CN108694388A - Campus monitoring method based on intelligent video camera head and equipment - Google Patents
Campus monitoring method based on intelligent video camera head and equipment Download PDFInfo
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- CN108694388A CN108694388A CN201810460108.7A CN201810460108A CN108694388A CN 108694388 A CN108694388 A CN 108694388A CN 201810460108 A CN201810460108 A CN 201810460108A CN 108694388 A CN108694388 A CN 108694388A
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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- 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
- G06V40/168—Feature extraction; Face representation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- Oral & Maxillofacial Surgery (AREA)
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- Computer Vision & Pattern Recognition (AREA)
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Abstract
The campus monitoring method and corresponding equipment that the present invention provides a kind of based on intelligent video camera head, method include the monitoring data obtained in presumptive area, extract the predetermined object data in the monitoring data;Classify to the predetermined object data, get several class data, calculates data proportion of the object data of all categories in the predetermined object data;It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.Campus monitoring method and equipment provided by the invention based on intelligent video camera head pass through the information identification to monitoring image data, by the event data occurred in monitoring image data and predeterminable event conditions correlation, the automatic generation for finding predeterminable event simultaneously triggers corresponding alarm, and handling corresponding event for related personnel provides the possibility realized in time.
Description
Technical field
The present invention relates to intelligent monitoring technology fields, more particularly to a kind of campus monitoring method based on intelligent video camera head
And equipment.
Background technology
Campus is the culture and education place of study education, should be quiet happy and auspicious, however violence thing occurs in campus
Part has not been news yet, safeguards that Campus Security is one and needs adhering to for a long time for task in universities an middle schools' campus administration.
In general, there are three the demands of aspect in terms of Campus Security:Personnel, property safety and the emergency processing demand of teaching environment;Come
Location-based service, attendance demand from teacher;Student's path trace, location-based service and alert service from parent etc..For religion
The monitoring of environment or even campus environment is an important measures in terms of Campus Security guarantee, though however have in the prior art each
Kind of safety monitoring technology, but often have a single function, specific aim is poor, record image that can only be simple, can not understand picture material, more
Can not corresponding reaction be made for picture material automatically, be only subsequent evidences collection and a little convenience is provided, however for
The prevention of school violence event is utterly useless.
Invention content
Based on this, it is necessary to be directed at least one problem mentioned above, provide a kind of campus based on intelligent video camera head
Monitoring method and equipment.
A kind of campus monitoring method based on intelligent video camera head includes the following steps suitable for being executed in computing device:
The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted;
Classify to the predetermined object data, gets several class data, calculate object data of all categories
Data proportion in the predetermined object data;
It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.
The present invention accordingly provides a kind of campus monitoring device based on intelligent video camera head, including:
Acquisition module extracts the predetermined object number in the monitoring data for obtaining the monitoring data in presumptive area
According to;
Computing module gets several class data, calculates each for classifying to the predetermined object data
Data proportion of the class data in the predetermined object data;
Warning module is more than preset data rate of specific gravity for determining the data proportion, generates warning information.
Meanwhile the present invention also provides a kind of campus monitoring device based on intelligent video camera head, including processor and be used for
Store the memory of processor-executable instruction;Wherein, the processor is configured as:
The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted;
Classify to the predetermined object data, gets several class data, calculate object data of all categories
Data proportion in the predetermined object data;
It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.
Campus monitoring method and equipment provided by the invention based on intelligent video camera head pass through the letter to monitoring image data
Breath identification, by the event data occurred in monitoring image data and predeterminable event conditions correlation, the automatic hair for finding predeterminable event
Corresponding alarm is given birth to and triggers, handling corresponding event for related personnel provides the possibility realized in time.
Description of the drawings
Fig. 1 is the flow chart of the campus monitoring method based on intelligent video camera head in one embodiment of the invention;
Fig. 2 is the structure diagram of the campus monitoring device based on intelligent video camera head in one embodiment of the invention.
Specific implementation mode
To facilitate the understanding of the present invention, below with reference to relevant drawings to invention is more fully described.In attached drawing
Give presently preferred embodiments of the present invention.But the present invention can realize in many different forms, however it is not limited to this paper institutes
The embodiment of description.Keep the understanding to the disclosure more thorough on the contrary, purpose of providing these embodiments is
Comprehensively.
