CN109671241A - Alarm method and system - Google Patents
Alarm method and system Download PDFInfo
- Publication number
- CN109671241A CN109671241A CN201710956805.7A CN201710956805A CN109671241A CN 109671241 A CN109671241 A CN 109671241A CN 201710956805 A CN201710956805 A CN 201710956805A CN 109671241 A CN109671241 A CN 109671241A
- Authority
- CN
- China
- Prior art keywords
- picture
- pedestrian
- timestamp
- original
- library
- 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
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Image Processing (AREA)
Abstract
Present disclose provides a kind of alarm method and systems, are related to monitoring technology field, comprising: receive the pedestrian's picture taken and shoot the timestamp of pedestrian's picture；Have in picture library compare interval between successful original picture and the timestamp and the timestamp of the original picture with pedestrian's picture and be greater than threshold value in the case where, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library by the timestamp for deleting the original picture and the original picture；The label number of pedestrian's picture is labeled as N+1, N is the label number of the original picture；It alarms in the case where the label number of pedestrian's picture is greater than preset times.The disclosure can identify mobile street pedlar in time and alarm.
Description
Technical field
This disclosure relates to monitoring technology field, especially a kind of alarm method and system.
Background technique
Currently, common recognition of face intellectual analysis needs to pre-establish blacklist face database, the face figure that will be captured
Picture in piece and blacklist face database carries out face alignment, and face alignment successfully can trigger alarm.
However, for the management of mobile street pedlar, since mobile street pedlar's quantity is more, and NO Fixed Time, without fixed location, nothing
Method establishes blacklist face database for each mobile street pedlar.
Therefore, it is necessary to propose a kind of technical solution, mobile street pedlar can be identified in time.
Summary of the invention
One purpose of the disclosure is: providing a kind of alarm method and system for mobile street pedlar.
According to the one side of the disclosure, a kind of alarm method is provided, comprising: receive the pedestrian's picture taken and shooting institute
State the timestamp of pedestrian's picture；Have in picture library with pedestrian's picture compare successful original picture and the timestamp with
In the case that interval between the timestamp of the original picture is greater than threshold value, the time of the original picture and the original picture is deleted
Stamp, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library；By the label of pedestrian's picture
Number label is that N is the label number of the original picture；It is greater than the feelings of preset times in the label number of pedestrian's picture
It alarms under condition.
In one embodiment, in the case where with pedestrian's picture not comparing successful original picture in picture library,
The timestamp of pedestrian's picture and pedestrian's picture is stored in picture library, and by the label number of pedestrian's picture
Labeled as 1.
In one embodiment, in the case where the interval is no more than threshold value, pedestrian's picture is abandoned.
In one embodiment, the method also includes: will be saved in same day picture library in daily setting time point
The label number of pedestrian's picture is reset.
In one embodiment, pedestrian's picture includes face picture.
According to another aspect of the present disclosure, a kind of alarm system is provided, comprising: receiving unit takes for receiving
Pedestrian's picture and the timestamp for shooting pedestrian's picture；Processing unit, for having in picture library and pedestrian's picture ratio
In the case where being greater than threshold value to the interval between successful original picture and the timestamp and the timestamp of the original picture, delete
Except the timestamp of the original picture and the original picture, the timestamp of pedestrian's picture and pedestrian's picture is stored in figure
In valut；Marking unit, for the label number of pedestrian's picture to be labeled as N+1, wherein N is the mark of the original picture
Remember number；Alarm unit, for alarming in the case where the label number of pedestrian's picture is greater than preset times.
In one embodiment, the processing unit is also used in picture library not compare success with pedestrian's picture
Original picture in the case where, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library；The label
Unit is also used to the label number of pedestrian's picture labeled as 1.
In one embodiment, the system also includes discarding units, for the case where the interval is no more than threshold value
Under, abandon pedestrian's picture.
In one embodiment, the system also includes resetting units, for will scheme on the same day in daily setting time point
The label number of the pedestrian's picture saved in valut is reset.
