CN110324589A - A kind of monitoring system and method for tourist attraction - Google Patents
A kind of monitoring system and method for tourist attraction Download PDFInfo
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- CN110324589A CN110324589A CN201910722879.3A CN201910722879A CN110324589A CN 110324589 A CN110324589 A CN 110324589A CN 201910722879 A CN201910722879 A CN 201910722879A CN 110324589 A CN110324589 A CN 110324589A
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
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Abstract
The invention discloses a kind of monitoring systems of tourist attraction, including Cloud Server, LoRa terminal, NB-IoT communication module, multiple cameras and intelligent control device, multiple cameras are connect with LoRa terminal wireless, and LoRa terminal, Cloud Server and the intelligent control device are wirelessly connected with NB-IoT communication module.Personal information of wandering away out can be assisted in identifying from the monitor video at scenic spot using this kind of monitoring system, have the characteristics that wiring cost is low, easy to maintain.The invention also discloses a kind of monitoring method of tourist attraction, this method can quickly search in monitor video and lock immediate personal information, have the characteristics that search efficiency is high.
Description
Technical field
The present invention relates to tourist attraction administrative skills, more specifically more particularly to a kind of monitoring system of tourist attraction；
The invention further relates to a kind of monitoring methods of tourist attraction.
Background technique
Computer vision mainly simulates the visual performance of people with computer, extracts information from the image of objective things,
It is handled and is understood, eventually for actually detected, measurement and control, the feature of computer vision technique maximum is speed
Fastly, contain much information, function it is more.Existing detection of passenger flow system is generally based on the inquiry that face characteristic method realizes personnel, but
Such scheme is higher to photographing request, can be only installed at fixed entrance.For monitoring scenic spot video, due to background, light
With angle all problems, face characteristic can not be obtained, but can manually identify the feature of all larger granularity of clothing of tourist.With
The development of computer vision technique, target detection technique therein have been able to position from complicated scene, separate, are partitioned into
Target, especially human body target, since application is wider, so correlative study is more deep.The depth recognition model increased income at present
The relevant target of the human bodies such as head, jacket, trousers, shoes, handbag can be further separated out from the human body target being partitioned into.
In tourist attraction, since its area is bigger, it will usually many monitoring cameras are configured, and in the monitoring at scenic spot
The heart then records the location information for having each monitoring camera.When generation tourist wanders away event, walked since staff is unfamiliar with
Mistake personnel generally can only slowly search in monitored picture by the personnel oneself that report a case to the security authorities, and lookup effect is bad, and being difficult will be missing
Personnel find.How by computer vision technique assisted lookup, preferably to be identified in the monitoring video in scenic spot
It wanders away out personal information, becomes the improved new direction of monitoring scenic spot management work.
Summary of the invention
The purpose of the present invention is to provide a kind of monitoring systems of tourist attraction, can be from scenic spot using the monitoring system
Assist in identifying personal information of wandering away out in monitor video, has the characteristics that wiring cost is low, easy to maintain.
Another object of the present invention is to provide a kind of monitoring method of tourist attraction, this method can be in monitor video
It quickly searches and locks immediate personal information, have the characteristics that search efficiency is high.
The previous technical solution that the present invention uses is as follows:
A kind of monitoring system of tourist attraction, wherein including Cloud Server, LoRa terminal, NB-IoT communication module, multiple
Camera and intelligent control device, multiple cameras are connect with LoRa terminal wireless, the LoRa terminal, cloud clothes
Business device and intelligent control device are wirelessly connected with NB-IoT communication module.
Further, the intelligent control device is computer or one of mobile phone or tablet computer.
It further, include memory module and deep learning model module, the storage mould in the Cloud Server
Block is connected with deep learning model module, and the deep learning model module is also wirelessly connected with intelligent control device.
Further, be additionally provided with solar recharging module on the camera, the solar recharging module with take the photograph
As head circuit connection.
The latter technique scheme that the present invention uses is as follows:
A kind of monitoring method of tourist attraction is by being partitioned into the relevant people of each tourist from the image information of monitoring
Body target signature finds out immediate personnel after matching with the tourist's human body target feature retrieved is needed.
