CN110351523A - A kind of building video monitoring system and video monitoring method of adjustment - Google Patents
A kind of building video monitoring system and video monitoring method of adjustment Download PDFInfo
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- CN110351523A CN110351523A CN201910658427.3A CN201910658427A CN110351523A CN 110351523 A CN110351523 A CN 110351523A CN 201910658427 A CN201910658427 A CN 201910658427A CN 110351523 A CN110351523 A CN 110351523A
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- video monitoring
- building
- adjustment
- criminal offence
- microprocessor
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 21
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims description 8
- RTZKZFJDLAIYFH-UHFFFAOYSA-N Diethyl ether Chemical compound CCOCC RTZKZFJDLAIYFH-UHFFFAOYSA-N 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 4
- 230000014759 maintenance of location Effects 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/78—Television signal recording using magnetic recording
- H04N5/781—Television signal recording using magnetic recording on disks or drums
-
- 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
Abstract
The invention belongs to security protection and field of video monitoring, it is related to a kind of building video monitoring system and video monitoring method of adjustment.The system comprises image data acquiring module, processing and control module, ethernet controller and Cloud Servers；Using microprocessor as processing and control module, camera is interconnected with image data acquiring module, processing and control module, memory, hard disk, ethernet controller respectively as video image data acquisition module, microprocessor；Ethernet controller will be connected by Internet with Cloud Server.Driver needed for transplanting linux operating system and transplanting camera, ethernet controller in microprocessor.The present invention is according to the criminal offence historgraphic data recording appeared near building and building, there is a possibility that criminal offence size in current slot in prediction, and according to the possibility size, changes the frame per second of stored image, the size for adjusting video file achievees the purpose that save memory space.
Description
Technical field
The invention belongs to security protection and field of video monitoring, it is related to a kind of building video monitoring system and video monitoring adjustment side
Method.
Background technique
Currently, high-definition video monitoring while bringing image quality substantially to promote, also brings the increase of cost in storage equipment.
Saving memory space becomes the important method for reducing cost.It is learnt according to data statistics, criminal offence is in different time nodes
(moon, week, hour) is that have certain rule.As shown in Figure 1 and Figure 2, according to criminal offence appear in building with
And the historgraphic data recording near building, it can predict a possibility that criminal offence size occur in current slot, according to criminal
A possibility that crime is size changes the frame per second of stored image, adjusts the size of video file, and it is empty to can achieve saving storage
Between purpose.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of building video monitoring systems and video monitoring adjustment side
Method, according to the criminal offence historgraphic data recording appeared near building and building, there is crime in current slot in prediction
Size changed the frame per second of stored image, adjusted the size of video file and according to the possibility size a possibility that behavior,
Achieve the purpose that save memory space.
The technical scheme is that
A kind of building video monitoring system, including image data acquiring module, processing and control module, ethernet controller and
Cloud Server；Using microprocessor as processing and control module, further, microprocessor ARM；Camera is as video figure
As data acquisition module, microprocessor respectively with image data acquiring module, processing and control module, memory, hard disk, ether network control
Device interconnection processed；Ethernet controller will be connected by Internet with Cloud Server.
Further, it transplants in microprocessor and is driven needed for linux operating system and transplanting camera, ethernet controller
Dynamic program.
V4L2 (video 4linux 2) is to be related to the switch control to video equipment, acquisition is simultaneously in linux kernel
Handle video image information.It is the API that linux kernel is supplied to user, and various videos and audio frequency apparatus installation are corresponding
After device drives, so that it may control these videos either audio frequency apparatus by the system API of V4L2 offer.Acquire image
Process operationally namely calls the process of the various letters of V4L2.
Using the video monitoring method of adjustment of building video monitoring system, steps are as follows:
The first step chooses typical data according to the criminal offence historgraphic data recording appeared near building and building,
The data are on Cloud Server, according to being updated for new criminal offence new data.
Second step, if the current time corresponding moon, week, hour m, w, h, calculate current time and every group of data away from
From, if first group of data corresponding moon, week, hour m1, w1, h1；
2.1 couples of m1 and m sort, if m > m1, retention value is constant；If m<m1, the value of m, m1 are exchanged, m>m1 is made；To w with
W1, h and h1 also sort in this way.
2.2 enabling
Xm1=min (m-m1,12+m1-m)
Xw1=min (w-w1,7+w1-w)
Xh1=min (h-h1,24+h1-h)
Third step, current time vector and first group of time arrow distance d1Are as follows:
Further, personnel's flow number and current slot police strength number can be added respectively at a distance from its first group of vector；
4th step calculates time distance di corresponding to current time and every group of data；
5th step sorts according to distance di increasing order；It chooses and current time is apart from the smallest K point.
6th step, before returning K highest classifications of the frequency of occurrences as criminal offence corresponding to current time whether there is or not
Prediction classification.
7th step is predicted according to the criminal offence of the presence or absence of current slot: when being predicted as criminal offence, then video monitoring
Frame frequency it is constant；When being predicted as doli incapax, then the frame per second of video monitoring is reduced, saves memory space.
Reduce the frame per second method of video monitoring are as follows:
Function (such as embedded Linux is system function ioctl) is called to obtain a frame image.If current slot is pre-
It surveys to there is criminal offence, then will all be dumped in hard disk from the image read in memory；If current slot is predicted as nothing
The image read from memory is then abandoned by the ratio of setting, achievees the purpose that the frame per second for reducing video monitoring by criminal offence.
