CN108804994B - Direction of travel big data recognition methods - Google Patents
Direction of travel big data recognition methods Download PDFInfo
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- CN108804994B CN108804994B CN201810233065.9A CN201810233065A CN108804994B CN 108804994 B CN108804994 B CN 108804994B CN 201810233065 A CN201810233065 A CN 201810233065A CN 108804994 B CN108804994 B CN 108804994B
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- footprint
- data
- travel
- curve
- equipment
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/13—Satellite images
Abstract
The present invention relates to a kind of direction of travel big data recognition methods, this method includes providing footprint direction of travel big data identifying system, introduce the direction of travel analytical equipment of setting aboard, for receiving multiple footprint piecemeals, acquisition image and footprint curve in acquisition image, shape analysis is carried out to obtain corresponding direction of travel to each footprint piecemeal, the shape of direction of travel and the footprint curve based on each footprint piecemeal determines the direction of travel of the footprint curve.
Description
Technical field
The present invention relates to big data field more particularly to a kind of direction of travel big data recognition methods.
Background technique
Big data includes structuring, semi-structured and unstructured data, and unstructured data increasingly becomes data
Major part.Show according to the survey report of IDC: 80% data are all unstructured datas in enterprise, these data are every year all
Exponentially-increased 60%.
Big data is exactly internet development to a kind of presentation or feature in stage now, it is not necessary that it is mythical it or it is right
It keeps the heart revered, using cloud computing as under the setting off of the technological innovation curtain of representative, these seem to be difficult to collect originally
Start to be easy to be utilized with the data used, by constantly bringing forth new ideas for all trades and professions, big data can be created gradually for the mankind
Make more values.
Summary of the invention
The present invention provides a kind of direction of travel big data recognition methods, have built the aerial image number of suitable mountain environment
According to collection mechanism, it is crucial that, the direction of travel analytical equipment of setting aboard is introduced, for receiving in acquisition image
Multiple footprint piecemeals, acquisition image and footprint curve, shape analysis is carried out to obtain corresponding row to each footprint piecemeal
Into direction, the shape of direction of travel and the footprint curve based on each footprint piecemeal determines the traveling of the footprint curve
Direction.
The present invention at least has following three important inventive points:
(1) according to the current field assay for obtaining image, the instant Adjusted Option of image taking is determined, to ensure that
The quality of output image under various lighting environments；
(2) the maximum feature of Green coefficient is calculated using image brightness signal, is set by multiple independent data processings
The standby analysis completed to brightness of image, to provide accurate reference data for the subsequent processing based on brightness of image and judgement；
(3) on the basis of footprints all on to massif carry out the statistical analysis in direction, the traveling based on each footprint
The shape of direction and footprint curve determines the direction of travel of footprint curve, to improve the efficiency and speed of tracking.
According to an aspect of the present invention, a kind of direction of travel big data recognition methods is provided, this method includes providing foot
Mark direction of travel big data identifying system introduces the direction of travel analytical equipment of setting aboard, for receiving acquisition figure
Multiple footprint piecemeals, acquisition image and footprint curve as in, carry out shape analysis to each footprint piecemeal to obtain correspondence
Direction of travel, the shape of direction of travel and the footprint curve based on each footprint piecemeal determines the footprint curve
Direction of travel, the footprint direction of travel big data identifying system include:
Bracket is shot, is arranged in below the casing of aircraft, the shooting bracket takes laser welding and is fixed on aircraft
Casing below；
Image capture device is arranged on the shooting bracket, including cmos image inductor, for the casing to aircraft
The capture of lower section scene progress flying scene image；
Channel analyzing device is connect with the cmos image inductor, for directly from the cmos image inductor
The flying scene image is received, red luma value, the Green brightness of each pixel are obtained from the flying scene image
Value and blue intensity values；
Intermediate data counts equipment, connect with the channel analyzing device, following for executing for each pixel
Operation: the arithmetic mean of instantaneous value of red luma value and blue intensity values is calculated, the square number of the arithmetic mean of instantaneous value is obtained；
Data compare equipment, connect respectively with the channel analyzing device and intermediate data statistics equipment, for connecing
It receives the square number of each pixel and receives the Green brightness value of each pixel, calculate the Green brightness value of each pixel
Square value, the square value of the Green brightness value of each pixel is added to obtain green relatively numerical value, by each pixel
Square number be added to obtain red-blue ratio compared with numerical value, and by it is described green relatively numerical value subtract the red-blue ratio compared with numerical value to obtain
Data compare difference；
Signal output apparatus, equipment connects compared with the data, and the absolute value for comparing difference in the data is big
When being equal to pre-determined absolute threshold value and the data and comparing difference and be positive several, exported floodlighting signal, otherwise, output compared with
Low light illuminant signal；
Footprint detection device is connect, for receiving flying scene figure with the data interpolating unit of described image capture device
Picture, and footprint detection is executed to the flying scene image, to obtain and export multiple footprint piecemeals.