According to the another aspect of the application, a kind of alarm system is provided, comprising: memory；And it is coupled to the storage
The processor of device, the processor is configured to based on any one above-mentioned embodiment of the instruction execution for being stored in the memory
The method.
According to the application's in another aspect, providing a kind of computer readable storage medium, it is stored thereon with computer program
Method described in any one above-mentioned embodiment is realized in instruction, the instruction when being executed by processor.
In the embodiment of the present disclosure, has in picture library and compare successful original picture and pedestrian's picture with pedestrian's picture
In the case that interval between timestamp and the timestamp of original picture is greater than threshold value, the timestamp of original picture and original picture is deleted,
The timestamp of pedestrian's picture and pedestrian's picture is stored in picture library.To big in the label number of pedestrian's picture
It can determine that the corresponding pedestrian of pedestrian's picture is mobile street pedlar in the case where preset times, and then alarm, be convenient for law-executor
Execute work.
Below by drawings and examples, the technical solution of the disclosure is described in further detail.
Detailed description of the invention
In order to illustrate more clearly of the embodiment of the present disclosure or technical solution in the prior art, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Disclosed some embodiments for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow diagram according to the alarm method of an embodiment of the present disclosure；
Fig. 2 is the flow diagram according to the alarm method of the disclosure another embodiment；
Fig. 3 is the structural schematic diagram according to the alarm system of an embodiment of the present disclosure；
Fig. 4 is the structural schematic diagram according to the alarm system of the disclosure another embodiment；
Fig. 5 is the structural schematic diagram according to the alarm system of the disclosure another embodiment.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present disclosure, the technical solution in the embodiment of the present disclosure is carried out clear, complete
Site preparation description, it is clear that described embodiment is only disclosure a part of the embodiment, instead of all the embodiments.It is based on
Embodiment in the disclosure, those of ordinary skill in the art without creative labor it is obtained it is all its
His embodiment belongs to the range of disclosure protection.
Unless specifically stated otherwise, positioned opposite, the digital table of the component and step that otherwise illustrate in these embodiments
Up to the unlimited the scope of the present disclosure processed of formula and numerical value.
Simultaneously, it should be appreciated that for ease of description, the size of various pieces shown in attached drawing is not according to reality
Proportionate relationship draw.
Technology, method and apparatus known to person of ordinary skill in the relevant may be not discussed in detail, but suitable
In the case of, the technology, method and apparatus should be considered as authorizing part of specification.
It is shown here and discuss all examples in, any occurrence should be construed as merely illustratively, without
It is as limitation.Therefore, the other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, then in subsequent attached drawing does not need that it is further discussed.
Fig. 1 is the flow diagram according to the alarm method of an embodiment of the present disclosure.Alarm method can for example pass through
The alarm system introduced hereinafter executes.
In step 102, receives the pedestrian's picture taken and shoot the timestamp of pedestrian's picture.
For example, enter the picture of the pedestrian in monitoring range by video capture, the pedestrian's picture that then will be taken
It is sent to alarm system in real time with the timestamp for shooting pedestrian's picture.In one embodiment, pedestrian's picture for example can be
Face picture.
In step 104, there is the time that successful original picture and pedestrian's picture are compared with pedestrian's picture in picture library
In the case that interval between stamp and the timestamp of original picture is greater than threshold value, the timestamp of original picture and original picture is deleted, by this
The timestamp of pedestrian's picture and pedestrian's picture is stored in picture library.Here, threshold value can be set according to the actual situation.
Usually, if administrative staff warn, mobile street pedlar may leave camera head monitor range, but when crossing one section
Between after be returned within the scope of camera head monitor.Therefore, if the corresponding pedestrian of pedestrian's picture is within bigger a period of time
(that is, above-mentioned interval is greater than threshold value), which is repeated, to be taken, then the pedestrian is likely to be mobile street pedlar.
