CN107564043B - A kind of residence area motion target tracking method - Google Patents
A kind of residence area motion target tracking method Download PDFInfo
- Publication number
- CN107564043B CN107564043B CN201710758443.0A CN201710758443A CN107564043B CN 107564043 B CN107564043 B CN 107564043B CN 201710758443 A CN201710758443 A CN 201710758443A CN 107564043 B CN107564043 B CN 107564043B
- Authority
- CN
- China
- Prior art keywords
- pixel
- area image
- saltus step
- value
- step degree
- 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.)
- Active
Links
Landscapes
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of residence area motion target tracking methods, the method includes using residence area Motion Object Tracking System to start the real-time tracking to the moving target in residence area when the noise amplitude detected is more than or equal to default decibel value, the residence area Motion Object Tracking System includes TF storage chips, noise analysis equipment and area image capture apparatus；The TF storage chips are for prestoring first weight coefficient, second weight coefficient and the third weight coefficient；The noise analysis equipment is arranged in residence area, for detecting surrounding noise situation in real time, and when the noise amplitude detected is more than or equal to default decibel value, sends out noise interferences；The area image capture apparatus is used for when receiving noise interferences, and the acquisition of real-time scene data is carried out to obtain and export residence area image to the major trunk roads in residence area.
Description
Technical field
The present invention relates to target tracking domain more particularly to a kind of residence area motion target tracking methods.
Background technology
House refers to specializing in the house of inhabitation, including villa, apartment, families of workers and staff dormitory and dormitory, worker are unmarried
Dormitory and students' dormitory etc..But include residential building in as people's air defense use, incessantly people basement etc., also including nursery,
Ward, sanatorium, hotel etc. have the house of special purpose.
Dividing by the number of plies for house, can be divided into：Single layer house, multi-storey building, high residential building, Super high-rise dwelling house.Its is on the middle and senior level
House can be divided into：Apartment type high rise：It is composed of multiple housing units, the high level of stair, elevator is equipped with per unit
House；Point block：To share stair, elevator arranges the high residential buildings for covering houses more as core；Gallery tall building of apartment：
Enter the high residential building of each set house to share stair, elevator by inside and outside corridor.
Since house is that people rest the place of life, to quietly requiring to stand in the breach, particularly under night-environment,
The peace and quiet of residential environment are even more the target that people pursue.The main source of noise at night is moving target, therefore, moving target
It is quietly crucial that tracking is to maintain house, however, lacking such follow-up mechanism in the prior art.
Invention content
To solve the above-mentioned problems, the present invention provides a kind of residence area motion target tracking methods, in order to overcome night
Between environment deterioration influence, using customization include data-detection apparatus, data analysis equipment, data output interface and in advance
The high-precision of nighttime image is examined if the area image capture apparatus of quantity, parallel arrangement of multiple CCD photoelectric converters is realized
It surveys, while introducing various targetedly image processing equipments and nighttime image is handled, and to the processed area image
Motion target tracking is carried out to obtain current kinetic target subgraph, type identification is carried out to obtain to current kinetic target subgraph
The corresponding type of vehicle of current moving target subgraph is obtained, it is current to obtain to carry out Car license recognition to current kinetic target subgraph
The corresponding vehicle license plate number of moving target subgraph, and it is on record to retain to carry out record in real time to license plate number.
According to an aspect of the present invention, a kind of residence area motion target tracking method is provided, the method includes making
With residence area Motion Object Tracking System to start to house when the noise amplitude detected is more than or equal to default decibel value
The real-time tracking of moving target in region, the residence area Motion Object Tracking System include：TF storage chips, noise point
Desorption device and area image capture apparatus；The TF storage chips are for prestoring first weight coefficient, described second
Weight coefficient and the third weight coefficient；The noise analysis equipment is arranged in residence area, around detecting in real time
Noise situations, and when the noise amplitude detected is more than or equal to default decibel value, sends out noise interferences, otherwise, send out
Noise normal signal, wherein the default decibel value is a variable changed based on current time；The area image is clapped
It takes the photograph equipment to be arranged in residence area, near noise analysis equipment, be connect with the noise analysis equipment, under default conditions
In power down mode, when receiving the noise interferences, enter working condition from power down mode, to the master in residence area
Arterial highway carries out the acquisition of real-time scene data to obtain and export residence area image；Wherein, the area image capture apparatus packet
Include data-detection apparatus, data analysis equipment, data output interface and preset quantity, parallel arrangement of multiple CCD photoelectricity turn
Parallel operation.