The program for completing step 7 operates in local microprocessor.
The present invention has the advantages that；
The present invention is predicted according to the criminal offence historgraphic data recording appeared near building and building in current time
There is a possibility that criminal offence size in section, and according to the possibility size, changes the frame per second of stored image, adjustment video text
The size of part achievees the purpose that save memory space.
Detailed description of the invention
Fig. 1 is criminal offence in different time nodes (moon) statistical chart.
Fig. 2 be criminal offence different time nodes (when) statistical chart.
Fig. 3 is the structural schematic diagram of building video monitoring system.
Specific embodiment
The invention will be further described below in conjunction with the accompanying drawings.Following embodiment is only used for clearly illustrating the present invention
Technical solution, and not intended to limit the protection scope of the present invention.
A kind of video monitoring method of adjustment of building video monitoring system, steps are as follows:
The first step chooses typical data according to the criminal offence historgraphic data recording appeared near building and building,
It is as follows:
The data are on Cloud Server, according to being updated for new criminal offence new data.
Second step, if the current time corresponding moon, week, hour m, w, h, calculate current time and every group of data away from
From, if first group of data corresponding moon, week, hour m1, w1, h1；
2.1 couples of m1 and m sort, if m > m1, retention value is constant；If m<m1, the value of m, m1 are exchanged, m>m1 is made；To w with
W1, h and h1 also sort in this way.
2.2 enabling
Xm1=min (m-m1,12+m1-m)
Xw1=min (w-w1,7+w1-w)
Xh1=min (h-h1,24+h1-h)
Third step, current time vector and first group of time arrow distance d1Are as follows:
4th step calculates time distance di corresponding to current time and every group of data；
5th step sorts according to distance di increasing order；It chooses and current time is apart from the smallest 9 points.
6th step, return the highest classification of preceding 9 frequencies of occurrences as criminal offence corresponding to current time whether there is or not
Prediction classification, work as k=9, have 6 (6 > 5) a to there is criminal offence in 9 points, then current slot has been predicted as crime
Behavior.
Procedure above operates in Cloud Server, and after program obtains the prediction to current slot criminal offence, prediction is tied
Fruit passes to local microprocessor by network protocol.
7th step is predicted according to the criminal offence of the presence or absence of current slot: when being predicted as criminal offence, then video monitoring
Frame frequency it is constant；When being predicted as doli incapax, then the frame per second of video monitoring is reduced, saves memory space.
Reduce the frame per second method of video monitoring are as follows:
Embedded Linux is used to obtain a frame image for system function ioctl.If the current slot criminal of being predicted as
Crime is that then will all dump in hard disk from the image read in memory；If current slot is predicted as doli incapax,
The image read from memory is then retained 60% in the ratio of setting, 40% abandons, and reaches the frame per second for reducing video monitoring
Purpose, the program for completing step 7 operate in local microprocessor.
Claims (5)
1. a kind of video monitoring method of adjustment, which is characterized in that steps are as follows:
The first step chooses typical data according to the criminal offence historgraphic data recording appeared near building and building, according to
New criminal offence new data is updated；
Second step, if the current time corresponding moon, week, hour m, w, h calculate current time at a distance from every group of data, if
First group of data corresponding moon, week, hour m1, w1, h1；
2.1 couples of m1 and m sort, if m > m1, retention value is constant；If m<m1, the value of m, m1 are exchanged, m>m1 is made；To w and w1, h
It also sorts in this way with h1；
2.2 enabling
Xm1=min (m-m1,12+m1-m)
Xw1=min (w-w1,7+w1-w)
Xh1=min (h-h1,24+h1-h)
Third step, current time vector and first group of time arrow distance d1Are as follows:
4th step calculates time distance di corresponding to current time and every group of data；
5th step sorts according to distance di increasing order；It chooses and current time is apart from the smallest K point；
6th step, before returning K highest classifications of the frequency of occurrences as criminal offence corresponding to current time whether there is or not it is pre-
Survey classification；
7th step is predicted according to the criminal offence of the presence or absence of current slot: when being predicted as criminal offence, then the frame of video monitoring
Frequently constant；When being predicted as doli incapax, then the frame per second of video monitoring is reduced, saves memory space.
2. a kind of video monitoring method of adjustment as described in claim 1, which is characterized in that in the 7th step, reduce video monitoring
Frame per second method are as follows: call function obtain a frame image will be from memory if current slot has been predicted as criminal offence
The image of middle reading all dumps in hard disk；If current slot is predicted as doli incapax, will be read from memory
Image by setting ratio abandon.
3. a kind of video monitoring method of adjustment as claimed in claim 1 or 2, which is characterized in that the video monitoring adjustment
Method realizes that the building video monitoring system includes image data acquiring module, processing using building video monitoring system
Control module, ethernet controller and Cloud Server；Using microprocessor as processing and control module, camera is as video figure
As data acquisition module, microprocessor respectively with image data acquiring module, processing and control module, memory, hard disk, ether network control
Device interconnection processed；Ethernet controller will be connected by Internet with Cloud Server.
4. a kind of video monitoring method of adjustment as claimed in claim 3, which is characterized in that the building video monitoring system
Driver needed for transplanting linux operating system and transplanting camera, ethernet controller in microprocessor.
5. a kind of video monitoring method of adjustment as claimed in claim 3, which is characterized in that the building video monitoring system
ARM is used in microprocessor.
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Cited By (1)
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