CN110166744A - A kind of monitoring method violating the regulations of setting up a stall based on video geography fence - Google Patents
A kind of monitoring method violating the regulations of setting up a stall based on video geography fence Download PDFInfo
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- CN110166744A CN110166744A CN201910350804.7A CN201910350804A CN110166744A CN 110166744 A CN110166744 A CN 110166744A CN 201910350804 A CN201910350804 A CN 201910350804A CN 110166744 A CN110166744 A CN 110166744A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 24
- 239000011159 matrix material Substances 0.000 claims abstract description 19
- 238000013507 mapping Methods 0.000 claims abstract description 12
- 238000012549 training Methods 0.000 claims description 10
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 abstract description 4
- 239000000284 extract Substances 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 7
- 230000006399 behavior Effects 0.000 description 4
- 235000021152 breakfast Nutrition 0.000 description 4
- 238000001514 detection method Methods 0.000 description 4
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- 238000006243 chemical reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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Abstract
The monitoring method violating the regulations of setting up a stall based on video geography fence that the invention discloses a kind of, comprising the following steps: S1: draw the ruler map of video monitoring regional；S2: establishing video image space and geographical space mapping relations, obtains corresponding homography matrix；S3: geography fence region is established, extracts the fundamental of fence, the fundamental of the fence includes place, time, target and rule；S4: the inverse matrix based on the homography matrix that the fence band of position obtained in S3 and S2 obtain establishes the two-way linkage of sdi video and geography fence；S5: using deep learning method, manages facility's objectives to the flowing in video and identifies；S6: according to the positional relationship between point and polygon, judge that the positional relationship of facility's objectives and geography fence is managed in flowing, determine whether there is violating the regulations set up a stall.
Description
Technical field
The present invention relates to a kind of, and the detection method violating the regulations of setting up a stall based on video geography fence is specifically by video
The technical methods such as reason fence, deep learning images steganalysis are identified, positioned and are judged to violating the regulations set up a stall.The present invention relates to
City management monitoring technology field.
Background technique
Since 21 century, China is in the social transformation stage sharply, along with the rapid development of current social economy, city
The quickening of city's process, city size constantly expand, and urban population is also being continuously increased, citizen's behavioral activity increasingly complex and
Diversification.The uncontrollable factor of social human behavior, which increases, brings huge pressure to community service and monitoring control.In public affairs
Place altogether, steal plunder, it is violated cross, lane change violating the regulations, occupy phenomena such as public domain in violation of rules and regulations and occur again and again so that security protection, friendship
The service in the fields such as logical, city management, supervision early warning become current Chinese society and develop Important Problems urgently to be resolved
(the design and realization of urban grid management and service system of Li Deren, Peng Mingjun, the Shao Zhenfeng based on spatial database
[J] Wuhan University Journal: information science version, 2006,31 (6): 471-475.).Traditional city management mode under this background
Being pushed further into for new period urbanization is not adapted to.The innovation of modern science and technology and information technology develops, and is also city
The innovation of city's management mode provides more references and technical support.(Chen Ping Digital Urban Management Model analyses the north [J]
Capital college journal: philosophy and the social sciences version, 2006, Vol.43 (1): 142-148；Wang R,Li S.Research about
Current Condition and Development of Digital Urban Management in Chongqing
[C].International Conference on Control.IEEE,2011.)。
Traditional departmentalization Urban management mode is due to information asymmetry, shortage supervision check-and-balance system, it is difficult to pendulum violating the regulations
Booth phenomenon is managed, and main cause has following: 1) such stand mobility is big, without fixed place；2) such to set up a stall
The personnel of setting up an office are mostly the self-employed personnel of long campaigns；3) city is only limitted to for this kind of source of deploying to ensure effective monitoring and control of illegal activities set up a stall at present
Administrative staff's timing inspection or reports, can not accomplish (YUN weekly assembly etc. of deploying to ensure effective monitoring and control of illegal activities in all directions, in time, and one kind is built based on background
The city of mould is set up a stall detection method, patent of invention, CN108012117A).In recent years, country make energetically smart city,
Its net engineering, so that monitoring is throughout each corner in city, but only a small amount of monitoring is set up a stall supervision for city, and city is set up a stall
It sets up an office and manages the main mode for using personnel's On-line monitor, this results in supervision not in time, not comprehensively, and then leads to human resources
Waste and monitoring device utilize not in place.This assault formula, campaign-styled management simultaneously are easy to cause government administration section and society
The conflict of the common people seriously affects the building of harmonious society.
