CN106254826A - A kind of earthquake intensity appraisal procedure based on video analysis - Google Patents
A kind of earthquake intensity appraisal procedure based on video analysis Download PDFInfo
- Publication number
- CN106254826A CN106254826A CN201610637307.1A CN201610637307A CN106254826A CN 106254826 A CN106254826 A CN 106254826A CN 201610637307 A CN201610637307 A CN 201610637307A CN 106254826 A CN106254826 A CN 106254826A
- Authority
- CN
- China
- Prior art keywords
- video
- photographic head
- earthquake intensity
- appraisal procedure
- procedure based
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/003—Seismic data acquisition in general, e.g. survey design
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
Abstract
The present invention discloses a kind of earthquake intensity appraisal procedure based on video analysis, and it is by the video content of widely distributed photographic head picked-up, and the figure in analysis video content is quickly to obtain earthquake intensity.The beneficial effect that the present invention has low cost, earthquake intensity assessment is fast.
Description
Technical field
The present invention relates to earthquake intensity assessment technology field, particularly relate to the assessment of a kind of earthquake intensity based on video analysis
Method.
Background technology
Quickly the judging of earthquake intensity is carried out significant for the disaster relief work of small earthquakes.But according to existing
Technical merit, the condition of a disaster assessment after the earthquake is that one more complicated and work that quantities is huge, time-consuming and laborious.
After the earthquake of Wenchuan, China Seismology Bureau organizes a large amount of expert to go to the areas such as Sichuan, Gansu, Shaanxi, Chongqing, Yunnan, Ningxia to open
Exhibition field investigation, investigation area reaches 500,000 kilometers, points for investigation more than 4000, just draws out Wenchuan earthquake INTENSITY DISTRIBUTION figure.
Mostly existing appraisal procedure is qualitative evaluation, lacks objectivity of science.And mostly the assessment of existing earthquake intensity is
Judge by being distributed in the high sensitivity seismograph of each department, but the signal of high sensitivity seismograph depends on the means of communication of routine, it is impossible in time
Signal is exported.And earthquake its measurement data slighter for earthquake intensity is the most accurate.
Prior art also proposes a kind of low cost, highly reliable Real-time Seismic intensity rapid re port system, its Publication No.
CN101482620A, it is by arranging multiple earthquake intensity speed report instrument, and transmits data by Beidou navigation.But this kind of side
Method need nonetheless remain for additionally arranging multiple instrument, relatively costly and not transmitting data in real time.
Summary of the invention
The technical problem to be solved is, for the above-mentioned deficiency of prior art, proposes one and depends on existing
Having the photographic head being distributed in various places, obtained the appraisal procedure of earthquake intensity by video analysis, its cost is relatively low and has backtracking
Property, it is possible to accurately feature before contrast shake and after shake.
The present invention solves its technical problem and employed technical scheme comprise that, proposes a kind of earthquake intensity based on video analysis and comments
Estimating method, it includes step:
The building depended on when obtaining the seismic region networking video content of photographic head, the installation of each photographic head and Site Type
And the geographical position that each photographic head is installed；
All video contents are installed, according to photographic head, the building depended on and Site Type is classified；
According to photographic head, the building depended on and the temporal signatures of Site Type extraction video content are installed；
Earthquake intensity classification is built according to temporal signatures；
According to photographic head, geographical position is installed and draws earthquake intensity scattergram.
Further, when described each photographic head is installed, the building classifications that depends on is: unstable suspension rod, stablize suspension rod, electric wire
Bar, single story building, tier building and skyscraper.
Further, Site Type when described each photographic head is installed is categorized as: hard soil or rock, middle pan soil, in soft
Soil, weak soil.
Further, described temporal signatures includes: target translational speed and scene fortune in video pictures degree of jitter, video
Dynamic speed.
Further, described temporal signatures also includes: each photographic head install time depend on Site Type deformation, respectively take the photograph
As head installs the gathering of people degree that geographical position is corresponding.