Wherein, described image capture device further includes picture quality enhancement unit and data interpolating unit, the cmos image sense
Device is answered to connect respectively with the picture quality enhancement unit and the data interpolating unit, the picture quality enhancement unit and the data are inserted
Value cell connection；
Wherein, described image capture device is also connect with the signal output apparatus, poor for receiving the data
Value is also used to when receiving the floodlighting signal excessively, and the image data of the output of the cmos image inductor is straight
It connects and is exported as flying scene image, described image capture device is also used to when receiving the weak light clear signal, will
The image data of the output of the cmos image inductor passes sequentially through the picture quality enhancement unit and the data interpolating unit
Afterwards as flying scene image export, wherein the enhancing amplitude of the picture quality enhancement unit compared with the data difference at anti-
Than the interpolation arithmetic complexity of data interpolating unit difference compared with the data is inversely proportional.
Wherein, the channel analyzing device, intermediate data statistics equipment and the data compare equipment by big data
The various components of server are realized respectively.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the knot according to the shooting bracket of the footprint direction of travel big data identifying system shown in embodiment of the present invention
Structure schematic diagram.
Fig. 2 is the image capture device according to the footprint direction of travel big data identifying system shown in embodiment of the present invention
Structural schematic diagram.
Specific embodiment
Embodiment of the present invention is described in detail below with reference to accompanying drawings.
In the world climb the mountain outdoor sports developed country suffer from fairly perfect emergency system, as the U.S., New Zealand with
And European catalogue.The growth of mountain-climbing population necessarily brings the pressure of rescue work, and the demand of rescue increases therewith.
But mountain-climbing outdoor sports itself have high-risk motility, and variation and uncertainty are being full of in active procedure (just
It is that this feature is just full of glamour), to mountain-climbing, outdoor activist brings risk；With the mountain-climbing open air participation group being growing
Body, no matter policies and regulations or infrastructure much can not meet the requirement of development；Due to the impetus of this fast development, very
More outdoor activists blindly comform, to outdoor sports unreason understanding safely of climbing the mountain, so as to cause the expansion of movable group
With the uncoordinated of outdoor activities theory of climbing the mountain.These reasons lead to safety accident raised severe situation year by year.
Mountainous region rescue is the component part of mountain-climbing outdoor sports.In face of growing mountain-climbing outdoor people and necessarily increase
Outdoor accident, rescue itself is actually that developing work component part as high-risk project has lacked this respect
Work, development be necessarily restricted.
In the prior art, in the rescue of mountainous region, for one ring, that is, footprint tracking aspect of most critical, artificial eye is still used
The mode of judgement, the excessive experience for depending on people, while the data judged are less, cause the result obtained not accurate enough.
In order to overcome above-mentioned deficiency, the present invention has built a kind of direction of travel big data recognition methods, and this method includes mentioning
For footprint direction of travel big data identifying system, the direction of travel analytical equipment of setting aboard is introduced, is adopted for receiving
Collect multiple footprint piecemeals, acquisition image and the footprint curve in image, shape analysis is carried out to obtain to each footprint piecemeal
Corresponding direction of travel, the shape of direction of travel and the footprint curve based on each footprint piecemeal determine that the footprint is bent
The direction of travel of line, the footprint direction of travel big data identifying system provide the precision of footprint direction of travel big data identification
And speed.
The footprint direction of travel big data identifying system shown according to an embodiment of the present invention includes:
Bracket is shot, as shown in Figure 1, including fixed plate 1, mounting hole 2, revolving part 3 and through-hole 4, the shooting bracket
It is arranged in below the casing of aircraft, the shooting bracket is taken laser welding and is fixed below the casing of aircraft, revolving part 3
Image capture device is installed for rotating；
Image capture device, as shown in Fig. 2, be arranged on the shooting bracket, including the first screw thread 5, the second screw thread 6,
Translucent cover 7, cmos image inductor 8, waterproof foam pad 9 and pedestal 10, the cmos image inductor are used for the machine to aircraft
Scene carries out the capture of flying scene image below shell；
Channel analyzing device is connect with the cmos image inductor, for directly from the cmos image inductor
The flying scene image is received, red luma value, the Green brightness of each pixel are obtained from the flying scene image
Value and blue intensity values.