The present invention uses video geography fence technology, proposes a kind of intellectualized detection manager towards phenomenon violating the regulations of setting up a stall
Method solves to ask this field way to manage is not perfect, technological means is immature etc. at present to change traditional cities management mode
Topic.
Video geography fence (Geo-fencing) is to be referred to based on a kind of new opplication of location-based service (LBS) development with void
Quasi- fence crosses a virtual geographical frontier, when target entrance or leaves some specific geographical area, or in the area
When movable, video sensor terminal can receive corresponding information on services, notice and warning automatically, and (Huang Jun is based on Android system
Design and realization [D] University Of Ningbo of the long-range monitoring of system with control system, 2014.).Video geography fence technology has double
To the features such as linkage, Passive Positioning, target be visual, the coordinates of targets of video geography fence border and acquisition can be realized in video
Linkage under spatial scene shows and stores；This passive type positioning is so that the service of fence or monitoring objective are more comprehensive simultaneously
Change and generalization, will not generate by sensor hardware equipment and target itself behavior institute and caused by fence target omit,
And including the positioning visual information abundant such as target geographic coordinate, foreground information, color characteristic, geometric profile, for city
Management etc. has significant application value.
Currently, video geography fence technology can be widely applied to multiple fields, and such as in safety-security area, video geography fence
Monitoring objective be mainly pedestrian, vehicle and important item, it is intended to protect public property safety and citizen's personal safety；In traffic
In field, the monitoring objective of video geography fence is motor vehicles, is mainly carried out to the unlawful practice on traffic route pre-
Alert and timely progress information push.In field of power system, video geography fence by being with power line three-dimensional buffer
Fence boundary position, when object enter the buffer area and be touching power line quick response, alarm in advance, support personnel safety
(Wang Sining video geography fence and application [D] Nanjing Normal University, 2015.).
Summary of the invention
Critical issue to be solved by this invention is the deficiency for traditional cities management mode, by the way that geography fence is arranged
And sdi video is mapped to, facility is managed to the flowing in video and is identified and is positioned, judges it and the ground established
The positional relationship between fence is managed, violating the regulations set up a stall is determine whether according to fence rule.Therefore, the invention proposes one kind to be based on
The detection method violating the regulations of setting up a stall of video geography fence.
The invention discloses a kind of based on video geography fence it is violating the regulations set up a stall monitoring method the following steps are included:
Step 1: according to the mapping relations in video image space and geographical space, by pre-set geography fence region
Video image space is mapped to, the two-way linkage of video image space and geography fence region is established；
Step 2: the positional relationship of facility's objectives and geography fence region is managed according to the flowing in monitoring video flow, is sentenced
It is disconnected to whether there is violation phenomenon.
Further, geography fence region is determined according to the fundamental of geography fence, the fundamental includes monitoring
Time, monitoring place, monitoring objective and Monitoring Rules.
Further, the obtaining step of the mapping relations of the video image space and geographical space includes:
Obtain monitoring video flow in any piece image, on this image with the two-dimensional map of pre-rendered monitoring area
Upper acquisition corresponding dot pair；
According to corresponding dot pair on image and two-dimensional map corresponding image coordinate and geographical coordinate, establish video image sky
Between and geographical space mapping relations, obtain corresponding homography matrix；
Described the step of pre-set geography fence region is mapped to video image space includes: according to homography matrix
Inverse matrix, geography fence region is mapped into video image space.
Further, the quantity of the corresponding dot pair is no less than 4 pairs, and corresponding dot pair cannot be all conllinear.
Further, the place of the geography fence region and rule pass through the typing of element text information and restricted language solution
Analysis method, which combines, to be determined.
Further, the identification step of the flowing operation facility's objectives in the monitoring video flow includes:
Facility's objectives picture is managed according to flowing, flowing is established and manages facility's objectives image data set, and target is carried out
Mark；
Using SSD model and TensorFlow frame, facility's objectives image data set is managed to flowing and is trained, is obtained
Corresponding training result model；
According to training result model, each frame image in monitoring video flow is detected, determines flowing warp therein
Facility's objectives are sought, and obtain location information.
