CN110057296A - Monitoring method is measured based on the indoor slope model test local displacement that frame per second is extracted - Google Patents
Monitoring method is measured based on the indoor slope model test local displacement that frame per second is extracted Download PDFInfo
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- CN110057296A CN110057296A CN201910289298.5A CN201910289298A CN110057296A CN 110057296 A CN110057296 A CN 110057296A CN 201910289298 A CN201910289298 A CN 201910289298A CN 110057296 A CN110057296 A CN 110057296A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- 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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- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
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Abstract
The invention discloses a kind of indoor slope model test local displacements extracted based on frame per second to measure monitoring method, uploaded including alignment, video acquisition, video, video handles four steps, the boundary position of the picture presented in computer by video camera and its alignment in physical location determine ratio corresponding to pixel in actual range and camera image；Then by extracting position of the center of the image calculation flag point of each frame in camera video in picture element matrix；The distance adduction of each frame position variation, its total displacement is obtained, and obtain its motion profile.The present invention solves the not high technical problem of the existing insufficient and large-scale monitoring device relevance grade in small indoor slope model test of small-sized measuring device precision.
Description
Technical field
The present invention relates to the indoor slope model test local displacements in image analysis to measure monitoring more particularly to a kind of base
Monitoring method is measured in the indoor slope model test local displacement that frame per second is extracted.
Background technique
Indoor slope model test is particularly significant for the monitoring of In Situ Displacement of Slope, the monitoring for the side displacement that especially comes down
There is great directive significance for landslide experiment.
Some traditional monitoring devices such as level, total station etc. are often not suitable for the displacement prison of indoor small Landslide Model
It surveys, and its precision is extremely limited；Some displacement monitorings based on High Precision Monitor system, monitoring device volume is excessive, cost
It is higher, and professional is needed to operate, it is not high for the relevance grade of general indoor small slope model test.
Summary of the invention
Goal of the invention: against the above technical problems, the present invention provides a kind of indoor Landslide Model examination extracted based on frame per second
Test local displacement measurement monitoring method, the invention by monitoring device to indoor slope model test local displacement be monitored with
Measurement, and then realize the high precision position shift measurement to indoor slope model test.
Technical solution: monitoring method of the present invention includes:
Step 1, it is aligned；
Step 2, video acquisition；
Step 3, video uploads；
Step 4, video data is handled.
The alignment procedure of step 1 boundary position of picture is presented by video camera and its in Landslide Model reality in computer
Border aligned in position determines ratio corresponding to pixel in actual range and camera image；Then by extracting camera video
In each frame position of the image calculation flag dot center in picture element matrix.
For the video acquisition and upload procedure of indoor slope model test local displacement measurement monitoring method, essence is selected
Degree is that the video camera of 60 frame per second to 120 frames is shot in slope model test device side, and passes through Python program reality
When video is passed to computer.
Video processing procedure in step 4, data handling procedure the following steps are included:
Step 4.1: each frame image zooming-out in video being come out, and corresponding according to image pixel matrix in alignment procedure
Actual range assignment into the image extracted；
Step 4.2: by the profile (index point is red circular sphere) of red object in identification image come distinguishing mark
The profile of point；
Step 4.3: calculating position of the profile central point extracted in picture element matrix, and store；
Step 4.4: repeating step 4.1~4.3, calculate central point in the position of the second frame image, pass through trigonometric function meter
Calculate the shift length of itself and central point in first frame image；
Step 4.5: it is cumulative by what is be displaced between each frame, the final mean annual increment movement of index point movement is calculated.
Step 4.6: its motion profile is obtained by the position of central point each frame in video.
In step 4, the displacement of itself and the central point in first frame image is calculated by trigonometric function.
Monitoring method is measured suitable for indoor slope model test local displacement, characteristic and precision are suitable for indoor sliding
The monitoring of slope model test.Its precision measures index point most to indoor landslide test model local displacement is monitored by camera position
The 0.01% of big distance, wherein maximum distance is 10m, and it is 1.00mm that maximum displacement, which monitors error,.
The utility model has the advantages that compared with prior art, it is insufficient and large-scale that the present invention solves existing small-sized measuring device precision
The monitoring device not high technical problem of relevance grade in slope model test indoors.
Detailed description of the invention
Fig. 1 is the overall construction drawing of monitoring method of the present invention；
Fig. 2 is the flow chart of method for processing video frequency of the present invention；
Fig. 3 is the slope model test local displacement tendency chart of one embodiment of the invention.
Specific embodiment
As shown in Figure 1, monitoring method of the invention includes:
Step 1, it is aligned；
Step 2, video acquisition；
Step 3, video uploads；
Step 4, video is handled.
Firstly, carrying out registration process；Then the acquisition and upload of video are carried out；It is handled finally by video and calculates its position
Move and show its motion profile.Detailed process is in the alignment procedure in step 1, to be presented in computer by video camera
The boundary position of picture and its ratio corresponding to pixel in actual range and camera image is determined in the alignment of physical location
Example；Then by extracting position of each frame image calculation flag central point in picture element matrix in camera video；Each
The distance of frame position variation is added, its available total displacement, to obtain its motion profile.
