CN109302580A - A kind of aircraft disengaging berth automatic testing method based on video monitoring - Google Patents
A kind of aircraft disengaging berth automatic testing method based on video monitoring Download PDFInfo
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- CN109302580A CN109302580A CN201811048478.6A CN201811048478A CN109302580A CN 109302580 A CN109302580 A CN 109302580A CN 201811048478 A CN201811048478 A CN 201811048478A CN 109302580 A CN109302580 A CN 109302580A
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- aircraft
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- video monitoring
- testing method
- automatic testing
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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
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/144—Movement detection
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention belongs to technical field of video monitoring, berth automatic testing method is passed in and out more particularly to a kind of aircraft based on video monitoring, including video monitoring system, the video monitoring system includes monitoring center, video analytics server, data acquisition is carried out to more front ends, data processing and data are shown, the aircraft disengaging berth automatic testing method based on video monitoring includes the following steps: airplane motion detection and aircraft state detection, overcome the deficiencies in the prior art, utilize computer picture Visual analysis techniques, by acquiring front-end camera information, background in scene (airport) and target (aircraft or other moving objects) are separated and then analyze the concrete behavior of specific objective (aircraft) by system；It can accurately differentiate the behavior (push-in releases berth) of aircraft, and automatically by data inputting server-side management system.
Description
Technical field
The invention belongs to technical field of video monitoring, and in particular to a kind of aircraft disengaging berth based on video monitoring is automatic
Detection method.
Background technique
The development of civil aviaton of China service business was very rapid in recent years, was pushed away based on the manually recorded airport aircraft of support personnel
The management mode for entering, releasing berth has increasingly been not suitable with the demand in market, manually recorded easy misdescription, error of omission, and after finding not
It is traceable to check and verify.With the rapid development of computer intellectual technology, artificial intelligence analysis's management mode is also come into being therewith.Just
It is using computer picture Visual analysis techniques, by by background in scene (airport) and target (aircraft or other moving objects)
Separate and then analyze the concrete behavior of specific objective (aircraft).It can accurately differentiate the behavior (push-in releases berth) of aircraft, and
Automatically by data inputting server-side management system.And there is presently no add the algorithm of template matching to use exclusively with motion detection
In the aircraft behavioral value of Commercial Air Service.
Summary of the invention
The purpose of the present invention is to provide a kind of, and the aircraft based on video monitoring passes in and out berth automatic testing method, overcomes
The deficiencies in the prior art, using computer picture Visual analysis techniques, by acquiring front-end camera information, system will be in scene
Background (airport) and target (aircraft or other moving objects) separate and then analyze the concrete behavior of specific objective (aircraft)；It can be with
The accurate behavior (push-in releases berth) for differentiating aircraft, and automatically by data inputting server-side management system.
To solve the above problems, the technical solution used in the present invention is as follows:
A kind of aircraft disengaging berth automatic testing method based on video monitoring, including video monitoring system, the video monitoring
System includes monitoring center, video analytics server, carries out data acquisition, data processing and data to more front ends and shows；
The aircraft disengaging berth automatic testing method based on video monitoring includes the following steps:
(1) airplane motion detects
The boundary rectangle frame of aircraft profile is obtained by operations such as MOG2 algorithm, gaussian filtering, morphology；
(2) aircraft state detects
Steps are as follows:
A, each frame judges that boundary rectangle frame area accounts for the certain threshold value of interface drawing area area, and default has big object to enter runway
Range, from adding 1, continuous each frame all meets flag bit；
B, after step a meets, record aircraft continuously moves the aggregate-value n of pixel；
C, aircraft stops head detection frame and drawing area phase and acquisition intersecting area, it is ensured that small frame is inside big frame；
D, record phase and total pixel value m2 in region；
E, when m2 accounts for the certain area of the total pixel of small frame or more, from adding 1, continuous each frame all meets for trigger flag position；
F, n meets n and is equal to when drawing the total pixel certain percentage of frame, records the total pixel value m1 of airplane motion rectangle frame at this time,
Judgment criteria when stopping as aircraft；
G, when n is greater than drawing area total pixel certain value, the total pixel value m of airplane motion rectangle frame detection block is recorded；
H, the position for starting airplane motion rectangle frame in a period of time is recorded；
I, when m is less than certain percentage m1, it is believed that aircraft is mobile to be stopped；
J, judge on the basis of step i: 1. airplane motion frame positions and lqrect phase with and mutually with area to account for the gross area certain
More than percentage, successive frame all meets then fjstate=1, show that aircraft is leave state planestate=2；2. working as flag bit
When big Mr. Yu's numerical value (default) and the big Mr. Yu's numerical value in trigger flag position, obtain aircraft for arrival state planestate=1；3.