A kind of campus monitoring method based on intelligent video camera head, suitable for being executed in computing device, as shown in Figure 1, including
Step S100~step S300:
Step S100:The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted.Prison
Control equipment is collected into the collected video stream data of some intelligent video camera head, the video stream data include certain time it is interior according to
The collected frame image of certain frequency, can be used certain playback rate and is continuously played.The monitoring data had both included image
Data can also include voice data, be corresponded according to same timestamp.According to computer image recognition technology analysis monitoring
Data obtain the quantity of the predetermined object with pre-stored characteristics information and/or position in monitoring data, form predetermined object number
According to.Predetermined object data are identified from monitoring data, which includes personnel, animal, vehicle and still life etc.
Corresponding data count the position relationship etc. between quantity, geographical location and the predetermined object of above-mentioned predetermined object, as
Predetermined object data simultaneously provide preparation to be further processed.Related technical personnel can understand specific calculate according to the prior art
Machine identification technology, therefore not to repeat here.
Step S200:Classify to the predetermined object data, get several class data, calculates of all categories
Data proportion of the object data in the predetermined object data.After monitoring device obtains and distinguishes predetermined object data,
Further classified to these data according to Computer Recognition Technology, specifically, is classified to predetermined object data, to obtain
Getting several class data includes:Predetermined object data are compared with several object datas that prestore, judges and distinguishes
Go out and class data that the object data that prestores matches.By predetermined object data and it is stored in monitoring system or high in the clouds clothes
Related data in business device is compared, you can predetermined object classified, for example, in campus monitors, by above-mentioned people
Member's data classify, and identify its identity, mark off campus staff, student, teacher, non-personnel in the school etc., and conduct
The information datas such as the campus staff of object data, student, teacher that prestore can by advance typing, such as in admission or
Image when registration is recorded.Preferably, the above-mentioned monitoring data of algorithm process is increased using concave and convex lenses image, is supervised after acquisition processing
Data are controlled, face information feature extraction is carried out to monitoring data after the processing, gets face information data.It is taken the photograph by high-frequency
As head is captured to the campus image before camera, then increasing algorithm by concave and convex lenses image makes an image increase to be multiple, from
In select out a progress image procossing most clear, that quality is best.Above-mentioned image is pre-processed first, correction face letter
Breath carries out face alignment, extracts face information feature, obtains face information complete as possible.Image increases algorithm and uses convex lens
Mirror image-forming principle, the size by changing spectrogram obtain more images.Further, according to ridgelet transform and small echo threshold
Value function algorithm process face information data get face information data after processing.The denoising process of the algorithm is small echo threshold
Value goes the fusion of dry and ridgelet transform, is as follows:
(1) noisy face information is subjected to wavelet decomposition and utilizes improved wavelet threshold number denoising;
(2) wavelet coefficient after denoising is utilized to reconstruct original image;
(3) noisy face information is subjected to Radon transformation and wavelet transformation is carried out to the Radon matrixes that transformation obtains;
(4) the matrix denoising obtained using improved wavelet threshold function pair wavelet transformation;
(5) matrix after denoising is subjected to wavelet inverse transformation;
(6) Radon inverse transformations are carried out to the matrix that wavelet inverse transformation obtains;
(7) image that wavelet threshold denoising obtains and the image that ridge ripple denoising obtains are merged.
Ridgelet transform denoising shows well line singularity, and the denoising of wavelet threshold function algorithm is for a singularity table
It is now good, for a width figure, by the two combine can better image denoising, obtain more accurate face information number
According to.
The characteristic in face information data after extraction process, characteristic such as human eye contour shape, face organ
Characteristic is compared relative position etc. with the characteristic in the object data that prestores, and judges and distinguishes and prestore pair
The class data that image data matches.
After distinguishing class data, it will be able to while obtaining predetermined object data bulk total in image data
With object data quantity of all categories, therefore computer can calculate in this image data shared by object data of all categories
Ratio, namely data proportion of the class data in predetermined object data is got, data proportion refers to a certain subitem number
According to the ratio in total data, for example, when in the image that the campus somewhere of a special occasion is absorbed occur 20 students, 5
It sets, 3 houses, the accounting in predetermined object data of the object data as student is 20/38.
