connected by system bus According to library.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory of the computer equipment includes Non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating The database of machine equipment is for storing data relevant to feature matching method.The network interface of the computer equipment be used for it is outer The terminal in portion passes through network connection communication.To realize a kind of feature matching method when the computer program is executed by processor.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, To any reference of memory, storage, database or other media used in each embodiment provided herein, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms, Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations;Although referring to aforementioned reality Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features;And these are modified Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all It is included within protection scope of the present invention.

Claims (10)

1. a kind of feature matching method characterized by comprising
At least two groups character features data are obtained based on default spatial-temporal query condition, character features data described in every group include at least One effective electron feature and at least one effective biological characteristic;
Intersection operation is carried out to all groups of other effective electron features, obtains at least one target electronic feature;
Intersection operation is carried out to all groups of other effective biological characteristics, obtains at least one target biometric;
The target electronic feature and the target biometric are matched, target person feature is constituted.
2. feature matching method as described in claim 1, which is characterized in that it is described based on default spatial-temporal query condition obtain to Few two groups of character features data, comprising:
At least one specified acquisition period and at least two specified pickup areas are obtained as default spatial-temporal query condition;
Based on the default spatial-temporal query condition, obtained and described at least two specified pickup areas in data acquisition of terminal library Corresponding at least two groups character features data.
3. feature matching method as claimed in claim 2, which is characterized in that it is described in data acquisition of terminal library obtain with Before the step of at least two specified pickup area corresponding at least two groups character features data, the side of the characteristic matching Method further include:
Controlling terminal equipment acquires character features data in real time, and the character features data include at least one effective electron feature With at least one effective biological characteristic;
The character features data acquired in real time are remained in data acquisition of terminal library.
4. feature matching method as described in claim 1, which is characterized in that described pair all groups other effective electron features into Row intersection operation obtains target electronic feature, comprising:
Count the feature frequency of occurrence of each effective electron feature;
The corresponding effective electron feature of the feature frequency of occurrence of preset threshold be will be greater than as target electronic feature.
5. feature matching method as described in claim 1, which is characterized in that described pair all groups other effective biological characteristics into Row intersection operation obtains target biometric, comprising:
Count the feature frequency of occurrence of each effective biological characteristic;
The corresponding effective biological characteristic of the feature frequency of occurrence of preset threshold be will be greater than as target biometric.
6. feature matching method as described in claim 1, which is characterized in that described by the target electronic feature and the mesh Mark biological characteristic is matched, and target person feature is constituted, comprising:
The lineup's object characteristic for only including the target electronic feature is obtained as target set of data;
Obtain the target biometric of the target set of data record, then it is the target electronic feature and the target is raw Object feature is corresponded to, and target person feature is constituted.
7. a kind of characteristic matching device characterized by comprising
Characteristic module is obtained, for obtaining at least two groups character features data, every group of institute based on default spatial-temporal query condition Stating character features data includes at least one effective electron feature and at least one effective biological characteristic;
Electronic characteristic module is obtained, for carrying out intersection operation to all groups of other effective electron features, obtains at least one mesh Mark electronic characteristic;
Biological characteristic module is obtained, for carrying out intersection operation to all groups of other effective biological characteristics, obtains at least one mesh Mark biological characteristic;
Character features module is constituted, for matching the target electronic feature and the target biometric, constitutes mesh Mark character features.
8. characteristic matching device as claimed in claim 7, which is characterized in that the acquisition characteristic module includes:
Querying condition unit is obtained, for obtaining at least one specified acquisition period and at least two specified pickup areas as pre- If spatial-temporal query condition;
Characteristic unit is obtained, for being based on the default spatial-temporal query condition, acquisition and institute in data acquisition of terminal library State the corresponding at least two groups character features data of at least two specified pickup areas.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to The step of any one of 6 feature matching method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists In the step of realization feature matching method as described in any one of claim 1 to 6 when the computer program is executed by processor Suddenly.
CN201810890180.3A 2018-08-07 2018-08-07 Feature matching method, device, computer equipment and storage medium Pending CN109063655A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111522984A (en) * 2020-04-26 2020-08-11 北京明略软件系统有限公司 Information matching method and device, electronic equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014022327A1 (en) * 2012-07-30 2014-02-06 Adelphic, Inc. Uniquely identifying a network-connected entity
CN105488372A (en) * 2015-11-26 2016-04-13 努比亚技术有限公司 Verification method and device
CN105790955A (en) * 2016-04-06 2016-07-20 深圳市博康智能信息技术有限公司 Method and system for associating MAC addresses with face information
CN106203458A (en) * 2015-04-29 2016-12-07 杭州海康威视数字技术股份有限公司 Crowd's video analysis method and system
CN107590439A (en) * 2017-08-18 2018-01-16 湖南文理学院 Target person identification method for tracing and device based on monitor video
CN107944402A (en) * 2017-11-29 2018-04-20 努比亚技术有限公司 A kind of detection method, device and computer-readable recording medium
CN107993301A (en) * 2018-02-28 2018-05-04 广州市勤思网络科技有限公司 Human face identification work-attendance checking system based on WiFi

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014022327A1 (en) * 2012-07-30 2014-02-06 Adelphic, Inc. Uniquely identifying a network-connected entity
CN106203458A (en) * 2015-04-29 2016-12-07 杭州海康威视数字技术股份有限公司 Crowd's video analysis method and system
CN105488372A (en) * 2015-11-26 2016-04-13 努比亚技术有限公司 Verification method and device
CN105790955A (en) * 2016-04-06 2016-07-20 深圳市博康智能信息技术有限公司 Method and system for associating MAC addresses with face information
CN107590439A (en) * 2017-08-18 2018-01-16 湖南文理学院 Target person identification method for tracing and device based on monitor video
CN107944402A (en) * 2017-11-29 2018-04-20 努比亚技术有限公司 A kind of detection method, device and computer-readable recording medium
CN107993301A (en) * 2018-02-28 2018-05-04 广州市勤思网络科技有限公司 Human face identification work-attendance checking system based on WiFi

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111522984A (en) * 2020-04-26 2020-08-11 北京明略软件系统有限公司 Information matching method and device, electronic equipment and storage medium
CN111522984B (en) * 2020-04-26 2024-03-22 北京明略软件系统有限公司 Information matching method and device, electronic equipment and storage medium

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