CN114038009A - Image data acquisition and analysis system based on human skeleton key points - Google Patents
Image data acquisition and analysis system based on human skeleton key points Download PDFInfo
- Publication number
- CN114038009A CN114038009A CN202111245388.8A CN202111245388A CN114038009A CN 114038009 A CN114038009 A CN 114038009A CN 202111245388 A CN202111245388 A CN 202111245388A CN 114038009 A CN114038009 A CN 114038009A
- Authority
- CN
- China
- Prior art keywords
- module
- output
- electrically connected
- skeleton key
- management unit
- 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.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 26
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- 230000005611 electricity Effects 0.000 claims description 24
- 238000012544 monitoring process Methods 0.000 claims description 11
- 230000003068 static effect Effects 0.000 claims description 7
- 210000000988 bone and bone Anatomy 0.000 claims description 5
- 230000002349 favourable effect Effects 0.000 abstract description 2
- 230000008034 disappearance Effects 0.000 description 2
- 241000251539 Vertebrata <Metazoa> Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000003557 bones of lower extremity Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 210000003625 skull Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Landscapes
- Image Analysis (AREA)
Abstract
The invention discloses an image data acquisition and analysis system based on human skeleton key points, which comprises a management unit, the input end of the management unit is electrically connected with the input end of the image recognition module, the output end of the management unit is electrically connected with the input end of the data analysis module, and the image recognition module is arranged, the collected human skeleton key points are classified in detail, which is favorable for combing the collected image data and is convenient for determining the loss of the human skeleton key points in the image, the running state of the image acquisition module can be monitored through the running state analysis module and the feedback module, whether the image acquisition module has a fault or not can be judged, after the acquisition state is interrupted, the alarm information is sent through the display in the output module and the alarm sound is played through the sound player, so that the problem of missing of human body image acquisition information can be prevented, and the management personnel can be facilitated to quickly detect the abnormity of the image acquisition condition.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an image data acquisition and analysis system based on human skeleton key points.
Background
As is well known, a human body is divided into 3 major parts of skull, trunk bone and limb bone, the major parts are mutually connected to form a skeleton of the human body, namely skeleton, skeletonization is the basis of complication of a biological structure, a skeleton system is the limiting factor of evolution of biological morphology, the skeleton is a hard organ forming the skeleton in vertebrates, and has the functions of moving, supporting and protecting the body, human body images are collected by people through equipment, skeleton key points in the human body images are collected and analyzed, and finally the skeleton key points in the human body images are depicted.
At present, the image acquisition of the key points of human skeleton is shot through high definition camera equipment, and is portrayed the key point information map of skeleton through analytic system again, but, current image data acquisition analytic system can not carry out careful classification to the human skeleton key point who gathers, can not discern the disappearance situation of human skeleton key point in the image fast, and the staff is not convenient for to discover fast behind the image acquisition module trouble in addition, has the risk that human image acquisition information appears the disappearance.
Disclosure of Invention
The invention aims to provide an image data acquisition and analysis system based on human skeleton key points, and aims to solve the problems that the prior image data acquisition and analysis system in the background art cannot finely classify the acquired human skeleton key points, cannot quickly identify the missing condition of the human skeleton key points in an image, is inconvenient for workers to quickly detect after an image acquisition module fails, and has the risk of missing human image acquisition information.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an image data acquisition analytic system based on human skeleton key point, includes the administrative unit, its characterized in that: the input of management unit is connected with the input electricity of image recognition module, the output of management unit is connected with the input electricity of data analysis module, the output of management unit is connected with output module's input electricity, the output of image acquisition module is connected with management unit's input electricity, the output of image acquisition module is connected with running state analysis module's input electricity, running state analysis module's output is connected with feedback module's input electricity, the output of image recognition module is connected with the input electricity of human skeleton key point, the output of image recognition module is connected with the input electricity of human frame.
Preferably, the output end of the human body skeleton key point is electrically connected with the input end of the limb skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the back skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the shoulder skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the waist skeleton key point, and the output end of the human body skeleton key point is electrically connected with the input end of the head skeleton key point.
Preferably, the image acquisition module comprises a static image acquisition module, a video image acquisition module and an operation state monitoring module, wherein the output end of the static image acquisition module is electrically connected with the input end of the management unit, the output end of the video image acquisition module is electrically connected with the input end of the management unit, and the output end of the operation state monitoring module is electrically connected with the input end of the management unit.
