CN112788286A - Intelligent naming method and system for video monitoring point locations - Google Patents
Intelligent naming method and system for video monitoring point locations Download PDFInfo
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- CN112788286A CN112788286A CN202011431593.9A CN202011431593A CN112788286A CN 112788286 A CN112788286 A CN 112788286A CN 202011431593 A CN202011431593 A CN 202011431593A CN 112788286 A CN112788286 A CN 112788286A
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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
- 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 method and a system for intelligently naming video monitoring point locations in the technical field of video monitoring. The video monitoring points are automatically named in a unified format by combining with a GIS (Geographic Information System), so that the standardization of the naming of the video monitoring points is improved, and meanwhile, the utilization rate of the video monitoring point data is improved. The method comprises the following steps: a. acquiring the longitude and latitude of a video monitoring point based on a GIS (Geographic Information System), and acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point; b. acquiring an azimuth angle of a video monitoring point, and acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point; c. and acquiring the name of the video monitoring point by combining the GIS according to the spatial position and the orientation of the video monitoring point.
Description
Technical Field
The invention belongs to the technical field of video monitoring, and particularly relates to a method and a system for intelligently naming video monitoring point locations.
Background
Video monitoring needs to be carried out on monitored files after falling to the ground, the naming mode of the existing video monitoring point location name is manual naming, and the condition of manual naming has the defects that the name standard is not uniform and the name description is not clear; the video monitoring data has the problems of non-uniform specification, non-uniform name, non-uniform format and the like, so that the utilization rate of the video monitoring data is low and the actual value cannot be generated.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention provides the intelligent naming method and the intelligent naming System for the video monitoring points, and the video monitoring points are automatically named in a unified format by combining with a Geographic Information System (GIS), so that the standardization of naming the video monitoring points is improved, and meanwhile, the utilization rate of the video monitoring point data is improved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: a video monitoring point intelligent naming method comprises the following steps: a. acquiring the longitude and latitude of a video monitoring point based on a GIS (Geographic Information System), and acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point; b. acquiring an azimuth angle of a video monitoring point, and acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point; c. and acquiring the name of the video monitoring point by combining the GIS according to the spatial position and the orientation of the video monitoring point.
Further, the step a specifically includes: a1, acquiring the longitude and latitude of the video monitoring point, and calculating the linear distance between the video monitoring point and each information point around according to the longitude and latitude of the video monitoring point; a2, sorting the linear distance between the video monitoring point and each information point around, and determining the space position of the video monitoring point according to the sorting result.
Further, in the step a2, if the information point closest to the video monitoring point is a road, it is determined whether the video monitoring point is located in a buffer area of the road, and if the information point is located in a buffer area of a road, the name of the road is read as the spatial position of the video monitoring point; if the video monitoring points are located in the buffer areas of the two roads at the same time, the names of the two roads are respectively read and spliced to be used as the spatial positions of the video monitoring points; and if the information point closest to the video monitoring point is a certain cell, judging whether the video monitoring point is positioned in the basic plane of the cell, and if the information point is positioned in the basic plane of the cell, reading the name of the cell to be used as the spatial position of the video monitoring point.
Further, in the step b, the orientation of the video monitoring point is judged by reading the data of the direction sensor.
Further, in the step c, the names of the video monitoring points are: spatial position + facing + the viewable area.
A video monitoring point intelligent naming system comprises: the first module is used for acquiring the longitude and latitude of the video monitoring point according to the GIS, acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point and transmitting the spatial position of the video monitoring point to the third module; the second module is used for acquiring the azimuth angle of the video monitoring point, acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point and transmitting the orientation of the video monitoring point to the third module; and the third module is used for acquiring the name of the video monitoring point by combining the GIS according to the spatial position of the video monitoring point acquired by the first module and the orientation of the video monitoring point acquired by the second module.
Further, the second module judges the orientation of the video monitoring point by reading the data of the direction sensor.
Compared with the prior art, the invention has the following beneficial effects: according to the method, the spatial position of the video monitoring point is automatically acquired based on the GIS, the orientation of the video monitoring point is determined through the direction sensor, the standardized naming of the video monitoring point is finally acquired by combining the visual area of the video monitoring point, the naming process is automatically completed, the format is unified, the standardization is strong, and the utilization rate of the video monitoring point data is improved.