In one embodiment, in order to reduce warning error rate, have in picture library and compared successfully with pedestrian's picture
It interval between the timestamp of the timestamp and original picture of original picture and pedestrian's picture, can be with no more than in the case where threshold value
Abandon pedestrian's picture.In this case, if repeating to take the same pedestrian within smaller a period of time, it is contemplated that
It may be that the pedestrian does not leave, therefore abandons pedestrian's picture.
In addition, in the case where with pedestrian's picture not comparing successful original picture in picture library, can this by pedestrian
The timestamp of picture and pedestrian's picture is stored in picture library, and the label number of pedestrian's picture is labeled as 1.
In step 106, the label number of pedestrian's picture is labeled as N+1, wherein N is the label number of original picture.
It in step 108, alarms in the case where the label number of pedestrian's picture is greater than preset times, such as sound-light alarm
Deng, so as to law-executor etc. can go in time relatively point carry out the processing such as warning.
In the present embodiment, there is the time that successful original picture and pedestrian's picture are compared with pedestrian's picture in picture library
In the case that interval between stamp and the timestamp of original picture is greater than threshold value, the timestamp of original picture and original picture is deleted, by this
The timestamp of pedestrian's picture and pedestrian's picture is stored in picture library.To be greater than in the label number of pedestrian's picture pre-
If can determine that the corresponding pedestrian of pedestrian's picture is mobile street pedlar in the case where number, and then alarm, is executed convenient for law-executor
Work.
In view of some pedestrians may go to work near camera head monitor range, therefore camera may be frequently appeared in
In monitoring range.Therefore, in order to reduce warning error rate, in one embodiment, can daily setting time point (such as
Daily 24 points) the label number of the pedestrian's picture saved in same day picture library is reset, it is considered as shifting to avoid by non-moving street pedlar
Dynamic street pedlar.
Fig. 2 is the flow diagram according to the alarm method of the disclosure another embodiment.
In step 202, the monitoring devices such as video camera acquire the face picture in monitoring range；
In step 204, face picture is compared with the former face picture in picture library；If comparing successfully, execute
Step 206；If comparing failure, 208 are thened follow the steps；
In step 206, judge to compare whether the interval between the timestamp of successful two face pictures is greater than threshold value；If
It is to then follow the steps 210；If it is not, thening follow the steps 216；
In step 208, face picture and its timestamp are saved in picture library, and the label number of face picture is marked
It is 1；
In steps 210, former face picture and its timestamp are deleted, face picture and its timestamp are saved in picture library,
And the label number that the label number of face picture is labeled as former face picture is added one；
In step 212, judge that the label number of face picture marks whether to be greater than preset times；If so, thening follow the steps
214；
In step 214, alarm；
In step 216, face picture is abandoned, that is, do not save face picture and its timestamp.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with its
The difference of its embodiment, the same or similar part cross-reference between each embodiment.For system embodiment
For, since it is substantially corresponding with embodiment of the method, so being described relatively simple, referring to the portion of embodiment of the method in place of correlation
It defends oneself bright.
Fig. 3 is the structural schematic diagram according to the alarm system of an embodiment of the present disclosure.As shown in figure 3, alarm system packet
Include receiving unit 301, processing unit 302, marking unit 303 and alarm unit 304.Receiving unit 301 takes for receiving
Pedestrian's picture (such as face picture) and shoot pedestrian's picture timestamp.Processing unit 302 for have in picture library with
Pedestrian's picture compares successful original picture and in the case that interval between timestamp and the timestamp of original picture is greater than threshold value,
The timestamp for deleting original picture and original picture, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library.Label is single
Member 303 is for being labeled as N+1 for the label number of pedestrian's picture, wherein N is the label number of original picture.Alarm unit 304 is used
It alarms in the case where the label number of pedestrian's picture is greater than preset times.
In one embodiment, processing unit 302 is also used in picture library not compare successful original with pedestrian's picture
In the case where picture, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library；Marking unit 303 is also used to go
The label number of people's picture is labeled as 1.