More specifically, in the residence area Motion Object Tracking System：In the area image capture apparatus, institute
It states multiple CCD photoelectric converters and carries out real-time scene data acquisition towards the major trunk roads in residence area, each CCD photoelectricity turns
Parallel operation exports a reference picture；The data-detection apparatus is connect with the multiple CCD photoelectric converters respectively, for receiving
Corresponding multiple reference pictures extract contrast, signal-to-noise ratio and the dynamic range of each reference picture respectively；The data point
Desorption device is connect with the data-detection apparatus, is used for contrast, signal-to-noise ratio and dynamic range based on each reference picture
Determine the signal quality tradeoff index of each reference picture；Wherein, the contrast based on each reference picture, signal-to-noise ratio and
Dynamic range determines that the signal quality tradeoff index of each reference picture includes：By the contrast of each reference picture and the
One weight coefficient is multiplied to obtain the first product, and the signal-to-noise ratio of each reference picture and the second weight coefficient are multiplied to obtain
The dynamic range of each reference picture and third weight coefficient are multiplied to obtain third product by the second product, by described the
One product, second product and the third product addition weigh index to obtain the signal quality.
More specifically, in the residence area Motion Object Tracking System：In the area image capture apparatus, institute
It states data output interface to connect with the data analysis equipment, for carrying out the signal quality tradeoff index of each reference picture
Compare, is exported using the signal quality tradeoff highest reference picture of index as residence area image.
More specifically, in the residence area Motion Object Tracking System, the system also includes：
Sharpening level input equipment, the sharpening level for receiving input, and output determining according to the sharpening level are pre-
If saltus step degree threshold value, the sharpening level is higher, and the default saltus step degree threshold value is smaller；Saltus step degree judges equipment, uses
In receiving residence area image, for the pixel value of each pixel in residence area image, it is same that its pixel value is subtracted it
The difference obtained after the pixel value of row downlink pixel is done square to obtain the first square value, and it is following that its pixel value is subtracted its colleague
The difference obtained after the pixel value of pixel is done square to obtain the second square value, after the first square value is added with the second square value
Obtain and progress evolution is to obtain the first saltus step degree, wherein each pixel of last column of residence area image
First saltus step degree directly takes the first saltus step degree of the same column pixel of lastrow, last row of residence area image it is every
First saltus step degree of one pixel directly takes the first saltus step degree of colleague's pixel of previous column；It is additionally operable to for residential quarter
The pixel value of each pixel in area image, its pixel value is subtracted take absolute value after the pixel value of its same column downlink pixel with
The first absolute value is obtained, is taken absolute value after its pixel value to be subtracted to the pixel value of its following pixel of going together to obtain second absolutely
Value obtaining and as the second saltus step degree, wherein residence area image after being added the first absolute value with the second absolute value
Second saltus step degree of each pixel of last column directly takes the second saltus step degree of the same column pixel of lastrow, house
Second saltus step degree of each pixel of last row of area image directly takes the second jump of colleague's pixel of previous column
Change degree；And for the pixel value for each pixel in residence area image, by its first saltus step degree and its
Two saltus step degree compare, and it is final saltus step degree to take the maximum value between its first saltus step degree and its second saltus step degree；
Edge contrast equipment judges that equipment is connect with the sharpening level input equipment and the saltus step degree respectively, uses
In the pixel value for each pixel in residence area image, by its final saltus step degree and the default saltus step degree threshold
Value is compared, and each pixel of the default saltus step degree threshold value is more than or equal to for final saltus step degree, to its pixel value
Processing is sharpened with the pixel value that obtains that treated, each of the default saltus step degree threshold value is less than to final saltus step degree
Pixel, directly using its pixel value as treated pixel value, all pixels in residence area image treated pixel
Value forms the corresponding processed area image of residence area image；Motion target tracking equipment, for receiving the processed area
Area image carries out motion target tracking to obtain current kinetic target subgraph, to currently transporting to the processed area image
Moving-target subgraph carries out type identification to obtain the corresponding type of vehicle of current kinetic target subgraph, to current kinetic target
Subgraph carries out Car license recognition to obtain the corresponding vehicle license plate number of current kinetic target subgraph；Frequency duplex communications interface,
It connect, is used for the corresponding type of vehicle of current kinetic target subgraph and current kinetic with the motion target tracking equipment
The corresponding vehicle license plate number of target subgraph transmits at the server to neighbouring traffic control center.
