CN102646197A - Pre-warning information issuing method and system - Google Patents
Pre-warning information issuing method and system Download PDFInfo
- Publication number
- CN102646197A CN102646197A CN2012100392615A CN201210039261A CN102646197A CN 102646197 A CN102646197 A CN 102646197A CN 2012100392615 A CN2012100392615 A CN 2012100392615A CN 201210039261 A CN201210039261 A CN 201210039261A CN 102646197 A CN102646197 A CN 102646197A
- Authority
- CN
- China
- Prior art keywords
- early warning
- face information
- people
- information
- visitor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention relates to a pre-warning information issuing method and system. The pre-warning information issuing method comprises the steps of: comparing fourth face information respectively with all face information in a third-time pre-warning library and a blacklist pre-warning library, when the similarity between the fourth face information of some visitor and the face information of some visitor in the third-time pre-warning library is greater than a third preset threshold, judging that the two visitors are the same visitor, generating prompt information and pre-warning more than three times; and when the similarity between the fourth face information of some visitor and the face information of some visitor in the blacklist pre-warning library is greater than a third preset threshold, judging that the two visitors are the same visitor, generating prompt information and carrying out blacklist pre-warning. According to the invention, the safety of a public visiting occasion can be improved, pre-warning information is fully utilized and is immediately issued to security workers, thus helping the workers locating the position of a potential suspicious person, carrying out tracking inspection on the suspicious person and actively preventing the person attempting crime.
Description
Technical field
The invention belongs to the field that bulk information communicates in the LAN, relate to a kind of early warning information dissemination method and system.
Background technology
People's face detection recognition technology is applied in the video safety defense monitoring system gradually at present; Existing security technique guarding system is monitored and video record inside, open place through video safety monitoring equipment in real time, realizes the control of important area and the video recording retrieval after the incident generation.Raising along with the requirement of security of system protection management; It is also more and more that video camera is installed quantity; Only relying on managerial personnel that All Ranges is carried out monitoring now has been difficult to realize; And only participate in being difficult to the spectators that get into open place are correctly discerned in time and classify with artificial through monitored picture, particularly for a suspect that sets foot-point that the crime attempt is arranged, existing supervisory system can't be discerned and classifies spectators automatically; The a suspect could be confirmed through video recording retrieval playback in incident generation back often, and can't before the incident generation, realize active protection.The defective of existing security technique guarding system mainly shows: video monitoring mainly realizes image recording and to the monitoring in important place, the imagery exploitation rate is low, and manual work can't realize the monitoring management to full video image; In addition, managerial personnel can not in time find suspicious points in numerous image informations, and managerial personnel incident generation back often retrieve through video recording and searching incident origin and process, and manual work expends bigger; In addition, the video safety defense monitoring system can not be realized the active protection function well, and abundant image information is not carried out analyzing and processing well, and the safety management strategy can't be provided, and causes system investment big but effect is not enough.
Summary of the invention
The object of the present invention is to provide a kind of early warning information dissemination method and system; Can improve the security in open visit place; Utilize early warning information fully, and be distributed to the security work personnel in time, help the staff to locate potential a suspect's position; And a suspect carried out follow-up investigations, the personnel that attempt is committed a crime realize active protection.
For addressing the above problem, the present invention provides a kind of early warning information dissemination method, comprising:
Further; In said method; When the similarity of the first face information of certain visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, and best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary storehouse;
Obtain third party's face information of each visitor through video camera; And everyone the face information in said third party's face information and the secondary storehouse compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary storehouse during greater than second predetermined threshold value; Then be judged as same visitor; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning storehouses;
The people's face information that needs is added blacklist deposits in the blacklist early warning storehouse;
Obtain each visitor's four-player face information through video camera; And with said four-player face information respectively with three early warning storehouses and blacklist early warning storehouse in everyone face information compare; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning storehouses during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning storehouse during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out the blacklist early warning.
Further, in said method, said carry out also comprising before early warning more than three times or the blacklist early warning said information is carried out the artificial step of confirming.
