CN113705525A - High-altitude parabolic accurate positioning and tracing method - Google Patents
High-altitude parabolic accurate positioning and tracing method Download PDFInfo
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- CN113705525A CN113705525A CN202111041422.XA CN202111041422A CN113705525A CN 113705525 A CN113705525 A CN 113705525A CN 202111041422 A CN202111041422 A CN 202111041422A CN 113705525 A CN113705525 A CN 113705525A
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Abstract
The invention relates to a high-altitude parabolic accurate positioning and tracing method, which comprises the following steps: when the high-altitude parabolic camera is installed and initialized, the intelligent analysis equipment intelligently identifies a building area and doors and windows and forms the correspondence of the building area, the doors and the windows and pixel coordinates; automatically enabling the floor room number to correspond to the pixel coordinate according to the floor room number range covered by the set camera, and establishing a floor room number mapping table; the intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data and judges whether high-altitude parabolic behavior exists or not; and if the high-altitude parabolic behavior exists, acquiring a pixel coordinate of a high-altitude parabolic starting point, searching a floor room number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and acquiring specific floor room number information of the high-altitude parabolic behavior. Based on the high-altitude parabolic accurate positioning and tracing method provided by the invention, the specific floor number of the parabolic object can be quickly and accurately found when a high-altitude parabolic event occurs, the high-altitude parabolic event can be quickly and accurately traced, and the problem that the owner of the whole building suffers loss because the parabolic object cannot be found is avoided.
Description
Technical Field
The invention relates to the field of machine vision application, in particular to a high-altitude parabolic accurate positioning and tracing method.
Background
The high-altitude parabolic model is a difficult problem in community management, and the intelligent identification of the high-altitude parabolic model by using artificial intelligence is widely applied. How to accurately position the object, specifically which user is doing high-altitude object throwing, is a common problem in the industry. At present, the general method is that when high-altitude parabolic equipment is installed and deployed, calibration is carried out manually, and pixel coordinates of doors and windows in a camera video are associated with specific residents manually. The current method has the problem that installation, deployment and setting are very troublesome under the condition of more floors.
Disclosure of Invention
In view of the defects of the implementation mode of the prior art, the high-altitude parabolic accurate positioning and tracing method provided by the invention can be used for quickly and accurately finding the specific floor number of a parabolic object when a high-altitude parabolic event occurs, so that the high-altitude parabolic event can be quickly and accurately traced, and the problem that the owner of the whole building suffers loss because the parabolic object cannot be found is avoided.
The invention provides a high-altitude parabolic accurate positioning and tracing method, which comprises the following steps:
when the high-altitude parabolic camera is installed and initialized, the intelligent analysis equipment intelligently identifies the building area and doors and windows and forms the correspondence of the building area, the doors and windows and pixel coordinates.
And automatically corresponding the floor room number to the pixel coordinate according to the floor room number range covered by the set camera, and establishing a floor room number mapping table.
The intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data and judges whether high-altitude parabolic behaviors exist or not.
And if the high-altitude parabolic behavior exists, acquiring a pixel coordinate of a high-altitude parabolic starting point, searching a floor room number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and acquiring specific floor room number information of the high-altitude parabolic behavior.
The high-altitude parabolic accurate positioning and tracing method comprises the following steps that when a high-altitude parabolic camera is installed and initialized, intelligent analysis equipment intelligently identifies building regions and doors and windows, and forms the correspondence of the building regions, the doors and the windows and pixel coordinates, and specifically comprises the following steps:
and (5) installing and deploying the high-altitude parabolic camera.
The intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify the building area and outputs the pixel coordinates of the building area.
The intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify the door and window and outputs the pixel coordinates of the door and window area.
Further, the high-altitude parabolic accurate positioning and tracing method includes the following steps that the intelligent analysis device intelligently identifies a building area:
the intelligent analysis equipment performs the following processing on the high-altitude parabolic camera video image data: image filtering, image graying, image binarization, image edge extraction and building area segmentation.
The image filtering is to perform Gaussian filtering on the image to remove noise of photoelectric conversion of the CCD.
The image graying refers to compressing color image information.
The image binarization refers to image self-adaptive binarization and continues to compress image information.
The image edge extraction refers to extracting building outline features.
The building area division means that a building graph is divided from an original image, specifically, the pixel value of a building area is 1, and the pixel values of other areas are 0.
The building area is uniquely identified by a set of consecutive pixel coordinates.