The utility model has the advantages that the characteristics of the present invention is based on video geography fences, introducing the technology in city management field can be right
The violating the regulations phenomenon of setting up a stall in city carries out more scientific, effectively and reasonably monitoring management.Meanwhile it is violating the regulations based on video geography fence
Monitoring method of setting up a stall computational efficiency is high, notice setting fence fundamental, being capable of automatic discrimination and bullet when violation phenomenon occurs
Warning window out improves the high efficiency, real-time and accuracy of monitoring.
Detailed description of the invention
Fig. 1 is geography fence element regulation schematic diagram of the present invention；
Fig. 2 is breakfast cart data set mark schematic diagram of the present invention；
Fig. 3 is general effect schematic diagram of the present invention.
Specific embodiment
The present invention is further explained with reference to the accompanying drawings and examples.
Basic ideas of the invention: the large-scale map near monitoring crossing is obtained；Monitoring video flow is accessed, it is obtained
In piece image, acquire corresponding dot pair on video image and two-dimensional map, obtain the image coordinate of same place and geographical sit
Mark, it is established that the mapping relations in video image space and geographical space；Fence place element, target type element, time are set
Element and fence rule；Using homography matrix, the fence corresponding position that setting is completed is mapped into sdi video, establishes view
The two-way linkage in frequency space and geography fence；By deep learning target identification method, to the flowing in video manage facility into
Row identifies and determines its specific location；Judge that its positional relationship between established geography fence determines it if breaking the rules
It sets up a stall to be violating the regulations.
Embodiment 1:
The pendulum violating the regulations based on video geography fence of the present embodiment is set up a stall monitoring method, comprising the following steps:
Step 1: drawing the ground that the scale bar near video monitoring regional is 1:200 using topographic map drawing method
Figure.
Second step, the foundation in video image space and geographical space mapping relations: the mapping relations are established is first
Monitoring video flow is accessed, piece image therein is obtained, corresponding dot pair is acquired on video image and two-dimensional map, is obtained of the same name
The image coordinate and geographical coordinate of point, it is established that the mapping relations in video image space and geographical space obtain corresponding list and answer
Matrix.Wherein, corresponding dot pair quantity should be no less than four pairs, and cannot be all conllinear.
Above-mentioned homography matrix calculation method are as follows:
The image coordinate and geographical coordinate of same place are obtained, is indicated are as follows:
Wherein, s is proportionality coefficient, and H is homography matrix, it includes the physical conversion and camera intrinsic parameter square between image
Battle array two parts, obtain following linear equation:
Corresponding dot pair is substituted into above-mentioned equation, homography matrix H can be obtained.
Third step, the extraction of fence fundamental: the fence fundamental includes monitoring place, monitoring time, prison
Target, Monitoring Rules etc. are surveyed, the method being combined with each other by the modes such as the typing of element text information and restricted language parsing is established
The information such as region, the rule of geography fence, fence area determine its boundary position, fence effect by the way of hand drawn
Time and specific rules are determined by drop-down option, and initial time " 7:00 " such as is arranged, and are terminated time " 9:00 ", fence rule
For " forbidding intersecting with face ", for indicating the region no peddler.
The two-way linkage of 4th step, sdi video and geography fence: the geography fence location information that will be obtained in third step,
By obtaining the inverse matrix of homography matrix in second step, geography fence is mapped into sdi video, establishes sdi video and geography
The two-way linkage of fence.
The identification of facility is managed in 5th step, flowing:
Acquisition flowing manages the foundation flowing of facility's objectives picture and manages facility's objectives image data set, utilizes label_img
Tool is labeled interesting target；
Using SSD (Single-Shot Detector) model and TensorFlow frame, to the data set of foundation into
Row training, obtains corresponding training result model；
Using training result model, each frame image in monitoring video flow is detected, determines flowing booth therein
Position target, and obtain its position；
6th step, the judgement of behavior violating the regulations of setting up a stall.
The behavior decision rule violating the regulations of setting up a stall is to judge pitch flow according to the positional relationship between point and polygon
It is determined as with the positional relationship of geography fence determined in second step if target is located in fence area in set period of time
Violation phenomenon；Conversely, being not belonging to violating the regulations set up a stall.
Embodiment 2:
The first step, relevant device prepare: one portable notebook computer of preparation, and high definition monitoring camera one.