When the small Mr. Yu's numerical value of flag bit or the small Mr. Yu's numerical value in trigger flag position, aircraft is that aircraft does not go out present condition planestate=3.
Further, the video analytics server is connected by LAN/Internet with monitoring center.
Further, the front end multichannel video camera is fixed wide angle cameras, passes through interchanger and video analytics server
It is connected, carries out signal acquisition, completes video decoding.
Further, it is added in template samples picture in each framing of drawing area；According to planestate numerical value
Template matching is carried out, matching result preserves；When adaptation function calculates matching degree small Mr. Yu's coefficient, current region and mould are judged
Plate mismatches, and is judged as that aircraft enters the region at this time, while call back function being called to notify interface；Airport is similar in order to prevent
Truck is by drawing area and does not stop and false triggering detection function function logics, and spy is by the way of template matching.
The present invention compared with prior art, has the advantages that
A kind of aircraft based on video monitoring of the present invention passes in and out berth automatic testing method, utilizes computer picture vision point
Analysis technology, by acquiring front-end camera information, system is by background in scene (airport) and target (aircraft or other moving objects
Body) separate the concrete behavior for analyzing specific objective (aircraft) in turn；It can accurately differentiate the behavior (push-in releases berth) of aircraft,
And automatically by data inputting server-side management system.
Detailed description of the invention
Fig. 1 is a kind of system schematic that the aircraft disengaging berth based on video monitoring is detected automatically.
Fig. 2 is a kind of logical schematic that the aircraft disengaging berth based on video monitoring is detected automatically.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown, a kind of aircraft based on video monitoring of the present invention passes in and out berth automatic testing method, including view
Frequency monitoring system, the video monitoring system include monitoring center, video analytics server, to more front ends carry out data acquisition,
Data processing and data are shown；
The aircraft disengaging berth automatic testing method based on video monitoring includes the following steps:
(1) airplane motion detects
The boundary rectangle frame of aircraft profile is obtained by operations such as MOG2 algorithm, gaussian filtering, morphology；
(2) aircraft state detects
Steps are as follows:
A, each frame judges that boundary rectangle frame area accounts for the certain threshold value of interface drawing area area, and default has big object to enter runway
Range, from adding 1, continuous each frame all meets flag bit；
B, after step a meets, record aircraft continuously moves the aggregate-value n of pixel；
C, aircraft stops head detection frame and drawing area phase and acquisition intersecting area, it is ensured that small frame is inside big frame；
D, record phase and total pixel value m2 in region；
E, when m2 accounts for the certain area of the total pixel of small frame or more, from adding 1, continuous each frame all meets for trigger flag position；
F, n meets n and is equal to when drawing the total pixel certain percentage of frame, records the total pixel value m1 of airplane motion rectangle frame at this time,
Judgment criteria when stopping as aircraft；
G, when n is greater than drawing area total pixel certain value, the total pixel value m of airplane motion rectangle frame detection block is recorded；
H, the position for starting airplane motion rectangle frame in a period of time is recorded；
I, when m is less than certain percentage m1, it is believed that aircraft is mobile to be stopped；
J, judge on the basis of step i: 1. airplane motion frame positions and lqrect phase with and mutually with area to account for the gross area certain
More than percentage, successive frame all meets then fjstate=1, show that aircraft is leave state planestate=2；2. working as flag bit
When big Mr. Yu's numerical value (default) and the big Mr. Yu's numerical value in trigger flag position, obtain aircraft for arrival state planestate=1；3.
When the small Mr. Yu's numerical value of flag bit or the small Mr. Yu's numerical value in trigger flag position, aircraft is that aircraft does not go out present condition planestate=3.
Further, the video analytics server is connected by LAN/Internet with monitoring center.
Further, the front end multichannel video camera is fixed wide angle cameras, passes through interchanger and video analytics server
It is connected, carries out signal acquisition, completes video decoding.
Further, it is added in template samples picture in each framing of drawing area；According to planestate numerical value
Template matching is carried out, matching result preserves；When adaptation function calculates matching degree small Mr. Yu's coefficient, current region and mould are judged
Plate mismatches, and is judged as that aircraft enters the region at this time, while call back function being called to notify interface；Airport is similar in order to prevent
Truck is by drawing area and does not stop and false triggering detection function function logics, and spy is by the way of template matching.
It is obvious to a person skilled in the art that invention is not limited to the details of the above exemplary embodiments, Er Qie
In the case where without departing substantially from spirit or essential attributes of the invention, the present invention can be realized in other specific forms.Therefore, no matter
From the point of view of which point, the present embodiments are to be considered as illustrative and not restrictive, and the scope of the present invention is by appended power
Benefit requires rather than above description limits, it is intended that all by what is fallen within the meaning and scope of the equivalent elements of the claims
Variation is included within the present invention.Any reference signs in the claims should not be construed as limiting the involved claims.
