CN115512277A - Target building personnel statistical system, method and computer equipment - Google Patents
Target building personnel statistical system, method and computer equipment Download PDFInfo
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- CN115512277A CN115512277A CN202211330320.4A CN202211330320A CN115512277A CN 115512277 A CN115512277 A CN 115512277A CN 202211330320 A CN202211330320 A CN 202211330320A CN 115512277 A CN115512277 A CN 115512277A
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06V20/40—Scenes; Scene-specific elements in video content
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- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
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Abstract
The invention provides a system, a method and computer equipment for counting target building personnel, wherein the system comprises: the device comprises a plurality of monitoring units, an image processing unit and a statistic calculation unit. The monitoring unit is used for acquiring video images of different areas in a target building, the image processing unit and the statistical calculation unit are arranged on the video image acquisition side, personnel information in the video images is identified through a preset detection operator, and personnel statistical information in the target building is determined through the position information of the monitoring unit, so that personnel statistics in the building is completed on the image acquisition side, the pressure of the server side is reduced, the timeliness of the personnel statistics of the target building is guaranteed, and the processing speed of the personnel statistics of the target building is increased.
Description
Technical Field
The invention relates to the field of fire safety, in particular to a system and a method for counting target building personnel and computer equipment.
Background
Personnel statistics are important factors and indexes for fire fighting safety management in buildings. Generally, personnel statistics in a building is mainly used for managing fire safety key parts in the building, and parts where personnel are concentrated, namely the fire safety key parts, are key points of fire prevention patrol, inspection and fire hazard monitoring.
At present, in the related technology, for personnel statistics in a building, a plurality of paths of videos are transmitted back to a cloud computing center or a background server, and the server side analyzes, counts and performs other analysis on the plurality of paths of videos, so that the processing pressure of the server side is increased, and if the number of camera distribution points in the building is large and the personnel flow degree in the building is large, the server side uniformly analyzes, counts and performs other analysis on the plurality of paths of videos, so that the data volume to be processed by the server is increased virtually, the corresponding processing speed is reduced, and the timeliness of the personnel statistics is reduced.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defect of low timeliness of building staff statistics in the prior art, and provide a target building staff statistics system, a target building staff statistics method and computer equipment.
According to a first aspect, an embodiment of the present invention provides a target building personnel statistics system, including: a plurality of monitoring units configured to capture video images of different areas within a target building; the image processing unit is configured to acquire a plurality of video images and identify personnel information contained in each video image based on a preset detection operator; and the statistical calculation unit is configured to acquire the personnel information and obtain the personnel statistical information in the target building through statistics based on the personnel information and the position information of each monitoring unit in the target building.
Optionally, the monitoring unit comprises: a structured light module configured to project light information to a target area within a target building; the camera module is configured to collect a video image containing optical information in the target area and generate a structured light video stream.
Optionally, the image processing unit comprises: the video preprocessing module is configured to analyze a video image into image information, and perform gray level conversion and image filtering on the image information to form preprocessed image information; and the image recognition module is configured to recognize the personnel identity information contained in the preprocessed image information based on a preset detection operator.
Optionally, the image recognition module comprises: the face information determination sub-module is configured to identify face information contained in the preprocessed image information based on a preset detection operator; and the personnel identity information determining submodule is configured to compare the face information with preset face features to determine the personnel identity information.
Optionally, the statistical calculation unit includes: the personnel position information determining module is configured to determine the position of the personnel information in the target building according to the position information of the monitoring unit in the target building, and establish the incidence relation between the personnel information and the position; and the personnel statistical information determining module is used for determining the personnel statistical information of each area in the target building based on the incidence relation.
Optionally, the target building people statistics system further comprises: the image retrieval module is configured to receive fire information of the target building, determine the position of the target building corresponding to the fire information, and feed back the video image of the corresponding position and the personnel statistical information of the corresponding position based on the position and the personnel statistical information in the target building.
According to a second aspect, an embodiment of the present invention provides a target building staff statistical method, including: collecting video images of different areas in a target building; identifying personnel information contained in the video image based on a preset detection operator; and determining personnel statistical information in the target building based on the personnel information and the position information of the video image belonging to the target building.
Optionally, the identifying the person information contained in the video image based on a preset detection operator respectively includes: identifying face information contained in the video image based on a preset detection operator; and comparing the face information with preset face characteristics to determine the identity information of the personnel.
Optionally, the target building staff statistics method further includes: receiving fire information of a target building, and determining the position of the target building corresponding to the fire information; and feeding back the video image of the corresponding position and the personnel statistical information of the corresponding position based on the position and the personnel statistical information in the target building.
According to a third aspect, an embodiment of the present invention provides a computer device, including the target building personnel statistics system described in any one of the first aspect.