Preferably, the output end of the operating state monitoring module is electrically connected with the input end of the operating state analyzing module, the output end of the operating state analyzing module is electrically connected with the input end of the feedback module, and the output end of the feedback module is electrically connected with the input end of the management unit.
Preferably, the output device of the output module is provided with a display and a sound player, the output end of the management unit is electrically connected with the input end of the display, and the output end of the management unit is electrically connected with the input end of the sound player.
Compared with the prior art, the invention has the beneficial effects that: through the arranged image identification module, the management unit identifies the key points of the human skeleton in the collected image data through the image identification module, the collected human skeleton key points are classified in detail, which is favorable for combing the collected image data and is convenient for determining the loss of the human skeleton key points in the image, by arranging the running state analysis module and the feedback module, the running state analysis module analyzes according to the normal running data of the equipment and the monitored data which are stored in advance by the management unit, can monitor the running state of the image acquisition module and judge whether the image acquisition module has a fault or not, after the acquisition state is interrupted, the alarm information is sent through the display in the output module and the alarm sound is played through the sound player, so that the problem of missing of human body image acquisition information can be prevented, and the management personnel can be facilitated to quickly detect the abnormity of the image acquisition condition.
Drawings
FIG. 1 is a schematic view of the structure of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: the utility model provides an image data acquisition analytic system based on human skeleton key point, includes the administrative unit, its characterized in that: the input of management unit is connected with the input electricity of image recognition module, the output of management unit is connected with the input electricity of data analysis module, the output of management unit is connected with output module's input electricity, the output of image acquisition module is connected with management unit's input electricity, the output of image acquisition module is connected with running state analysis module's input electricity, running state analysis module's output is connected with feedback module's input electricity, the output of image recognition module is connected with the input electricity of human skeleton key point, the output of image recognition module is connected with the input electricity of human frame.
The output end of the human body skeleton key point is electrically connected with the input end of the limb skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the back skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the shoulder skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the waist skeleton key point, and the output end of the human body skeleton key point is electrically connected with the input end of the head skeleton key point.
The image acquisition module comprises a static image acquisition module, a video image acquisition module and an operation state monitoring module, wherein the output end of the static image acquisition module is electrically connected with the input end of the management unit, the output end of the video image acquisition module is electrically connected with the input end of the management unit, and the output end of the operation state monitoring module is electrically connected with the input end of the management unit.
The output end of the running state monitoring module is electrically connected with the input end of the running state analysis module, the output end of the running state analysis module is electrically connected with the input end of the feedback module, and the output end of the feedback module is electrically connected with the input end of the management unit.
The output device of the output module is provided with a display and a sound player, the output end of the management unit is electrically connected with the input end of the display, and the output end of the management unit is electrically connected with the input end of the sound player.
Before using, the worker sends the normal operation data of the device to the operation state analysis module through the management unit, and the worker stores the alarm related voice information in the voice memory of the management unit in advance, when using, the image acquisition module acquires the static image and the dynamic video image, and sends the acquired human body image data to the management unit, and the operation state monitoring information is sent to the operation state analysis module, the operation state analysis module analyzes according to the device normal operation data and the monitoring data stored in advance by the management unit, can monitor the operation state of the image acquisition module, judges whether the image acquisition module is in failure, and sends alarm information and a sound player to play alarm sound through a display in the output module after the acquisition state is interrupted, the problem of human image acquisition information loss can be prevented, the management personnel can be facilitated to quickly detect the abnormity of the image acquisition condition, the management unit identifies the human skeleton key points in the acquired image data through the image identification module, the acquired human skeleton key points are finely classified, the acquired image data can be combed, and the loss of the human skeleton key points in the image can be conveniently determined.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The utility model provides an image data acquisition analytic system based on human skeleton key point, includes the administrative unit, its characterized in that: the input of management unit is connected with the input electricity of image recognition module, the output of management unit is connected with the input electricity of data analysis module, the output of management unit is connected with output module's input electricity, the output of image acquisition module is connected with management unit's input electricity, the output of image acquisition module is connected with running state analysis module's input electricity, running state analysis module's output is connected with feedback module's input electricity, the output of image recognition module is connected with the input electricity of human skeleton key point, the output of image recognition module is connected with the input electricity of human frame.
2. The system for image data acquisition and analysis based on key points of human bones as claimed in claim 1, wherein: the output end of the human body skeleton key point is electrically connected with the input end of the limb skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the back skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the shoulder skeleton key point, the output end of the human body skeleton key point is electrically connected with the input end of the waist skeleton key point, and the output end of the human body skeleton key point is electrically connected with the input end of the head skeleton key point.