More specifically, in the residence area Motion Object Tracking System：It is right in the area image capture apparatus
In each reference picture, contrast is higher, and signal quality tradeoff index is bigger, and signal-to-noise ratio is higher.
More specifically, in the residence area Motion Object Tracking System：It is right in the area image capture apparatus
In each reference picture, signal-to-noise ratio is higher, and it is bigger that signal quality weighs index.
More specifically, in the residence area Motion Object Tracking System：It is right in the area image capture apparatus
In each reference picture, dynamic range is bigger, and it is bigger that signal quality weighs index.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram according to the residence area Motion Object Tracking System shown in embodiment of the present invention.
Fig. 2 is to be set according to the shooting of the area image of the residence area Motion Object Tracking System shown in embodiment of the present invention
Standby block diagram.
Reference numeral：1TF storage chips；2 noise analysis equipment；3 area image capture apparatus；31 data-detection apparatus；
32 data analysis equipment；33 data output interfaces；34CCD photoelectric converters
Specific implementation mode
The embodiment of the residence area Motion Object Tracking System of the present invention is carried out specifically below with reference to accompanying drawings
It is bright.
Residence model refers to the living space range that one family independently uses.Popular says, refers to just used in every family
The size of housing unit." the set type " of house namely meets the living space type of different house type family lives.
For the size of dwelling unit type, typically provided with area index.The area standard of house is divided into：Small set
(often cover usable floor area and be no less than 18 square metres)；Middle set (often cover usable floor area and be no less than 30 square metres)；Big set (often covers using face
No less than 45 square metres of product).Define different dwelling unit type design standards.But not with the real-estate market of housing commercialization
Disconnected development, other than the policy-related houses such as affordable housing, publicly-owned house, the dwelling unit type standard of other houses is just becoming market-oriented.
It needs it is to be noted that before new Code for design of dwelling houses is unexecuted, residence model area index is come with " room "
It divides, " room " is usually room and living room in residential architecture.Usually, 12 square metres of room is no less than in house
Referred to as one " Room ", 6-12 square metres of rooms are known as half " room ", are less than 6 square metres, generally not counting " " number or " room " count,
Thus, residence model can divide a Room family, half family of a Room, two Room families, two Room, half family, three Room families, multicell family etc. again.
Requirement of the residence area to environment quiet is very harsh, wherein moving target is that influence residence area is quietly first
Factor is wanted, however, there is currently no nights to effective testing mechanism of residence area moving target.In order to overcome it is above-mentioned not
Foot, the present invention have built a kind of residence area motion target tracking method, and the method includes using residence area moving target
Tracking system when the noise amplitude detected is more than or equal to default decibel value to start to the moving target in residence area
Real-time tracking.
Fig. 1 is the block diagram according to the residence area Motion Object Tracking System shown in embodiment of the present invention, institute
The system of stating includes：TF storage chips, noise analysis equipment and area image capture apparatus.
Wherein, the TF storage chips, for prestoring first weight coefficient, second weight coefficient and institute
State third weight coefficient.
