CN109815898A - Urban district monitoring image acquisition and storage method and system - Google Patents
Urban district monitoring image acquisition and storage method and system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 204
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- 230000037430 deletion Effects 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 26
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Abstract
The present invention relates to the technical fields of Image Acquisition, storage transmission method and system are acquired more particularly, to a kind of urban district monitoring image, the urban district monitoring image acquisition and storage method includes: step S10: obtaining urban district monitoring video in real time, and the monitoring video is classified according to the geographical location in the urban district；Step S20: every a time cycle, judging whether there is motion change in the monitoring video of every one kind, obtaining judging result；Step S30: if the judging result is the presence of continuous several frame monitoring image without motion variations, the monitoring image of without motion variation is obtained in the monitoring video；Step S40: the monitoring image that without motion changes is deleted from corresponding monitoring video, and the monitoring video after deletion is stored into corresponding database.The present invention has the storage organization of optimization monitor video, and the effect of data efficiency is read in optimization.
Description
Technical field
The present invention relates to the technical fields of Image Acquisition, acquire storage transmission side more particularly, to a kind of urban district monitoring image
Method and system.
Background technique
Currently, monitoring camera can be disposed to fill by road in urban district or important place, such as financial transaction place etc.
It sets, in real time to being monitored in urban district, and the video recording of monitoring is transferred to monitor supervision platform.And after time period, it will supervise
The video recording of control is stored, and is checked convenient for subsequent calls.
Due to can all there is a large amount of monitor video data to need to store daily, however the space stored is limited, to limit
The quantity of the monitor video of storage, and when calling monitor video, can have an impact to the efficiency for reading data, therefore exist and improve
Space.
Summary of the invention
The object of the present invention is to provide a kind of storage organization for optimizing monitor video, the urban district prison of data efficiency is read in optimization
Control Image Acquisition storage method and system.
Foregoing invention purpose one of the invention has the technical scheme that
A kind of urban district monitoring image acquisition and storage method, stating urban district monitoring image acquisition and storage method includes:
Step S10: urban district monitoring video is obtained in real time, and the monitoring video is classified according to the geographical location in the urban district；
Step S20: every a time cycle, judging whether there is motion change in the monitoring video of every one kind, obtaining
To judging result；
Step S30: if the judging result is the presence of continuous several frame monitoring image without motion variations, in the monitoring video
The middle monitoring image for obtaining without motion variation；
Step S40: the monitoring image that without motion changes is deleted from corresponding monitoring video, and will be described in after deletion
Monitoring video is stored into corresponding database.
By using above-mentioned technical proposal, judge whether there is motion change in monitoring video, is judging no motion change
Afterwards, the monitoring image of not motion change is deleted, or is merged into a monitoring image, it can be in this way, subtracting
Few size that memory space is occupied to monitoring video, to realize the efficiency that data are read in optimization.
The present invention is further arranged to: the step S20 includes:
Step S21: within the time cycle, sub-frame processing is taken to the monitoring video, obtains the monitoring image of each frame；
Step S22: since first frame is with monitoring image described in the second frame, the phase between monitoring image described in adjacent two frame is calculated
Like degree；
Step S23: according to the similarity, determine to whether there is motion change between monitoring image described in adjacent two frame.
By using above-mentioned technical proposal, sub-frame processing is carried out to the monitoring image in the sometime period, and by sentencing
The similarity broken between the monitoring image of adjacent two frame assert the prison of adjacent two frame if the similarity is less than preset range
It controls and motion change is not present between image, deleted or merged convenient for the subsequent monitoring image to not motion change.
The present invention is further arranged to: the step S22 includes:
Step S221: gray proces are done to the monitoring image of adjacent two frame, obtain corresponding gray level image；
Step S222: difference image processing is carried out to the gray level image, obtains corresponding difference value；
Step S223: the corresponding difference value of monitoring image described in adjacent two frame is subtracted each other and takes the absolute of the result after subtracting each other
Value, using the absolute value as the similarity of monitoring image described in adjacent two frame.
Further, the step S222 includes:
Step S2221: the projection process of vertical direction is carried out to difference image；
Step S2222: the projection process of horizontal direction is carried out to difference image.
By using above-mentioned technical proposal, gray proces are carried out to the monitoring image of adjacent two frame, and pass through image of checking the mark
Processing can preferably identify that the monitoring image of adjacent two frame with the presence or absence of motion change, technically realizes optimization and deposits
Space is stored up, so as to accelerate to transfer efficiency when monitoring video.
