CN108536749A - The method for building personnel's Track View based on collision detection method - Google Patents
The method for building personnel's Track View based on collision detection method Download PDFInfo
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Abstract
The present invention provides a kind of method building personnel's Track View based on collision detection method, including：Step 1 establishes several personnel characteristics' intersections, and the face image of collected all personnel and the mobile phone MAC Address of all personnel under the conditions of a particular acquisition are included in each personnel characteristics' intersection, and the acquisition condition of each personnel characteristics' intersection is different；Step 2 one by one corresponds to the face image of personnel and its mobile phone MAC Address according to collision detection method；Step 3 chooses any personal information, and the corresponding collecting location of personnel's face image collecting location corresponding with its mobile phone MAC Address is united, the Track View of the personnel is built；Step 4 repeats step 3, until structure completes the Track View of all personnel's information.The present invention can establish the incidence relation between the face of personnel and mobile phone MAC Address, and the personnel track obtained according to face is merged with the personnel track obtained according to mobile phone MAC Address, obtain the wider array of personnel's Track View of coverage area.
Description
Technical field
The present invention relates to personnel's Track View fields, in particular to one kind based on collision detection method structure personnel track
The method of view.
Background technology
Personnel track refers to by the detection of a certain item unique mark to people, such as Face datection, mobile phone MAC Address
It detects to judge the location information of personnel, to build the Track View of personnel.
Such as detect the face of personnel X in place A, in place, B detects the face of personnel X, and in place, C detects people
The face of member X, it is accumulative with this, according to the position that the face of personnel X occurs, the Track View of personnel X can be obtained, is wrapped in view
Place A, place B, place C are contained.
In another example detect the mobile phone MAC Address of personnel X in place D, in place, E is with detecting the mobile phone MAC of personnel X
Location, in place, F detects the mobile phone MAC Address of personnel X, accumulative with this, according to the position that the mobile phone MAC Address of personnel X occurs,
The Track View of personnel X can be obtained, place D, place E, place F are contained in view.
However, since incidence relation can not be established between the face and mobile phone MAC Address of personnel X, thus according to face and
The Track View for the personnel X that mobile phone MAC Address respectively obtains can not merge, and can not obtain the wider array of personnel track of coverage area
View.
Invention content
Present invention aims at a kind of method building personnel's Track View based on collision detection method is provided, people can be established
Incidence relation between the face and mobile phone MAC Address of member, by the personnel track obtained according to face and according to mobile phone MAC Address
Obtained personnel track merges, and obtains the wider array of personnel's Track View of coverage area.
To reach above-mentioned purpose, the present invention refers to a kind of method building personnel's Track View based on collision detection method, institute
The method of stating includes：
Step 1 establishes several personnel characteristics' intersections, is included under the conditions of a particular acquisition in each personnel characteristics' intersection
The face image of collected all personnel and the mobile phone MAC Address of all personnel, the pick-up slip of each personnel characteristics' intersection
Part is different, and acquisition condition includes at least acquisition time, collecting location；
Step 2 one by one corresponds to the face image of personnel and its mobile phone MAC Address according to collision detection method；
Step 3 chooses any personal information, by the corresponding collecting location of personnel's face image and its mobile phone MAC Address
Corresponding collecting location is united, and the Track View of the personnel is built；
Step 4 repeats step 3, until structure completes the Track View of all personnel's information.
In further embodiment, it is described according to collision detection method one by one by the face image of personnel and its mobile phone MAC
The corresponding method in location includes：
Step a, mobile phone MAC Address one of is chosen in any one personnel characteristics' intersection, MAC1 is named into,
Itself and the face image in personnel characteristics' intersection are combined, N number of first face subset is generated；
Step b, personnel characteristics' intersection that another includes the MAC1 is searched and selects, MAC1 and the personnel is special
Face image in sign intersection is combined, and generates M second face's subsets；
Step c, the face image in the face image and second face's subset in first face's subset is subjected to group two-by-two
It closes, forms M*N third face subset；
Step d, aforementioned M*N third face subset is chosen successively, calculates two that each third face subset includes
The similarity of face image, and
In response to one of them and only there are one the similarities of two face images in third face subset to reach setting
Threshold value judges that the two face images belong to same personnel, and corresponding with MAC1；
Step e, step a-d is repeated, until the face image of all personnel is corresponding with its mobile phone MAC Address.