The noise analysis equipment is arranged in residence area, for detecting surrounding noise situation in real time, and is detecting
Noise amplitude when being more than or equal to default decibel value, send out noise interferences, otherwise, send out noise normal signal.
Wherein, the default decibel value is a variable changed based on current time.
The area image capture apparatus is arranged in residence area, near noise analysis equipment, with the noise point
Desorption device connects, and enters work from power down mode when receiving the noise interferences in power down mode under default conditions
Make state, the acquisition of real-time scene data is carried out to obtain and export residence area image to the major trunk roads in residence area.
Wherein, as shown in Fig. 2, the area image capture apparatus includes data-detection apparatus, data analysis equipment, data
Output interface and preset quantity, parallel arrangement of multiple CCD photoelectric converters.
Then, continue to carry out further the concrete structure of the residence area Motion Object Tracking System of the present invention
It is bright.
In the residence area Motion Object Tracking System：
In the area image capture apparatus, the multiple CCD photoelectric converters are towards the major trunk roads in residence area
Real-time scene data acquisition is carried out, each CCD photoelectric converter exports a reference picture；The data-detection apparatus difference
It is connect with the multiple CCD photoelectric converters, for receiving corresponding multiple reference pictures, extracts each reference picture respectively
Contrast, signal-to-noise ratio and dynamic range；
The data analysis equipment is connect with the data-detection apparatus, is used for the comparison based on each reference picture
Degree, signal-to-noise ratio and dynamic range determine the signal quality tradeoff index of each reference picture；
Wherein, each reference picture is determined based on the contrast of each reference picture, signal-to-noise ratio and dynamic range
Signal quality weighs index：The contrast of each reference picture is multiplied to acquisition first with the first weight coefficient to multiply
The signal-to-noise ratio of each reference picture and the second weight coefficient are multiplied to obtain the second product, by each reference picture by product
Dynamic range and third weight coefficient be multiplied to obtain third product, by first product, second product and institute
It states third product addition and weighs index to obtain the signal quality.
In the residence area Motion Object Tracking System：
In the area image capture apparatus, the data output interface is connect with the data analysis equipment, is used for
The signal quality of each reference picture tradeoff index is compared, using the signal quality tradeoff highest reference picture of index as
Residence area image exports.
In the residence area Motion Object Tracking System, the system also includes：
Sharpening level input equipment, the sharpening level for receiving input, and output determining according to the sharpening level are pre-
If saltus step degree threshold value, the sharpening level is higher, and the default saltus step degree threshold value is smaller；
Saltus step degree judges equipment, for receiving residence area image, for each pixel in residence area image
Pixel value, its pixel value is subtracted to the difference obtained after the pixel value of its same column downlink pixel and is done square to obtain first square
Its pixel value is subtracted the difference obtained after the pixel value of its following pixel of going together and done square to obtain the second square value by value, will
First square value obtains after being added with the second square value and progress evolution is to obtain the first saltus step degree, wherein residence area
First saltus step degree of each pixel of last column of image directly takes the first saltus step journey of the same column pixel of lastrow
Degree, the first saltus step degree of each pixel of last row of residence area image directly take colleague's pixel of previous column
First saltus step degree；It is additionally operable to the pixel value for each pixel in residence area image, it is same that its pixel value is subtracted it
It is taken absolute value after the pixel value of row downlink pixel to obtain the first absolute value, its pixel value is subtracted to the picture of its following pixel of going together
It is taken absolute value after plain value to obtain the second absolute value, it is being obtained after the first absolute value is added with the second absolute value and as second
Saltus step degree, wherein the second saltus step degree of each pixel of last column of residence area image directly takes lastrow
Same column pixel the second saltus step degree, residence area image last row each pixel the second saltus step degree it is direct
Take the second saltus step degree of colleague's pixel of previous column；And for the picture for each pixel in residence area image
Element value, its first saltus step degree is compared with its second saltus step degree, takes its first saltus step degree and its second saltus step degree
Between maximum value be final saltus step degree；
Edge contrast equipment judges that equipment is connect with the sharpening level input equipment and the saltus step degree respectively, uses
In the pixel value for each pixel in residence area image, by its final saltus step degree and the default saltus step degree threshold
Value is compared, and each pixel of the default saltus step degree threshold value is more than or equal to for final saltus step degree, to its pixel value
Processing is sharpened with the pixel value that obtains that treated, each of the default saltus step degree threshold value is less than to final saltus step degree
Pixel, directly using its pixel value as treated pixel value, all pixels in residence area image treated pixel
Value forms the corresponding processed area image of residence area image；
Motion target tracking equipment carries out the processed area image for receiving the processed area image
Motion target tracking carries out type identification to be worked as to obtain current kinetic target subgraph, to current kinetic target subgraph
The corresponding type of vehicle of preceding moving target subgraph carries out Car license recognition to obtain current kinetic to current kinetic target subgraph
The corresponding vehicle license plate number of target subgraph；
Frequency duplex communications interface is connect with the motion target tracking equipment, is used for current kinetic target subgraph
Corresponding type of vehicle and the corresponding vehicle license plate number of current kinetic target subgraph are transmitted to neighbouring traffic administration
At the server at center.