In one embodiment, alarm system can also include at least one of discarding unit and resetting unit.It abandons
Unit is used to abandon pedestrian's picture in the case where interval is no more than threshold value.Resetting unit is used in daily setting time point
The label number of the pedestrian's picture saved in same day picture library is reset.
Fig. 4 is the structural schematic diagram according to the alarm system of the disclosure another embodiment.As shown in figure 4, the system packet
Include memory 401 and processor 402.Memory 401 can be disk, flash memory or other any non-volatile memory mediums.It deposits
Reservoir is used to store the corresponding instruction of method of any one aforementioned embodiment.Processor 402 is coupled to memory 401, can be with
It is implemented as one or more integrated circuits, such as microprocessor or microcontroller.Processor 402 is for executing memory 401
The instruction of middle storage can effectively identify mobile street pedlar and alarm.
Fig. 5 is the structural schematic diagram according to the alarm system of the disclosure another embodiment.As shown in figure 5, the system 500
Including memory 501 and processor 502.Processor 502 is coupled to memory 501 by bus (BUS) 503.The system 500 is also
External memory 505 can be connected to by memory interface 504 to call external data, network interface can also be passed through
506 are connected to network or external computer system (not shown).
It in the present embodiment, is instructed by memory stores data, then above-metioned instruction is handled by processor, can effectively known
Street pedlar is not moved and is alarmed.
The disclosure additionally provides a kind of computer readable storage medium, is stored thereon with computer program instructions, the instruction
The step of method of any one aforementioned embodiment is realized when being executed by processor.It should be understood by those skilled in the art that, this
Disclosed embodiment can provide as method, apparatus or computer program product.Therefore, complete hardware implementation can be used in the disclosure
The form of example, complete software embodiment or embodiment combining software and hardware aspects.Moreover, the disclosure can be used at one
Or multiple wherein includes that the computer of computer usable program code can use non-transient storage medium (including but not limited to magnetic
Disk storage, CD-ROM, optical memory etc.) on the form of computer program product implemented.
Alarm method/alarm system that each embodiment of the disclosure provides is suitable for but is not limited to the management of mobile street pedlar.
The disclosure is reference according to the method for the embodiment of the present disclosure, the flow chart of equipment (system) and computer program product
And/or block diagram describes.It should be understood that each process in flowchart and/or the block diagram can be realized by computer program instructions
And/or the combination of the process and/or box in box and flowchart and/or the block diagram.It can provide these computer programs to refer to
Enable the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to generate
One machine so that by the instruction that the processor of computer or other programmable data processing devices executes generate for realizing
The device for the function of being specified in one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
So far, the disclosure is described in detail.In order to avoid covering the design of the disclosure, it is public that this field institute is not described
The some details known.Those skilled in the art as described above, completely it can be appreciated how implementing technology disclosed herein
Scheme.
Disclosed method and device may be achieved in many ways.For example, can by software, hardware, firmware or
Person's software, hardware, firmware any combination realize disclosed method and device.The step of for the method it is above-mentioned
Sequence is merely to be illustrated, and the step of disclosed method is not limited to sequence described in detail above, unless with other sides
Formula illustrates.In addition, in some embodiments, the disclosure can be also embodied as recording program in the recording medium, these
Program includes for realizing according to the machine readable instructions of disclosed method.Thus, the disclosure also covers storage for executing
According to the recording medium of the program of disclosed method.
Although being described in detail by some specific embodiments of the example to the disclosure, the skill of this field
Art personnel it should be understood that above example merely to be illustrated, rather than in order to limit the scope of the present disclosure.The skill of this field
Art personnel are it should be understood that can modify to above embodiments in the case where not departing from the scope of the present disclosure and spirit.This public affairs
The range opened is defined by the following claims.