Step S300:It is more than preset data rate of specific gravity to determine data proportion, generates warning information.Preset data rate of specific gravity
Also it is pre-stored in system database, is transferred when needed for comparing.Aforementioned case is connect, when the number for getting class data
According to proportion 20/38, and the student's quantity usually generally occurred in image of the campus at this is only 10, accounting 10/38, i.e., in advance
If data rate of specific gravity is 25%, illustrate that student assembles herein, it is understood that there may be abnormal event, or simultaneously when in student
There are non-personnel in the school, beyond the data proportion 0 for non-personnel in the school, also illustrates that there may be abnormal event, hairs herein
Go out corresponding pre-warning signal, related personnel is reminded to pay attention to concern situation herein.Preferably, it is more than preset data to determine data proportion
The particular content of rate of specific gravity refers not only to single datum comparison, and the data proportion that can also be several class data is more than
The quantity of preset data rate of specific gravity reaches predetermined threshold value, such as student, staff, teacher, non-personnel in the school this thought classification
There are three in the data proportion of data while being more than respective preset data rate of specific gravity, and predetermined threshold value is 2, then system generates pre-
Alert information, obtains more accurate pre-warning signal.
As a preferred scheme, as previously mentioned, further including acoustic information data, i.e. monitoring camera in monitoring data
Image can not only be recorded, additionally it is possible to enroll sound, also all further include correspondingly, in predetermined object data and class data sound
Sound information data, system determine the acoustic information data fit preset alarm voice data in object data of all categories simultaneously,
Generate warning information.Preferably, concrete scheme is that the loudness data determined in acoustic information data reaches preset alarm sound
Loudness threshold in data generates warning message, such as when detecting in image or video there is student's yawping, sound decibel
Number illustrates, there may be abnormal event, to send out warning information more than the sound decibel number of setting.Certainly, the position of predetermined object
Confidence breath can also be used for judging whether there is special event, for example, being determined by computer recognition system two or more
The location information for including in class data reaches preset location information, be more than preset time threshold or amount threshold,
Then reflect at this there may be special event, needs to send out warning information and be reminded.
Further include by warning information to setting terminal after the step of generating warning information as a preferred scheme
Equipment is sent.Such as alarm sound is sent out by alarm device, or set to the wireless communication of related personnel by wireless network
It is standby above to send out prompting message, or it is directly connected to the alarm channel alert of public security organ.
Correspondingly, the present invention provides a kind of campus monitoring device based on intelligent video camera head, as shown in Fig. 2, including:
Acquisition module 10 extracts the predetermined object data in monitoring data for obtaining the monitoring data in presumptive area.
Computing module 20 gets several class data, calculates number of objects of all categories for classifying to predetermined object data
According to the data proportion in predetermined object data.Warning module 30 is more than preset data rate of specific gravity for determining data proportion,
Generate warning information.
Meanwhile the thought based on computer system, the present invention accordingly provide a kind of monitoring based on intelligent video camera head and set
It is standby comprising processor and the memory for storing processor-executable instruction, wherein processor is configured as executing following
Step:The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted;To the predetermined object
Data are classified, and several class data are got, and calculate object data of all categories in the predetermined object data
Data proportion;It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.
The device or module that above-described embodiment illustrates can specifically realize by computer chip or entity, or by having
The product of certain function is realized.A kind of typically to realize that equipment is computer, the concrete form of computer can be personal meter
Calculation machine, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media player, navigation are set
It is arbitrary several in standby, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
These computer program instructions also can be loaded onto a computer or other programmable data processing device so that count
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, in computer or
The instruction executed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
Including so that process, method, commodity or equipment including a series of elements include not only those elements, but also wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that wanted including described
There is also other identical elements in the process of element, method, commodity or equipment.
This specification one or more embodiment can computer executable instructions it is general on
Described in hereafter, such as program module.Usually, program module includes executing particular task or realization particular abstract data type
Routine, program, object, component, data structure etc..Can also put into practice in a distributed computing environment this specification one or
Multiple embodiments, in these distributed computing environments, by being executed by the connected remote processing devices of communication network
Task.In a distributed computing environment, the local and remote computer that program module can be located at including storage device is deposited
In storage media.
Each embodiment in this specification is described in a progressive manner, identical similar portion between each embodiment
Point just to refer each other, and each embodiment focuses on the differences from other embodiments.Especially for server-side
For apparatus embodiments, since it is substantially similar to the method embodiment, so description is fairly simple, related place is referring to method
The part of embodiment illustrates.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the action recorded in detail in the claims or step can be come according to different from the sequence in embodiment
It executes and desired result still may be implemented.In addition, the process described in the accompanying drawings not necessarily require show it is specific suitable
Sequence or consecutive order could realize desired result.In some embodiments, multitasking and parallel processing be also can
With or it may be advantageous.
The foregoing is merely the preferred embodiments of this specification one or more embodiment, not limiting this public affairs
It opens, all within the spirit and principle of the disclosure, any modification, equivalent substitution, improvement and etc. done should be included in the disclosure
Within the scope of protection.