Further, comprising the following steps:
(1) image information in scenic spot is obtained using camera each in scenic spot, and sends it in Cloud Server and deposits
Storage；
(2) it in Cloud Server, from the image information of camera each tourist obtained of scenic spot inlet, selectes
The image information of tourist to be retrieved obtains the tourist's to extraction and analysis after the Image Information Processing using deep learning model module
Apparel characteristic and textural characteristics；
(3) from the image information that camera each in the scenic spot stored in Cloud Server obtains, one is extracted in order
Frame image information is as movement images information；
(4) each human body target, processing figure are identified and divided in movement images information using deep learning model module
As the apparel characteristic and textural characteristics of each human body target image of information post analysis；
(5) each individual for analyzing the apparel characteristic for the tourist that step (2) analyzes and textural characteristics and step (4)
The apparel characteristic and textural characteristics of body target image are compared respectively, if apparel characteristic and textural characteristics are all the same, conduct
The output of candidate's target, while exporting camera site and the shooting time of candidate's target place image information；If surface is special
Sign or clothing color characteristic be not identical, then is considered as and does not find candidate's target, jumps back to step (3) until having extracted cloud service
The image information that each camera obtains in the scenic spot stored in device.
Further, in the step (2), being to the Image Information Processing using deep learning model module should
Image information removes background, then carries out color histogram equalization processing.
Further, in the step (4), processing image information is the image information to be removed background, then carry out
Color histogram equalization processing.
Further, in the step (5), each camera shooting in the scenic spot stored from extraction in Cloud Server (1)
When the image information that head obtains, it is desirable that its shooting time will be later than the figure of each tourist obtained from the camera of scenic spot inlet
As selecting the shooting time of the image information of tourist to be retrieved in information.
Compared with prior art, the device have the advantages that are as follows:
1. a kind of monitoring system of tourist attraction of the invention, wherein logical including Cloud Server, LoRa terminal, NB-IoT
Believe module, multiple cameras and intelligent control device, multiple cameras are connect with LoRa terminal wireless, described
LoRa terminal, Cloud Server and intelligent control device are wirelessly connected with NB-IoT communication module.Using camera by scenic spot
In each region be monitored, then these monitor videos are sent out by LoRa terminal final by NB-IoT communication module
It is stored in Cloud Server, recycles intelligent control device to issue control command and the monitor video in Cloud Server is transferred
And comparison is searched, to find out the relevant information for needing the tourist retrieved in scenic spot.Using LoRa terminal setting up wireless networks,
Be conducive to connect more dispersed monitoring point, networking cost is lower, and maintenance is also more convenient.
2. a kind of monitoring method of tourist attraction of the invention is by being partitioned into each trip from the image information of monitoring
The relevant human body target feature of visitor finds out immediate personnel after matching with the tourist's human body target feature retrieved is needed.
After to human body target each in each frame monitor video transferred identification, relevant human body target feature is divided into it,
It is matched again with the tourist's human body target feature retrieved is needed, can faster find out immediate personnel, search effect
Rate is higher.
Detailed description of the invention
Fig. 1 is structural schematic diagram of the invention；
Fig. 2 is control method flow chart of the invention.
Specific embodiment
With reference to embodiment, technical solution of the present invention is described in further detail, but do not constituted pair
Any restrictions of the invention.
Shown in referring to Fig.1, the monitoring system of a kind of tourist attraction of the invention, wherein whole including Cloud Server 1, LoRa
End 2, NB-IoT communication module 3, multiple cameras 4 and intelligent control device 5, the multiple cameras 4 and LoRa terminal 2
It is wirelessly connected, the LoRa terminal 2, Cloud Server 1 and intelligent control device 5 wirelessly connect with NB-IoT communication module 3
It connects.Each region in scenic spot is monitored using camera, then by these monitor videos by LoRa terminal send out through
It crosses NB-IoT communication module to be ultimately stored in Cloud Server, intelligent control device is recycled to issue control command to Cloud Server
In monitor video transferred and search comparison, to find out the relevant information for needing the tourist that retrieves in scenic spot.In scape
Camera 4 is arranged in different location in area, then camera 4 is connect with LoRa terminal 2, and being set up using LoRa terminal 2 will camera shooting
First 4 setting up wireless networks are conducive to connect more dispersed monitoring point, a kind of monitoring system of tourist attraction of the invention
System uses the Internet of Things communication technology, and networking cost is lower, and maintenance is also more convenient.
On data communication technology, using LoRa terminal 2, NB-IoT communication module 3 and other wired and wireless technologies
Be combined with each other, for NB-IoT signal coverage areas, can directly be counted with Cloud Server 1 by NB-IoT terminal
According to communication.Uncovering area is other, extends its communication range using LoRa terminal 2, with 2 networking of LoRa terminal, connects close to internet
When access point, the internet that is connected to using dedicated gateway.Since data are needed in different types of equipment (terminal, gateway, service
Device) between transmit, for reduce data conversion, used the most common JSON data format of current network data exchange, it is inexpensive
32 embeded processors can also complete the coding and decoding of data, improve the compatibility of system.Using Cloud Server 1,
Operation and maintenance cost can be reduced, system stability is improved.Meanwhile Cloud Server 1 is using the form of web-page requests service, side
Just administrative staff are checked and are managed by the general browser of computer and mobile phone, can also be special by wechat public platform or mobile phone
It is remotely managed with the mode of APP.