Further, the high-altitude parabolic accurate positioning and tracing method, wherein the intelligent analysis device intelligently identifies the door and window, and specifically comprises:
and the intelligent analysis equipment detects the door and window of the high-altitude parabolic camera video image data by using a deep learning model, and gives position information of the door and window in the video through pixel coordinates.
The high-altitude parabolic accurate positioning and tracing method comprises the following steps of automatically forming a correspondence between a floor room number and a pixel coordinate according to a floor room number range covered by a set camera, and establishing a floor room number mapping table, wherein the method specifically comprises the following steps:
and setting the floor room numbers of the highest floor and the lowest floor covered by the high-altitude parabolic camera, and automatically matching the floor room numbers and the pixel coordinates according to the identified doors and windows to form a floor room number mapping table.
The floor room number mapping table comprises: pixel coordinate information of each layer of door and window, building number, unit number, floor and room number information.
The high-altitude parabolic accurate positioning and tracing method comprises the following steps that intelligent analysis equipment carries out real-time intelligent analysis on high-altitude parabolic camera video data and judges whether high-altitude parabolic behaviors exist, and specifically comprises the following steps:
the intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data, uses movement detection and target tracking, combines the characteristic information of the high-altitude parabolic object of the object, and judges whether high-altitude parabolic behavior exists or not by combining whether the pixel coordinate of the movement starting position of the moving object is in a building area or not.
The high-altitude parabolic accurate positioning and tracing method comprises the following steps of obtaining a pixel coordinate of a high-altitude parabolic starting point if high-altitude parabolic behavior exists, searching a floor number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and obtaining specific floor number information of the high-altitude parabolic, wherein the method specifically comprises the following steps:
and searching a floor room number mapping table according to the pixel coordinate of the parabolic starting position, and finding corresponding floor room number information according to the area range of the pixel coordinate.
The floor room number information includes: building number, unit number, floor and room number information.
Based on the high-altitude parabolic accurate positioning and tracing method provided by the invention, the specific floor number of the parabolic object can be quickly and accurately found when a high-altitude parabolic event occurs, the high-altitude parabolic event can be quickly and accurately traced, and the problem that the owner of the whole building suffers loss because the parabolic object cannot be found is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments are briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of an embodiment of a high altitude parabolic accurate positioning tracing method according to the present invention.
Fig. 2 is a flowchart of a preferred embodiment of building area identification in the high altitude parabolic accurate positioning and tracing method of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a flow chart of an optimal embodiment of a high-altitude parabolic accurate positioning and tracing method, which is shown in figure 1. The method comprises the following specific steps:
step S101: when the high-altitude parabolic camera is installed and initialized, the intelligent analysis equipment intelligently identifies the building area and doors and windows and forms the correspondence of the building area, the doors and windows and pixel coordinates.
The high-altitude parabolic camera installation initialization refers to installation and deployment of the high-altitude parabolic camera.
The intelligent analysis device can be an edge computing device or an algorithm server in practical application.
And the intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify the building area and outputs the pixel coordinates of the building area.
The building area is intelligently identified and the pixel coordinates of the building area are output through the intelligent analysis device, and more specifically, the flow chart part of the best embodiment of building area identification in the high-altitude parabolic accurate positioning and tracing method in fig. 2 is described in detail.
The intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify the door and window and outputs the pixel coordinates of the door and window area.
The intelligent door and window identification through intelligent analysis equipment specifically uses a deep learning model to detect the door and window, and gives position information of the door and window in a video through pixel coordinates.
Step S102: and automatically corresponding the floor room number to the pixel coordinate according to the floor room number range covered by the set camera, and establishing a floor room number mapping table.
And setting the floor room numbers of the highest floor and the lowest floor covered by the high-altitude parabolic camera, and automatically matching the floor room numbers and the pixel coordinates according to the identified doors and windows to form a floor room number mapping table.
The floor room number mapping table comprises: pixel coordinate information of each layer of door and window, building number, unit number, floor and room number information.
More specifically, for example, the coverage area of the high-altitude parabolic camera is 1 building 11A with 2 units 11 to 1 building 15A with 2 units 15 in the cell, the identified doors and windows are sequentially from top to bottom: 1 2-unit 15 building 15A house, 1 2-unit 14 building 14A house, 1 2-unit 13 building 13A house, 1 2-unit 12 building 12A house and 1 2-unit 11 building 11A house.
The doors and windows of each floor are uniquely identified by a plurality of pixels in the video.
Step S103: the intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data.
The intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data, specifically mobile detection and target tracking.
The motion detection means that the difference is found by performing comparative analysis on the previous and next frame pictures, and if the difference exists, the existence of a moving object is indicated.
The target tracking tracks the moving object in the video based on a target tracking algorithm, so that a parabolic track can be drawn on the video conveniently.
The parabolic track refers to a path that a parabola passes through on a video and is connected through a line to form a track.
Step S104: and judging whether high-altitude parabolic behavior exists.
More specifically, there are two conditions for determining the high altitude parabola, one being: whether a moving object in the video accords with a parabolic feature or not is judged, wherein the parabolic feature is that the moving object descends from top to bottom according to the gravity acceleration; and a second condition: and comparing the pixel coordinate of the moving starting point of the moving object with the pixel coordinate of the building area range to judge whether the pixel coordinate is in the building range.
If the above two conditions are satisfied simultaneously, the parabolic behavior is considered.
If either of these conditions is not met, then it is considered not parabolic behavior.
Step S105: and if the high-altitude parabolic behavior exists, acquiring a pixel coordinate of a high-altitude parabolic starting point, searching a floor room number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and acquiring specific floor room number information of the high-altitude parabolic behavior.
And searching a floor room number mapping table according to the pixel coordinate of the parabolic starting position, and finding corresponding floor room number information according to the area range of the pixel coordinate.
The floor room number information includes: building number, unit number, floor and room number information.
Further, the present invention provides a flow chart of an embodiment of building area identification in the high altitude parabolic accurate positioning and tracing method, as shown in fig. 2. The method comprises the following specific steps:
step S201: and decoding and frame-extracting the high-altitude parabolic camera video, and performing image filtering on the frame-extracted picture.
The decoding and frame extraction refers to decoding the real-time video data of the high-altitude parabolic camera to obtain a decoded picture sequence, and the process of obtaining pictures from the picture sequence becomes frame extraction.
The image filtering is performed on the frame-extracted picture, specifically, gaussian filtering is performed on the image to remove noise of photoelectric conversion of the CCD. The gaussian filtering is implemented by using a gaussian filtering technology commonly used in the industry, and the detailed description is omitted here.
Step S202: and carrying out image graying processing on the filtered image.
The image graying refers to compressing color image information.
More specifically, the graying process removes chrominance information from the color image information and retains only luminance information.
Step S203: and carrying out image binarization on the image subjected to the image graying processing.
The image binarization refers to image self-adaptive binarization and continues to compress image information.
More specifically, through image binarization processing, the target contour information in the image can be highlighted.
Step S204: and carrying out image edge extraction on the binarized image.
The image edge extraction refers to extracting building outline features.
The building profile features are identified by consecutive pixel coordinates in the image.
Step S205: and performing building area segmentation on the image subjected to image edge extraction.
The building area division means that a building graph is divided from an original image, specifically, the pixel value of a building area is 1, and the pixel values of other areas are 0. And the parabolic recognition is only carried out in the region with the pixel value of 1, so that the false alarm and the calculation complexity are reduced.
The building area is uniquely identified by a group of continuous pixel point coordinates.
Based on the high-altitude parabolic accurate positioning and tracing method provided by the invention, the specific floor number of the parabolic object can be quickly and accurately found when a high-altitude parabolic event occurs, the high-altitude parabolic event can be quickly and accurately traced, and the problem that the owner of the whole building suffers loss because the parabolic object cannot be found is avoided.
It should be understood that the invention is not limited to the embodiments described above, but that modifications and variations can be made by one skilled in the art in light of the above teachings, and all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.
Claims (7)
1. A high-altitude parabolic accurate positioning and tracing method is characterized by comprising the following steps:
when the high-altitude parabolic camera is installed and initialized, the intelligent analysis equipment intelligently identifies a building area and doors and windows and forms the correspondence of the building area, the doors and the windows and pixel coordinates;
automatically enabling the floor room number to correspond to the pixel coordinate according to the floor room number range covered by the set camera, and establishing a floor room number mapping table;
the intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data and judges whether high-altitude parabolic behavior exists or not;
and if the high-altitude parabolic behavior exists, acquiring a pixel coordinate of a high-altitude parabolic starting point, searching a floor room number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and acquiring specific floor room number information of the high-altitude parabolic behavior.