Further; In said method, said information comprises early warning classification, pre-warning time, early warning position, triggers the four-player face information of early warning, the people's face information in the blacklist early warning storehouse corresponding with the four-player face information of said triggering early warning, with three times corresponding early warning storehouses of the four-player face information of said triggering early warning in people's face information.
Further, in said method, the said early warning information that early warning or blacklist early warning are issued more than three times comprises early warning classification, people's face information, pre-warning time and early warning position.
Further, in said method, said early warning information sends to office terminal or portable terminal through network with the forms of broadcasting.
Further, in said method, saidly comprise that also generation is by the step of the track of people's face information of the visitor of early warning more than three times or blacklist early warning after early warning or the blacklist early warning step more than three times.
Further, in said method, also comprise the step that the track of said people's face information is retrieved.
According to another side of the present invention, a kind of early warning information delivery system is provided, comprising:
The secondary judge module; Be used for certain visitor the same day people's face cluster storehouse the first face information compare with second people's face information in 30 days people's face cluster storehouses; When the similarity of the first face information of this visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, and best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary library module;
The secondary library module is used to store people's face information of the best of visitor;
Three judge modules; Be used for obtaining third party's face information of each visitor through video camera; And everyone the face information in said third party's face information and the secondary library module compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary library module during greater than second predetermined threshold value; Then be judged as same visitor; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning library modules;
Three early warning library modules are used to store people's face information of the best of visitor;
The blacklist module, the people's face information that is used for needs are added blacklist deposits blacklist early warning library module in;
Blacklist early warning library module, the people's face information that is used to store blacklist;
The early warning module; Be used for obtaining each visitor's four-player face information through video camera; And with said four-player face information respectively with three early warning library modules and blacklist early warning library module in everyone face information compare; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning library modules during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning library module during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out the blacklist early warning.
Further, in said system, comprise that also one confirms module, be used for before early warning or the blacklist early warning said information being carried out manual work affirmation more than three times said.
Further; In said system, the said information that said early warning module generates comprises early warning classification, pre-warning time, early warning position, triggers the four-player face information of early warning, the people's face information in the blacklist early warning library module corresponding with the four-player face information of said triggering early warning, with three times corresponding early warning library modules of the four-player face information of said triggering early warning in people's face information.
Further, in said system, said early warning module is carried out the early warning information that early warning more than three times or blacklist early warning issued and is comprised early warning classification, people's face information, pre-warning time and early warning position.
Further, in said system, the early warning information of said early warning module issue sends to office terminal or portable terminal through network with the forms of broadcasting.
Further, in said system, also comprise the track generation module, be used to generate track by people's face information of the visitor of early warning more than three times or blacklist early warning.
Further, in said system, also comprise the trajectory retrieval module, be used for the track of said people's face information is retrieved.
Compared with prior art; Among the present invention when the similarity of the first face information of certain visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, and best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary storehouse; Obtain third party's face information of each visitor then through video camera; And everyone the face information in said third party's face information and the secondary storehouse compared, when the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary storehouse during, then be judged as same visitor greater than second predetermined threshold value; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning storehouses, in addition; The people's face information that needs is added blacklist deposits in the blacklist early warning storehouse; And obtain each visitor's four-player face information through video camera, and with said four-player face information respectively with three early warning storehouses and blacklist early warning storehouse in everyone face information compare, when the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning storehouses during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning storehouse during greater than the 3rd predetermined threshold value; Then be judged as same visitor; Generate information and carry out the blacklist early warning, thereby improve the security in open visit place, utilize early warning information fully; And be distributed to the security work personnel timely; The help staff locatees potential suspicious figure's position, and it is carried out follow-up investigations, and the personnel that attempt is committed a crime realize active protection.
Description of drawings
Fig. 1 is the process flow diagram of the early warning information dissemination method of one embodiment of the invention;
Fig. 2 is the portable terminal synoptic diagram of the reception early warning information of one embodiment of the invention;
Fig. 3 is the high-level schematic functional block diagram of the early warning information delivery system of one embodiment of the invention.