In the residence area Motion Object Tracking System：
In the area image capture apparatus, for each reference picture, contrast is higher, signal quality tradeoff
Index is bigger, and signal-to-noise ratio is higher.
In the residence area Motion Object Tracking System：
In the area image capture apparatus, for each reference picture, signal-to-noise ratio is higher, signal quality tradeoff
Index is bigger.
In the residence area Motion Object Tracking System：
In the area image capture apparatus, for each reference picture, dynamic range is bigger, signal quality power
The index that weighs is bigger.
In addition, the transmission that frequency division duplex refers to uplink and downlink carries out over different frequencies respectively.
In mode of frequency division duplexing, the transmission of uplink and downlink carries out over different frequencies respectively.It is former
Reason is as shown below.F1 and f2 is respectively carrying out the transmission frequency and receives frequency of a certain mobile station of business transmission.
In the first and second generation cellular system, it is substantially and duplex transmission is realized using FDD technologies.Especially
In generation cellular system, baseband signal is continuous due to transmission, it is necessary to the uplink and downlink of duplex is provided with different frequencies
Link channel.When transmitting continuous information using FDD technologies in first generation cellular system, transmitting-receiving two-end must all have generation different
The frequency synthesizer of carrier frequency, receiving terminal must also there are one prevent transmitting signals leakiness to receiver duplex filter
Device.In addition, for the ease of the making of duplexer, there is certain frequency interval between transmitting-receiving carrier frequency.In the second generation
In the systems such as GSM, IS-136 and IS-95, FDD technologies are also used.In such systems, due to information be with slotted mode into
Row transmission, transmitting-receiving can carry out in different time slots, and the transmitting signal of mobile station or base station will not generate this receiver
Interference.So although with FDD technologies, do not need expensive duplexer filter yet.
The characteristics of fdd mode is the system on two symmetrical frequency channels of separation (uplink and downlink frequency interval 190MHz)
It is received and is transmitted, reception and transmission channel are detached with protection frequency range.
Using technologies such as packet switch, the bottleneck of two generations development can be broken through, realizes high-speed data service, and frequency spectrum profit can be improved
With rate, increase power system capacity.But FDD must use pairs of frequency, i.e., third generation business is provided in the bandwidth of every 2x5MHz.
Which can make full use of the frequency spectrum of uplink and downlink, but in asymmetrical packet switch (internet) work when supporting symmetrical service
When making, the availability of frequency spectrum then substantially reduce (due to low ascending load, the availability of frequency spectrum is caused to reduce about 40%), in this regard,
The advantage that tdd mode has FDD incomparable.
Residence area Motion Object Tracking System using the present invention, for the hardly possible of night movement target detection in the prior art
Big technical problem is spent, obtains high-precision detection image by the way that image capture device is transformed, and introduce targetedly mesh
Mark testing mechanism in residence area moving target carry out real-time tracking, finally, by the corresponding type of vehicle of moving target with
And the corresponding vehicle license plate number of moving target transmits at the server to neighbouring traffic control center, to be investigation phase
Noise source is answered to provide valuable reference.