The intelligent control device 5 is computer or one of mobile phone or tablet computer, to facilitate administrator
Member's checking and managing to the storage content in Cloud Server 1.
It include memory module and deep learning model module, the memory module and depth in the Cloud Server 1
The connection of learning model module, the deep learning model module are also wirelessly connected with intelligent control device 5, utilize memory module
Monitor video taken by each camera 4 is stored, it can be in memory module using deep learning model module
The video of storage transfer and matched and searched.
Solar recharging module 6,4 electricity of the solar recharging module 6 and camera are additionally provided on the camera 4
Road connection is that camera 4 provides electric energy using solar recharging module 6.
Referring to shown in Fig. 2, a kind of monitoring method of tourist attraction of the invention is by dividing from the image information of monitoring
It cuts out the relevant human body target feature of each tourist and is found out most after matching with the tourist's human body target feature retrieved is needed
Close personnel.
Wherein, comprising the following steps:
(1) image information in scenic spot is obtained using camera 4 each in scenic spot, and sent it in Cloud Server 1
Storage.
(2) in Cloud Server 1, from the image information of camera each tourist obtained of scenic spot inlet, choosing
The image information of fixed tourist to be retrieved, obtains the tourist to extraction and analysis after the Image Information Processing using deep learning model module
Apparel characteristic and textural characteristics.It wherein, is by the image information to the Image Information Processing using deep learning model module
Background is removed, then carries out color histogram equalization processing, removal background can effectively reduce background and retrieve band to image object
The interference come reduces different location because the factors such as illumination influence the bring of color by histogram equalization.
(3) from the image information that camera each in the scenic spot stored in Cloud Server 1 obtains, one is extracted in order
Frame image information is as movement images information.
(4) each human body target, processing figure are identified and divided in movement images information using deep learning model module
As the apparel characteristic and textural characteristics of each human body target image of information post analysis.Wherein, processing image information is by the image
Information removes background, then carries out color histogram equalization processing, and removal background can effectively reduce background and examine to image object
The interference of rope bring reduces different location because the factors such as illumination influence the bring of color by histogram equalization.
(5) each individual for analyzing the apparel characteristic for the tourist that step (2) analyzes and textural characteristics and step (4)
The apparel characteristic and textural characteristics of body target image are compared respectively, if apparel characteristic and textural characteristics are all the same, conduct
The output of candidate's target, while exporting camera site and the shooting time of candidate's target place image information；If surface is special
Sign or clothing color characteristic be not identical, then is considered as and does not find candidate's target, jumps back to step (3) until having extracted cloud service
The image information that each camera obtains in the scenic spot stored in device 1.
Wherein, from when extracting the image information of each camera acquisition in stored scenic spot in Cloud Server 1, it is desirable that its
Shooting time will be later than from the image information for each tourist that the camera of scenic spot inlet obtains, and select tourist to be retrieved
Image information shooting time, only within the time after the tourist enters scenic spot monitoring captured by camera 4 regard
Frequency can just be possible to find its relevant information.
A kind of monitoring method of tourist attraction of the invention passes through to each human body mesh in each frame monitor video transferred
After identifying not, relevant human body target feature is divided into it, then match with the tourist's human body target feature retrieved is needed,
Immediate personnel can be faster found out, search efficiency is higher.Background is removed using deep learning model, is effectively reduced
Background retrieves the interference come again to image object, and histogram equalization reduces different location because the factors such as illumination bring color
Influence, integration objective textural characteristics and apparel characteristic can effectively improve the accuracy of target retrieval.
The foregoing is merely presently preferred embodiments of the present invention, all made any within the scope of the spirit and principles in the present invention
Modifications, equivalent substitutions and improvements etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of monitoring system of tourist attraction, which is characterized in that logical including Cloud Server (1), LoRa terminal (2), NB-IoT
Believe module (3), multiple cameras (4) and intelligent control device (5), the multiple cameras (4) and LoRa terminal (2) nothing
Line connection, the LoRa terminal (2), Cloud Server (1) and intelligent control device (5) with NB-IoT communication module (3)
It is wirelessly connected.