Further, in described video, target translational speed calculates by the following method: with road zebra crossing as marker,
Rock calculating by camera lens and rock angular velocity, calculate acceleration with video time axle.
The present invention is by the existing monitor video content of extraction, by analyzing different building, different place, different geography
The video content of the photographic head picked-up of position, analyzes the parameters in contrast earthquake front-and rear-view frequency, fast according to this parameters
Speed estimates earthquake intensity, significant for the small earthquakes disaster relief.
Detailed description of the invention
The following is the specific embodiment of the present invention, technical scheme is further described, but the present invention is also
It is not limited to these embodiments.
In order to maintain public order, the current Ministry of Public Security is equipped with substantial amounts of monitoring camera throughout the country.Those shootings
Head is broken laws and commit crime to maintaining public order, hitting and is played highly important effect.
The video content that the mount message of photographic head self combines camera collection is creatively analyzed by the application,
Can quickly analyze earthquake intensity, in order to carrying out of follow-up disaster relief work.
First the application gathers following information: 1, the video content of seismic region networking photographic head；2, when photographic head is installed
The building type depended on；3, Site Type when photographic head is installed；4, the geographical position that photographic head is installed.
When earthquake occurs, the video content of the photographic head picked-up in different building types and different place and video
Temporal signatures is different, it is thus necessary to classified by photographic head.
In the present embodiment, the building depended on when being installed by photographic head is divided into unstable suspension rod, stablizes suspension rod, electric pole, list
Layer building, tier building and the big class of skyscraper six.Site Type when being installed by photographic head is divided into: hard soil or rock, in
Pan soil, middle weak soil, the big class of weak soil four.
The matrix of the similar following form of structure:
Video corresponding for element each in matrix is gathered in different regions to build video content storehouse respectively.
Extracting the temporal signatures in video content storehouse, emphasis includes: the vibrant characteristic of video in time domain, is i.e. estimated by motion
The degree of jitter of video pictures in meter analysis certain time period；The translational speed of target in video, i.e. moving target is for earthquake intensity
The speed (such as building collapsing speed) of different average running speeds and part scene motion.Built by features described above
Earthquake intensity grader.
In a preferred embodiment, earthquake intensity grader such as following table builds:
Every description in above table all can be drawn by the video content analysis of specific camera head.
Earthquake intensity and then the earthquake of comprehensive analysis this area that in matrix, each element is corresponding is obtained according to above-mentioned earthquake intensity classification chart
Earthquake intensity.By earthquake intensity and then the INTENSITY DISTRIBUTION figure of drafting earthquake areas of above-mentioned analytical diverse geographic location.
Further, in the present embodiment, also can automatically calculate target translational speed in video, during to reduce artificial observation
Between.It mainly calculates with road zebra crossing for marker.Width and the spacing of road zebra crossing are marked by GB5768-2009
Standard defines, i.e. road zebra crossing width should be 45 centimetres, spacing 60 centimetres.With this standard figures as reference, mirror can be passed through
Head rocks calculating and rocks angular velocity, then calculates acceleration to draw personnel's translational speed by video time axle.
Video analysis assessment earthquake intensity is used to have the advantage that
1, monitor video has complete time shaft, it is possible to resolve the comparison problem before shake and after shake；
2, monitoring camera has relatively accurate geography information；
3, the screen resolution of monitoring camera picked-up improves constantly, the analysis that can more refine；
4, the monitoring data before 3-6 month can be recalled, find macroscopic premonitory；
Situation is destroyed when shake 5, can be recorded truly；
6, in earthquake, crowd behaviour can be that emergency management and rescue provide foundation.
Specific embodiment described herein is only to present invention spirit explanation for example.Technology neck belonging to the present invention
Described specific embodiment can be made various amendment or supplements or use similar mode to replace by the technical staff in territory
Generation, but without departing from the spirit of the present invention or surmount scope defined in appended claims.