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, every content without departing from technical solution of the present invention is 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 (1)
1. a kind of residence area motion target tracking method, the method includes use residence area Motion Object Tracking System with
Start the real-time tracking to the moving target in residence area, institute when the noise amplitude detected is more than or equal to default decibel value
It includes TF storage chips, noise analysis equipment and area image capture apparatus to state residence area Motion Object Tracking System；It is described
TF storage chips are for prestoring the first weight coefficient, the second weight coefficient and third weight coefficient；The noise analysis is set
Standby setting for detecting surrounding noise situation in real time, and is more than or equal in the noise amplitude detected and presets in residence area
When decibel value, noise interferences are sent out, otherwise, send out noise normal signal, wherein the default decibel value is one and is based on
Current time and the variable changed；The area image capture apparatus is arranged in residence area, near noise analysis equipment,
It is connect with the noise analysis equipment, power down mode is under default conditions, when receiving the noise interferences, from province
Electricity condition enters working condition, and the acquisition of real-time scene data is carried out to obtain and export residential quarter to the major trunk roads in residence area
Area image；
Wherein, the area image capture apparatus includes data-detection apparatus, data analysis equipment, data output interface and pre-
If quantity, parallel arrangement of multiple CCD photoelectric converters；
It is characterized in that：
In the area image capture apparatus, the multiple CCD photoelectric converters are carried out towards the major trunk roads in residence area
Real-time scene data acquire, each CCD photoelectric converter exports a reference picture；The data-detection apparatus respectively with institute
Multiple CCD photoelectric converters connections are stated, for receiving corresponding multiple reference pictures, extract pair of each reference picture respectively
Than degree, signal-to-noise ratio and dynamic range；The data analysis equipment is connect with the data-detection apparatus, for based on each ginseng
Contrast, signal-to-noise ratio and the dynamic range for examining image determine the signal quality tradeoff index of each reference picture；
Wherein, the signal of each reference picture is determined based on the contrast of each reference picture, signal-to-noise ratio and dynamic range
Quality weighs index：The contrast of each reference picture and the first weight coefficient are multiplied to obtain the first product, it will
The signal-to-noise ratio of each reference picture and the second weight coefficient are multiplied to obtain the second product, by the dynamic of each reference picture
Range is multiplied to obtain third product with third weight coefficient, by first product, second product and the third
Product addition weighs index to obtain the signal quality；
In the area image capture apparatus, the data output interface is connect with the data analysis equipment, and being used for will be each
The signal quality tradeoff index of a reference picture is compared, and signal quality is weighed the highest reference picture of index as house
Area image exports；
The system also includes：
Sharpening level input equipment, the sharpening level for receiving input, and output determining according to the sharpening level is default to jump
Change degree threshold value, the sharpening level is higher, and the default saltus step degree threshold value is smaller；
Saltus step degree judges equipment, for receiving residence area image, for the picture of each pixel in residence area image
Its pixel value is subtracted the difference obtained after the pixel value of its same column downlink pixel and done square to obtain the first square value by element value,
Its pixel value is subtracted to the difference obtained after the pixel value of its following pixel of going together to do square to obtain the second square value, by first
Square value obtains after being added with the second square value and progress evolution is to obtain the first saltus step degree, wherein residence area image
Last column each pixel the first saltus step degree directly take lastrow same column pixel the first saltus step degree, firmly
First saltus step degree of each pixel of last row of quarter area image directly takes the first of colleague's pixel of previous column