Embodiment
For make above-mentioned purpose of the present invention, feature and advantage can be more obviously understandable, below in conjunction with accompanying drawing and embodiment the present invention done further detailed explanation.
Fig. 1 is the process flow diagram of the early warning information dissemination method of one embodiment of the invention, and Fig. 2 is the portable terminal synoptic diagram of the reception early warning information of one embodiment of the invention.
As shown in Figure 1, the present invention provides a kind of early warning information dissemination method, comprising:
Step S1; When the similarity of the first face information of certain visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor, this visitor's the first face pictorial information and second people's information are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation; Best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary storehouse; Concrete, for the understanding in secondary storehouse, the secondary storehouse mainly be through the same day people's face cluster storehouse carry out similarity with 30 days people's face cluster storehouses and compare; If the result who judges is a people; Then the same day people from storehouse face information and 30 days people's face information join the secondary storehouse, this step purpose is to search to appear at the visitor the recent second time, people's face information of said the best is facial image the most positive the most clear corresponding people's face information in the first face information or the second people's information;
Step S2; Obtain third party's face information of each visitor through video camera, and everyone the face information in said third party's face information and the secondary storehouse is compared, when the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary storehouse during greater than second predetermined threshold value; Then be judged as same visitor; People's face information in this visitor's third party's face information and the secondary storehouse is carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best people's face information in people's face information in third party's face information after estimating or secondary storehouse is deposited in three early warning storehouses; Concrete; In this step, obtain third party's face information of each visitor, third party's face information of each visitor is got the mean eigenvalue of people's face information and compare with everyone the face information in the secondary storehouse of having kept in advance through digital camera; If obtain in people's face information and the secondary storehouse of image people's face information comparison similarity greater than certain threshold value; Then judge this person for the third time, for three next personnel, the public place should compare sensitivity, concern; In three early warning storehouses of people's face information adding with this person; If similarity less than certain threshold value, is then disregarded, facial image the most positive the most clear corresponding people's face information in people's face information that people's face information of said the best is third party's face information or secondary storehouse;
Step S3, the people's face information that needs is added blacklist deposits in the blacklist early warning storehouse;
Step S4; Obtain each visitor's four-player face information through video camera; And with said four-player face information respectively with three early warning storehouses in everyone face information compare; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning storehouses during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and also carry out early warning more than three times, the purpose of this step is intended to the 4th time or the visitor that occurs more than four times are carried out early warning;
Step S5; Everyone face information in said four-player face information and the blacklist early warning storehouse is compared; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning storehouse during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and carry out the blacklist early warning;
Step S6 generates by the track of people's face information of the visitor of early warning more than three times or blacklist early warning, and concrete, managerial personnel can also trigger joint-action mechanism, carry out automatically being retrieved by early warning people's track, search current by the position of early warning people process;
Step S7 retrieves the track of said people's face information, and is concrete; Managerial personnel can be simultaneously carry out video frequency searching to the track of stopping people face information; Search by early warning people's information, perform information trace work, in case find the behavior of influential public safety; The mobile device terminal that gives out information, notice on-the-spot this locational staff stop.