2. The high-altitude parabolic accurate positioning and tracing method as claimed in claim 1, wherein when the high-altitude parabolic camera is installed and initialized, the intelligent analysis device intelligently identifies building areas, doors and windows and forms the correspondence of the building areas, the doors and the windows and the pixel coordinates, and specifically comprises:
installing and deploying the high-altitude parabolic camera;
the intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify a building area and outputs pixel coordinates of the building area;
the intelligent analysis equipment analyzes the high-altitude parabolic camera video image to intelligently identify the door and window and outputs the pixel coordinates of the door and window area.
3. The high-altitude parabolic accurate positioning and tracing method as claimed in claims 1 and 2, wherein the intelligent analysis device intelligently identifies building regions, specifically comprising:
the intelligent analysis equipment performs the following processing on the high-altitude parabolic camera video image data: image filtering, image graying, image binarization, image edge extraction and building area segmentation;
the image filtering is to perform Gaussian filtering on the image to remove the noise of the photoelectric conversion of the CCD;
the image graying refers to compressing color image information;
the image binarization refers to image self-adaptive binarization, and image information is continuously compressed;
the image edge extraction refers to extracting building outline features;
the building region segmentation means that a building graph is segmented from an original image, specifically, the pixel value of a building region is 1, and the pixel values of other regions are 0;
the building area is uniquely identified by a set of pixel coordinates.
4. The high-altitude parabolic accurate positioning and tracing method according to claims 1 and 2, wherein the intelligent analysis device intelligently identifies a door window, and specifically comprises:
and the intelligent analysis equipment detects the door and window of the high-altitude parabolic camera video image data by using a deep learning model, and gives position information of the door and window in the video through pixel coordinates.
5. The high-altitude parabolic accurate positioning and tracing method according to claims 1, 2 and 4, wherein the building room number and the pixel coordinate are automatically corresponded according to the floor room number range covered by the set camera, and a floor room number mapping table is established, specifically comprising:
setting the floor numbers of the highest floor and the lowest floor covered by the high-altitude parabolic camera, and automatically performing corresponding matching of the floor numbers and pixel coordinates according to the identified doors and windows to form a floor number mapping table;
the floor room number mapping table comprises: pixel coordinate information of each layer of door and window, building number, unit number, floor and room number information.
6. The high-altitude parabolic accurate positioning and tracing method according to claims 1 and 3, characterized in that the intelligent analysis device performs real-time intelligent analysis on the video data of the high-altitude parabolic camera to judge whether high-altitude parabolic behavior exists, and specifically comprises:
the intelligent analysis equipment carries out real-time intelligent analysis on the high-altitude parabolic camera video data, uses movement detection and target tracking, combines the characteristic information of the high-altitude parabolic object of the object, and judges whether high-altitude parabolic behavior exists or not by combining whether the pixel coordinate of the movement starting position of the moving object is in a building area or not.
7. The high-altitude parabolic accurate positioning and tracing method according to claims 1, 5 and 6, wherein if there is a high-altitude parabolic behavior, obtaining a pixel coordinate of a high-altitude parabolic starting point, searching a floor room number mapping table based on the pixel coordinate of the high-altitude parabolic starting point, and obtaining specific floor room number information of the high-altitude parabolic behavior, specifically comprising:
searching a floor room number mapping table according to the pixel coordinate of the parabolic initial position, and finding corresponding floor room number information according to the area range of the pixel coordinate;
the floor room number information includes: building number, unit number, floor and room number information.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114998794A (en) * | 2022-05-31 | 2022-09-02 | 天翼爱音乐文化科技有限公司 | High-altitude parabolic recognition method, system, device and storage medium |
| CN116844115A (en) * | 2023-08-29 | 2023-10-03 | 深圳鲲云信息科技有限公司 | Method for tracing and monitoring high-altitude parabolic objects and computing equipment |
| WO2023231719A1 (en) * | 2022-06-02 | 2023-12-07 | 杭州海康威视系统技术有限公司 | Building household information determining method and apparatus and electronic device |
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2021
- 2021-09-07 CN CN202111041422.XA patent/CN113705525A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114998794A (en) * | 2022-05-31 | 2022-09-02 | 天翼爱音乐文化科技有限公司 | High-altitude parabolic recognition method, system, device and storage medium |
| WO2023231719A1 (en) * | 2022-06-02 | 2023-12-07 | 杭州海康威视系统技术有限公司 | Building household information determining method and apparatus and electronic device |
| CN116844115A (en) * | 2023-08-29 | 2023-10-03 | 深圳鲲云信息科技有限公司 | Method for tracing and monitoring high-altitude parabolic objects and computing equipment |
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