CN112650881A - Monitoring data processing method and device and storage medium - Google Patents
Monitoring data processing method and device and storage medium Download PDFInfo
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- CN112650881A CN112650881A CN202011532513.9A CN202011532513A CN112650881A CN 112650881 A CN112650881 A CN 112650881A CN 202011532513 A CN202011532513 A CN 202011532513A CN 112650881 A CN112650881 A CN 112650881A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/71—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/78—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/783—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/7847—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content
- G06F16/785—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using low-level visual features of the video content using colour or luminescence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
Abstract
The application provides a processing method, a device and a storage medium of monitoring data, wherein the method comprises the following steps of; the method comprises the steps that monitoring equipment collects a group of original video data according to displacement setting, wherein the group of original video data comprises n frames of pictures; the monitoring equipment arranges the n frames of pictures in ascending order according to time to obtain a first sequence, and the monitoring equipment carries out similarity processing on the n frames of pictures to obtain a plurality of pictures; the monitoring equipment stores a plurality of pictures according to the sequence numbers and preset configuration to obtain a storage sequence; the monitoring equipment acquires the functional relation between the time of the displacement setting and the column value, stores the plurality of pictures and the functional relation, and extracts the monitoring data from the storage sequence according to the functional relation and the extraction time. The technical scheme provided by the application has the advantage of low cost.
Description
Technical Field
The present application relates to the field of internet monitoring technologies, and in particular, to a method and an apparatus for processing monitoring data, and a storage medium.
Background
The monitoring equipment is common equipment in the existing security field, the existing monitoring equipment is used for storing the video data in the monitoring data center after the video data are collected through the camera, but the requirement of the data storage mode on the storage space is very high, and the storage cost is very high because the data volume of the video data is very large, so that the cost of the existing monitoring data processing method is high.
Disclosure of Invention
The embodiment of the application provides a method and a system for processing monitoring data, which can reduce storage space and cost.
In a first aspect, an embodiment of the present application provides a method for processing monitoring data, where the method is applied to a monitoring device, and the method includes;
the method comprises the steps that monitoring equipment collects a group of original video data according to displacement setting, wherein the group of original video data comprises n frames of pictures;
the monitoring equipment arranges the n frames of pictures in ascending order according to time to obtain a first sequence, and the monitoring equipment carries out similarity processing on the n frames of pictures to obtain a plurality of pictures;
the monitoring equipment stores a plurality of pictures according to the sequence numbers and preset configuration to obtain a storage sequence, wherein the preset configuration specifically comprises the following steps: storing pixel points of the picture according to the sequence of first column and second row;
the monitoring equipment acquires the functional relation between the time of the displacement setting and the column value, stores the plurality of pictures and the functional relation, and extracts the monitoring data from the storage sequence according to the functional relation and the extraction time;
n is not less than 100, and n is an integer.
In a second aspect, there is provided a processing apparatus for monitoring data, the apparatus being applied to a monitoring device, the apparatus comprising;
the system comprises a collecting unit, a processing unit and a processing unit, wherein the collecting unit is used for collecting a group of original video data according to displacement setting, and the group of original video data comprises n frames of pictures;
the monitoring device is used for processing the similarity of the n frames of pictures to obtain a plurality of pictures; storing the plurality of pictures according to the sequence numbers and a preset configuration to obtain a storage sequence, wherein the preset configuration specifically comprises the following steps: storing pixel points of the picture according to the sequence of first column and second row; acquiring a functional relation between the time of the displacement setting and the column value, storing the plurality of pictures and the functional relation, and extracting monitoring data from a storage sequence by the monitoring equipment according to the functional relation and the extraction time;
n is not less than 100, and n is an integer.
In a third aspect, a computer-readable storage medium is provided, which stores a program for electronic data exchange, wherein the program causes a terminal to execute the method provided in the first aspect.