Claims (6)
1. an earthquake intensity appraisal procedure based on video analysis, it is characterised in that: include step:
Obtain the seismic region networking video content of photographic head, each photographic head when installing the building that depended on and Site Type and
The geographical position that each photographic head is installed；
All video contents are installed, according to photographic head, the building depended on and Site Type is classified；
According to photographic head, the building depended on and the temporal signatures of Site Type extraction video content are installed；
Earthquake intensity classification is built according to temporal signatures；
According to photographic head, geographical position is installed and draws earthquake intensity scattergram.
Earthquake intensity appraisal procedure based on video analysis the most according to claim 1, it is characterised in that: described each shooting
When head is installed, the building classifications that depends on is: unstable suspension rod, stablizes suspension rod, electric pole, single story building, tier building and high level and builds
Build.
Earthquake intensity appraisal procedure based on video analysis the most according to claim 1 and 2, it is characterised in that: described respectively
Site Type when photographic head is installed is categorized as: hard soil or rock, middle pan soil, middle weak soil, weak soil.
Earthquake intensity appraisal procedure based on video analysis the most according to claim 1, it is characterised in that: described time domain is special
Levy and include: target translational speed and scene motion speed in video pictures degree of jitter, video.
Earthquake intensity appraisal procedure based on video analysis the most according to claim 4, it is characterised in that: described time domain is special
Levy and also include: the Site Type deformation that each photographic head depends on when installing, each photographic head install the personnel that geographical position is corresponding
Concentration class.
Earthquake intensity appraisal procedure based on video analysis the most according to claim 4, it is characterised in that: in described video
Target translational speed calculates by the following method: with road zebra crossing as marker, rocks calculating by camera lens and rocks angular velocity,
Acceleration is calculated with video time axle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610637307.1A CN106254826A (en) | 2016-08-05 | 2016-08-05 | A kind of earthquake intensity appraisal procedure based on video analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610637307.1A CN106254826A (en) | 2016-08-05 | 2016-08-05 | A kind of earthquake intensity appraisal procedure based on video analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106254826A true CN106254826A (en) | 2016-12-21 |
Family
ID=58078634
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610637307.1A Pending CN106254826A (en) | 2016-08-05 | 2016-08-05 | A kind of earthquake intensity appraisal procedure based on video analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106254826A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109782334A (en) * | 2019-03-12 | 2019-05-21 | 夏仕安 | It is a kind of for assessing the monitoring method of earthquake intensity in real time |
| GB2605482A (en) * | 2020-12-22 | 2022-10-05 | Ibm | Earthquake detection and response via distributed visual input |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201298288Y (en) * | 2008-11-26 | 2009-08-26 | 中国地震局地壳应力研究所 | Earthquake disaster monitor |
| CN101988968A (en) * | 2010-09-02 | 2011-03-23 | 成都林海电子有限责任公司 | Wireless network-based earthquake monitoring system and implementation method thereof |
| CN202041650U (en) * | 2011-05-16 | 2011-11-16 | 许江 | Pre-earthquake well water change monitor |
| CN102279413A (en) * | 2011-05-09 | 2011-12-14 | 深圳市鸿鹄成实业发展有限公司 | Earthquake alarm |
| JP2012084020A (en) * | 2010-10-13 | 2012-04-26 | Cygnet Corp | Disaster prevention management system |
| CN102801965A (en) * | 2012-08-28 | 2012-11-28 | 天津市亚安科技股份有限公司 | Integrated mobile video monitoring device |
| CN103310583A (en) * | 2012-03-16 | 2013-09-18 | 鸿富锦精密工业（深圳）有限公司 | Early warning server, early warning system and method used for the early warning server |
-
2016
- 2016-08-05 CN CN201610637307.1A patent/CN106254826A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201298288Y (en) * | 2008-11-26 | 2009-08-26 | 中国地震局地壳应力研究所 | Earthquake disaster monitor |