By the above technical scheme of the present invention, compared with existing, significant advantageous effect is that it is possible to the personnel's of establishing
Incidence relation between face and mobile phone MAC Address obtains the personnel track obtained according to face with according to mobile phone MAC Address
Personnel track merge, obtain the wider array of personnel's Track View of coverage area.
It should be appreciated that as long as aforementioned concepts and all combinations additionally conceived that describe in greater detail below are at this
Sample design it is not conflicting in the case of can be viewed as the disclosure subject matter a part.In addition, required guarantor
All combinations of the theme of shield are considered as a part for the subject matter of the disclosure.
Can be more fully appreciated from the following description in conjunction with attached drawing present invention teach that foregoing and other aspect, reality
Apply example and feature.The feature and/or advantageous effect of other additional aspects such as illustrative embodiments of the present invention will be below
Description in it is obvious, or by according to present invention teach that specific implementation mode practice in learn.
Description of the drawings
Attached drawing is not intended to drawn to scale.In the accompanying drawings, identical or approximately uniform group each of is shown in each figure
It can be indicated by the same numeral at part.For clarity, in each figure, not each component part is labeled.
Now, by example and the embodiments of various aspects of the invention will be described in reference to the drawings, wherein：
Fig. 1 is the method flow diagram that personnel's Track View is built based on collision detection method of the present invention.
Fig. 2 be the present invention based on collision detection method by the face image of personnel method corresponding with its mobile phone MAC Address
Flow chart.
Specific implementation mode
In order to know more about the technology contents of the present invention, spy lifts specific embodiment and institute's accompanying drawings is coordinated to be described as follows.
Various aspects with reference to the accompanying drawings to describe the present invention in the disclosure, shown in the drawings of the embodiment of many explanations.
It is not intended to cover all aspects of the invention for embodiment of the disclosure.It should be appreciated that a variety of designs and reality presented hereinbefore
Those of apply example, and describe in more detail below design and embodiment can in many ways in any one come it is real
It applies, this is because design disclosed in this invention and embodiment are not limited to any embodiment.In addition, disclosed by the invention one
A little aspects can be used alone, or otherwise any appropriately combined be used with disclosed by the invention.
The purpose of the present invention is to propose to a kind of methods, are closed with the association between the face for the personnel of establishing and mobile phone MAC Address
System, then merges the personnel track obtained according to face with the personnel track obtained according to mobile phone MAC Address, acquisition is covered
The wider array of personnel's Track View of lid range.
Such as the mobile phone MAC Address of the face and personnel X of personnel X is collected in place A, in place, B collects personnel X's
Face, in place, C collects the mobile phone MAC Address of personnel X, then according to face collection result, can obtain the track of personnel X,
Including place A and place B can obtain the track of personnel X according to mobile phone MAC Address collection result, including place B and place
C.If face and mobile phone MAC Address can be associated, the wider array of Track View of coverage area of personnel X can be obtained,
Including place A, place B, place C.
Technical solution proposed by the invention is elaborated below by some examples.
In conjunction with Fig. 1, the present invention refers to a kind of method building personnel's Track View based on collision detection method, the method packet
It includes：
Step 1 establishes several personnel characteristics' intersections, is included under the conditions of a particular acquisition in each personnel characteristics' intersection
The face image of collected all personnel and the mobile phone MAC Address of all personnel, the pick-up slip of each personnel characteristics' intersection
Part is different, and acquisition condition includes at least acquisition time, collecting location.
As long as there is a difference in acquisition condition, via step 1, we obtain several personnel characteristics' intersections, this
A little personnel characteristics' intersections can be regarded as being associated with the sample database of face and mobile phone MAC Address.
It is appreciated that the data in sample database are more, be more conducive to carry out related job, therefore this was acquired
Journey, the process for establishing personnel characteristics' intersection can continue to carry out, and further, upload cloud server, realize high in the clouds data
It is shared, or utilize big data technology etc..
Step 2 one by one corresponds to the face image of personnel and its mobile phone MAC Address according to collision detection method.
Step 3 chooses any personal information, by the corresponding collecting location of personnel's face image and its mobile phone MAC Address
Corresponding collecting location is united, and the Track View of the personnel is built.
Step 4 repeats step 3, until structure completes the Track View of all personnel's information.
Member X has two personnel characteristics, face image and mobile phone MAC Address, the two is matched, corresponding to the two
Address belong to member X, obtain more address informations about member X by this method.
Therefore, the face image for the personnel that correspondence is completed in step 2 and its mobile phone MAC Address can be stored in by we
One personal information database, each member in personal information database correspond to two personnel characteristics, face image and mobile phone
MAC Address, all address informations corresponding with the two personnel characteristics are belonged to the address information of the member, are obtained with this to draw
Take larger range of Track View.
