CN106651902A - Building intelligent early warning method and system - Google Patents
Building intelligent early warning method and system Download PDFInfo
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- CN106651902A CN106651902A CN201510733827.8A CN201510733827A CN106651902A CN 106651902 A CN106651902 A CN 106651902A CN 201510733827 A CN201510733827 A CN 201510733827A CN 106651902 A CN106651902 A CN 106651902A
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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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Abstract
The invention provides a building intelligent early warning method and system. The method comprises steps of obtaining a real-time video monitor image sequence of a building; subjecting the video monitor image sequence to data frame capture to obtain multiple monitor pictures; using a median filtering method to carry out feature extraction of each monitor picture to obtain the color gray value of each pixel point in each monitor picture; comparing the color gray value of each pixel point in each monitor picture with a color gray value of a corresponding pixel point in a preset background picture corresponding to the monitor picture, and determining a moving object in the monitor picture according to the comparison result; and carrying out early warning to the moving object according to a preset early warning policy. The early warning accuracy of the building early warning device is improved, the problems that the traditional building early warning device is low in automatic degree, poor in early warning effect and the like are solved, and the time and manpower waste due to inaccurate early warning is reduced at the same time.
Description
Technical field
The present invention relates to field of information security technology, and in particular to a kind of building intelligent method for early warning
And system.
Background technology
With the increasingly raising of people's lives quality, people are also increasingly closed to life and property problem
Note, this is accomplished by ensureing the security of the lives and property of people by security facility, megastore,
The building such as the public places such as office building, hotel, library and residential building install prior-warning device
It is exactly one of security facility, building prior-warning device is primarily directed to building gateway, interior corridor
And some important places are monitored, if unusual circumstance, send pre- to Security Personnel
Alarming information.
Existing building prior-warning device is detected by detector to field condition, to detector
The detectable signal for sending carries out relevant treatment, and detectable signal is sentenced using early warning evaluation algorithm
It is disconnected, early warning is carried out, but, as the construction scale of building gradually increases, needed for prior-warning device
The scope of monitoring also constantly increases, the quantity and class of the detectable signal that traditional detector is gathered
Type is more, and simple early warning evaluation algorithm is led with carrying out early warning to detectable signal
Cause false-alarm probability to greatly increase, reduce safety guarantee of the security facility to people, and oneself
Dynamicization degree is relatively low, loses time and manpower.
The content of the invention
The present invention provides a kind of building intelligent method for early warning and system, by adopting median filtering method
Real-time video monitoring image is processed, early warning accuracy rate is improve, existing building are solved
Prior-warning device automaticity is low, the problem of early warning effect difference.
In a first aspect, the present invention provides a kind of building intelligent method for early warning, methods described includes：
Obtain the real-time video monitoring image sequence of building；
Getting the fame is carried out to the video monitoring image sequence, multiple monitoring pictures are obtained；
Feature extraction is carried out to each monitoring picture using median filtering method, each monitoring figure is obtained
The color gray value of each pixel in piece；
The color gray value of each pixel in monitoring picture is corresponding pre- with the monitoring picture
If the color gray value of corresponding pixel points is compared in background picture, and true according to comparative result
Moving target in the fixed monitoring picture；
Early warning is carried out to the moving target according to default prediction policy.
Wherein, before Getting the fame is carried out to the video monitoring image sequence, the side
Method also includes：
The key message of the video monitoring image sequence is extracted, the key message includes monitoring
Total duration, time interval and positional information；
After Getting the fame is carried out to the video monitoring image sequence, methods described is also wrapped
Include：
It is the monitoring picture addition description information for obtaining according to the key message.
Wherein, it is described that Getting the fame is carried out to the monitor video data, obtain multiple monitoring
Picture, specifically includes：
Continuous picture is intercepted according to default picture intercept point or is cut according to particular picture is carried
The solicited message for taking a little intercepts specific picture.