2. a kind of monitoring system of tourist attraction according to claim 1, which is characterized in that the intelligent control device
It (5) is computer or one of mobile phone or tablet computer.
3. a kind of monitoring system of tourist attraction according to claim 1, which is characterized in that the Cloud Server (1)
In include memory module and deep learning model module, the memory module is connected with deep learning model module, described
Deep learning model module is also wirelessly connected with intelligent control device (5).
4. a kind of monitoring system of tourist attraction according to claim 1, which is characterized in that on the camera (4)
It is additionally provided with solar recharging module (6), the solar recharging module (6) and camera (4) circuit connection.
5. a kind of monitoring method of tourist attraction according to claim 1, which is characterized in that be by the image from monitoring
Be partitioned into information the relevant human body target feature of each tourist with need tourist's human body target feature for retrieving to match after
Find out immediate personnel.
6. the monitoring method of tourist attraction according to claim 5, which comprises the following steps:
(1) image information in scenic spot is obtained using camera (4) each in scenic spot, and sent it in Cloud Server (1)
Storage；
(2) it in Cloud Server (1), from the image information of camera each tourist obtained of scenic spot inlet, selectes
The image information of tourist to be retrieved obtains the tourist's to extraction and analysis after the Image Information Processing using deep learning model module
Apparel characteristic and textural characteristics；
(3) from the image information that camera each in the scenic spot stored in Cloud Server (1) obtains, a frame is extracted in order
Image information is as movement images information；
(4) each human body target, processing image letter are identified and divided in movement images information using deep learning model module
Cease the apparel characteristic and textural characteristics of each human body target image of post analysis；
(5) each human body mesh for analyzing the apparel characteristic for the tourist that step (2) analyzes and textural characteristics and step (4)
The apparel characteristic and textural characteristics of logo image are compared respectively, if apparel characteristic and textural characteristics are all the same, as candidate
The output of people's target, while exporting camera site and the shooting time of candidate's target place image information；If surface characteristics or
Person's clothing color characteristic is not identical, then is considered as and does not find candidate's target, jumps back to step (3) until having extracted Cloud Server
(1) image information that each camera obtains in the scenic spot stored in.
7. the monitoring method of tourist attraction according to claim 6, which is characterized in that in the step (2), utilize
Deep learning model module is the image information to be removed background, then carry out color histogram equalization to the Image Information Processing
Processing.
8. the monitoring method of tourist attraction according to claim 6, which is characterized in that in the step (4), processing
Image information is the image information to be removed background, then carry out color histogram equalization processing.
9. the monitoring method of tourist attraction according to claim 6, which is characterized in that in the step (5), from cloud
When extracting the image information that each camera obtains in stored scenic spot in server (1), it is desirable that its shooting time will be later than
From the image information for each tourist that the camera of scenic spot inlet obtains, the bat of the image information of tourist to be retrieved is selected
Take the photograph the time.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111064929A (en) * | 2019-12-16 | 2020-04-24 | 佛山科学技术学院 | Video data acquisition system based on LoRa wireless transmission |
| CN113329177A (en) * | 2021-05-27 | 2021-08-31 | 北京橘拍科技有限公司 | Sharing method, system, terminal and storage medium of public place camera |
| CN113780173A (en) * | 2021-09-10 | 2021-12-10 | 黄河水利职业技术学院 | Face recognition system and recognition method |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105354548A (en) * | 2015-10-30 | 2016-02-24 | 武汉大学 | Surveillance video pedestrian re-recognition method based on ImageNet retrieval |
| CN106357805A (en) * | 2016-10-31 | 2017-01-25 | 成都加华科技有限责任公司 | Application-place monitoring method, device and system |