Saltus step degree；It is additionally operable to the pixel value for each pixel in residence area image, its pixel value is subtracted under its same column
It is taken absolute value after the pixel value of row pixel to obtain the first absolute value, its pixel value is subtracted to the pixel value of its following pixel of going together
After take absolute value to obtain the second absolute value, it is being obtained after the first absolute value is added with the second absolute value and as the second saltus step
Degree, wherein the second saltus step degree of each pixel of last column of residence area image directly takes the same of lastrow
Second saltus step degree of the second saltus step degree of row pixel, each pixel of last row of residence area image is directly taken
Second saltus step degree of colleague's pixel of previous column；And for the pixel for each pixel in residence area image
Value, its first saltus step degree is compared with its second saltus step degree, take its first saltus step degree and its second saltus step degree it
Between maximum value be final saltus step degree；
Edge contrast equipment judges that equipment is connect with the sharpening level input equipment and the saltus step degree respectively, for pair
The pixel value of each pixel in residence area image, by its final saltus step degree and the default saltus step degree threshold value into
Row compares, and each pixel of the default saltus step degree threshold value is more than or equal to for final saltus step degree, is carried out to its pixel value
Edge contrast is less than final saltus step degree on each picture of the default saltus step degree threshold value with the pixel value that obtains that treated
Element, directly using its pixel value as treated pixel value, all pixels in residence area image treated pixel value
Form the corresponding processed area image of residence area image；
Motion target tracking equipment moves the processed area image for receiving the processed area image
Target following carries out type identification to obtain current fortune to obtain current kinetic target subgraph, to current kinetic target subgraph
The corresponding type of vehicle of moving-target subgraph carries out Car license recognition to obtain current kinetic target to current kinetic target subgraph
The corresponding vehicle license plate number of subgraph；
Frequency duplex communications interface is connect with the motion target tracking equipment, for corresponding to current kinetic target subgraph
Type of vehicle and the corresponding vehicle license plate number of current kinetic target subgraph transmit to neighbouring traffic control center
Server at；
In the area image capture apparatus, for each reference picture, contrast is higher, and signal quality weighs index
Bigger, signal-to-noise ratio is higher；
In the area image capture apparatus, for each reference picture, signal-to-noise ratio is higher, and signal quality weighs index
It is bigger；
In the area image capture apparatus, for each reference picture, dynamic range is bigger, and signal quality tradeoff refers to
Number is bigger.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710758443.0A CN107564043B (en) | 2017-08-29 | 2017-08-29 | A kind of residence area motion target tracking method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710758443.0A CN107564043B (en) | 2017-08-29 | 2017-08-29 | A kind of residence area motion target tracking method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107564043A CN107564043A (en) | 2018-01-09 |
| CN107564043B true CN107564043B (en) | 2018-09-18 |
Family
ID=60977446
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710758443.0A Active CN107564043B (en) | 2017-08-29 | 2017-08-29 | A kind of residence area motion target tracking method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107564043B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108726590B (en) * | 2018-02-27 | 2019-04-05 | 山东同其智能科技有限公司 | Water body purification control method |
| CN108298607B (en) * | 2018-02-27 | 2019-01-18 | 北京市众诚恒祥能源投资管理有限公司 | Water body purification control system |
| CN112085927B (en) * | 2019-06-15 | 2022-09-27 | 湖北讯泰通信电子有限公司 | Reliable target monitoring system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104330113A (en) * | 2014-11-12 | 2015-02-04 | 上海市环境监测技术装备有限公司 | Environmental multi-parameter online acquiring monitoring device |
| CN104573387A (en) * | 2015-01-26 | 2015-04-29 | 深圳市冠旭电子有限公司 | Noise map drawing method and device |
| CN104794894A (en) * | 2015-01-29 | 2015-07-22 | 青岛智能产业技术研究院 | Automobile whistle noise monitoring device, system and method |