Then, continue to carry out further the specific structure of footprint direction of travel big data identifying system of the invention
It is bright.
In the footprint direction of travel big data identifying system, further includes:
Intermediate data counts equipment, connect with the channel analyzing device, following for executing for each pixel
Operation: the arithmetic mean of instantaneous value of red luma value and blue intensity values is calculated, the square number of the arithmetic mean of instantaneous value is obtained.
In the footprint direction of travel big data identifying system, further includes:
Data compare equipment, connect respectively with the channel analyzing device and intermediate data statistics equipment, for connecing
It receives the square number of each pixel and receives the Green brightness value of each pixel, calculate the Green brightness value of each pixel
Square value, the square value of the Green brightness value of each pixel is added to obtain green relatively numerical value, by each pixel
Square number be added to obtain red-blue ratio compared with numerical value, and by it is described green relatively numerical value subtract the red-blue ratio compared with numerical value to obtain
Data compare difference.
In the footprint direction of travel big data identifying system, further includes:
Signal output apparatus, equipment connects compared with the data, and the absolute value for comparing difference in the data is big
When being equal to pre-determined absolute threshold value and the data and comparing difference and be positive several, exported floodlighting signal, otherwise, output compared with
Low light illuminant signal；
Described image capture device further includes picture quality enhancement unit and data interpolating unit, the cmos image inductor point
It is not connect with the picture quality enhancement unit and the data interpolating unit, the picture quality enhancement unit and the data interpolating unit
Connection；
Described image capture device is also connect with the signal output apparatus, compares difference for receiving the data, also
For receive it is described cross floodlighting signal when, by the image data of the output of the cmos image inductor directly as
The output of flying scene image, described image capture device are also used to when receiving the weak light clear signal, will be described
The image data of the output of cmos image inductor is made after passing sequentially through the picture quality enhancement unit and the data interpolating unit
For the output of flying scene image, wherein the enhancing amplitude of picture quality enhancement unit difference compared with the data is inversely proportional, institute
The interpolation arithmetic complexity of the data interpolating unit difference compared with the data is stated to be inversely proportional；
Footprint detection device is connect, for receiving flying scene figure with the data interpolating unit of described image capture device
Picture, and footprint detection is executed to the flying scene image, to obtain and export multiple footprint piecemeals；
Curve matching equipment, setting aboard, are connect, for receiving multiple footprint piecemeals with the footprint detection device
With flying scene image, and to the multiple footprint piecemeal execute splicing, to obtain corresponding footprint curve；
Direction of travel analytical equipment, setting aboard, is connect with the curve matching equipment, the multiple for receiving
Footprint piecemeal, the flying scene image and the footprint curve carry out shape analysis to each footprint piecemeal to obtain pair
The shape of the direction of travel answered, direction of travel and the footprint curve based on each footprint piecemeal determines the footprint curve
Direction of travel,
Scene display equipment, is arranged in the front end instrument board of aircraft, connect, be used for the direction of travel analytical equipment
After the direction of travel of the footprint curve and the footprint curve are combined on the flying scene image and carry out scene
Display；
Wherein, the channel analyzing device, intermediate data statistics equipment and the data compare equipment by big data
The various components of server are realized respectively.
In the footprint direction of travel big data identifying system:
In the direction of travel analytical equipment, direction of travel and the footprint curve based on each footprint piecemeal
Shape determines that the direction of travel of the footprint curve includes: that the direction of travel of each footprint piecemeal quantizes, to obtain
Multiple bearing datas are obtained, each bearing data is a vector, and the multiple bearing data is added to obtain reference
Direction vector determines the direction of travel of the footprint curve based on the shape of footprint curve described in the reference direction vector sum.
In the footprint direction of travel big data identifying system:
Realize the channel analyzing device, intermediate data statistics equipment respectively using the CPLD module of different model
Compare equipment with the data.