Further, among step S4 and the step S5, said carry out also comprising before early warning more than three times or the blacklist early warning said information is carried out the artificial step of confirming; Said information comprise to by early warning people early warning classification (blacklist or three early warning), pre-warning time, early warning position, trigger the four-player face information of early warning, in the blacklist early warning storehouse corresponding with the four-player face information of said triggering early warning people's face information, with three times corresponding early warning storehouses of the four-player face information of said triggering early warning in people's face information; The seat in the plane that also can comprise the video camera place; People's face information when the people's face information in three early warning storehouses corresponding with the four-player face information of said triggering early warning comprises by the visitor's of early warning preceding visit for twice is so that be that managerial personnel check; The said early warning information that early warning or blacklist early warning are issued more than three times comprises people's face information, pre-warning time and early warning position; Said early warning information sends to office terminal or portable terminal through network with the forms of broadcasting, and is concrete, and the portable terminal that receives early warning information is as shown in Figure 2.In more detail; Said information is after the operating personnel of workstation confirm success; Workstation PC will issue early warning information through ICP/IP protocol and with the forms of broadcasting and private network mode through latticed form, and the early warning information reciever can be the wireless handheld PDA of office terminal and each post configuration of front end; Early warning information can comprise by early warning people early warning classification (blacklist or three early warning), by the seat in the plane of early warning people's facial image, half body image, early warning video camera, the location drawing that the suspect once occurred in the place; Early warning information can send to mobile device terminal (like the 3G smart mobile phone etc.) through WLAN, and the early warning information that the security personnel can show through mobile device terminal such as PDA is on mobile device, receiving by early warning people's information; The staff can carry out on-the-spot early warning according to this early warning information and confirm; Enhance your vigilance, for through this position by the early warning people, get well the supervisory realization of this compass of competency scope the suspect followed the tracks of timely and handles; Improve the security of visiting in the place, utilized the function of the successful realization active protection of the way of early warning.
Fig. 3 is the high-level schematic functional block diagram of the early warning information delivery system of one embodiment of the invention.
As shown in Figure 3; The present invention also provides another kind of early warning information delivery system, comprising: secondary judge module 1, secondary library module 2, three judge modules 3, three early warning library modules 4, blacklist module 5, blacklist early warning library module 6, early warning modules 7, confirm module 8, track generation module 9 and trajectory retrieval module 10.
Secondary judge module 1 be used for certain visitor the same day people's face cluster storehouse the first face information compare with second people's face information in 30 days people's face cluster storehouses; When the similarity of the first face information of this visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation; Best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary library module 2, and this module purpose is to search to appear at the visitor the recent second time.
Secondary library module 2 is used to store people's face information of the best of visitor, and people's face information of said the best is facial image the most positive the most clear corresponding people's face information in the first face information or the second people's information.
Three judge modules 3 are used for obtaining through video camera third party's face information of each visitor; And everyone the face information in said third party's face information and the secondary library module 2 compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary library module 2 during greater than second predetermined threshold value; Then be judged as same visitor; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning library modules 4.
Three early warning library modules 4 are used to store people's face information of the best of visitor, and people's face information of said the best is facial image the most positive the most clear corresponding people's face information in the people's face information in third party's face information or the secondary library module.
People's face information that blacklist module 5 is used for needs are added blacklist deposits blacklist early warning library module 6 in.
Blacklist early warning library module 6 is used to store people's face information of blacklist.
Early warning module 7 is used for obtaining through video camera each visitor's four-player face information; And said four-player face information compared with three early warning library modules 4 and everyone the face information in the blacklist early warning library module 5 respectively; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning library modules 4 during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning library module 5 during greater than the 3rd predetermined threshold value; Then be judged as same visitor; Generate information and carry out the blacklist early warning; It is concrete that the purpose of this module is intended to that the 4th time or the visitor that occurs more than four times are carried out early warning; The said information that said early warning module 7 generates comprises early warning classification, pre-warning time, early warning position, triggers the four-player face information of early warning, the people's face information in the blacklist early warning library module 5 corresponding with the four-player face information of said triggering early warning, with three times corresponding early warning library modules 4 of the four-player face information of said triggering early warning in people's face information; The early warning information that said early warning module 7 is carried out early warning more than three times or blacklist early warning issue comprises early warning classification, people's face information, pre-warning time and early warning position; The early warning information of said early warning module 7 issues sends to office terminal or portable terminal through network with the forms of broadcasting, and the staff can carry out on-the-spot early warning according to this early warning information and confirm, enhances your vigilance; For through this position by the early warning people; Get well the supervisory realization of this compass of competency scope the suspect is followed the tracks of timely and handles, improved the security of visiting in the place, utilize the function of the successful realization active protection of the way of early warning.