The technical scheme of the invention has the following advantages:
the invention provides a system, a method and computer equipment for counting target building personnel, wherein the system comprises the following steps: a plurality of monitoring units configured to capture video images of different areas within a target building; the image processing unit is configured to acquire a plurality of video images and identify personnel information contained in each video image based on a preset detection operator; and the statistical calculation unit is configured to acquire the personnel information and obtain the personnel statistical information in the target building through statistics based on the personnel information and the position information of each monitoring unit in the target building. Through implementing this embodiment, through the monitoring unit, gather the video image of different regions in the target building to set up image processing unit and statistics computational element at the video image collection side, personnel's information in the video image is discerned through predetermined detection operator, and confirm personnel's statistics information in the target building through the positional information that the monitoring unit was located, thereby accomplish personnel's statistics in the building at the image collection side, with reduce server end pressure, guaranteed the ageing of target building personnel's statistics, improved the processing speed that target building personnel counted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a schematic block diagram flow diagram of one particular example of a target building people statistics system provided by an embodiment of the present invention;
FIG. 2 is a diagram illustrating an exemplary structure of a monitoring unit of a target building people statistics system according to an embodiment of the present invention;
FIG. 3 is a flow chart of an embodiment of a target building people statistic in accordance with the present invention;
fig. 4 is a block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The present embodiment provides a target building personnel statistics system, as shown in fig. 1, the system includes: a monitoring unit 11, an image processing unit 12 and a statistic calculation unit 13.
A monitoring unit 11 configured to capture video images of different areas within the target building.
Specifically, the video images of different areas refer to that the monitoring unit 11 is arranged at different positions, so as to capture the video images of different areas in the target building, and the position where the monitoring unit 11 is arranged may be each room in the target building, an entrance of a corridor, one side of a corridor, or other positions, as long as the monitoring unit can be used for capturing each area in the target building, which is not specifically limited by the present invention. In practical applications, the video image captured by the monitoring unit 11 may be a structured light video image.
The image processing unit 12 is configured to acquire a plurality of video images and identify the person information contained in each video image based on a preset detection operator.
Specifically, identifying the person information contained in each video image based on a preset detection operator refers to identifying the person information contained in each video image through a digital image processing technology. In practical application, the process of identifying the personnel information contained in each video image based on a preset detection operator comprises the following steps: identifying face information contained in the image information based on a preset detection operator; and comparing the face information with preset face characteristics to determine the identity information of the personnel.
And the statistical calculation unit 13 is configured to acquire the personnel information and obtain the personnel statistical information in the target building through statistics based on the personnel information and the position information of each monitoring unit in the target building.
Specifically, the step of determining the position of the personnel information in the target building based on the personnel information and the position information of each monitoring unit in the target building refers to determining the position of the personnel information in the target building according to the position information of the monitoring unit 11 in the target building, and establishing an association relationship between the personnel information and the position information.
In practical applications, the location information of the monitoring unit 11 in the target building refers to floor location information, room location information, corridor location information, or other location information related to the target building of the location where the monitoring unit 11 is set.
Through implementing this embodiment, through the monitoring unit, gather the video image of different regions in the target building, and at the video image collection side, set up image processing unit and statistics computational element, personnel's information in the video image is discerned through predetermined detection operator, and confirm personnel's statistical information in the target building through the positional information that the monitoring unit was located, thereby accomplish personnel's statistics in the building at the image collection side, thereby reduce server end pressure, guaranteed the ageing of target building personnel's statistics and improved the processing speed that target building personnel counted.
In an alternative embodiment, as shown in fig. 2, the monitoring unit 11 comprises: the structure light module 111, the camera module 112, the mounting bracket 113 and the network cable interface 114.
The configuration light module 111 is configured to project light information to a target area in a target building.
Specifically, projecting light information to a target area within a target building refers to projecting specific light information to the target area, where the specific light information may be area-array structured light or line-scan structured light.
The camera module 112 is configured to capture a video image containing light information within the target area, generating a structured light video stream.
Specifically, a structured light video stream is generated by using specific light information projected by the structured light module 111, so that geometric information in the target area is assisted to be extracted by using geometric information in the specific light information, thereby reducing the background complexity of the target area, solving the problem of background overlapping of the target area, and providing a data basis for subsequently identifying personnel information contained in each video image.
In practical applications, the mounting bracket 113 is used for fixing the monitoring unit 11, and the network interface 114 is used for uploading the structural optical video images collected by the monitoring unit 11 in the form of video stream. It should be understood that the structural optical module 111 cooperates with the camera module 112 to make the video image collected by the camera module 112 be a structural optical video stream, which belongs to a mature technology and is not described herein again.
Through implementing this embodiment, through the cooperation of structural light module camera module to make the video image that the monitoring unit gathered upload with the form of structural light video stream, thereby for reducing image acquisition side personnel information identification and provide the data basis, improved the processing speed of target building personnel statistics.
In an alternative embodiment, the image processing unit 12 comprises:
(1) And the video preprocessing module is configured to analyze the video image into image information, and perform gray scale conversion and image filtering on the image information to form preprocessed image information.
Specifically, the gray-scale conversion and the image filtering are performed on the image information to extract image features through the image filtering, simplify information of the video image, and eliminate noise mixed in the image digitization through the filtering.