In addition, in subsequent collecting work, if obtained again any one in face image and mobile phone MAC Address
A, we can directly be stored the address information newly obtained to corresponding member name by personnel query information database,
Matching operation without carrying out personnel characteristics again.
By aforementioned three steps it is found that a step of wherein most critical is step 2, i.e., one by one will according to collision detection method
The face image of personnel is corresponding with its mobile phone MAC Address.
The concrete application process of the collision detection method in step 2 is first elaborated below.
Collision detection method needs first to establish a benchmark, because the present invention pertains only to two personnel characteristics at present, therefore can
Using choose wherein any one personnel characteristics as benchmark, then use collision detection method with search with the benchmark it is matched another
Personnel characteristics.
For example, we using mobile phone MAC Address as benchmark, search and obtain corresponding face image.
Include several mobile phone MAC Address and several face images in any one personnel characteristics' intersection, if
One-man person's feature intersection, even if acquisition is without gaps and omissions, we clearly know the mobile phone MAC Address in personnel characteristics' intersection
It is one-to-one with face image, it is to belong to the same member that can not also tell which mobile phone MAC Address and face image,
Therefore the matching work that do mobile phone MAC Address and face image, at least needs two personnel characteristics' intersections, i.e.,：The member's
Mobile phone MAC Address and face image appear at least two personnel characteristics' intersections simultaneously, in this way, we only require to look up with
The same face image that the mobile phone MAC Address (benchmark) matches, can the preliminary judgement face image and the mobile phone MAC Address
It is likely to belong to the same member.
In conjunction with Fig. 2, under this precondition, it is described according to collision detection method one by one by the face image of personnel and its mobile phone
The corresponding method of MAC Address includes：
Step a, mobile phone MAC Address one of is chosen in any one personnel characteristics' intersection, MAC1 is named into,
MAC1, that is, aforementioned basic, next work should be to look for and the matched face images of MAC1.
MAC1 and the face image in personnel characteristics' intersection are combined, N number of first face subset is generated.
Step b, personnel characteristics' intersection that another includes the MAC1 is searched and selects, MAC1 and the personnel is special
Face image in sign intersection is combined, and generates M second face's subsets.
Next identical face image in first face's subset and second face's subset is searched, detailed process is as follows：
Step c, the face image in the face image and second face's subset in first face's subset is subjected to group two-by-two
It closes, forms M*N third face subset.
Step d, aforementioned M*N third face subset is chosen successively, calculates two that each third face subset includes
The similarity of face image, and
Reach given threshold in response to the similarity of two face images in any one third face subset, judges this
Two face images belong to same personnel, and corresponding with MAC1.
Step e, step a-d is repeated, until the face image of all personnel is corresponding with its mobile phone MAC Address.
Preferably, in step d, based on Euclidean distance to calculate the similar of two face images in third face subset
Degree.
Preferably, the given threshold uses 80%.
Here there is two kinds of special cases.
Meet the face of threshold requirement in the first special case, first face's subset and second face's subset with multiple similarities
Portion's image still can not judge which face image is corresponding with MAC1 in such cases.
For the special case, need to introduce it is new include the MAC1 personnel characteristics' intersection, generate more sample datas.
For example, we first choose personnel characteristics' intersection 1, personnel characteristics' intersection 2, include in the two personnel characteristics' intersections
There is MAC1, matched by the first round, it has been found that tool meets there are two similarity in personnel characteristics' intersection 1, personnel characteristics' intersection 2
The face image of threshold requirement：Face image 1, face image 2, can not determine MAC1 be in face image 1, face image 2
Which match.
At this time, it would be desirable to introduce it is new equally include MAC1 personnel characteristics' intersection 3, in personnel characteristics' intersection 3
Search whether that there are face images 1 and face image 2.If only existing face image 1 in personnel characteristics' intersection 3, we
It can be determined that MAC1 matches with face image 1, likewise, if only existing face image 2 in personnel characteristics' intersection 3, we
It can be determined that MAC1 matches with face image 2, and if existing simultaneously face image 1 and face image in personnel characteristics' intersection
2, then we still can not judge the corresponding face images of MAC1, this just need to introduce it is new equally include MAC1 personnel
Feature intersection 4, until it can determine the corresponding face images of MAC1, i.e.,：
In step d, reach given threshold if there is the similarity of two face images in multiple third faces subset,
Search and select it is new include the MAC1 personnel characteristics' intersection, by face image therein and aforesaid plurality of similarity
The face image for reaching given threshold compares,
1) in response to it is new include that there is only one and aforesaid plurality of similarity to reach for personnel characteristics' intersection of the MAC1
The identical face image of face image of given threshold, judges that the face image is corresponding with MAC1.