Confirm that module 8 is used for before early warning or the blacklist early warning said information being carried out manual work affirmation said more than three times.
Track generation module 9 is used to generate the track by people's face information of the visitor of early warning more than three times or blacklist early warning; Concrete; Managerial personnel can also trigger joint-action mechanism, carry out automatically being retrieved by early warning people's track, search current by the position of early warning people process.
Trajectory retrieval module 10 is used for the track of said people's face information is retrieved; Concrete, managerial personnel can be simultaneously carry out video frequency searching to the track of stopping people face information, search by early warning people's information; Perform information trace work; In case find the behavior of influential public safety, the mobile device terminal that gives out information, notice on-the-spot this locational staff stop.
In sum, when the similarity of the first face information of certain visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during, then be judged as same visitor among the present invention greater than first predetermined threshold value; The first face pictorial information and second people's information to this visitor are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary storehouse, obtain third party's face information of each visitor then through video camera; And everyone the face information in said third party's face information and the secondary storehouse compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary storehouse during greater than second predetermined threshold value, then be judged as same visitor, this visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation; Best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning storehouses, and in addition, the people's face information that needs is added blacklist deposits in the blacklist early warning storehouse; And the four-player face information that obtains each visitor through video camera; And with said four-player face information respectively with three early warning storehouses and blacklist early warning storehouse in everyone face information compare, when the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning storehouses during, then be judged as same visitor greater than the 3rd predetermined threshold value; Generate information and carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning storehouse during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out the blacklist early warning; Thereby improve the security in open visit place; Utilize early warning information fully, and be distributed to the security work personnel timely, help the staff to locate potential suspicious figure's position; And it is carried out follow-up investigations, the personnel that attempt is committed a crime realize active protection.
Each embodiment adopts the mode of going forward one by one to describe in this instructions, and what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For the disclosed system of embodiment, because corresponding with the embodiment disclosed method, so description is fairly simple, relevant part is partly explained referring to method and is got final product.
The professional can also further recognize; The unit and the algorithm steps of each example of describing in conjunction with embodiment disclosed herein; Can realize with electronic hardware, computer software or the combination of the two; For the interchangeability of hardware and software clearly is described, the composition and the step of each example described prevailingly according to function in above-mentioned explanation.These functions still are that software mode is carried out with hardware actually, depend on the application-specific and the design constraint of technical scheme.The professional and technical personnel can use distinct methods to realize described function to each certain applications, but this realization should not thought and exceeds scope of the present invention.
Obviously, those skilled in the art can carry out various changes and modification to invention and not break away from the spirit and scope of the present invention.Like this, if of the present invention these revise and modification belongs within the scope of claim of the present invention and equivalent technologies thereof, then the present invention also is intended to comprise these change and modification.
Claims (14)
1. an early warning information dissemination method is characterized in that, comprising:
When the similarity of the first face information of certain visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation; Comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary storehouse;
Obtain third party's face information of each visitor through video camera; And everyone the face information in said third party's face information and the secondary storehouse compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary storehouse during greater than second predetermined threshold value; Then be judged as same visitor; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning storehouses;
The people's face information that needs is added blacklist deposits in the blacklist early warning storehouse;
Obtain each visitor's four-player face information through video camera; And with said four-player face information respectively with three early warning storehouses and blacklist early warning storehouse in everyone face information compare; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning storehouses during greater than the 3rd predetermined threshold value; Then be judged as same visitor, generate information and carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning storehouse during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out the blacklist early warning.
2. early warning information dissemination method as claimed in claim 1 is characterized in that, said carry out also comprising before early warning more than three times or the blacklist early warning said information is carried out the artificial step of confirming.
3. early warning information dissemination method as claimed in claim 1; It is characterized in that, said information comprises early warning classification, pre-warning time, early warning position, triggers the four-player face information of early warning, the people's face information in the blacklist early warning storehouse corresponding with the four-player face information of said triggering early warning, with three times corresponding early warning storehouses of the four-player face information of said triggering early warning in people's face information.