| CN101988968A (en) * | 2010-09-02 | 2011-03-23 | 成都林海电子有限责任公司 | Wireless network-based earthquake monitoring system and implementation method thereof |
| JP2012084020A (en) * | 2010-10-13 | 2012-04-26 | Cygnet Corp | Disaster prevention management system |
| CN102279413A (en) * | 2011-05-09 | 2011-12-14 | 深圳市鸿鹄成实业发展有限公司 | Earthquake alarm |
| CN202041650U (en) * | 2011-05-16 | 2011-11-16 | 许江 | Pre-earthquake well water change monitor |
| CN103310583A (en) * | 2012-03-16 | 2013-09-18 | 鸿富锦精密工业（深圳）有限公司 | Early warning server, early warning system and method used for the early warning server |
| CN102801965A (en) * | 2012-08-28 | 2012-11-28 | 天津市亚安科技股份有限公司 | Integrated mobile video monitoring device |
Non-Patent Citations (2)
| Title |
|---|
| 夏旻，吴忠良，蒋长胜，彭汉书: "用监控录像资料估计墙地面运动参数", 《防灾减灾工程学报》 * |
| 杨小林: "基于监控录像估算烈度和强地面运动参数", 《豆丁网》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109782334A (en) * | 2019-03-12 | 2019-05-21 | 夏仕安 | It is a kind of for assessing the monitoring method of earthquake intensity in real time |
| GB2605482A (en) * | 2020-12-22 | 2022-10-05 | Ibm | Earthquake detection and response via distributed visual input |
| US11874415B2 (en) | 2020-12-22 | 2024-01-16 | International Business Machines Corporation | Earthquake detection and response via distributed visual input |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Scrafford et al. | Roads elicit negative movement and habitat-selection responses by wolverines (Gulo gulo luscus) | |
| Horn et al. | Analyzing NEXRAD doppler radar images to assess nightly dispersal patterns and population trends in Brazilian free-tailed bats (Tadarida brasiliensis) | |
| CN105181898B (en) | Atmospheric pollution monitoring and management method as well as system based on high-density deployment of sensors | |
| Arattano et al. | Systems and sensors for debris-flow monitoring and warning | |
| CN109872509A (en) | Massif Geological Hazards Monitoring and early warning system and method based on the twin driving of number | |
| Wirz et al. | Inferring crowd conditions from pedestrians' location traces for real-time crowd monitoring during city-scale mass gatherings | |
| Wang et al. | Spatial sampling design for monitoring the area of cultivated land | |
| Liang et al. | How does weather and climate affect pedestrian walking speed during cool and cold seasons in severely cold areas? | |
| JP2013514596A (en) | Method and system for estimating vegetation growth length for objects of interest | |
| WO2010105935A1 (en) | Detecting change areas in a digital map from macro probe data attributes | |
| CN109615118A (en) | Based on big data hazards control Informatization Service integrated control system and method | |
| CN113762090B (en) | Disaster monitoring and early warning method for ultra-high voltage dense transmission channel | |
| Keleş et al. | Urbanization and forest cover change in regional directorate of Trabzon forestry from 1975 to 2000 using landsat data | |
| CN114419835A (en) | Historical building fire monitoring method and system based on digital twin technology | |
| Malinverni | Change detection applying landscape metrics on high remote sensing images | |
| CN106254826A (en) | A kind of earthquake intensity appraisal procedure based on video analysis | |
| CN113420109B (en) | Method for measuring permeability of street interface, computer and storage medium | |
| Cao et al. | Integrated detection and analysis of earthquake disaster information using airborne data | |
| CN115929404A (en) | Coal mine tunnel monitoring method and device and coal mine tunnel detection system | |
| Helbig et al. | A game engine based application for visualising and analysing environmental spatiotemporal mobile sensor data in an urban context | |
| Laverdiere et al. | Rapid structure detection in support of disaster response: A case study of the 2018 kilauea volcano eruption | |
| Amiri et al. | Quantifying Jacobs’ notion of ‘eyes upon the street’in 3-dimensions | |
| KR102326208B1 (en) | System for constructing 3d fine dust information based on image analysis and method thereof | |
| CN110411686A (en) | The quiet dynamic image holography condition health monitoring diagnostic method of bridge and system | |
| Felbermeier et al. | Study on user requirements for remote sensing applications in forestry. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20161221 |