CN111612821A - Human-shaped track technology based on multi-frame filtering analysis in three-dimensional space - Google Patents
Human-shaped track technology based on multi-frame filtering analysis in three-dimensional space Download PDFInfo
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Abstract
The invention discloses a human-shaped track technology based on multi-frame filtering analysis in a three-dimensional space, which consists of a high-definition camera and a cloud computing platform, wherein the high-definition camera is arranged on an indoor ceiling or a wall body; the high-definition camera collects human-shaped data and uploads the human-shaped data to the cloud computing platform; the cloud computing platform constructs a humanoid trajectory trend of the collected data in real time through a convolution filtering algorithm, performs data analysis on the humanoid trajectory map, and provides intelligent marketing reports for different business application scenes. According to the invention, through an independently developed algorithm and a product solution, the comprehensive advantages of precision, cost and a standardized interface are taken into consideration, so that human-shaped track and behavior data analysis are effectively and accurately constructed, and better personalized service experience, intelligent commercial service and management are provided for a commercial complex and the like.
Description
Technical Field
The invention belongs to the technical field of artificial intelligence visual recognition human shape recognition and positioning, and particularly relates to a human shape track technology based on multi-frame filtering analysis in a three-dimensional space.
Background
The vision-based target detection and tracking is a cross research topic of a plurality of subjects such as image processing, computer vision, mode recognition and the like, and has important theoretical research significance and practical application value in the fields of video monitoring, virtual reality, human-computer interaction, autonomous navigation and the like. For example: alarming when a pedestrian intrudes, alarming when an appointed area is out of bounds, distributing pedestrian thermodynamic diagrams and the like. The method is mainly applied to alarming of intrusion of strangers in non-working time in a warehouse and alarming of boundary crossing in a designated area, can greatly reduce false alarm and false alarm, reduces the overall working pressure of a security system, obviously improves the alarming precision and improves the security. Therefore, the pedestrian identification technology plays a very important role in the technology of the Internet of things, and meanwhile, the alarm system is more intelligent, accurate and safe.
At present, the indoor positioning and humanoid tracking technologies in the market mainly comprise WIFI and UWB. The WIFI positioning precision is meter-level positioning, the precision is not high, and the power consumption is high; the deployment, expansion and transplantation costs are high; the factors of environmental and radio interference are many. UWB is centimeter level location, and the precision is high, but research and development degree of difficulty is big, deployment cost is high, coverage is little, receives two kinds of former factors influence, and market application is narrow. The current indoor positioning and trajectory tracking industry mainly has the following difficulties: firstly, the indoor environment is complex, the number of obstacles is large, and the number of interference sources is large; secondly, the market lacks unified standard specifications; thirdly, the precision and the cost are difficult to be considered. In conclusion, I have designed a human-shaped trajectory technology based on multi-frame filtering analysis in three-dimensional space.
Disclosure of Invention
In order to solve the existing problems, the invention provides a human-shaped track technology based on multi-frame filtering analysis in a three-dimensional space.
The invention is realized by the following technical scheme:
a human-shaped track technology based on multi-frame filtering analysis in a three-dimensional space is composed of a high-definition camera and a cloud computing platform, wherein the high-definition camera is deployed on an indoor ceiling or a wall body; the high-definition camera collects human-shaped data and uploads the human-shaped data to the cloud computing platform; the cloud computing platform constructs a humanoid trajectory trend of the collected data in real time through a convolution filtering algorithm, performs data analysis on the humanoid trajectory map, and provides intelligent marketing reports for different business application scenes.
As a further optimization scheme of the cloud computing platform, the cloud computing platform is composed of a human-shaped data acquisition module and a human-shaped data analysis module.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, through an independently developed algorithm and a product solution, the comprehensive advantages of precision, cost and a standardized interface are taken into consideration, so that human-shaped track and behavior data analysis are effectively and accurately constructed, and better personalized service experience, intelligent commercial service and management are provided for a commercial complex and the like.
Drawings
Fig. 1 is a schematic diagram of the structure of the present invention.