Claims (4)
1. a kind of aircraft based on video monitoring passes in and out berth automatic testing method, including video monitoring system, it is characterised in that:
The video monitoring system includes monitoring center, video analytics server, carries out data acquisition, data processing sum number to more front ends
According to displaying；
The aircraft disengaging berth automatic testing method based on video monitoring includes the following steps:
(1) airplane motion detects
The boundary rectangle frame of aircraft profile is obtained by operations such as MOG2 algorithm, gaussian filtering, morphology；
(2) aircraft state detects
Steps are as follows:
A, each frame judges that boundary rectangle frame area accounts for the certain threshold value of interface drawing area area, and default has big object to enter runway
Range, from adding 1, continuous each frame all meets flag bit；
B, after step a meets, record aircraft continuously moves the aggregate-value n of pixel；
C, aircraft stops head detection frame and drawing area phase and acquisition intersecting area, it is ensured that small frame is inside big frame；
D, record phase and total pixel value m2 in region；
E, when m2 accounts for the certain area of the total pixel of small frame or more, from adding 1, continuous each frame all meets for trigger flag position；
F, n meets n and is equal to when drawing the total pixel certain percentage of frame, records the total pixel value m1 of airplane motion rectangle frame at this time,
Judgment criteria when stopping as aircraft；
G, when n is greater than drawing area total pixel certain value, the total pixel value m of airplane motion rectangle frame detection block is recorded；
H, the position for starting airplane motion rectangle frame in a period of time is recorded；
I, when m is less than certain percentage m1, it is believed that aircraft is mobile to be stopped；
J, judge on the basis of step i: 1. airplane motion frame positions and lqrect phase with and mutually with area to account for the gross area certain
More than percentage, successive frame all meets then fjstate=1, show that aircraft is leave state planestate=2；2. working as flag bit
When big Mr. Yu's numerical value (default) and the big Mr. Yu's numerical value in trigger flag position, obtain aircraft for arrival state planestate=1；3.
When the small Mr. Yu's numerical value of flag bit or the small Mr. Yu's numerical value in trigger flag position, aircraft is that aircraft does not go out present condition planestate=3.
2. a kind of aircraft based on video monitoring according to claim 1 passes in and out berth automatic testing method, feature exists
In: the video analytics server is connected by LAN/Internet with monitoring center.
3. a kind of aircraft based on video monitoring according to claim 1 passes in and out berth automatic testing method, feature exists
In: the front end multichannel video camera is fixed wide angle cameras, is connected by interchanger with video analytics server, and signal is carried out
Video decoding is completed in acquisition.
4. a kind of aircraft based on video monitoring according to claim 1 passes in and out berth automatic testing method, feature exists
In: it is added in template samples picture when in each framing of drawing area；Template matching is carried out according to planestate numerical value,
Matching result preserves；When adaptation function calculates matching degree small Mr. Yu's coefficient, judge that current region and template mismatch, at this time
It is judged as that aircraft enters the region, while call back function is called to notify interface.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811048478.6A CN109302580A (en) | 2018-09-10 | 2018-09-10 | A kind of aircraft disengaging berth automatic testing method based on video monitoring |
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| CN201811048478.6A CN109302580A (en) | 2018-09-10 | 2018-09-10 | A kind of aircraft disengaging berth automatic testing method based on video monitoring |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109887343A (en) * | 2019-04-04 | 2019-06-14 | 中国民航科学技术研究院 | It takes to a kind of flight and ensures node automatic collection monitoring system and method |
| CN111401311A (en) * | 2020-04-09 | 2020-07-10 | 苏州海赛人工智能有限公司 | High-altitude parabolic recognition method based on image detection |
| CN114822084A (en) * | 2021-01-28 | 2022-07-29 | 阿里巴巴集团控股有限公司 | Traffic control method, target tracking method, system, device, and storage medium |
-
2018
- 2018-09-10 CN CN201811048478.6A patent/CN109302580A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109887343A (en) * | 2019-04-04 | 2019-06-14 | 中国民航科学技术研究院 | It takes to a kind of flight and ensures node automatic collection monitoring system and method |
| CN111401311A (en) * | 2020-04-09 | 2020-07-10 | 苏州海赛人工智能有限公司 | High-altitude parabolic recognition method based on image detection |
| CN114822084A (en) * | 2021-01-28 | 2022-07-29 | 阿里巴巴集团控股有限公司 | Traffic control method, target tracking method, system, device, and storage medium |
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Application publication date: 20190201 |