Wherein, methods described also includes：
Feature extraction is carried out to default background picture using median filtering method, the default back of the body is obtained
The color gray value of each pixel in scape picture.
Wherein, it is described to monitor the color gray value and the monitoring figure of each pixel in picture
The color gray value of corresponding pixel points is compared in the corresponding default background picture of piece, and according to
Comparative result determines the moving target in the monitoring picture, specifically includes：
The color gray value of each pixel is corresponding with the monitoring picture in the picture by monitoring
Default background picture in the color gray value of corresponding pixel points made the difference, obtain it is described will prison
The color gray value of each pixel default Background corresponding with the monitoring picture in control picture
The difference of the color gray value of corresponding pixel points in piece；
The difference is compared with default threshold value, if the difference is more than described default
Threshold value, it is determined that the pixel is moving target.
Second aspect, the present invention provides a kind of building intelligent early warning system, and the system includes upper
Position machine and at least one slave computer, the host computer is communicated respectively with each slave computer；
The slave computer is specifically included：
Video acquiring module, for obtaining the real-time video monitoring image sequence of building；
Video processing module, for carrying out Getting the fame to the video monitoring image sequence,
Obtain multiple monitoring pictures；
Picture processing module, carries for carrying out feature to each monitoring picture using median filtering method
Take, obtain the color gray value of each pixel in each monitoring picture；
Module of target detection, for the color gray value of each pixel and institute in picture will to be monitored
The color gray value for stating corresponding pixel points in the corresponding default background picture of monitoring picture is compared
Compared with, and the moving target in the monitoring picture is determined according to comparative result；
Warning module, for carrying out early warning to the moving target according to default prediction policy.
Wherein, the system also includes：
First pretreatment module, in the video processing module to the video monitoring image
Sequence is carried out before Getting the fame, extracts the key message of the video monitoring image sequence,
The key message includes monitoring total duration, time interval and positional information；
Second pretreatment module, for according to the key message be obtain monitoring picture addition
Description information.
Wherein, the video processing module, specifically includes：
Continuous picture interception unit, for intercepting continuous picture according to default picture intercept point；
Particular picture interception unit, for according to the solicited message for carrying particular picture intercept point
Intercept specific picture.
Wherein, the system also includes：
Background picture processing module, for carrying out spy to default background picture using median filtering method
Extraction is levied, the color gray value of each pixel in the default background picture is obtained.
Wherein, the module of target detection, specifically includes：
Analytic unit, the color gray value and institute for each pixel in the picture by monitoring
The color gray value for stating corresponding pixel points in the corresponding default background picture of monitoring picture is done
Difference, obtains the color gray value and the monitoring picture of each pixel in the picture by monitoring
The difference of the color gray value of corresponding pixel points in corresponding default background picture；
Determining unit, for the difference to be compared with default threshold value, if the difference
More than the default threshold value, it is determined that the pixel is moving target.
A kind of building intelligent method for early warning and system that the present invention is provided, by adopting medium filtering
Method is processed real-time video monitoring image sequence, extracts each pixel in monitoring picture
Color gray value, and with the color gray value of each pixel in corresponding default background picture
It is compared to detect moving target, to improve the early warning accuracy rate of building prior-warning device, solves
Existing building prior-warning device automaticity is low, early warning effect difference the problems such as, meanwhile, reduce
The waste of the time and manpower caused because early warning is inaccurate.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present disclosure or technical scheme of the prior art, below
The accompanying drawing to be used needed for embodiment or description of the prior art will be briefly described, show and
Easy insight, drawings in the following description are only some embodiments of the present disclosure, for this area
For those of ordinary skill, on the premise of not paying creative work, can be with according to these
Figure obtains other accompanying drawings.