Claims (10)
1. a kind of campus monitoring method based on intelligent video camera head, suitable for being executed in computing device, which is characterized in that including under
Row step:
The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted;
Classify to the predetermined object data, get several class data, calculates object data of all categories in institute
State the data proportion in predetermined object data;
It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.
2. the campus monitoring method according to claim 1 based on intelligent video camera head, which is characterized in that described obtain makes a reservation for
Monitoring data in region, the step of extracting the predetermined object data in the monitoring data, specifically include:
The monitoring data is analyzed according to computer image recognition technology, is obtained pre- with pre-stored characteristics information in monitoring data
Quantity and/or the position for determining object form the predetermined object data.
3. the campus monitoring method according to claim 1 based on intelligent video camera head, which is characterized in that described to described pre-
The step of determining object data to classify, getting several class data specifically includes:
The predetermined object data are compared with several object datas that prestore, judge and are distinguished and the number of objects that prestores
According to the class data to match.
4. the campus monitoring method according to claim 2 or 3 based on intelligent video camera head, which is characterized in that using concave-convex
Mirror image increases monitoring data described in algorithm process, monitoring data after acquisition processing, to monitoring data after the processing into pedestrian
Face information characteristics extract, and get face information data.
5. the campus monitoring method according to claim 4 based on intelligent video camera head, which is characterized in that according to ridgelet transform
With the wavelet threshold function algorithm processing face information data, face information data after processing is got;
The characteristic in face information data after the processing is extracted, by the spy in the characteristic and the object data that prestores
Sign data are compared, and judge and distinguish the class data to match with the object data that prestores.
6. the campus monitoring method according to claim 1 based on intelligent video camera head, which is characterized in that the monitoring number
According to further including acoustic information data in, predetermined object data and the class data, number of objects of all categories is determined
Acoustic information data fit preset alarm voice data in generates warning information.
7. the campus monitoring method according to claim 6 based on intelligent video camera head, which is characterized in that described to determine respectively
The step of acoustic information data fit preset alarm voice data in class data, generation warning information, is specifically, sentence
Break to the loudness data in the acoustic information data loudness threshold reached in preset alarm voice data, generates alarm signal
Breath.
8. the campus monitoring method according to claim 1 based on intelligent video camera head, which is characterized in that the generation early warning
Further include sending the warning information to setting terminal equipment after the step of information.
9. a kind of campus monitoring device based on intelligent video camera head, which is characterized in that including:
Acquisition module extracts the predetermined object data in the monitoring data for obtaining the monitoring data in presumptive area;
Computing module gets several class data, calculates of all categories for classifying to the predetermined object data
Data proportion of the object data in the predetermined object data;
Warning module is more than preset data rate of specific gravity for determining the data proportion, generates warning information.
10. a kind of campus monitoring device based on intelligent video camera head, which is characterized in that including processor and for storing processor
The memory of executable instruction;Wherein, the processor is configured as:
The monitoring data in presumptive area is obtained, the predetermined object data in the monitoring data are extracted;
Classify to the predetermined object data, get several class data, calculates object data of all categories in institute
State the data proportion in predetermined object data;
It is more than preset data rate of specific gravity to determine the data proportion, generates warning information.
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| CN201810460108.7A CN108694388B (en) | 2018-05-15 | 2018-05-15 | Campus monitoring method and device based on intelligent camera |
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| CN201810460108.7A CN108694388B (en) | 2018-05-15 | 2018-05-15 | Campus monitoring method and device based on intelligent camera |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109949009A (en) * | 2019-03-20 | 2019-06-28 | 任磊 | A kind of Campus Office System based on student health development |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106529570A (en) * | 2016-10-14 | 2017-03-22 | 西安电子科技大学 | Image classification method based on deep ridgelet neural network |
| CN106713857A (en) * | 2016-12-15 | 2017-05-24 | 重庆凯泽科技股份有限公司 | Campus security system and method based on intelligent videos |
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2018
- 2018-05-15 CN CN201810460108.7A patent/CN108694388B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106529570A (en) * | 2016-10-14 | 2017-03-22 | 西安电子科技大学 | Image classification method based on deep ridgelet neural network |
| CN106713857A (en) * | 2016-12-15 | 2017-05-24 | 重庆凯泽科技股份有限公司 | Campus security system and method based on intelligent videos |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109949009A (en) * | 2019-03-20 | 2019-06-28 | 任磊 | A kind of Campus Office System based on student health development |
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