It is that the video camera of 60 frame per second is shot in experimental provision side that precision is selected in step 2, in the present embodiment.
In step 3, the video shot in step 2 is passed in real time by computer by Python program.
As shown in Fig. 2, in monitoring method of the present invention most important part be step 4 video processing, step 4 include with
Lower step:
Step 4.1: each frame image zooming-out in video being come out, and corresponding according to image pixel matrix in alignment procedure
Actual range assignment in the image extracted；
Step 4.2: by the profile (index point is red circular sphere) of red object in identification image come distinguishing mark
The profile of point；
Step 4.3: calculating position of the profile central point extracted in picture element matrix, and store；
Step 4.4: repeating step 4.1~4.3, calculate central point in the position of the second frame image, pass through trigonometric function meter
Calculate the displacement of itself and the central point in first frame image；
Step 4.5: it is cumulative by what is be displaced between each frame, the final displacement of index point is calculated；
Step 4.6: its motion profile is obtained by the position of central point each frame in video.
Thus the shift length and its motion profile of index point in indoor slope model test can be obtained.Below by one
A example is further described:
Selecting precision is the video camera of 60 frame per second, is carried out to accumulation body slope model test side indoor under condition of raining
Local displacement variation shooting, wherein for camera position away from monitoring identification point position 5.00m, choosing displacement and measuring video length is 30
Second, the video of shooting is passed in real time by computer by Python program；Each frame image in video is extracted, 3600 frames are amounted to,
Every 40 frame image selection, 1 frame image, the actual range assignment for carrying out each frame image is extracted, and passes through each frame picture displacement
It is cumulative, it is as shown in Figure 3 that the final displacement tendency chart of index point is calculated.As seen from the figure, the measurement accuracy phase in the present embodiment
Compare other monitoring devices to greatly improve, can be widely applied to the measurement monitoring of all kinds of indoor slope model test local displacements,
It is with a wide range of applications.
Claims (7)
1. a kind of indoor slope model test local displacement extracted based on frame per second measures monitoring method, it is characterised in that: including
Following steps:
Step (1), alignment；
Step (2), video acquisition；
Step (3), video upload；
Step (4), video data processing.
2. the indoor slope model test local displacement according to claim 1 extracted based on frame per second measures monitoring method,
It is characterized by: in step (1), the picture boundaries position that is presented in computer by video camera and its in the alignment of physical location
To determine ratio corresponding to pixel in actual range and camera image；Then by extracting each frame in camera video
Position of the center of image calculation flag point in picture element matrix.
3. the indoor slope model test local displacement according to claim 1 extracted based on frame per second measures monitoring method,
It is characterized by: selecting precision is that the video camera of 60 frame per second to 120 frames is shot in experimental provision side in step (2).
4. the indoor slope model test local displacement according to claim 3 extracted based on frame per second measures monitoring method,
It is characterized by: video is passed to computer in real time by Python program in step (3).
5. the indoor slope model test local displacement according to claim 1 extracted based on frame per second measures monitoring method,
It is characterized by: in step (4), the data handling procedure the following steps are included:
Step (4.1) comes out each frame image zooming-out in video, and corresponding according to image pixel matrix in alignment procedure
Actual range assignment is in the image extracted；
Step (4.2), by the profile of red object in identification image come the profile of distinguishing mark point；
Step (4.3) calculates position of the profile central point extracted in picture element matrix, and stores；
Step (4.4) repeats step (4.1)~(4.3), calculates central point in the position of the second frame image, calculates itself and first
The displacement of central point in frame image；
Step (4.5), it is cumulative by what is be displaced between each frame, the final displacement of index point is calculated；
Step (4.6): its motion profile is obtained by the position of central point each frame in video.
6. the indoor slope model test local displacement according to claim 5 extracted based on frame per second measures monitoring method,
It is characterized by: calculating the displacement of itself and the central point in first frame image by trigonometric function in step (4.4).
7. the indoor slope model test local displacement according to claim 1 extracted based on frame per second measures monitoring method,
It is characterized by: the precision of the monitoring method, using indoor slope model test monitoring accuracy, the precision is position for video camera
It sets to monitoring the 0.01% of indoor landslide test model local displacement measurement index point maximum distance, wherein maximum distance is
10m, it is 1.00mm that maximum displacement, which monitors error,.
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| JP2003187348A (en) * | 2001-12-21 | 2003-07-04 | Nippon Telegr & Teleph Corp <Ntt> | Monitoring device and method for using the monitoring device in daytime |
| CN1584542A (en) * | 2004-05-28 | 2005-02-23 | 中国科学院力学研究所 | Analogic testing device for water induced landslide and method for monitoring shift of land top surface |
| CN101033962A (en) * | 2007-02-12 | 2007-09-12 | 三峡大学 | Measurement method and device for displacement of model experiment based on optics |
| US20110298655A1 (en) * | 2010-06-07 | 2011-12-08 | ELLEGI S.r.l.. | Synthetic-aperture radar system and operating method for monitoring ground and structure displacements suitable for emergency conditions |
| CN102331489A (en) * | 2011-07-19 | 2012-01-25 | 中国科学院力学研究所 | System for testing physical model for large-scale landslides under action of multiple factors |
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Application publication date: 20190726 |