A kind of flow process of building intelligent method for early warning that Fig. 1 is provided for one embodiment of the invention is illustrated
Figure；
A kind of structural representation of building intelligent early warning system that Fig. 2 is provided for one embodiment of the invention
Figure.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present disclosure, to the technical side in the embodiment of the present disclosure
Case is clearly and completely described, it is clear that described embodiment is only the present invention one
Divide embodiment, rather than the embodiment of whole.Based on the embodiment in the disclosure, this area is general
The every other embodiment that logical technical staff is obtained under the premise of creative work is not made,
Belong to the scope of disclosure protection.
As shown in figure 1, the embodiment of the present disclosure provides a kind of building intelligent method for early warning, the party
Method comprises the steps：
S11, the real-time video monitoring image sequence for obtaining building；
Specifically, after the real-time video monitoring image sequence of building is by the collection of collection in worksite equipment,
In being stored in advance in slave computer.
S12, Getting the fame is carried out to the video monitoring image sequence, obtain multiple monitoring figures
Piece；
S13, using median filtering method to it is each monitoring picture carry out feature extraction, obtain each prison
The color gray value of each pixel in control picture；
Specifically, the red, green, blue three-primary colours of each pixel in each monitoring picture are extracted
Gray value.
S14, will monitoring picture in each pixel color gray value with it is described monitoring picture it is corresponding
Default background picture in the color gray value of corresponding pixel points be compared, and according to comparing knot
Fruit determines the moving target in the monitoring picture；
Specifically, the data for detecting are uploaded to into host computer, so that host computer shows to it
Show, in order to carry out early warning to the moving target for detecting.
The default prediction policy of S15, basis carries out early warning to the moving target.
Specifically, the moving target that detects is carried out showing according to the corresponding scene of setting and
Early warning.
A kind of building intelligent method for early warning that the present embodiment is provided, by by video monitoring image sequence
It is multiple monitoring pictures that row are intercepted, and each monitoring picture is processed using median filtering method,
Extract it is each monitoring picture pixel gray value, and by it is each monitoring picture each pixel
The color gray value of point enters with the color gray value of each pixel of corresponding default background picture
Row makes the difference, and moving target is detected, with this early warning of building prior-warning device is improved
Accuracy rate, solves the problems, such as that existing building prior-warning device automaticity is low, early warning effect is poor.
In another embodiment disclosed by the invention, the present embodiment is based on disclosed in above-described embodiment
Technical scheme, wherein, before Getting the fame is carried out to the video monitoring image sequence,
Methods described also comprises the steps：
The key message of the video monitoring image sequence is extracted, the key message includes monitoring
Total duration, time interval and positional information；
Specifically, pre-processed by the video monitoring image sequence to obtaining, extract video
The key message of monitoring image sequence, so that the monitoring figure intercepted from video monitoring image sequence
Piece is effectively monitoring picture.
After Getting the fame is carried out to the video monitoring image sequence, methods described is also wrapped
Include following steps：
It is the monitoring picture addition description information for obtaining according to the key message.
In the present embodiment, by before intercepting to video monitoring image sequence, to regarding
Frequency monitoring image sequence is pre-processed, and extracts the key message of video monitoring image sequence, with
The validity of the monitoring picture for intercepting is improved, and according to the key message to the monitoring figure that obtains
Piece is described, and by being further analyzed process to the monitoring picture, realizes motion mesh
Target detection, increased the early warning accuracy rate of building prior-warning device.
In the present embodiment, it is described that Getting the fame is carried out to the monitor video data, obtain
Multiple monitoring pictures, specifically include following steps：
Continuous picture is intercepted according to default picture intercept point or is cut according to particular picture is carried
The solicited message for taking a little intercepts specific picture.
Specifically, it is described to can be understood as according to the continuous picture of default picture intercept point intercepting
Picture is automatically generated according to software default setting；
The basis carry the solicited message of particular picture intercept point intercept specific picture can be with
It is interpreted as, user can arrange picture intercept point according to specific demand, intercepts specific figure
Piece.