Drawings
Fig. 1 is a schematic diagram of obtaining a name of a video monitoring point by using an intelligent naming method for video monitoring point locations according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
a video monitoring point intelligent naming method comprises the following steps: acquiring the longitude and latitude of a video monitoring point based on a GIS (Geographic Information System), and acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point; acquiring an azimuth angle of a video monitoring point, and acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point; and acquiring the name of the video monitoring point by combining the GIS according to the spatial position and the orientation of the video monitoring point.
The spatial position naming of the video monitoring point can be realized by carrying out spatial judgment through the geographic position of the current longitude and latitude, retrieving a referent object, such as a road edge, and automatically acquiring the name of the current road according to the spatial position, wherein the naming specifically comprises the following steps: and establishing buffer surface areas in specified ranges on two sides of the road on the basis of the center line of the road. And judging that the monitoring point position falls in the buffer area of the road. If the current road name falls in the buffer area of one road, the current road name can be acquired.
The method comprises the steps of firstly collecting longitude and latitude of a video monitoring point based on a GIS, and calculating the linear distance between the video monitoring point and each information point around according to the longitude and latitude of the video monitoring point; and sequencing the linear distances between the video monitoring points and all the surrounding information points, and determining the spatial positions of the video monitoring points according to the sequencing result. If the information point closest to the video monitoring point is a road, judging whether the video monitoring point is located in a buffer area of the road, and if the video monitoring point is located in the buffer area of one road, reading the name of the road to be used as the spatial position of the video monitoring point; if the video monitoring points are located in the buffer areas of two roads or the buffer areas of a plurality of roads at the same time, the current video monitoring points are located at the road intersection, because the buffer areas are overlapped only at the road intersection, the names of the two roads closest to each other are respectively read and spliced at the moment to serve as the spatial positions of the video monitoring points; and if the information point closest to the video monitoring point is a certain cell, judging whether the video monitoring point is positioned in the basic plane of the cell, and if the information point is positioned in the basic plane of the cell, reading the name of the cell to be used as the spatial position of the video monitoring point.
And judging the orientation of the video monitoring point by reading the data of the direction sensor. The embodiment provides two methods for judging the orientation of a video monitoring point by reading a direction sensor, one is to arrange the direction sensor in a monitoring camera, the orientation of the monitoring camera can be obtained by reading the data of the direction sensor, and the orientation of the monitoring camera can be obtained in real time when the orientation of the monitoring camera changes; the other method is to butt joint a direction sensor of the mobile terminal to ensure that the mobile phone lies down, the communication direction is consistent with the monitoring direction, the calculation is carried out by acquiring the data of the direction sensor of the mobile phone, and the direction calculation is carried out according to the principle of the proximity of the azimuth angle. The monitoring orientation is automatically derived.
According to the spatial position and orientation of the video monitoring point, the name of the video monitoring point is acquired by combining a GIS, and the name of the video monitoring point is as follows: spatial position + facing + the viewable area. And intelligently analyzing the monitored visual area according to the visual range. According to the current monitored spatial position and the monitored orientation, combining surrounding geographic information points on the electronic map, the method comprises the following steps: cell points, road points, scenic spots, and the like. Assuming that the monitoring effective range is 50 meters, when the direction angle is used for judging that the current direction is towards the range of 50 meters, an intersection exists, and the intersection occupies most of the coverage area of the visual range angle facing 50 meters. As shown in fig. 1, where a is the visual angle, b is the azimuth angle, and R is the visual radius, the video monitoring points are named as: the drumstick road faces east (crossroad).
The embodiment automatically acquires the spatial position of the video monitoring point based on the GIS, determines the orientation of the video monitoring point through the direction sensor, finally acquires the standardized naming of the video monitoring point by combining the visual area of the video monitoring point, automatically finishes the naming process, has uniform format and strong normalization, and improves the utilization rate of the video monitoring point data.