The acquisition of second step, large-scale map draws the ratio near video monitoring regional using topographic map drawing method
The map that example ruler is 1:200.
Third step, the method acquired by same place, obtain the respective coordinates point pair of video image and geographical space, calculate
The homography matrix of video image and map space constructs the mutual mapping relations of video image and geographical space.
4th step determines fence element, and the position of fence boundary is determined by the way of the choosing of manual frame, is selected by drop-down
Item determines fence action time and specific rules, as shown in Figure 1, realizing the elements recognition to geography fence.
5th step, using the inverse matrix for acquiring homography matrix in third step, the geographical coordinate of fence boundary is converted into prison
Image coordinate is controlled, and draws fence area, thus establishes the two-way linkage of sdi video and geography fence.
6th step identifies pitch flow using deep learning method, and the present embodiment is by taking breakfast cart as an example:
(1) breakfast cart image data set is initially set up, from network collection correlation breakfast cart image, data volume sample size is about
10000, and target is labeled using label_img tool, as shown in Figure 2.
(2) SSD model and TensorFlow frame are used, the data set established in (1) is utilized to be trained, training
About 10000 step of process, obtains corresponding training result model.
(3) the training result model in (2) is utilized, each frame image in video flowing is detected, is determined therein
Pitch flow target, and obtain its image coordinate.
7th step, according to the positional relationship between point and polygon, judge to determine geography in pitch flow and second step
The positional relationship of fence is set up a stall if it within fence, determines that it is violating the regulations.
Claims (6)
1. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence, it is characterised in that: the following steps are included:
Step 1: according to the mapping relations in video image space and geographical space, pre-set geography fence region is mapped
To video image space, the two-way linkage of video image space and geography fence region is established；
Step 2: managing the positional relationship of facility's objectives and geography fence region according to the flowing in monitoring video flow, and judgement is
It is no that there are violation phenomenons.
2. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence according to claim 1, it is characterised in that: root
Geography fence region is determined according to the fundamental of geography fence, and the fundamental includes monitoring time, monitoring place, monitoring mesh
Mark and Monitoring Rules.
3. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence according to claim 1, it is characterised in that: institute
The obtaining step for stating the mapping relations of video image space and geographical space includes:
Any piece image in monitoring video flow is obtained, is adopted on this image on the two-dimensional map of pre-rendered monitoring area
Collect corresponding dot pair；
According to corresponding dot pair on image and two-dimensional map corresponding image coordinate and geographical coordinate, establish video image space and
The mapping relations of geographical space obtain corresponding homography matrix；
Described the step of pre-set geography fence region is mapped to video image space includes: according to the inverse of homography matrix
Geography fence region is mapped to video image space by matrix.
4. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence according to claim 3, it is characterised in that: institute
The quantity for stating corresponding dot pair is no less than 4 pairs, and corresponding dot pair cannot be all conllinear.
5. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence according to claim 2, it is characterised in that: institute
The place and rule for stating geography fence region are combined by the typing of element text information and restricted language analytic method to be determined.
6. a kind of monitoring method violating the regulations of setting up a stall based on video geography fence according to claim 1, it is characterised in that: institute
State in monitoring video flow flowing manage facility's objectives identification step include:
Facility's objectives picture is managed according to flowing, flowing is established and manages facility's objectives image data set, and target is labeled；
Using SSD model and TensorFlow frame, facility's objectives image data set is managed to flowing and is trained, obtained corresponding
Training result model；
According to training result model, each frame image in monitoring video flow is detected, determines that flowing operation therein is set
Target is applied, and obtains location information.
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Cited By (4)
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| CN111080952A (en) * | 2020-01-13 | 2020-04-28 | 贵州安防工程技术研究中心有限公司 | Feedback type regional intrusion detection method and system based on real-time video and rules |
| CN112153107A (en) * | 2020-08-12 | 2020-12-29 | 上海新爱季信息技术有限公司 | Stall management method |
| CN112288613A (en) * | 2020-11-14 | 2021-01-29 | 浙江信电技术股份有限公司 | City management comprehensive law enforcement system |
| CN113676696A (en) * | 2020-05-14 | 2021-11-19 | 杭州萤石软件有限公司 | Target area monitoring method and system |
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Application publication date: 20190823 |