In the present embodiment, methods described also comprises the steps：
Feature extraction is carried out to default background picture using median filtering method, the default back of the body is obtained
The color gray value of each pixel in scape picture.
Specifically, median filtering method be the gray scale to all pixels point in certain window by from it is little to
Big order arrangement, and using median as pixel gray value, this median is difficult to receive
To the impact of Outliers, there is the characteristic of good body data, therefore, based on median
Robust filter has good stability.
Specifically, color gray value extraction is carried out using median filtering method to default background picture,
In order to be compared with each color gray value of the monitoring picture, comparative result is improve
Accuracy.
In the present embodiment, the color gray value of each pixel and institute in the picture by monitoring
The color gray value for stating corresponding pixel points in the corresponding default background picture of monitoring picture is compared
Compared with, and the moving target in the monitoring picture is determined according to comparative result, specifically include as follows
Step：
The color gray value of each pixel is corresponding with the monitoring picture in the picture by monitoring
Default background picture in the color gray value of corresponding pixel points made the difference, obtain it is described will prison
The color gray value of each pixel default Background corresponding with the monitoring picture in control picture
The difference of the color gray value of corresponding pixel points in piece；
Specifically, the color gray value of each pixel and the monitoring picture pair in picture are monitored
The difference major part of the color gray value of corresponding pixel points is all close in the default background picture answered
In zero, the corresponding color gray value of moving target only monitored in picture is default with corresponding
Gap of the difference of the color gray value of corresponding pixel points with zero is larger in background picture, therefore,
Finding the larger color gray scale value set of these differences can be to examine the moving target on each frame
Measure and.
The difference is compared with default threshold value, if the difference is more than described default
Threshold value, it is determined that the pixel is moving target.
Specifically, if the difference is more than the default threshold value, it is determined that the pixel is front
Scape moving target, otherwise, is judged as background；
It should be noted that the threshold value at this can be empirical value, obtained by many experiments checking
The numerical value being compared with the difference.
As shown in Fig. 2 another embodiment of the disclosure provides a kind of building intelligent early warning system,
The system includes：Host computer and at least one slave computer, the host computer respectively with each bottom
Machine is communicated；
The slave computer is specifically included：Video acquiring module 41, video processing module 42, picture
Processing module 43, module of target detection 44 and warning module 45；
The video acquiring module 41, for obtaining the real-time video monitoring image sequence of building；
The video processing module 42, for carrying out Frame to the video monitoring image sequence
Intercept, obtain multiple monitoring pictures；
The picture processing module 43, for being carried out to each monitoring picture using median filtering method
Feature extraction, obtains the color gray value of each pixel in each monitoring picture；
The module of target detection 44, for the color gray scale by each pixel in picture is monitored
The color gray value of corresponding pixel points enters in value default background picture corresponding with the monitoring picture
Row compares, and determines the moving target in the monitoring picture according to comparative result；
The warning module 45, it is pre- for being carried out to the moving target according to default prediction policy
It is alert.
Specifically, the host computer is communicated respectively with each slave computer by network interface.
In the present embodiment, memory module is also included in the slave computer；
The video monitoring image sequence is prestored in a storage module；
The monitoring picture of the intercepting is stored in memory module according to the store path given tacit consent to or specify
In.
In the present embodiment, the slave computer also includes the first pretreatment module and the second pretreatment
Module；
First pretreatment module, in the video processing module to the video monitoring
Image sequence is carried out before Getting the fame, extracts the crucial letter of the video monitoring image sequence
Breath, the key message includes monitoring total duration, time interval and positional information；
Second pretreatment module, for being the monitoring picture for obtaining according to the key message
Addition description information.
In the present embodiment, the video processing module 42, specifically includes continuous picture and intercepts list
Unit and particular picture interception unit；
The continuous picture interception unit, it is continuous for being intercepted according to default picture intercept point
Picture；
The particular picture interception unit, for according to the request for carrying particular picture intercept point
The specific picture of information interception.