In the footprint direction of travel big data identifying system:
The channel analyzing device, intermediate data statistics equipment and the data compare equipment and are all arranged on aircraft
Front end instrument board in.
In addition, the direction of travel analytical equipment is realized by dsp chip.The inside of dsp chip uses program and data
Separated Harvard structure has special hardware multiplier, pile line operation is widely used, and provides special DSP instruction, can be with
For quickly realizing various digital signal processing algorithms.
According to the requirement of Digital Signal Processing, dsp chip generally has following some main features: (1) referring at one
Enable an achievable multiplication and a sub-addition in the period.(2) program and data space is separated, can simultaneously access instruction sum number
According to.(3) there is quick RAM in piece, can usually be accessed simultaneously in two pieces by independent data/address bus.(4) there is low overhead
Or without overhead loop and the hardware supported jumped.(5) quickly interrupt processing and Hardware I/O are supported.(6) have within the monocycle
Multiple hardware address generators of operation.(7) multiple operations can be executed parallel.(8) it supports pile line operation, makes fetching, translates
The operations such as code and execution can be with Overlapped Execution.
Classified according to the data format of dsp chip work.Data are known as pinpointing with the dsp chip that fixed point format works
Dsp chip, TMS320C1X/C2X, TMS320C2XX/C5X, TMS320C54X/C62XX such as TI company are serial, AD company
ADSP21XX series, the DSP16/16A of AT & T Corp., the MC56000 etc. of Motolora company.What is worked in a floating-point format is known as
Float-point DSP, the ADSP21XXX such as the TMS320C3X/C4X/C8X of TI company, AD company is serial, AT & T Corp.
The MC96002 etc. of DSP32/32C, Motolora company.
Using footprint direction of travel big data identifying system of the invention, excessively relied on for the tracking of footprint in the prior art
The technical issues of artificial experience, ensure that various using the Image Acquisition Adjusted Option and image procossing Adjusted Option of customization
The precision that the quality and corresponding data of output image under lighting environment are extracted, particular, it is important that owning on massif
On the basis of footprint carries out the statistical analysis in direction, the shape of direction of travel and footprint curve based on each footprint determines foot
The direction of travel of trace curve improves the degree of automation and effect of footprint tracking so that artificial tracking mode be substituted completely
Rate grade.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (4)
1. a kind of direction of travel big data recognition methods, this method includes providing footprint direction of travel big data identifying system, is drawn
The direction of travel analytical equipment of setting aboard is entered, for receiving multiple footprint piecemeals in acquisition image, acquisition image
With footprint curve, shape analysis is carried out to obtain corresponding direction of travel, based on each footprint point to each footprint piecemeal
The shape of the direction of travel of block and the footprint curve determines the direction of travel of the footprint curve, which is characterized in that the foot
Mark direction of travel big data identifying system includes:
Bracket is shot, is arranged in below the casing of aircraft, the machine for shooting bracket and taking laser welding and being fixed on aircraft
Below shell；
Image capture device is arranged on the shooting bracket, including cmos image inductor, below the casing to aircraft
The capture of scene progress flying scene image；
Channel analyzing device is connect with the cmos image inductor, for receiving directly from the cmos image inductor
The flying scene image, obtained from the flying scene image red luma value of each pixel, Green brightness value and
Blue intensity values；
Intermediate data counts equipment, connect with the channel analyzing device, for executing following operation for each pixel:
The arithmetic mean of instantaneous value for calculating red luma value and blue intensity values, obtains the square number of the arithmetic mean of instantaneous value；
Data compare equipment, connect respectively with the channel analyzing device and intermediate data statistics equipment, each for receiving
The square number of a pixel and the Green brightness value for receiving each pixel calculate the flat of the Green brightness value of each pixel
The square value of the Green brightness value of each pixel is added to obtain green relatively numerical value, by the flat of each pixel by side's value
Number formulary is added to obtain red-blue ratio compared with numerical value, and the green relatively numerical value is subtracted the red-blue ratio compared with numerical value to obtain data
Compare difference；
Signal output apparatus, equipment connects compared with the data, and the absolute value for comparing difference in the data is greater than etc.