Claims (10)
1. a kind of alarm method, comprising:
It receives the pedestrian's picture taken and shoots the timestamp of pedestrian's picture；
There is the time that successful original picture and the timestamp and the original picture are compared with pedestrian's picture in picture library
In the case that interval between stamp is greater than threshold value, the timestamp of the original picture and the original picture is deleted, the pedestrian is schemed
The timestamp of piece and pedestrian's picture is stored in picture library；
The label number of pedestrian's picture is labeled as N+1, wherein N is the label number of the original picture；
It alarms in the case where the label number of pedestrian's picture is greater than preset times.
2. according to the method described in claim 1, wherein,
In the case where with pedestrian's picture not comparing successful original picture in picture library, by pedestrian's picture and described
The timestamp of pedestrian's picture is stored in picture library, and the label number of pedestrian's picture is labeled as 1.
3. according to the method described in claim 1, wherein,
In the case where the interval is no more than threshold value, pedestrian's picture is abandoned.
4. according to the method described in claim 1, further include:
It is reset in the label number for pedestrian's picture that daily setting time point will save in same day picture library.
5. method according to any of claims 1-4, wherein
Pedestrian's picture includes face picture.
6. a kind of alarm system, comprising:
Receiving unit, for receiving the pedestrian's picture taken and shooting the timestamp of pedestrian's picture；
Processing unit compares successful original picture with pedestrian's picture and the timestamp and institute for having in picture library
The interval between the timestamp of original picture is stated greater than in the case where threshold value, deletes the time of the original picture and the original picture
Stamp, the timestamp of pedestrian's picture and pedestrian's picture is stored in picture library；
Marking unit, for the label number of pedestrian's picture to be labeled as N+1, wherein N is the label of the original picture
Number；
Alarm unit, for alarming in the case where the label number of pedestrian's picture is greater than preset times.
7. system according to claim 6, wherein
It, will in the case that the processing unit is also used in picture library not compare successful original picture with pedestrian's picture
The timestamp of pedestrian's picture and pedestrian's picture is stored in picture library；
The marking unit is also used to the label number of pedestrian's picture labeled as 1.
8. system according to claim 6, further includes:
Discarding unit, for abandoning pedestrian's picture in the case where the interval is no more than threshold value.
9. according to system described in claim 6-8 any one, further includes:
The label number of resetting unit, pedestrian's picture for will save in same day picture library in daily setting time point is clear
Zero.
10. a kind of alarm system, comprising:
Memory；And
It is coupled to the processor of the memory, the processor is configured to based on the instruction execution for being stored in the memory
Method as described in claim 1-5 any one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710956805.7A CN109671241A (en) | 2017-10-16 | 2017-10-16 | Alarm method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710956805.7A CN109671241A (en) | 2017-10-16 | 2017-10-16 | Alarm method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109671241A true CN109671241A (en) | 2019-04-23 |
Family
ID=66140054
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710956805.7A Pending CN109671241A (en) | 2017-10-16 | 2017-10-16 | Alarm method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109671241A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113163334A (en) * | 2021-02-19 | 2021-07-23 | 合肥海赛信息科技有限公司 | Intelligent mobile vendor detection method based on video analysis |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140620A (en) * | 2007-10-16 | 2008-03-12 | 上海博航信息科技有限公司 | Human face recognition system |
| CN104239881A (en) * | 2013-06-08 | 2014-12-24 | 杭州海康威视数字技术股份有限公司 | Method and system for automatically finding and registering target in surveillance video |
| CN105335458A (en) * | 2015-09-23 | 2016-02-17 | 努比亚技术有限公司 | Picture previewing method and apparatus |