Foregoing invention purpose one of the invention has the technical scheme that
A kind of urban district monitoring image acquisition and memory system, the urban district monitoring image acquisition and memory system include:
Monitoring video obtains module, for obtaining urban district monitoring video in real time, and will be described according to the geographical location in the urban district
Monitoring video classification；
Judgment module, for being sentenced to whether there is motion change in the monitoring video of every one kind every a time cycle
It is disconnected, obtain judging result；
Monitoring image processing module, if being the presence of continuous several frame monitoring image without motion variations for the judging result,
The monitoring image of without motion variation is obtained in the monitoring video；
Monitoring image memory module, the monitoring image for changing without motion are deleted from corresponding monitoring video, and
The monitoring video after deletion is stored into corresponding database.
By using above-mentioned technical proposal, judge whether there is motion change in monitoring video, is judging no motion change
Afterwards, the monitoring image of not motion change is deleted, or is merged into a monitoring image, it can be in this way, subtracting
Few size that memory space is occupied to monitoring video, to realize the efficiency that data are read in optimization.
In conclusion advantageous effects of the invention are as follows:
Judge whether there is motion change in monitoring video, after judging no motion change, by the monitoring figure of not motion change
Picture is deleted, or is merged into a monitoring image, can occupy memory space to monitoring video in this way, reducing
Size, to realize the efficiency that data are read in optimization.
Detailed description of the invention
Fig. 1 is a flow chart of monitoring image acquisition and storage method in urban district in one embodiment of the invention；
Fig. 2 is the implementation flow chart of step S20 in urban district monitoring image acquisition and storage method in one embodiment of the invention；
Fig. 3 is the implementation flow chart of step S22 in urban district monitoring image acquisition and storage method in one embodiment of the invention；
Fig. 4 is the implementation flow chart of step S222 in urban district monitoring image acquisition and storage method in one embodiment of the invention；
Fig. 5 is a functional block diagram of monitoring image acquisition and memory system in urban district in one embodiment of the invention.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
Embodiment one:
In one embodiment, specific to wrap as shown in Figure 1, being a kind of urban district monitoring image acquisition and storage method disclosed by the invention
Include following steps:
Step S10: urban district monitoring video is obtained in real time, and monitoring video is classified according to the geographical location in urban district.
In the present embodiment, monitoring video refers to the video recording that the monitoring device in urban district takes.
Specifically, according to the geographical location in urban district, urban district is divided, for example, can according to administrative area to urban district into
Row divides, and is divided into the monitoring video in the region of each division according to the division as a result, classify to monitoring video
It is a kind of.
Step S20: every a time cycle, sentence to whether there is motion change in the monitoring video of every one kind
It is disconnected, obtain judging result.
In the present embodiment, since monitoring device persistently shoots monitoring video, and certain periods do not have pedestrian pass through or
Vehicle crosses, thus the monitoring image in monitoring video can not change, therefore becomes the monitoring video of without motion variation.
Specifically, at regular intervals, such as 5 minutes, the monitoring video of every one kind is judged, judges monitoring video
In with the presence or absence of whether there is or not the monitoring images of motion change, obtain corresponding judging result.
Step S30: it if judging result is the presence of continuous several frame monitoring image without motion variations, is obtained in monitoring video
The monitoring image for taking without motion to change.
In the present embodiment, monitoring image refers to each frame picture in monitoring video.
Specifically, judge between each frame picture in monitoring video, check between two frame monitoring images whether
There are motion changes.If judging the two frame monitoring image without motions variation for having adjacent, which is chosen, and to this
Monitoring image is marked.
Step S40: the monitoring image that without motion changes is deleted from corresponding monitoring video, and by the monitoring after deletion
Video recording is stored into corresponding database.
Specifically, will be labeled that monitoring image is deleted from monitoring video, the monitoring video after being deleted, and should
Monitoring video is stored into corresponding database.
In the present embodiment, judge whether there is motion change in monitoring video, after judging no motion change, will not have
The monitoring image of motion change is deleted, or is merged into a monitoring image, can be recorded in this way, reducing to monitoring
As occupying the size of memory space, to realize the efficiency that data are read in optimization.
In one embodiment, the monitoring as shown in Fig. 2, in step S20, i.e., every a time cycle, to every one kind
Judged in video recording with the presence or absence of motion change, obtains judging result, specifically comprise the following steps:
Step S21: within the time cycle, sub-frame processing is taken to monitoring video, obtains the monitoring image of each frame.
Specifically, in the monitoring video in the time cycle, sub-frame processing is carried out to the monitoring video, obtains the time
Each frame monitoring image in the monitoring video of period hiccup.
Step S22: it since first frame and the second frame monitoring image, calculates similar between adjacent two frames monitoring image
Degree.
Specifically, the time sequencing played according to monitoring video is monitored since first frame by calculating two adjacent frames
Similarity between image, to judge between the monitoring image of adjacent two frame with the presence or absence of motion change.