| US20170131109A1 (en) * | 2015-11-10 | 2017-05-11 | Chiun Mai Communication Systems, Inc. | Electronic device and method for planning tour route |
| CN106937242A (en) * | 2016-12-27 | 2017-07-07 | 四川雷克斯智慧科技股份有限公司 | A kind of scene of a fire entry control method based on Internet of Things |
| CN107809626A (en) * | 2017-12-13 | 2018-03-16 | 中国地质大学（武汉） | A kind of intelligent monitoring pick-up head |
| CN107979747A (en) * | 2018-01-17 | 2018-05-01 | 迟强 | A kind of early warning cap and its system based on the evidence obtaining of panorama camera simultaneous interpretation video |
| CN108024066A (en) * | 2018-01-03 | 2018-05-11 | 广州爱易学智能信息科技有限公司 | Channel Image acquisition system |
| CN108108698A (en) * | 2017-12-25 | 2018-06-01 | 哈尔滨市舍科技有限公司 | Method for tracking target and system based on recognition of face and panoramic video |
| CN108255143A (en) * | 2018-02-28 | 2018-07-06 | 成都蓉创智谷科技有限公司 | A kind of building monitoring system based on Internet of Things |
| CN207819949U (en) * | 2017-12-21 | 2018-09-04 | 成都微思格科技有限公司 | A kind of gateway device for monitoring day net engineering |
| CN108509963A (en) * | 2017-02-28 | 2018-09-07 | 株式会社日立制作所 | Target otherness detection method based on deep learning and target otherness detection device |
| CN108764065A (en) * | 2018-05-04 | 2018-11-06 | 华中科技大学 | A kind of method of pedestrian's weight identification feature fusion assisted learning |
| CN108898812A (en) * | 2018-06-13 | 2018-11-27 | 深圳市云识科技有限公司 | A kind of image capturing and transmitting system of intelligent camera table |
| CN109934176A (en) * | 2019-03-15 | 2019-06-25 | 艾特城信息科技有限公司 | Pedestrian's identifying system, recognition methods and computer readable storage medium |
| CN109934177A (en) * | 2019-03-15 | 2019-06-25 | 艾特城信息科技有限公司 | Pedestrian recognition methods, system and computer readable storage medium again |
-
2019
- 2019-08-06 CN CN201910722879.3A patent/CN110324589A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105354548A (en) * | 2015-10-30 | 2016-02-24 | 武汉大学 | Surveillance video pedestrian re-recognition method based on ImageNet retrieval |
| US20170131109A1 (en) * | 2015-11-10 | 2017-05-11 | Chiun Mai Communication Systems, Inc. | Electronic device and method for planning tour route |
| CN106357805A (en) * | 2016-10-31 | 2017-01-25 | 成都加华科技有限责任公司 | Application-place monitoring method, device and system |
| CN106937242A (en) * | 2016-12-27 | 2017-07-07 | 四川雷克斯智慧科技股份有限公司 | A kind of scene of a fire entry control method based on Internet of Things |
| CN108509963A (en) * | 2017-02-28 | 2018-09-07 | 株式会社日立制作所 | Target otherness detection method based on deep learning and target otherness detection device |
| CN107809626A (en) * | 2017-12-13 | 2018-03-16 | 中国地质大学（武汉） | A kind of intelligent monitoring pick-up head |
| CN207819949U (en) * | 2017-12-21 | 2018-09-04 | 成都微思格科技有限公司 | A kind of gateway device for monitoring day net engineering |
| CN108108698A (en) * | 2017-12-25 | 2018-06-01 | 哈尔滨市舍科技有限公司 | Method for tracking target and system based on recognition of face and panoramic video |
| CN108024066A (en) * | 2018-01-03 | 2018-05-11 | 广州爱易学智能信息科技有限公司 | Channel Image acquisition system |
| CN107979747A (en) * | 2018-01-17 | 2018-05-01 | 迟强 | A kind of early warning cap and its system based on the evidence obtaining of panorama camera simultaneous interpretation video |
| CN108255143A (en) * | 2018-02-28 | 2018-07-06 | 成都蓉创智谷科技有限公司 | A kind of building monitoring system based on Internet of Things |
| CN108764065A (en) * | 2018-05-04 | 2018-11-06 | 华中科技大学 | A kind of method of pedestrian's weight identification feature fusion assisted learning |
| CN108898812A (en) * | 2018-06-13 | 2018-11-27 | 深圳市云识科技有限公司 | A kind of image capturing and transmitting system of intelligent camera table |
| CN109934176A (en) * | 2019-03-15 | 2019-06-25 | 艾特城信息科技有限公司 | Pedestrian's identifying system, recognition methods and computer readable storage medium |
| CN109934177A (en) * | 2019-03-15 | 2019-06-25 | 艾特城信息科技有限公司 | Pedestrian recognition methods, system and computer readable storage medium again |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111064929A (en) * | 2019-12-16 | 2020-04-24 | 佛山科学技术学院 | Video data acquisition system based on LoRa wireless transmission |
| CN113329177A (en) * | 2021-05-27 | 2021-08-31 | 北京橘拍科技有限公司 | Sharing method, system, terminal and storage medium of public place camera |
| CN113780173A (en) * | 2021-09-10 | 2021-12-10 | 黄河水利职业技术学院 | Face recognition system and recognition method |
| CN113780173B (en) * | 2021-09-10 | 2023-09-22 | 黄河水利职业技术学院 | Face recognition system and recognition method |
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Application publication date: 20191011 |