In the figure: 1. and (3) a cloud computing platform.
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
as shown in fig. 1, a human-shaped track technology based on multi-frame filtering analysis in a three-dimensional space is composed of a high-definition camera and a cloud computing platform (1), wherein the high-definition camera is arranged on an indoor ceiling or a wall; the high-definition camera collects human-shaped data and uploads the human-shaped data to the cloud computing platform (1); the cloud computing platform (1) constructs a human-shaped trajectory dynamic line of collected data in real time through a convolution filtering algorithm, performs data analysis on a human-shaped trajectory map, and provides intelligent marketing reports for different business application scenes; the cloud computing platform (1) is composed of a human shape data acquisition module and a human shape data analysis module.
In the embodiment of the device, the invention takes the comprehensive advantages of precision, cost and standardized interface into consideration through an independently developed algorithm and a product solution, thereby effectively and accurately constructing human-shaped track and behavior data analysis, and further providing better personalized service experience, intelligent commercial service and management for a commercial complex and the like.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (2)
1. The utility model provides a humanoid track technique based on multiframe filter analysis in three-dimensional space comprises high definition digtal camera, cloud computing platform, its characterized in that: the high-definition camera is arranged on an indoor ceiling or a wall body; the high-definition camera collects human-shaped data and uploads the human-shaped data to the cloud computing platform; the cloud computing platform constructs a humanoid trajectory trend of the collected data in real time through a convolution filtering algorithm, performs data analysis on the humanoid trajectory map, and provides intelligent marketing reports for different business application scenes.
2. The humanoid locus technique based on multi-frame filter analysis in the three-dimensional space of claim 1, characterized in that: the cloud computing platform is composed of a human-shaped data acquisition module and a human-shaped data analysis module.
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| CN202010427525.9A CN111612821A (en) | 2020-05-20 | 2020-05-20 | Human-shaped track technology based on multi-frame filtering analysis in three-dimensional space |
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Citations (6)
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| CN106600631A (en) * | 2016-11-30 | 2017-04-26 | 郑州金惠计算机***工程有限公司 | Multiple target tracking-based passenger flow statistics method |
| CN108647612A (en) * | 2018-04-28 | 2018-10-12 | 成都睿码科技有限责任公司 | Billboard watches flow of the people analysis system |
| CN109784162A (en) * | 2018-12-12 | 2019-05-21 | 成都数之联科技有限公司 | A kind of identification of pedestrian behavior and trace tracking method |
| CN110572786A (en) * | 2019-09-10 | 2019-12-13 | 中国计量大学 | block indoor positioning system and method based on wifi and face recognition |
| CN110570461A (en) * | 2019-09-10 | 2019-12-13 | 中国计量大学 | method for realizing automatic person-searching tracking by combining community lighting network and cloud platform community population information base |
| CN110674756A (en) * | 2019-09-25 | 2020-01-10 | 普联技术有限公司 | Human body attribute recognition model training method, human body attribute recognition method and device |
-
2020
- 2020-05-20 CN CN202010427525.9A patent/CN111612821A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600631A (en) * | 2016-11-30 | 2017-04-26 | 郑州金惠计算机***工程有限公司 | Multiple target tracking-based passenger flow statistics method |
| CN108647612A (en) * | 2018-04-28 | 2018-10-12 | 成都睿码科技有限责任公司 | Billboard watches flow of the people analysis system |
| CN109784162A (en) * | 2018-12-12 | 2019-05-21 | 成都数之联科技有限公司 | A kind of identification of pedestrian behavior and trace tracking method |
| CN110572786A (en) * | 2019-09-10 | 2019-12-13 | 中国计量大学 | block indoor positioning system and method based on wifi and face recognition |
| CN110570461A (en) * | 2019-09-10 | 2019-12-13 | 中国计量大学 | method for realizing automatic person-searching tracking by combining community lighting network and cloud platform community population information base |
| CN110674756A (en) * | 2019-09-25 | 2020-01-10 | 普联技术有限公司 | Human body attribute recognition model training method, human body attribute recognition method and device |
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