3. The system for image data acquisition and analysis based on key points of human bones as claimed in claim 1, wherein: the image acquisition module comprises a static image acquisition module, a video image acquisition module and an operation state monitoring module, wherein the output end of the static image acquisition module is electrically connected with the input end of the management unit, the output end of the video image acquisition module is electrically connected with the input end of the management unit, and the output end of the operation state monitoring module is electrically connected with the input end of the management unit.
4. The system for image data acquisition and analysis based on key points of human bones as claimed in claim 1, wherein: the output end of the running state monitoring module is electrically connected with the input end of the running state analysis module, the output end of the running state analysis module is electrically connected with the input end of the feedback module, and the output end of the feedback module is electrically connected with the input end of the management unit.
5. The system for image data acquisition and analysis based on key points of human bones as claimed in claim 1, wherein: the output device of the output module is provided with a display and a sound player, the output end of the management unit is electrically connected with the input end of the display, and the output end of the management unit is electrically connected with the input end of the sound player.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111245388.8A CN114038009A (en) | 2021-10-26 | 2021-10-26 | Image data acquisition and analysis system based on human skeleton key points |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111245388.8A CN114038009A (en) | 2021-10-26 | 2021-10-26 | Image data acquisition and analysis system based on human skeleton key points |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114038009A true CN114038009A (en) | 2022-02-11 |
Family
ID=80135370
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111245388.8A Pending CN114038009A (en) | 2021-10-26 | 2021-10-26 | Image data acquisition and analysis system based on human skeleton key points |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114038009A (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108038469A (en) * | 2017-12-27 | 2018-05-15 | 百度在线网络技术（北京）有限公司 | Method and apparatus for detecting human body |
| CN109840940A (en) * | 2019-02-11 | 2019-06-04 | 清华-伯克利深圳学院筹备办公室 | Dynamic three-dimensional reconstruction method, device, equipment, medium and system |
| US20190167222A1 (en) * | 2017-12-06 | 2019-06-06 | Chi Mei Medical Center | System and method for creating a three-dimensional bone image of a bone |
| CN110336984A (en) * | 2019-07-15 | 2019-10-15 | 河南职业技术学院 | A kind of intelligent monitor system of computer control |
| CN110348524A (en) * | 2019-07-15 | 2019-10-18 | 深圳市商汤科技有限公司 | A kind of human body critical point detection method and device, electronic equipment and storage medium |
| WO2020071542A1 (en) * | 2018-10-04 | 2020-04-09 | アトナープ株式会社 | Biological information acquisition system and health management server and system |
| WO2020156143A1 (en) * | 2019-01-31 | 2020-08-06 | 深圳市商汤科技有限公司 | Three-dimensional human pose information detection method and apparatus, electronic device and storage medium |
| CN111680562A (en) * | 2020-05-09 | 2020-09-18 | 北京中广上洋科技股份有限公司 | Human body posture identification method and device based on skeleton key points, storage medium and terminal |
| CN111970484A (en) * | 2020-07-14 | 2020-11-20 | 中通服网盈科技有限公司 | Operation and maintenance system and operation and maintenance method suitable for video monitoring equipment |
| CN111985359A (en) * | 2020-08-04 | 2020-11-24 | 山东金东数字创意股份有限公司 | Recognition control system and method based on human skeleton motion capture |
| CN113058260A (en) * | 2021-04-22 | 2021-07-02 | 杭州当贝网络科技有限公司 | Method, system and storage medium for recognizing motion of body based on player portrait |
| CN113076931A (en) * | 2021-04-27 | 2021-07-06 | 天维尔智联科技(深圳)有限公司 | AI intelligent physical training detection system and detection method |
| US20210312172A1 (en) * | 2020-12-11 | 2021-10-07 | Beijing Baidu Netcom Science and Technology Co., Ltd | Human body identification method, electronic device and storage medium |
| CN113516755A (en) * | 2021-04-21 | 2021-10-19 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and storage medium |
| US20220004744A1 (en) * | 2018-11-27 | 2022-01-06 | Bigo Technology Pte. Ltd. | Human posture detection method and apparatus, device and storage medium |
-
2021
- 2021-10-26 CN CN202111245388.8A patent/CN114038009A/en active Pending