The embodiment of the application has the following beneficial effects:
it can be seen that, according to the technical scheme provided by the application, a monitoring device collects a set of original video data according to displacement setting, the set of original video data includes n frames of pictures, the monitoring device arranges the n frames of pictures in ascending order of time to obtain a first sequence, the monitoring device performs similarity processing on the n frames of pictures to obtain a plurality of pictures, the monitoring device stores the plurality of pictures according to sequence numbers and preset configuration, and the preset configuration specifically includes: storing pixel points of the picture according to the sequence of first column and second row; and the monitoring equipment acquires the functional relation between the time of the displacement setting and the column value, and stores the plurality of pictures and the functional relation, wherein the functional relation is used for extracting the monitoring data from the storage sequence according to the time. The storage sequence only stores the pictures without the same content in the n frames of pictures, so that the number of stored pictures is reduced, and the storage space is saved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a monitoring device.
Fig. 2 is a flow chart illustrating a method of processing monitoring data.
Fig. 3 is a schematic diagram of an α × β × 3 matrix provided in an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 provides a monitoring device, which may specifically include: the processor, the memory and the camera may be connected by a bus, or may be connected by other methods, and the present application does not limit the specific connection manner. In practical applications, the monitoring device may also add other components, such as audio components (microphones) or communication components (e.g. antennas, etc.).
Referring to fig. 2, fig. 2 provides a method of processing monitoring data, which may be performed in a monitoring device,
step S201, collecting a group of original video data by monitoring equipment according to displacement setting, wherein the group of original video data comprises n frames of pictures;
the displacement setting can be a rotation angle, a horizontal displacement or a vertical displacement, and the like.
Step S202, the monitoring equipment arranges the n frames of pictures according to the ascending order of time to obtain a first sequence,
s203, carrying out similarity processing on the n frames of pictures by the monitoring equipment to obtain a plurality of pictures;
the implementation method of step S203 may specifically include:
the monitoring equipment extracts a first picture of a first sequence, compares the subsequent x1 pictures of the first picture in the first sequence with the first picture according to the sequence of the first sequence to determine whether the first picture contains partial content, finds out the i1 picture which does not contain all the content of the first picture for the first time from the x1 pictures, and deletes the intermediate pictures between the first picture and the i1 picture; the monitoring equipment extracts the subsequent x2 pictures of the i1 picture, compares the subsequent x2 pictures with the i1 picture according to the book order of the first sequence to determine whether the subsequent x2 pictures contain partial content of the i2 picture, searches an i2 picture which does not contain all content of the i1 picture for the first time from the x2 pictures, and deletes the intermediate picture between the i1 picture and the i2 picture; repeating the operation until the extraction of the n frames of pictures is finished to obtain a plurality of processed pictures, wherein the plurality of processed pictures comprise: the undeleted pictures, i.e., the first picture, the i1 th picture, the i2 th picture … nth picture.
The above 1 < i1 < i2 < n, wherein i1, i2, x1 and x2 are integers, and n is an integer of 100 or more;
i1＜x1＜n，(i2-i1)＜x2＜n。
step S204, the monitoring device stores the multiple pictures according to the sequence numbers and a preset configuration to obtain a storage sequence, where the preset configuration specifically includes: storing pixel points of the picture according to the sequence of first column and second row;
step S205, the monitoring device obtains a functional relationship between the time of the displacement setting and the column value, stores the plurality of pictures and the functional relationship, and the monitoring device extracts the monitoring data from the storage sequence according to the functional relationship and the extraction time.
The technical scheme that the monitoring equipment provided by the application collects a set of original video data according to the displacement setting, the set of original video data comprises n frames of pictures, the monitoring equipment arranges the n frames of pictures according to the ascending order of time to obtain a first sequence, the monitoring equipment carries out similarity processing on the n frames of pictures to obtain a plurality of pictures, the monitoring equipment stores the plurality of pictures according to the sequence number and preset configuration, and the preset configuration specifically can comprise: storing pixel points of the picture according to the sequence of first column and second row; and the monitoring equipment acquires the functional relation between the time of the displacement setting and the column value, and stores the plurality of pictures and the functional relation, wherein the functional relation is used for extracting the monitoring data from the storage sequence according to the time. The storage sequence only stores the pictures without the same content in the n frames of pictures, so that the number of stored pictures is reduced, and the storage space is saved.
