CN106355723A - Method based on images for counting operation personnel in mine - Google Patents
Method based on images for counting operation personnel in mine Download PDFInfo
- Publication number
- CN106355723A CN106355723A CN201610908916.6A CN201610908916A CN106355723A CN 106355723 A CN106355723 A CN 106355723A CN 201610908916 A CN201610908916 A CN 201610908916A CN 106355723 A CN106355723 A CN 106355723A
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- camera
- operation area
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- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000010276 construction Methods 0.000 claims description 2
- 239000003245 coal Substances 0.000 abstract description 6
- 238000012544 monitoring process Methods 0.000 abstract description 2
- 238000012512 characterization method Methods 0.000 abstract 1
- 230000037396 body weight Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 230000017105 transposition Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a method based on images for counting operation personnel in a mine. The method comprises the steps: observing an operating zone with one or a plurality of cameras, dispersing the operating zone into small regions, constructing a camera observed primitive dictionary D, and solving x to obtain the number of personnel by using the relation among a characterization camera observed value y, a small region duty status value x and the dictionary D (as shown in the specification). The method can automatically count the number of the operation personnel in a coal mine without initiative cooperation of the personnel, thereby realizing non-interference real-time monitoring.
Description
Technical field
The present invention relates to coal mine underground operators method of counting, more particularly, to a kind of mine operation personnel based on image
Method of counting.
Background technology
In order to prevent colliery spy, major accident occurs, and colliery forbids overdetermination person to produce, monitor in real time coal mine operation people
Number is to prevent one of effective measures of overdetermination person's production.At present, coal mine operation number is to carry mark by personnel in the pit
Card counting, the many people of identification card system None- identified one card phenomenon, and often skip occurs, thus be unable to accurate counting colliery
Underground operators.
Need a kind of coal mine operation people solving or at least improving intrinsic one or more problems in prior art
Member's method of counting.
Content of the invention
It is an object of the invention to provide a kind of mine operation personnel method of counting based on image, the method can be to coal
Under mine, operation area number counts automatically, cooperates with one's own initiative without personnel, realizes noiseless monitoring.
According to a kind of embodiment form, provide a kind of mine operation personnel method of counting based on image, the inventive method
Technical scheme comprise the steps:
A. in operation area periphery, one or more camera is installed, each viewing field of camera overwrite job area;
B. operation area is separated into n not overlapping subregion, with one-dimensional vector x ∈ { 0,1 }nExpression n sub-regions duty
State, 1 expression this subregion someone, 0 represents that this subregion is unmanned;
C. use ore deposit staff's model of scattering of some typical bodies, build camera looks into fee primitive dictionary d ∈ { 0,1 }m×n, row in dictionary
djConstruction method is: operation area has and only one of which model personnel are located at j-th subregion, will observe all cameras of operation area
Observe vector cascade, that is, assume that the observation vector of p-th camera isThen
Wherein mpFor the image pixel number of p-th camera,P is the camera number of configuration;
When d. counting, operation area configuration camera obtains observing vector, solve
In x, in x the number of " 1 " be operation area number, wherein z ∈ { 0,1 }mFor noise vector, computing on the right of equation is boolean
Algebraic operation.
Brief description
By following explanation, accompanying drawing embodiment becomes aobvious and has seen, it is at least one preferred only be described in conjunction with the accompanying
But the way of example of non-limiting example is given.
Fig. 1 is the principle schematic of the inventive method.
Specific embodiment
Fig. 1 is the principle schematic of the inventive method.In operation area periphery, one or more camera is installed, each camera
Visual field all overwrite job areas, by operation area be divided into the sizes such as n as 70cm × 70cm subregion it is assumed that every sub-regions
A people how can only be accommodated, the duty state of n sub-regions is with vector x ∈ { 0,1 }nRepresent, 1 expression this subregion someone, 0 table
Show that this subregion is unmanned.
Build camera looks into fee primitive dictionary d ∈ { 0,1 }m×n, column vector d in dictionary djBuild with the following method: it is assumed that joining
Putting camera has p, with height in 170cm about body weight be about the underground operators of average weight as model, in operation
When area has and only model personnel are located at j-th subregion, each camera records a width operation area scene image, by each phase
The pixel belonging to personnel in the scene image of machine record is labeled as 1, and other is context marker is 0, and the image after labelling is used one
Dimensional vector represents referred to as observes vector it is assumed that the observation vector of p-th camera isSight by all cameras
Examine vector cascade, that is,WhereinmpImage pixel for p-th camera
Number, t represents transposition.