2) in response to it is new include that personnel characteristics' intersection of the MAC1 is reached there are more than one with aforesaid plurality of similarity
To the identical face image of face image of given threshold, introduce it is new include the MAC1 personnel characteristics' intersection, repeat face
The comparison of portion's image reaches the identical face of the face image of given threshold with aforesaid plurality of similarity and schemes until there is only one
Picture judges that the face image is corresponding with MAC1.
Given threshold is not achieved in the similarity of second of special case, the face image in M*N third face subset.
For the special case, we also need to introduce it is new equally include MAC1 personnel characteristics' intersection, carry out new one
The matching work of wheel, until finding similarity and reaching the face image of given threshold.
There are a kind of extreme cases for the special case, that is, have searched all personnel's feature intersection also and can not find similarity and reach
The face image of given threshold, in such cases, we judge with MAC1 corresponding to face image acquire gaps and omissions, by MAC,
M first face's subsets and N number of second face subset corresponding to MAC1 are stored in face's gaps and omissions database.
It, can be in conjunction with face's gaps and omissions database with quick when this is for the ease of subsequently there is new personnel characteristics' intersection to generate
Judging may with the presence or absence of matching in new personnel characteristics' intersection.
Specifically, when generating new personnel characteristics' intersection, and there are MAC1 in new personnel characteristics' intersection, by MAC1 with
Face image in new personnel characteristics' intersection is combined, and generates L the 4th face's subsets.
Face image in face image and the 4th face's subset in first face's subset is subjected to combination of two, by the
Face image in face image and the 4th face's subset in two face's subsets carries out combination of two, forms X the 5th faces
Subset, wherein X=M*L+N*L.
Aforementioned X the 5th face's subsets are chosen successively, calculate Liang Ge faces figure included in each 5th face's subset
The similarity of picture, and
Reach given threshold in response to the similarity of two face images in any one the 5th face's subset, judges this
Two face images belong to same personnel, and corresponding with MAC1.
Once matching complete, then will complete the matched mobile phone MAC Address of face image and its corresponding face's subset from
Face's gaps and omissions database removes, and does not influence subsequent operation.
To which the present invention refers to a kind of method building personnel's Track View based on collision detection method, can establish personnel
Face and mobile phone MAC Address between incidence relation, the personnel track obtained according to face is obtained with according to mobile phone MAC Address
To personnel track merge, obtain the wider array of personnel's Track View of coverage area.
Although the present invention has been disclosed as a preferred embodiment, however, it is not to limit the invention.Skill belonging to the present invention
Has usually intellectual in art field, without departing from the spirit and scope of the present invention, when can be used for a variety of modifications and variations.Cause
This, the scope of protection of the present invention is defined by those of the claims.
Claims (10)
1. a kind of method building personnel's Track View based on collision detection method, which is characterized in that the method includes：
Step 1 establishes several personnel characteristics' intersections, is included in each personnel characteristics' intersection under the conditions of a particular acquisition and acquires
The face image of all personnel arrived and the mobile phone MAC Address of all personnel, the acquisition condition of each personnel characteristics' intersection is not
Together, acquisition condition includes at least acquisition time, collecting location；
Step 2 one by one corresponds to the face image of personnel and its mobile phone MAC Address according to collision detection method；
Step 3 chooses any personal information, and the corresponding collecting location of personnel's face image is corresponding with its mobile phone MAC Address
Collecting location unite, build the Track View of the personnel；
Step 4 repeats step 3, until structure completes the Track View of all personnel's information.
2. the method according to claim 1 for building personnel's Track View based on collision detection method, which is characterized in that described
Method further includes：
The face image and its mobile phone MAC Address that will complete the personnel of correspondence are stored in a personal information database.
3. the method according to claim 1 for building personnel's Track View based on collision detection method, which is characterized in that described
According to collision detection method, by the face image of personnel, mobile phone MAC Address is corresponding refers to its one by one,
Using mobile phone MAC Address as benchmark, searches and obtain corresponding face image.