In an optional scheme, the acquiring, by the monitoring device, a functional relationship between the time of the displacement setting and the column value may specifically include:
the method includes the steps that the monitoring device obtains a collecting time T0 of a first picture and a collecting time Ti1 of an i1 th picture, a pixel point column numerical value L0 of the first picture stored in a sequence of a first column and a second row and a pixel point column numerical value Li1 of the i1 th picture are determined, and if L0 is Li1 (most monitoring devices collect videos, pixels of each frame are the same), the determining of a functional relationship between the time of the displacement setting and the column value may specifically include:
F(t)＝2*L0/(Ti1-T0)。
in an optional scheme, the extracting, by the monitoring device, the monitoring data from the stored sequence according to the functional relationship and the extraction time specifically includes:
determining the time tx to be extracted, calculating to obtain the value of F (tx), extracting [ F (tx), and determining the pixel points of the F (tx) -1+ L0] columns as the picture corresponding to the tx.
According to the scheme, the first column of pixel points of the picture corresponding to the tx are calculated through a function, and then the first column of pixel points is stored according to the number of columns contained in the picture, because each frame of pixel points are identical and stored in a first column and second row mode, the value of the pixel point corresponding to the tx can be directly extracted through the first column of pixel points, and the picture corresponding to the tx is obtained.
In an optional scheme, to further reduce the amount of stored data, the method may further include:
performing grid operation on the first picture to obtain operation data, and storing the operation data; the grid operation may specifically include: establishing grids (similar to grids in VISO drawing, namely a plurality of square grids with consistent area size) for a first picture, calculating the similarity between every two grids (with consistent area size), determining the grids with the similarity larger than a similarity threshold as a similar grid group, setting a bitmap to represent the position of the similar grid group in one picture, storing pixel data of one grid in the similar grid group, and deleting the pixel data of the rest grid group to finish the grid operation of one picture. The calculation method of the similarity may specifically include: establishing a three-dimensional matrix alpha beta 3 according to R, G, B values of pixel points of each grid and positions of the pixel points in the grids, wherein alpha represents a length value of the three-dimensional matrix, beta represents a width value of the three-dimensional matrix, 3 represents a depth value, each depth corresponds to a value R, G, B (specifically shown in fig. 3), calculating differences of the 2 three-dimensional matrices of the two grids to obtain a three-dimensional difference matrix, counting the number x of element values smaller than a numerical threshold in the three-dimensional difference matrix, and setting the similarity as x/(alpha beta 3) × 100%. It should be noted that after storage, when extracting, the first picture needs to be restored first to extract the corresponding picture at time tx.
Referring to fig. 3, as shown in fig. 3, since the picture is gridded, the area of each grid is the same, so the number of the pixel points of each grid is completely the same, that is, α × β pixels, if α × β is a square grid, the value corresponding to the α × β 3 matrix shown in fig. 3 can be determined according to the serial number of the pixel in the grid, for example, the first pixel in the upper left corner of the grid, the width value is 1, the length value is 1, the R value corresponds to the first box of the α × β 3 matrix (as shown in fig. 3, one box represents the R, G, B median value of one pixel, i.e., one element value of the matrix, as shown in black), the G value corresponds to the other box of the α × β 3 matrix (as shown in dark gray), and the B value corresponds to the other square (as shown in light gray), so that each box can be matrixed.
The application also provides a processing device of the monitoring data, which is applied to monitoring equipment and comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring the monitoring data;
the system comprises a collecting unit, a processing unit and a processing unit, wherein the collecting unit is used for collecting a group of original video data according to displacement setting, and the group of original video data comprises n frames of pictures;
the monitoring device is used for processing the similarity of the n frames of pictures to obtain a plurality of pictures; storing the plurality of pictures according to the sequence numbers and a preset configuration to obtain a storage sequence, wherein the preset configuration specifically comprises the following steps: storing pixel points of the picture according to the sequence of first column and second row; acquiring a functional relation between the time of the displacement setting and the column value, storing the plurality of pictures and the functional relation, and extracting monitoring data from a storage sequence by the monitoring equipment according to the functional relation and the extraction time;
n is not less than 100, and n is an integer.