Example two:
based on the first embodiment of the intelligent naming method for video monitoring point locations, this embodiment provides an intelligent naming system for video monitoring point locations, which includes: the first module is used for acquiring the longitude and latitude of the video monitoring point according to the GIS, acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point and transmitting the spatial position of the video monitoring point to the third module; the second module is used for acquiring the azimuth angle of the video monitoring point, acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point and transmitting the orientation of the video monitoring point to the third module; the second module judges the orientation of the video monitoring point by reading the data of the direction sensor; and the third module is used for acquiring the name of the video monitoring point by combining the GIS according to the spatial position of the video monitoring point acquired by the first module and the orientation of the video monitoring point acquired by the second module.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (7)
1. An intelligent naming method for video monitoring point locations is characterized by comprising the following steps:
a. acquiring the longitude and latitude of a video monitoring point based on a GIS (Geographic Information System), and acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point;
b. acquiring an azimuth angle of a video monitoring point, and acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point;
c. and acquiring the name of the video monitoring point by combining the GIS according to the spatial position and the orientation of the video monitoring point.
2. The intelligent naming method for video monitoring points according to claim 1, wherein the step a specifically comprises:
a1, acquiring the longitude and latitude of the video monitoring point, and calculating the linear distance between the video monitoring point and each information point around according to the longitude and latitude of the video monitoring point;
a2, sorting the linear distance between the video monitoring point and each information point around, and determining the space position of the video monitoring point according to the sorting result.
3. The intelligent naming method of video surveillance points as claimed in claim 2, wherein in said step a2, if the information point nearest to the video surveillance point is a road, it is determined whether the video surveillance point is located in the buffer area of the road, and if the information point is located in the buffer area of a road, the name of the road is read as the spatial position of the video surveillance point; if the video monitoring points are located in the buffer areas of the two roads at the same time, the names of the two roads are respectively read and spliced to be used as the spatial positions of the video monitoring points;
and if the information point closest to the video monitoring point is a certain cell, judging whether the video monitoring point is positioned in the basic plane of the cell, and if the information point is positioned in the basic plane of the cell, reading the name of the cell to be used as the spatial position of the video monitoring point.
4. The intelligent naming method for video monitoring points as claimed in claim 1, wherein in said step b, the orientation of the video monitoring points is determined by reading the data of the direction sensor.
5. The intelligent naming method for video monitoring points as claimed in claim 1, wherein in said step c, the names of video monitoring points are: spatial position + facing + the viewable area.
6. The utility model provides a video monitoring point location intelligence naming system which characterized by includes:
the first module is used for acquiring the longitude and latitude of the video monitoring point according to the GIS, acquiring the spatial position of the video monitoring point according to the longitude and latitude of the video monitoring point and transmitting the spatial position of the video monitoring point to the third module;
the second module is used for acquiring the azimuth angle of the video monitoring point, acquiring the orientation of the video monitoring point according to the azimuth angle of the video monitoring point and transmitting the orientation of the video monitoring point to the third module;
and the third module is used for acquiring the name of the video monitoring point by combining the GIS according to the spatial position of the video monitoring point acquired by the first module and the orientation of the video monitoring point acquired by the second module.
7. The intelligent naming system of video surveillance points as claimed in claim 6, wherein said second module determines the orientation of video surveillance points by reading the data from the orientation sensor.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369300A (en) * | 2012-06-21 | 2013-10-23 | 支录奎 | Nationwide video monitoring image unified coding and abnormal information automatic emergency system |
| CN104780345A (en) * | 2014-11-13 | 2015-07-15 | 安徽四创电子股份有限公司 | Method for evaluating layout of monitory points of safe city based on GIS (Geographic Information System) |
| US20170214888A1 (en) * | 2014-10-14 | 2017-07-27 | China Xd Electric Co., Ltd | Internal video monitoring system and method for gis device |
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- 2020-12-09 CN CN202011431593.9A patent/CN112788286A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103369300A (en) * | 2012-06-21 | 2013-10-23 | 支录奎 | Nationwide video monitoring image unified coding and abnormal information automatic emergency system |
| US20170214888A1 (en) * | 2014-10-14 | 2017-07-27 | China Xd Electric Co., Ltd | Internal video monitoring system and method for gis device |
| CN104780345A (en) * | 2014-11-13 | 2015-07-15 | 安徽四创电子股份有限公司 | Method for evaluating layout of monitory points of safe city based on GIS (Geographic Information System) |
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Application publication date: 20210511 |