In the present embodiment, the slave computer also includes background picture processing module；
The background picture processing module, for being entered to default background picture using median filtering method
Row feature extraction, obtains the color gray value of each pixel in the default background picture.
In the present embodiment, the module of target detection 44, specifically includes analytic unit and determination
Unit；
The analytic unit, for the color gray value of each pixel in the picture by monitoring
The color gray value of corresponding pixel points is carried out in default background picture corresponding with the monitoring picture
Make the difference, obtain the color gray value and the monitoring figure of each pixel in the picture by monitoring
The difference of the color gray value of corresponding pixel points in the corresponding default background picture of piece；
The determining unit, for the difference to be compared with default threshold value, if described
Difference is more than the default threshold value, it is determined that the pixel is moving target.
The concrete operating principle of technical scheme disclosed in the present embodiment is as follows：
Modules are established the link with host computer in slave computer, keep proper communication；In slave computer
Video acquiring module memory module establish the link and keep proper communication, obtain video monitoring figure
As sequence；The video monitoring image sequence for obtaining is pre-processed by the first pretreatment module,
Getting the fame is carried out to video monitoring image sequence by video processing module, multiple prisons are obtained
Control picture；Description information is added to monitoring picture by the second pretreatment module；At picture
Reason module carries out feature extraction using median filtering method to each monitoring picture, obtains each monitoring
The color gray value of each pixel in picture；Filtered using intermediate value by background picture processing module
Ripple method carries out feature extraction to default background picture, obtains each picture in the default background picture
The color gray value of vegetarian refreshments；The face of each pixel in picture will be monitored by module of target detection
The color ash of corresponding pixel points in color shade value default background picture corresponding with the monitoring picture
Angle value is compared, and determines the moving target in the monitoring picture according to comparative result；It is logical
Cross warning module carries out early warning according to default prediction policy to the moving target.
A kind of building intelligent early warning system disclosed in the present embodiment, by by video monitoring image sequence
It is multiple monitoring pictures that row are intercepted, and each monitoring picture is processed using median filtering method,
Extract it is each monitoring picture pixel gray value, and by it is each monitoring picture each pixel
The color gray value of point enters with the color gray value of each pixel of corresponding default background picture
Row makes the difference, and moving target is detected, with this early warning of building prior-warning device is improved
Accuracy rate, the system response is rapid, and effectively dangerous scene can be reported to the police, and solves existing
There is the problem that building prior-warning device automaticity is low, early warning effect is poor, and, from globality
Can from the point of view of, the system design is reasonable, transmission is accurate, interlink warning is rapid, feedback of the information
Timely and effective, alarm information processing platform is reliable stable.
One of ordinary skill in the art will appreciate that：Various embodiments above is only to illustrate the present invention
Technical scheme, rather than a limitation；Although carrying out to the present invention with reference to foregoing embodiments
Detailed description, it will be understood by those within the art that：It still can be to aforementioned each
Technical scheme described in embodiment is modified, either special to which part or whole technologies
Levying carries out equivalent；And these modifications or replacement, do not make the essence of appropriate technical solution
Depart from the scope of the claims in the present invention.
Claims (10)
1. a kind of building intelligent method for early warning, it is characterised in that methods described includes：
Obtain the real-time video monitoring image sequence of building；
Getting the fame is carried out to the video monitoring image sequence, multiple monitoring pictures are obtained；
Feature extraction is carried out to each monitoring picture using median filtering method, each monitoring figure is obtained
The color gray value of each pixel in piece；
The color gray value of each pixel in monitoring picture is corresponding pre- with the monitoring picture
If the color gray value of corresponding pixel points is compared in background picture, and true according to comparative result
Moving target in the fixed monitoring picture；
Early warning is carried out to the moving target according to default prediction policy.