4. early warning information dissemination method as claimed in claim 1 is characterized in that, the said early warning information that early warning or blacklist early warning are issued more than three times comprises early warning classification, people's face information, pre-warning time and early warning position.
5. early warning information dissemination method as claimed in claim 4 is characterized in that said early warning information sends to office terminal or portable terminal through network with the forms of broadcasting.
6. early warning information dissemination method as claimed in claim 1 is characterized in that, saidly comprises that also generation is by the step of the track of people's face information of the visitor of early warning more than three times or blacklist early warning after early warning or the blacklist early warning step more than three times.
7. early warning information dissemination method as claimed in claim 1 is characterized in that, also comprises the step that the track of said people's face information is retrieved.
8. an early warning information delivery system is characterized in that, comprising:
The secondary judge module; Be used for certain visitor the same day people's face cluster storehouse the first face information compare with second people's face information in 30 days people's face cluster storehouses; When the similarity of the first face information of this visitor in same day people's face cluster storehouse and second people's face information in 30 days people's face cluster storehouses during greater than first predetermined threshold value; Then be judged as same visitor; The first face information and second people's information to this visitor are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, and best people's face information in the first face information after estimating or the second people's face information is deposited in the secondary library module;
The secondary library module is used to store people's face information of the best of visitor;
Three judge modules; Be used for obtaining third party's face information of each visitor through video camera; And everyone the face information in said third party's face information and the secondary library module compared; When the similarity of people's face information of certain visitor's said third party's face information and certain visitor in the secondary library module during greater than second predetermined threshold value; Then be judged as same visitor; This visitor's third party's face information and the people's face information in the secondary storehouse are carried out image quality evaluation, comprise photo sharpness and the evaluation of people's face angle in the said evaluation, best in people's face information in third party's face information after estimating or secondary storehouse people's face information is deposited in three early warning library modules;
Three early warning library modules are used to store people's face information of the best of visitor;
The blacklist module, the people's face information that is used for needs are added blacklist deposits blacklist early warning library module in;
Blacklist early warning library module, the people's face information that is used to store blacklist;
The early warning module; Be used for obtaining each visitor's four-player face information through video camera; And with said four-player face information respectively with three early warning library modules and blacklist early warning library module in everyone face information compare; When the similarity of people's face information of certain visitor in certain visitor's said four-player face information and three the early warning library modules during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out early warning more than three times; When the similarity of people's face information of certain visitor's said four-player face information and certain visitor in the blacklist early warning library module during greater than the 3rd predetermined threshold value, then be judged as same visitor, generate information and also carry out the blacklist early warning.
9. like the said early warning information delivery system of claim 8, it is characterized in that, comprise that also one confirms module, be used for before early warning or the blacklist early warning said information being carried out manual work affirmation more than three times said.
10. like the said early warning information delivery system of claim 8; It is characterized in that, the said information that said early warning module generates comprises early warning classification, pre-warning time, early warning position, triggers the four-player face information of early warning, the people's face information in the blacklist early warning library module corresponding with the four-player face information of said triggering early warning, with three times corresponding early warning library modules of the four-player face information of said triggering early warning in people's face information.
11., it is characterized in that said early warning module is carried out the early warning information that early warning more than three times or blacklist early warning issued and comprised early warning classification, people's face information, pre-warning time and early warning position like the said early warning information delivery system of claim 8.
12., it is characterized in that the early warning information of said early warning module issue sends to office terminal or portable terminal through network with the forms of broadcasting like the said early warning information delivery system of claim 11.
13., it is characterized in that like the said early warning information delivery system of claim 11, also comprise the track generation module, be used to generate track by people's face information of the visitor of early warning more than three times or blacklist early warning.