| CN105335782A (en) * | 2014-05-26 | 2016-02-17 | 富士通株式会社 | Image-based target object counting method and apparatus |
| KR101610147B1 (en) * | 2014-10-29 | 2016-04-08 | 현대자동차 주식회사 | Apparatus and method for controlling of display for vehicle |
| US9324144B2 (en) * | 2014-07-04 | 2016-04-26 | Arc Devices Limited | Device having a digital infrared sensor and non-touch optical detection of vital signs from a temporal variation amplifier |
| CN106203333A (en) * | 2016-07-08 | 2016-12-07 | 乐视控股（北京）有限公司 | Face identification method and system |
| CN106548131A (en) * | 2016-10-14 | 2017-03-29 | 南京邮电大学 | A kind of workmen's safety helmet real-time detection method based on pedestrian detection |
-
2017
- 2017-10-16 CN CN201710956805.7A patent/CN109671241A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101140620A (en) * | 2007-10-16 | 2008-03-12 | 上海博航信息科技有限公司 | Human face recognition system |
| CN104239881A (en) * | 2013-06-08 | 2014-12-24 | 杭州海康威视数字技术股份有限公司 | Method and system for automatically finding and registering target in surveillance video |
| CN105335782A (en) * | 2014-05-26 | 2016-02-17 | 富士通株式会社 | Image-based target object counting method and apparatus |
| US9324144B2 (en) * | 2014-07-04 | 2016-04-26 | Arc Devices Limited | Device having a digital infrared sensor and non-touch optical detection of vital signs from a temporal variation amplifier |
| KR101610147B1 (en) * | 2014-10-29 | 2016-04-08 | 현대자동차 주식회사 | Apparatus and method for controlling of display for vehicle |
| CN105335458A (en) * | 2015-09-23 | 2016-02-17 | 努比亚技术有限公司 | Picture previewing method and apparatus |
| CN106203333A (en) * | 2016-07-08 | 2016-12-07 | 乐视控股（北京）有限公司 | Face identification method and system |
| CN106548131A (en) * | 2016-10-14 | 2017-03-29 | 南京邮电大学 | A kind of workmen's safety helmet real-time detection method based on pedestrian detection |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113163334A (en) * | 2021-02-19 | 2021-07-23 | 合肥海赛信息科技有限公司 | Intelligent mobile vendor detection method based on video analysis |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109117827B (en) | Video-based method for automatically identifying wearing state of work clothes and work cap and alarm system | |
| CN105654512B (en) | A kind of method for tracking target and device | |
| CN111259751B (en) | Human behavior recognition method, device, equipment and storage medium based on video | |
| WO2021017882A1 (en) | Image coordinate system conversion method and apparatus, device and storage medium | |
| WO2020093829A1 (en) | Method and device for real-time statistical analysis of pedestrian flow in open space | |
| CN104361327A (en) | Pedestrian detection method and system | |
| CN110706258B (en) | Object tracking method and device | |
| JP6323202B2 (en) | System, method and program for acquiring video | |
| JP6489170B2 (en) | Analysis device, analysis method, and program | |
| CN111160187B (en) | Method, device and system for detecting left-behind object | |
| CN107094234B (en) | Shooting area shielding method and device applied to mobile camera terminal | |
| KR20190118619A (en) | Pedestrian tracking method and electronic device | |
| CN106295598A (en) | A kind of across photographic head method for tracking target and device | |
| JP2015207105A (en) | Information processor, information processing system, information processing method and program | |
| WO2018008702A1 (en) | Behavior detection system | |
| JP2021060868A5 (en) | ||
| Saon et al. | Cloud-based people counter | |
| US10614336B2 (en) | Method, system, and computer-readable recording medium for image-based object tracking | |
| US10372989B2 (en) | Control apparatus and control method for determining relation of persons included in an image, and storage medium storing a program therefor | |
| JP6618349B2 (en) | Video search system | |
| CN109671241A (en) | Alarm method and system | |
| JP7081659B2 (en) | Information processing equipment, data generation method, and program | |
| KR20210096754A (en) | Safety management method and system using image learning model for digital Safety, Health, Environment industry specialization | |
| CN108234932B (en) | Method and device for extracting personnel form in video monitoring image | |
| Salisbury et al. | Crowdar: augmenting live video with a real-time crowd |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190423 |
|
| RJ01 | Rejection of invention patent application after publication |