In pre-determined absolute threshold value and when the data compare difference and are positive several, floodlighting signal was exported, otherwise, was exported compared with dim light
Illumination sign；
Described image capture device further includes picture quality enhancement unit and data interpolating unit, the cmos image inductor respectively with
The picture quality enhancement unit is connected with the data interpolating unit, and the picture quality enhancement unit and the data interpolating unit connect
It connects；
Described image capture device is also connect with the signal output apparatus, is compared difference for receiving the data, is also used to
When receiving the floodlighting signal excessively, by the image data of the output of the cmos image inductor directly as flight
Scene image output, described image capture device are also used to scheme the CMOS when receiving the weak light clear signal
Flight is used as after passing sequentially through the picture quality enhancement unit and the data interpolating unit as the image data of the output of inductor
Scene image output, wherein the enhancing amplitude of picture quality enhancement unit difference compared with the data is inversely proportional, the data
The interpolation arithmetic complexity of interpolating unit difference compared with the data is inversely proportional；
Footprint detection device is connect with the data interpolating unit of described image capture device, for receiving flying scene image, and
Footprint detection is executed to the flying scene image, to obtain and export multiple footprint piecemeals；
Curve matching equipment, setting aboard, are connect with the footprint detection device, for receiving multiple footprint piecemeals and flying
Row scene image, and splicing is executed to the multiple footprint piecemeal, to obtain corresponding footprint curve；
Direction of travel analytical equipment, setting aboard, are connect, for receiving the multiple footprint with the curve matching equipment
It is corresponding to obtain to carry out shape analysis to each footprint piecemeal for piecemeal, the flying scene image and the footprint curve
The shape of direction of travel, direction of travel and the footprint curve based on each footprint piecemeal determines the row of the footprint curve
Into direction,
Scene display equipment, is arranged in the front end instrument board of aircraft, connect with the direction of travel analytical equipment, be used for institute
After the direction of travel and the footprint curve for stating footprint curve are combined on the flying scene image and carry out live display；
Wherein, the channel analyzing device, intermediate data statistics equipment and the data compare equipment by big data service
The various components of device are realized respectively.
2. the method as described in claim 1, it is characterised in that:
In the direction of travel analytical equipment, the shape of direction of travel and the footprint curve based on each footprint piecemeal
The direction of travel for determining the footprint curve includes: that the direction of travel of each footprint piecemeal quantizes, more to obtain
A bearing data, each bearing data are a vector, and the multiple bearing data is added to obtain reference direction
Vector determines the direction of travel of the footprint curve based on the shape of footprint curve described in the reference direction vector sum.
3. method according to claim 2, it is characterised in that:
Realize the channel analyzing device, intermediate data statistics equipment and institute respectively using the CPLD module of different model
It states data and compares equipment.
4. method as claimed in claim 3, it is characterised in that:
The channel analyzing device, intermediate data statistics equipment and the data compare before equipment is all arranged on aircraft
It holds in instrument board.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810233065.9A CN108804994B (en) | 2018-03-21 | 2018-03-21 | Direction of travel big data recognition methods |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810233065.9A CN108804994B (en) | 2018-03-21 | 2018-03-21 | Direction of travel big data recognition methods |
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| CN108804994B true CN108804994B (en) | 2019-03-26 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101213579A (en) * | 2005-06-30 | 2008-07-02 | 普兰纳姆威申有限公司 | Surveillance system and method for detecting forbidden movement along a predetermined path |
| CN102542789A (en) * | 2010-12-28 | 2012-07-04 | 财团法人工业技术研究院 | Driving path reconstruction method, system and computer program product |
| CN203528817U (en) * | 2013-06-18 | 2014-04-09 | 桂林理工大学 | Mountain tourism emergency rescue system based on unmanned plane |
| CN206485574U (en) * | 2016-08-26 | 2017-09-12 | 山西省交通科学研究院 | A kind of remote highway rescue system based on unmanned aerial vehicle platform |
-
2018
- 2018-03-21 CN CN201810233065.9A patent/CN108804994B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101213579A (en) * | 2005-06-30 | 2008-07-02 | 普兰纳姆威申有限公司 | Surveillance system and method for detecting forbidden movement along a predetermined path |
| CN102542789A (en) * | 2010-12-28 | 2012-07-04 | 财团法人工业技术研究院 | Driving path reconstruction method, system and computer program product |
| CN203528817U (en) * | 2013-06-18 | 2014-04-09 | 桂林理工大学 | Mountain tourism emergency rescue system based on unmanned plane |
| CN206485574U (en) * | 2016-08-26 | 2017-09-12 | 山西省交通科学研究院 | A kind of remote highway rescue system based on unmanned aerial vehicle platform |
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