Step S23: according to similarity, determine to whether there is motion change between adjacent two frames monitoring image.
Specifically, if the similarity is less than threshold value, determine between adjacent two frames monitoring image with the presence or absence of motion change.
In an embodiment example, as shown in figure 3, in step S22, i.e., since first frame and the second frame monitoring image,
The similarity between adjacent two frames monitoring image is calculated, is specifically comprised the following steps:
Step S221: gray proces are done to the monitoring image of adjacent two frame, obtain corresponding gray level image.
In the present embodiment, gray proces, which refer to, will acquire the processing that monitoring image adopts volume gray value, i.e., in RGB model
In, if when R=G=B, colour indicates a kind of greyscale color, wherein the value of R=G=B is gray value.
Specifically, when similarity between the monitoring image for judging adjacent two frame, the monitoring image of two frame is carried out
Gray proces absorb a frame gray level image G=f (x, y) every time t.Work as GoldFor sky be first frame when, Gold=G, otherwise
Gnew=G.Such as t=1/4s.Obtain corresponding gray level image.
Step S222: difference image processing is carried out to gray level image, obtains corresponding difference value.
Specifically, difference imageε is threshold value, wherein ε=8 are taken, obtained GdiffIt is one two
It is worth image.To GdiffAfter being handled using a kind of projecting method, obtaining one can be to GnewWith GoldBetween difference judged
Value ε '.
Step S223: subtracting each other and take the absolute value of the result after subtracting each other for the corresponding difference value of adjacent two frames monitoring image,
Using absolute value as the similarity of adjacent two frames monitoring image.
Specifically, the corresponding difference value of adjacent two frames monitoring image is subtracted each other and is taken the absolute value of the result after subtracting each other, it will
Similarity of the absolute value as adjacent two frames monitoring image.
In one embodiment, as shown in figure 4, in step S222, i.e., difference image processing is carried out to gray level image, obtained
Corresponding difference value, specifically comprises the following steps:
Step S2221: the projection process of vertical direction is carried out to difference image.
Observation difference image is worth there are the region of variation and compares concentration for 1 pixel, noise is more dispersed.To y
In the scanning of column from top to bottom, a non-negative column counter n is usedcol, initial value 0, execution operation below:
Work as ncolWhen=0, when the pixel that first value encountering is 1, the position (x of current pixel is write down0, y), if picture is arrived in scanning
Element (x1, y), ncolValue turn again to 0, at this moment just enable (x on y column0, y)) and (x1, y) and the pixel value in section is all 0.This
The purpose that sample is done is the noise removed on column direction.One threshold value n is setmaxIf ncol≥nmaxBecome with regard to illustrating to exist on the column
Change, terminates the scanning of this column, the directly scanning of beginning y+1 column.
Step S2222: the projection process of horizontal direction is carried out to difference image.
Method is identical as upright projection processing.Every row is scanned from left to right, uses non-negative linage-counter nmax。
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Embodiment two:
In one embodiment, a kind of urban district monitoring image acquisition and memory system is provided, the urban district monitoring image acquisition and memory system
It is corresponded with monitoring image acquisition and storage method in urban district in above-described embodiment.As shown in figure 5, urban district monitoring image acquisition is deposited
Storage system includes that monitoring video obtains module 10, judgment module 20, monitoring image processing module 30 and monitoring image memory module
40.Detailed description are as follows for each functional module:
Monitoring video obtains module 10, records monitoring for obtaining urban district monitoring video in real time, and according to the geographical location in urban district
As classification；Judgment module 20, for every a time cycle, in the monitoring video of every one kind with the presence or absence of motion change into
Row judgement, obtains judging result；
Monitoring image processing module 30, if being the presence of continuous several frame monitoring image without motion variations for judging result,
The monitoring image of without motion variation is obtained in monitoring video；
Monitoring image memory module 40, the monitoring image for changing without motion are deleted from corresponding monitoring video, and will
Monitoring video after deletion is stored into corresponding database.
Preferably, judgment module 20 includes:
Framing submodule 21, for taking sub-frame processing to monitoring video, obtaining the monitoring figure of each frame within the time cycle
Picture；Similarity calculation submodule 22, for since first frame and the second frame monitoring image, calculate adjacent two frames monitoring image it
Between similarity；
Judging submodule 23, for determining to whether there is motion change between adjacent two frames monitoring image according to similarity.
Preferably, similarity calculation submodule 22 includes:
Gray scale processing unit 221 does gray proces for the monitoring image to adjacent two frame, obtains corresponding gray level image；
Difference processing unit 222 obtains corresponding difference value for carrying out difference image processing to gray level image；
Similarity acquiring unit 223, for subtracting each other the corresponding difference value of adjacent two frames monitoring image and taking the result after subtracting each other
Absolute value, using absolute value as the similarity of adjacent two frames monitoring image.