14., it is characterized in that like the said early warning information delivery system of claim 11, also comprise the trajectory retrieval module, be used for the track of said people's face information is retrieved.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100392615A CN102646197A (en) | 2012-02-20 | 2012-02-20 | Pre-warning information issuing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012100392615A CN102646197A (en) | 2012-02-20 | 2012-02-20 | Pre-warning information issuing method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102646197A true CN102646197A (en) | 2012-08-22 |
Family
ID=46659013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012100392615A Pending CN102646197A (en) | 2012-02-20 | 2012-02-20 | Pre-warning information issuing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102646197A (en) |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799877A (en) * | 2012-09-11 | 2012-11-28 | 上海中原电子技术工程有限公司 | Method and system for screening face images |
| CN106104646A (en) * | 2014-03-19 | 2016-11-09 | 株式会社技术未来 | Numeral anti-lost safety-protection system, methods and procedures |
| CN106254494A (en) * | 2016-08-17 | 2016-12-21 | 浙江诚名智能工程有限公司 | Artificial abortion's monitoring system |
| CN107622465A (en) * | 2016-07-15 | 2018-01-23 | 中国电信股份有限公司 | For identifying the method and system of suspect |
| CN107784769A (en) * | 2016-08-26 | 2018-03-09 | 杭州海康威视系统技术有限公司 | A kind of alarm method, apparatus and system |
| CN107871344A (en) * | 2017-09-13 | 2018-04-03 | 浙江电力建设监理有限公司 | Anti- generation for intelligent monitoring management beats Work attendance method |
| CN108446681A (en) * | 2018-05-10 | 2018-08-24 | 深圳云天励飞技术有限公司 | Pedestrian's analysis method, device, terminal and storage medium |
| CN108809937A (en) * | 2018-04-20 | 2018-11-13 | 广州天电科技有限公司 | A kind of managing and control system and method |
| CN109872482A (en) * | 2019-01-21 | 2019-06-11 | 广东鑫诺安保安服务有限公司 | Wisdom security protection monitoring and managing method, system and storage medium |
| CN111507232A (en) * | 2020-04-10 | 2020-08-07 | 三一重工股份有限公司 | Multi-mode multi-strategy fused stranger identification method and system |
| CN111932113A (en) * | 2020-08-10 | 2020-11-13 | 深圳博沃智慧科技有限公司 | Environment supervision and management method, platform and storage medium |
| CN112434074A (en) * | 2020-10-20 | 2021-03-02 | 中国环境科学研究院 | Natural conservation place human activity supervision system based on mobile phone positioning information |
| CN114245055A (en) * | 2021-12-08 | 2022-03-25 | 深圳位置网科技有限公司 | Method and system for video call under emergency call condition |
| CN114245055B (en) * | 2021-12-08 | 2024-04-26 | 深圳位置网科技有限公司 | Method and system for video call under emergency call condition |
-
2012
- 2012-02-20 CN CN2012100392615A patent/CN102646197A/en active Pending
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102799877A (en) * | 2012-09-11 | 2012-11-28 | 上海中原电子技术工程有限公司 | Method and system for screening face images |
| CN106104646A (en) * | 2014-03-19 | 2016-11-09 | 株式会社技术未来 | Numeral anti-lost safety-protection system, methods and procedures |
| CN107622465A (en) * | 2016-07-15 | 2018-01-23 | 中国电信股份有限公司 | For identifying the method and system of suspect |
| CN106254494A (en) * | 2016-08-17 | 2016-12-21 | 浙江诚名智能工程有限公司 | Artificial abortion's monitoring system |
| CN107784769B (en) * | 2016-08-26 | 2020-07-31 | 杭州海康威视系统技术有限公司 | Alarm method, device and system |
| CN107784769A (en) * | 2016-08-26 | 2018-03-09 | 杭州海康威视系统技术有限公司 | A kind of alarm method, apparatus and system |
| CN107871344A (en) * | 2017-09-13 | 2018-04-03 | 浙江电力建设监理有限公司 | Anti- generation for intelligent monitoring management beats Work attendance method |
| CN107871344B (en) * | 2017-09-13 | 2020-07-07 | 浙江电力建设监理有限公司 | Anti-substitute-printing attendance checking method for intelligent monitoring management |
| CN108809937A (en) * | 2018-04-20 | 2018-11-13 | 广州天电科技有限公司 | A kind of managing and control system and method |