4. the method for building personnel's Track View based on collision detection method according to claim 1 or 3, feature exist
In described to include by the face image of personnel method corresponding with its mobile phone MAC Address one by one according to collision detection method：
Step a, mobile phone MAC Address one of is chosen in any one personnel characteristics' intersection, MAC1 is named into, by it
It is combined with the face image in personnel characteristics' intersection, generates N number of first face subset；
Step b, personnel characteristics' intersection that another includes the MAC1 is searched and selected, MAC1 and the personnel characteristics are closed
The face image of concentration is combined, and generates M second face's subsets；
Step c, the face image in the face image and second face's subset in first face's subset is subjected to combination of two, shape
At M*N third face subset；
Step d, aforementioned M*N third face subset is chosen successively, calculates the Liang Ge faces that each third face subset includes
The similarity of image, and
In response to one of them and only there are one the similarities of two face images in third face subset to reach given threshold,
Judge that the two face images belong to same personnel, and corresponding with MAC1；
Step e, step a-d is repeated, until the face image of all personnel is corresponding with its mobile phone MAC Address.
5. the method according to claim 4 for building personnel's Track View based on collision detection method, which is characterized in that described
The face image of personnel method corresponding with its mobile phone MAC Address includes one by one by collision detection method：
In step d, reach given threshold if there is the similarity of two face images in multiple third faces subset, searches
And select it is new include the MAC1 personnel characteristics' intersection, face image therein and aforesaid plurality of similarity are reached
The face image of given threshold compares,
1) in response to it is new include that personnel characteristics' intersection of the MAC1 reaches setting there is only one with aforesaid plurality of similarity
The identical face image of face image of threshold value, judges that the face image is corresponding with MAC1；
2) in response to it is new include the MAC1 personnel characteristics' intersection there are it is more than one reach with aforesaid plurality of similarity set
The identical face image of face image for determining threshold value, introduce it is new include the MAC1 personnel characteristics' intersection, repeat face's figure
The comparison of picture reaches the identical face image of the face image of given threshold with aforesaid plurality of similarity until there is only one,
Judge that the face image is corresponding with MAC1.
6. the method according to claim 4 for building personnel's Track View based on collision detection method, which is characterized in that step
In d, based on Euclidean distance to calculate the similarity of two face images in third face subset.
7. the method according to claim 4 for building personnel's Track View based on collision detection method, which is characterized in that described
Given threshold uses 80%.
8. the method according to claim 4 for building personnel's Track View based on collision detection method, which is characterized in that described
The face image of personnel method corresponding with its mobile phone MAC Address further includes one by one by collision detection method：
In step d, given threshold is not achieved in response to the similarity of the face image in M*N third face subset, judges
Acquire gaps and omissions with the face image corresponding to MAC1, by corresponding to MAC, MAC1 M first face's subsets and N number of second face
Subset is stored in face's gaps and omissions database.
9. the method according to claim 4 for building personnel's Track View based on collision detection method, which is characterized in that described
The face image of personnel method corresponding with its mobile phone MAC Address further includes one by one by collision detection method：
Simultaneously in response to 1) generating new personnel characteristics' intersection, 2) in new personnel characteristics' intersection there are MAC1, by MAC1 with it is new
Personnel characteristics' intersection in face image be combined, generate L the 4th face's subsets；
Face image in face image and the 4th face's subset in first face's subset is subjected to combination of two, by the second face
Face image in face image and the 4th face's subset in portion's subset carries out combination of two, forms Y the 5th face's subsets,
Wherein, Y=M*L+N*L；
Aforementioned Y the 5th face's subsets are chosen successively, calculate two face images included in each 5th face's subset
Similarity, and
Reach given threshold in response to the similarity of two face images in any one the 5th face's subset, judges the two
Face image belongs to same personnel, and corresponding with MAC1.
10. the method according to claim 9 for building personnel's Track View based on collision detection method, which is characterized in that institute
State collision detection method further includes one by one by the face image of personnel method corresponding with its mobile phone MAC Address：
The matched mobile phone MAC Address of face image and its corresponding face's subset will be completed to remove from face's gaps and omissions database.
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| CN111615062A (en) * | 2020-05-12 | 2020-09-01 | 博康云信科技有限公司 | Target person positioning method and system based on collision algorithm |
| CN113936124A (en) * | 2021-09-08 | 2022-01-14 | 南京金盾公共安全技术研究院有限公司 | Personnel identity identification method and device based on big data collision detection |
| CN113936124B (en) * | 2021-09-08 | 2024-09-27 | 南京金盾公共安全技术研究院有限公司 | Personnel identity recognition method and device based on big data collision detection |
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