Preferably, difference processing unit 222 includes:
Upright projection subelement 2221, for carrying out the projection process of vertical direction to difference image；
Floor projection subelement 2222, for carrying out the projection process of horizontal direction to difference image.
Specific restriction about urban district monitoring image acquisition and memory system may refer to above for urban district monitoring image
The restriction of acquisition and storage method, details are not described herein.Modules in above-mentioned urban district monitoring image acquisition and memory system can be complete
Portion or part are realized by software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independently of calculating
In processor in machine equipment, it can also be stored in a software form in the memory in computer equipment, in order to processor
It calls and executes the corresponding operation of the above modules.
Claims (8)
1. a kind of urban district monitoring image acquisition and storage method, which is characterized in that the urban district monitoring image acquisition and storage method packet
It includes:
Step S10: urban district monitoring video is obtained in real time, and the monitoring video is classified according to the geographical location in the urban district；
Step S20: every a time cycle, judging whether there is motion change in the monitoring video of every one kind, obtaining
To judging result；
Step S30: if the judging result is the presence of continuous several frame monitoring image without motion variations, in the monitoring video
The middle monitoring image for obtaining without motion variation；
Step S40: the monitoring image that without motion changes is deleted from corresponding monitoring video, and will be described in after deletion
Monitoring video is stored into corresponding database.
2. monitoring image acquisition and storage method in urban district as described in claim 1, which is characterized in that the step S20 includes:
Step S21: within the time cycle, sub-frame processing is taken to the monitoring video, obtains the monitoring image of each frame；
Step S22: since first frame is with monitoring image described in the second frame, the phase between monitoring image described in adjacent two frame is calculated
Like degree；
Step S23: according to the similarity, determine to whether there is motion change between monitoring image described in adjacent two frame.
3. monitoring image acquisition and storage method in urban district as claimed in claim 2, which is characterized in that the step S22 includes:
Step S221: gray proces are done to the monitoring image of adjacent two frame, obtain corresponding gray level image；
Step S222: difference image processing is carried out to the gray level image, obtains corresponding difference value；
Step S223: the corresponding difference value of monitoring image described in adjacent two frame is subtracted each other and takes the absolute of the result after subtracting each other
Value, using the absolute value as the similarity of monitoring image described in adjacent two frame.
4. monitoring image acquisition and storage method in urban district as claimed in claim 3, which is characterized in that the step S222 includes:
Step S2221: the projection process of vertical direction is carried out to difference image；
Step S2222: the projection process of horizontal direction is carried out to difference image.
5. a kind of urban district monitoring image acquisition and memory system, which is characterized in that the urban district monitoring image acquisition and memory system packet
It includes:
Monitoring video obtains module, for obtaining urban district monitoring video in real time, and will be described according to the geographical location in the urban district
Monitoring video classification；
Judgment module, for being sentenced to whether there is motion change in the monitoring video of every one kind every a time cycle
It is disconnected, obtain judging result；
Monitoring image processing module, if being the presence of continuous several frame monitoring image without motion variations for the judging result,
The monitoring image of without motion variation is obtained in the monitoring video；
Monitoring image memory module, the monitoring image for changing without motion are deleted from corresponding monitoring video, and
The monitoring video after deletion is stored into corresponding database.
6. monitoring image acquisition and memory system in urban district as claimed in claim 5, which is characterized in that the judgment module includes:
Framing submodule, for taking sub-frame processing to the monitoring video, obtaining the prison of each frame within the time cycle
Control image；
Similarity calculation submodule, for calculating and being supervised described in adjacent two frame since first frame is with monitoring image described in the second frame
Control the similarity between image；
Judging submodule becomes between monitoring image described in adjacent two frame with the presence or absence of movement for determining according to the similarity
Change.
7. monitoring image acquisition and memory system in urban district as claimed in claim 6, which is characterized in that the similarity calculation submodule
Block includes:
Gray scale processing unit does gray proces for the monitoring image to adjacent two frame, obtains corresponding gray level image；
Difference processing unit obtains corresponding difference value for carrying out difference image processing to the gray level image；Similarity obtains
Unit is taken, for subtracting each other the corresponding difference value of monitoring image described in adjacent two frame and taking the absolute of the result after subtracting each other
Value, using the absolute value as the similarity of monitoring image described in adjacent two frame.
8. monitoring image acquisition and memory system in urban district as claimed in claim 7, which is characterized in that the difference processing unit packet
It includes:
Upright projection subelement, for carrying out the projection process of vertical direction to difference image；
Floor projection subelement, for carrying out the projection process of horizontal direction to difference image.
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