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190167222A1 (en) * | 2017-12-06 | 2019-06-06 | Chi Mei Medical Center | System and method for creating a three-dimensional bone image of a bone |
| CN108038469A (en) * | 2017-12-27 | 2018-05-15 | 百度在线网络技术（北京）有限公司 | Method and apparatus for detecting human body |
| WO2020071542A1 (en) * | 2018-10-04 | 2020-04-09 | アトナープ株式会社 | Biological information acquisition system and health management server and system |
| US20220004744A1 (en) * | 2018-11-27 | 2022-01-06 | Bigo Technology Pte. Ltd. | Human posture detection method and apparatus, device and storage medium |
| WO2020156143A1 (en) * | 2019-01-31 | 2020-08-06 | 深圳市商汤科技有限公司 | Three-dimensional human pose information detection method and apparatus, electronic device and storage medium |
| CN109840940A (en) * | 2019-02-11 | 2019-06-04 | 清华-伯克利深圳学院筹备办公室 | Dynamic three-dimensional reconstruction method, device, equipment, medium and system |
| CN110336984A (en) * | 2019-07-15 | 2019-10-15 | 河南职业技术学院 | A kind of intelligent monitor system of computer control |
| CN110348524A (en) * | 2019-07-15 | 2019-10-18 | 深圳市商汤科技有限公司 | A kind of human body critical point detection method and device, electronic equipment and storage medium |
| CN111680562A (en) * | 2020-05-09 | 2020-09-18 | 北京中广上洋科技股份有限公司 | Human body posture identification method and device based on skeleton key points, storage medium and terminal |
| CN111970484A (en) * | 2020-07-14 | 2020-11-20 | 中通服网盈科技有限公司 | Operation and maintenance system and operation and maintenance method suitable for video monitoring equipment |
| CN111985359A (en) * | 2020-08-04 | 2020-11-24 | 山东金东数字创意股份有限公司 | Recognition control system and method based on human skeleton motion capture |
| US20210312172A1 (en) * | 2020-12-11 | 2021-10-07 | Beijing Baidu Netcom Science and Technology Co., Ltd | Human body identification method, electronic device and storage medium |
| CN113516755A (en) * | 2021-04-21 | 2021-10-19 | Oppo广东移动通信有限公司 | Image processing method, image processing apparatus, electronic device, and storage medium |
| CN113058260A (en) * | 2021-04-22 | 2021-07-02 | 杭州当贝网络科技有限公司 | Method, system and storage medium for recognizing motion of body based on player portrait |
| CN113076931A (en) * | 2021-04-27 | 2021-07-06 | 天维尔智联科技(深圳)有限公司 | AI intelligent physical training detection system and detection method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3279700B1 (en) | Security inspection centralized management system | |
| Yang et al. | IoT structured long-term wearable social sensing for mental wellbeing | |
| CN110705482A (en) | Personnel behavior alarm prompt system based on video AI intelligent analysis | |
| CN108852282A (en) | A kind of monitor system and method for being remotely hospitalized | |
| CN113257440A (en) | ICU intelligent nursing system based on patient video identification | |
| CN109635631A (en) | A kind of fire watch room personnel recognition methods on duty based on artificial intelligence | |
| CN106204393A (en) | A kind of service hall intelligent monitor system | |
| CN209232420U (en) | A kind of intelligence delirium assessment device | |
| CN109770863A (en) | Suitable for personnel's safety supervision bracelet under high temperature and humidity place | |
| CN113450532A (en) | Active potential safety hazard early warning system and identification method thereof | |
| CN109993063A (en) | A kind of method and terminal identified to rescue personnel | |
| CN114677826A (en) | Mental patient violence early warning system based on individual behaviors and physiological characteristics | |
| CN114038009A (en) | Image data acquisition and analysis system based on human skeleton key points | |
| CN114420302A (en) | Intelligent epidemic prevention control system for enterprises and public institutions | |
| US10631727B2 (en) | Method and system for detecting time domain cardiac parameters by using pupillary response | |
| CN106691389A (en) | Medical information monitoring method and system | |
| CN104720267A (en) | Electronic health mirror terminal system | |
| CN109717829A (en) | A kind of self-service health examination system and its examination method based on specification information collection | |
| CN111544720A (en) | Method and system for identifying false positive alarm of breathing machine | |
| CN112270990A (en) | Prison personnel remote roll call system with vital sign recording function and method | |
| CN111508578A (en) | Brain wave checking device and method based on artificial intelligence | |
| CN116884088A (en) | Monitoring scene sleep sentry recognition method | |
| CN110010239A (en) | Medical Devices monitoring method, system and breathing detection module | |
| CN207440844U (en) | A kind of attendance recorder | |
| CN115938552A (en) | Be applied to severe monitoring room's VR remote monitering system |
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 |