During counting, configure cameras record operation area scene image, obtain observing vector
WhereinFor the observation vector of p-th camera, solveIn x, in x, 1 number is operation
The number in area, wherein z ∈ { 0,1 }mFor noise vector, computing on the right of equation is boolean calculation.
To solveProblem state as:
Wherein, setc (x) :={ j:xj=1 } in expression x, element value is 1 index set
| | represent the number seeking contained element in set
E is maximum noise digit, i.e. | setc (z) |≤e
CauseIn imply x in duty state vector xj=1 element and dictionary row djCorresponding relation, therefore
The problems referred to above can use following Algorithm for Solvings:
|input paramete: y, d, e, β
1. initialization setγ is empty set,
2.for j=1,2 ..., n
if|setc(dj) setc (y) |≤e, then
Wherein,.. represent the difference asking two set
3. ask
4. update
5.If e is > e, repeat step 3~5
6. exportIt is personnel's number.
Claims (1)
1. a kind of mine operation personnel method of counting based on image is it is characterised in that comprise the following steps:
A. in operation area periphery, one or more camera is installed, each viewing field of camera overwrite job area;
B. operation area is separated into n not overlapping subregion;
C. the miner using scattering of some typical bodies, as personnel's model, builds camera looks into fee primitive dictionary d ∈ { 0,1 }m×n, row in dictionary
djConstruction method is: operation area has and only one of which model personnel are located at j-th subregion, and operation area configures camera looks into fee
Operation area, cascades the observation vector of each camera, that is, assumes that the observation vector of p-th camera isThenWherein mpFor the image pixel number of p-th camera,P is configuration
Camera number;
When d. counting, operation area configuration camera looks into fee operation area obtains observing vectorSolveIn x, x ∈ { 0,1 }nRepresent n sub-regions duty state, 1 expression this subregion someone, 0 this sub-district of expression
Domain is unmanned, and in x, the number of " 1 " is the number of operation area, z ∈ { 0,1 }mFor noise vector,The computing of middle the right
For boolean calculation.
Priority Applications (1)
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CN201610908916.6A CN106355723B (en) | 2016-10-19 | 2016-10-19 | Mine operation personnel method of counting based on image |
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CN201610908916.6A CN106355723B (en) | 2016-10-19 | 2016-10-19 | Mine operation personnel method of counting based on image |
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CN106355723A true CN106355723A (en) | 2017-01-25 |
CN106355723B CN106355723B (en) | 2018-08-14 |
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CN201610908916.6A Expired - Fee Related CN106355723B (en) | 2016-10-19 | 2016-10-19 | Mine operation personnel method of counting based on image |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000099894A (en) * | 1998-09-17 | 2000-04-07 | Omron Corp | Parking lot guiding system |
CN101656023A (en) * | 2009-08-26 | 2010-02-24 | 西安理工大学 | Management method of indoor car park in video monitor mode |
CN103473950A (en) * | 2012-06-06 | 2013-12-25 | 刘鉵 | Parking lot parking space monitoring method |
CN105513043A (en) * | 2015-11-20 | 2016-04-20 | 中国矿业大学(北京) | Method for counting workers underground coal mine based on vision |
CN205540882U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Mine work personnel counting assembly based on vision |
CN205545698U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Colliery borehole operation personnel alarm system that overmans |
CN205532722U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Mine work personnel alarm system that overmans based on vision |
-
2016
- 2016-10-19 CN CN201610908916.6A patent/CN106355723B/en not_active Expired - Fee Related
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2000099894A (en) * | 1998-09-17 | 2000-04-07 | Omron Corp | Parking lot guiding system |
CN101656023A (en) * | 2009-08-26 | 2010-02-24 | 西安理工大学 | Management method of indoor car park in video monitor mode |
CN103473950A (en) * | 2012-06-06 | 2013-12-25 | 刘鉵 | Parking lot parking space monitoring method |
CN105513043A (en) * | 2015-11-20 | 2016-04-20 | 中国矿业大学(北京) | Method for counting workers underground coal mine based on vision |
CN205540882U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Mine work personnel counting assembly based on vision |
CN205545698U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Colliery borehole operation personnel alarm system that overmans |
CN205532722U (en) * | 2016-04-07 | 2016-08-31 | 中国矿业大学(北京) | Mine work personnel alarm system that overmans based on vision |
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CN106355723B (en) | 2018-08-14 |
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Granted publication date: 20180814 Termination date: 20201019 |