2. method according to claim 1, it is characterised in that to the video monitoring
Image sequence is carried out before Getting the fame, and methods described also includes：
The key message of the video monitoring image sequence is extracted, the key message includes monitoring
Total duration, time interval and positional information；
After Getting the fame is carried out to the video monitoring image sequence, methods described is also wrapped
Include：
It is the monitoring picture addition description information for obtaining according to the key message.
3. method according to claim 1, it is characterised in that described that the monitoring is regarded
Frequency obtains multiple monitoring pictures according to Getting the fame is carried out, and specifically includes：
Continuous picture is intercepted according to default picture intercept point or is cut according to particular picture is carried
The solicited message for taking a little intercepts specific picture.
4. the method according to any one of claim 1-3, it is characterised in that methods described
Also include：
Feature extraction is carried out to default background picture using median filtering method, the default back of the body is obtained
The color gray value of each pixel in scape picture.
5. method according to claim 4, it is characterised in that it is described will be in monitoring picture
The color gray value of each pixel is corresponding with the corresponding default background picture of the monitoring picture
The color gray value of pixel is compared, and is determined in the monitoring picture according to comparative result
Moving target, specifically include：
The color gray value of each pixel is corresponding with the monitoring picture in the picture by monitoring
Default background picture in the color gray value of corresponding pixel points made the difference, obtain it is described will prison
The color gray value of each pixel default Background corresponding with the monitoring picture in control picture
The difference of the color gray value of corresponding pixel points in piece；
The difference is compared with default threshold value, if the difference is more than described default
Threshold value, it is determined that the pixel is moving target.
6. a kind of building intelligent early warning system, it is characterised in that the system include host computer and
At least one slave computer, the host computer is communicated respectively with each slave computer；
The slave computer is specifically included：
Video acquiring module, for obtaining the real-time video monitoring image sequence of building；
Video processing module, for carrying out Getting the fame to the video monitoring image sequence,
Obtain multiple monitoring pictures；
Picture processing module, carries for carrying out feature to each monitoring picture using median filtering method
Take, obtain the color gray value of each pixel in each monitoring picture；
Module of target detection, for the color gray value of each pixel and institute in picture will to be monitored
The color gray value for stating corresponding pixel points in the corresponding default background picture of monitoring picture is compared
Compared with, and the moving target in the monitoring picture is determined according to comparative result；
Warning module, for carrying out early warning to the moving target according to default prediction policy.
7. system according to claim 6, it is characterised in that the system also includes：
First pretreatment module, in the video processing module to the video monitoring image
Sequence is carried out before Getting the fame, extracts the key message of the video monitoring image sequence,
The key message includes monitoring total duration, time interval and positional information；
Second pretreatment module, for according to the key message be obtain monitoring picture addition
Description information.
8. system according to claim 6, it is characterised in that the video processing module,
Specifically include：
Continuous picture interception unit, for intercepting continuous picture according to default picture intercept point；
Particular picture interception unit, for according to the solicited message for carrying particular picture intercept point
Intercept specific picture.
9. the system according to any one of claim 6-8, it is characterised in that the system
Also include：
Background picture processing module, for carrying out spy to default background picture using median filtering method
Extraction is levied, the color gray value of each pixel in the default background picture is obtained.
10. system according to claim 9, it is characterised in that the target detection mould
Block, specifically includes：
Analytic unit, the color gray value and institute for each pixel in the picture by monitoring
The color gray value for stating corresponding pixel points in the corresponding default background picture of monitoring picture is done
Difference, obtains the color gray value and the monitoring picture of each pixel in the picture by monitoring
The difference of the color gray value of corresponding pixel points in corresponding default background picture；
Determining unit, for the difference to be compared with default threshold value, if the difference
More than the default threshold value, it is determined that the pixel is moving target.
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| CN109785341A (en) * | 2019-01-14 | 2019-05-21 | 深圳市邻友通科技发展有限公司 | A kind of manicure device fingernail region image acquiring method, system, nail art device and medium |
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