The processing unit of the provided processing device of the monitoring data of the present application may also be used to implement the refinement of the embodiment as shown in fig. 2.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods as recited in the above method embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are exemplary embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (6)
1. A processing method of monitoring data is applied to monitoring equipment, and the method comprises the following steps of;
the method comprises the steps that monitoring equipment collects a group of original video data according to displacement setting, wherein the group of original video data comprises n frames of pictures;
the monitoring equipment arranges the n frames of pictures in ascending order according to time to obtain a first sequence, and the monitoring equipment carries out similarity processing on the n frames of pictures to obtain a plurality of pictures;
the monitoring equipment stores a plurality of pictures according to the sequence numbers and preset configuration to obtain a storage sequence, wherein the preset configuration specifically comprises the following steps: storing pixel points of the picture according to the sequence of first column and second row;
the monitoring equipment acquires the functional relation between the time of the displacement setting and the column value, stores the plurality of pictures and the functional relation, and extracts the monitoring data from the storage sequence according to the functional relation and the extraction time;
n is not less than 100, and n is an integer.
2. The method according to claim 1, wherein the performing, by the monitoring device, the similarity processing on the n frames of pictures to obtain the plurality of pictures specifically includes:
the monitoring equipment extracts a first picture of a first sequence, compares the subsequent x1 pictures of the first picture in the first sequence with the first picture according to the sequence of the first sequence to determine whether the first picture contains partial content, finds out the i1 picture which does not contain all the content of the first picture for the first time from the x1 pictures, and deletes the intermediate pictures between the first picture and the i1 picture; the monitoring equipment extracts the subsequent x2 pictures of the i1 picture, compares the subsequent x2 pictures with the i1 picture according to the book order of the first sequence to determine whether the subsequent x2 pictures contain partial content of the i2 picture, searches an i2 picture which does not contain all content of the i1 picture for the first time from the x2 pictures, and deletes the intermediate picture between the i1 picture and the i2 picture; repeating the operation until the extraction of the n frames of pictures is finished to obtain a plurality of processed pictures, wherein the plurality of processed pictures comprise: pictures that are not deleted;
the above 1 < i1 < i2 < n, wherein i1, i2, x1 and x2 are integers, and n is an integer of 100 or more;
i1＜x1＜n，(i2-i1)＜x2＜n。
3. the method according to claim 1, wherein the monitoring device obtaining the functional relationship between the time of the displacement setting and the column value specifically comprises:
the method includes the steps that the monitoring equipment acquires acquisition time T0 of a first picture and acquisition time Ti1 of an i1 th picture, pixel point column numerical values L0 of the first picture and pixel point column numerical values Li1 of the i1 th picture, which are stored in sequence of first column and last row, are determined, and if L0 is Li1 (most monitoring equipment has the same pixel point in each frame when acquiring videos), the step of determining the functional relationship between the time of displacement setting and the column values specifically includes the steps of:
F(t)＝2*L0/(Ti1-T0)。
4. the method of claim 3, wherein the extracting, by the monitoring device, the monitoring data from the stored sequence based on the functional relationship and the extraction time specifically comprises:
determining the time tx to be extracted, calculating to obtain the value of F (tx), extracting [ F (tx), and determining the pixel points of the F (tx) -1+ L0] columns as the picture corresponding to the tx.
5. A processing apparatus for monitoring data, the apparatus being applied to a monitoring device, the apparatus comprising;
the system comprises a collecting unit, a processing unit and a processing unit, wherein the collecting unit is used for collecting a group of original video data according to displacement setting, and the group of original video data comprises n frames of pictures;
the monitoring device is used for processing the similarity of the n frames of pictures to obtain a plurality of pictures; storing the plurality of pictures according to the sequence numbers and a preset configuration to obtain a storage sequence, wherein the preset configuration specifically comprises the following steps: storing pixel points of the picture according to the sequence of first column and second row; acquiring a functional relation between the time of the displacement setting and the column value, storing the plurality of pictures and the functional relation, and extracting monitoring data from a storage sequence by the monitoring equipment according to the functional relation and the extraction time;
n is not less than 100, and n is an integer.
6. A computer-readable storage medium storing a program for electronic data exchange, wherein the program causes a terminal to execute the method according to any one of claims 1 to 4.
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