| CN105300510A (en) * | 2014-07-28 | 2016-02-03 | 斗山重工业株式会社 | Intelligent noise monitoring device and noise monitoring method using the same |
| CN106527256A (en) * | 2016-10-21 | 2017-03-22 | 昆明理工大学 | Embedded system of monitoring decibels in real time |
-
2017
- 2017-08-29 CN CN201710758443.0A patent/CN107564043B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105300510A (en) * | 2014-07-28 | 2016-02-03 | 斗山重工业株式会社 | Intelligent noise monitoring device and noise monitoring method using the same |
| CN104330113A (en) * | 2014-11-12 | 2015-02-04 | 上海市环境监测技术装备有限公司 | Environmental multi-parameter online acquiring monitoring device |
| CN104573387A (en) * | 2015-01-26 | 2015-04-29 | 深圳市冠旭电子有限公司 | Noise map drawing method and device |
| CN104794894A (en) * | 2015-01-29 | 2015-07-22 | 青岛智能产业技术研究院 | Automobile whistle noise monitoring device, system and method |
| CN106527256A (en) * | 2016-10-21 | 2017-03-22 | 昆明理工大学 | Embedded system of monitoring decibels in real time |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107564043A (en) | 2018-01-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107564043B (en) | A kind of residence area motion target tracking method | |
| US10063287B2 (en) | Base station router for distributed antenna systems | |
| CN107392186B (en) | Residence area Motion Object Tracking System | |
| CN104067530B (en) | The telecommunication distribution system of optimization | |
| US7843333B2 (en) | System, methods, devices and computer program products for controlling electronic appliances within a local area | |
| CN101640789B (en) | Monitor terminal, monitor method and remote monitor system used for remote monitoring | |
| CN108616840A (en) | A kind of method and device that vehicle communicates extraneous V2X | |
| CN105282774B (en) | A kind of wireless signal transmission method and wireless access point | |
| EP3155837B1 (en) | Adaptive beacon transmission | |
| CN104113832A (en) | Power control method and power control system used for direct communication of terminal, and base station | |
| CN108985267B (en) | Audience seat identity on-site identification system | |
| US20180176867A1 (en) | Headend device of distributed antenna system and signal processing method thereof | |
| CN113179509B (en) | Ad hoc network method and device based on WiFi, storage medium and wireless node | |
| CN108476221B (en) | Signal processing method, device and monitoring device of unmanned aerial vehicle | |
| CN106535205A (en) | Frequency re-farming cell setting method and system | |
| CN1216506C (en) | Channel entering method for radio communication system and user station | |
| CN107911875A (en) | Intelligent base station based on personnel's detection | |
| US11729664B2 (en) | Allocating resources for communication and sensing services | |
| CN109224462B (en) | Trojan horse passenger full state analysis method | |
| KR20170043007A (en) | Method and apparatus for detecting entry and departure of device about geographical area | |
| CN108141292A (en) | Merge signal in radio-cell | |
| CN108988969A (en) | A kind of frequency spectrum sensing method and device based on energy measuring | |
| CN102227933A (en) | Radio station apparatus, wireless communication system and wireless communication control method | |
| CN107479853B (en) | A kind of convenient method for adjusting volume | |
| CN105850198B (en) | For determining the method and network node of the position of wireless device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20180809 Address after: 210000 2, B unit 300, Zhihui Road, Kirin science and Technology Innovation Park, Jiangning District, Nanjing, Jiangsu. Applicant after: NANJING TAOTESI SOFTWARE TECHNOLOGY Co.,Ltd. Address before: 214016 1906, 1908-257, Guang Rui Road, Liang Xi District, Wuxi, Jiangsu Applicant before: WUXI BEIDOUXINGTONG INFORMATION TECHNOLOGY Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20190809 Address after: 210000 Building 8, No. 100 Tianjiao Road, Kirin Science and Technology Innovation Park, Nanjing, Jiangsu Province Patentee after: Nanjing Anxia Electronic Technology Co.,Ltd. Address before: 210000 Building 2, 300B Zhihui Road, Qilin Science and Technology Innovation Park, Jiangning District, Nanjing City, Jiangsu Province Patentee before: NANJING TAOTESI SOFTWARE TECHNOLOGY Co.,Ltd. |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A method of moving target tracking in residential area Effective date of registration: 20230221 Granted publication date: 20180918 Pledgee: Nanjing Branch of Jiangsu Bank Co.,Ltd. Pledgor: Nanjing Anxia Electronic Technology Co.,Ltd. Registration number: Y2023980033064 |