| CN108809937B (en) * | 2018-04-20 | 2021-02-09 | 广州天电科技有限公司 | Management and control system and method |
| CN108446681B (en) * | 2018-05-10 | 2020-12-15 | 深圳云天励飞技术有限公司 | Pedestrian analysis method, device, terminal and storage medium |
| CN108446681A (en) * | 2018-05-10 | 2018-08-24 | 深圳云天励飞技术有限公司 | Pedestrian's analysis method, device, terminal and storage medium |
| CN109872482A (en) * | 2019-01-21 | 2019-06-11 | 广东鑫诺安保安服务有限公司 | Wisdom security protection monitoring and managing method, system and storage medium |
| CN111507232A (en) * | 2020-04-10 | 2020-08-07 | 三一重工股份有限公司 | Multi-mode multi-strategy fused stranger identification method and system |
| CN111932113A (en) * | 2020-08-10 | 2020-11-13 | 深圳博沃智慧科技有限公司 | Environment supervision and management method, platform and storage medium |
| CN111932113B (en) * | 2020-08-10 | 2023-12-05 | 深圳博沃智慧科技有限公司 | Environment supervision and management method, platform and storage medium |
| CN112434074A (en) * | 2020-10-20 | 2021-03-02 | 中国环境科学研究院 | Natural conservation place human activity supervision system based on mobile phone positioning information |
| CN112434074B (en) * | 2020-10-20 | 2024-02-23 | 中国环境科学研究院 | Natural protections field human activity supervision system based on mobile phone positioning information |
| CN114245055A (en) * | 2021-12-08 | 2022-03-25 | 深圳位置网科技有限公司 | Method and system for video call under emergency call condition |
| CN114245055B (en) * | 2021-12-08 | 2024-04-26 | 深圳位置网科技有限公司 | Method and system for video call under emergency call condition |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102646197A (en) | Pre-warning information issuing method and system | |
| US11929870B2 (en) | Correlation engine for correlating sensory events | |
| US8013738B2 (en) | Hierarchical storage manager (HSM) for intelligent storage of large volumes of data | |
| CN103268680B (en) | A kind of family intelligent monitoring burglary-resisting system | |
| US20090002157A1 (en) | Audio analysis, storage, and alerting system for safety, security, and business productivity | |
| CN110245630A (en) | Monitoring data processing method, device and readable storage medium storing program for executing | |
| US20170223314A1 (en) | Limited Access Community Surveillance System | |
| US20070257985A1 (en) | Video Surveillance Correlating Detected Moving Objects and RF Signals | |
| JPWO2020152851A1 (en) | Digital search security systems, methods and programs | |
| CN103514694A (en) | Intrusion detection monitoring system | |
| CA2716705A1 (en) | Broker mediated video analytics method and system | |
| EP2779640A1 (en) | Security system for tracking and surveilling an object determined as unrecognizable using a surveillance camera and method for providing security service using the system | |
| CN102622580A (en) | Face detection and recognition method and system | |
| CN204375138U (en) | Based on the intelligent early-warning system of people's current density recognition technology | |
| Davies et al. | A progress review of intelligent CCTV surveillance systems | |
| CN106339973A (en) | Guard security system based on data platform and and guard security method thereof | |
| CN102622579B (en) | Face early warning method and system | |
| CN108289192A (en) | Police Video Supervision System with smart mobile phone alarm | |
| US11875657B2 (en) | Proactive loss prevention system | |
| US20110292214A1 (en) | Virtual guard gate for a gated community and method therefor | |
| Yoon et al. | Tracking System for mobile user Based on CCTV | |
| Park et al. | Multi-log analysis platform for supporting public safety service | |
| TWI819450B (en) | Monitoring systems | |
| Rayte et al. | Crime monitoring and controlling system by mobile device | |
| Brax et al. | An ensemble approach for increased anomaly detection performance in video surveillance data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120822 |