In practical applications, image filtering is performed based on a grayscale image, and therefore, grayscale conversion needs to be performed on image confidence first. The image filtering mode may be mean filtering, gaussian filtering, median filtering or bilateral filtering, and may be selected according to the actual working condition, which is not specifically limited in the present invention. It should be understood that parsing the video image into image information and performing gray-scale conversion on the image information are mature prior art, and are not described in detail herein.
(2) And the image identification module is configured to identify the personnel identity information contained in the preprocessed image information based on a preset detection operator.
Specifically, the person identification information included in the image information subjected to the recognition preprocessing includes face recognition information and person identification information. The preset detection operator may be a Roberts operator, a Canny operator, or a Marr-Hildeth operator.
In practical applications, the person identification information included in the preprocessed image information may be an identification ID corresponding to the person included in the image information, and the form of the identification ID may be one or more of numbers, letters, and chinese characters, as long as the identification ID can be used to distinguish and distinguish the persons, which is not particularly limited by the present invention. It should be understood that the identification of the person identity information contained in the preprocessed image information by the Roberts operator, the Canny operator or the Marr-Hildreth operator is a mature technology, and the present invention is not described in detail herein.
In an alternative embodiment, the image recognition module includes:
(1) And the face information determining sub-module is configured to identify face information contained in the preprocessed image information based on a preset detection operator.
In practical application, identifying the face information included in the preprocessed image information based on the preset detection operator means identifying the face feature information in the preprocessed image through the preset detection operator by using an image processing technology.
(2) And the personnel identity information determining submodule is configured to compare the face information with preset face features to determine the personnel identity information.
In practical application, the preset human face features may be obtained through image acquisition devices arranged at inlets of different areas of the target building, and for each acquired person, an identification ID corresponding to the person is generated during acquisition.
By implementing the embodiment, the video image is converted into the preprocessed image information through the video preprocessing module, the preset detection operator identifies the personnel identity information contained in the image information through the image identification module, so that the personnel identity information contained in the video image acquired by each monitoring unit is determined, a data basis is provided for personnel statistics in a building to be completed at an image acquisition side, and the timeliness of the personnel statistics of a target building is ensured.
In an alternative embodiment, the statistical calculation unit 13 includes:
(1) And the personnel position information determining module is configured to determine the position of the personnel information in the target building according to the position information of the monitoring unit in the target building, and establish the incidence relation between the personnel information and the position.
In practical applications, the association relationship between the personnel information and the position can be dynamically changed, and as the personnel move in the target building, the video images of the same personnel collected by different monitoring units change along with time.
(2) And the personnel statistical information determining module is used for determining the personnel statistical information of each area in the target building based on the incidence relation.
Specifically, the determining of the demographic information of each area in the target building based on the association relationship means determining the distribution of people in the target building by using the association relationship between the demographic information and the location information. In practical applications, the distribution of people in the target building may be counted by floor, by area divided by the target building, or by house attribute in the target building. The statistics is carried out by taking the area divided by the target building as a unit, and the area A, the area B or other areas in the target building can be taken as a statistical unit. The statistics is carried out by taking the house attribute in the target building as a unit, and a dining area, an office area or other areas can be taken as a statistical unit.
Through implementing the embodiment, the association relationship between the personnel information and the position information is established by the personnel position determining module according to the position information of each monitoring unit in the target building, so that the personnel statistics in the target building at the image acquisition side is completed by the personnel information determining module, the pressure of the server side is reduced, the timeliness of the personnel statistics of the target building is ensured, and the processing speed of the personnel statistics of the target building is increased.
In an alternative embodiment, when a targeted rescue is needed in the face of a fire, the target building people counting system of the embodiment further includes:
the image retrieval module is configured to receive fire information of the target building, determine the position of the target building corresponding to the fire information, and feed back the video image of the corresponding position and the personnel statistical information of the corresponding position based on the position and the personnel statistical information in the target building.
Specifically, based on the position and the personnel statistical information in the target building, feeding back the video image and the personnel statistical information of the corresponding position means that the video image and the personnel statistical information corresponding to the position where the fire disaster occurs in the target building are fed back to the fire rescue unit according to the incidence relation between the personnel information and the position where the monitoring unit is located in the target building. In practical applications, the statistics information of people corresponding to the location of the fire in the target building includes the number of people at the location and the preset human face characteristics of each person.
Through implementing the embodiment, the image retrieval module is used for feeding back the personnel statistical information and the video image of the fire occurrence position by utilizing the incidence relation between the personnel information and the position of the monitoring unit in the target building, so that the fire rescue personnel can rapidly master the personnel number, the distribution condition and the personnel identity information of the fire occurrence position, and effective rescue can be pertinently carried out.
The embodiment provides a target building staff statistical method, as shown in fig. 3, the method includes:
s301, video images of different areas in the target building are collected. For a specific process, reference may be made to the description about the monitoring unit 11 in the foregoing embodiment, and details are not repeated herein.
S302, identifying personnel information contained in the video image based on a preset detection operator. For a specific process, reference may be made to the description of the image processing unit 12 in the above embodiment, and details are not repeated here.
And S303, determining personnel statistical information in the target building based on the personnel information and the position information of the video image belonging to the target building. For a specific process, reference may be made to the description of the statistical calculation unit 13 in the above embodiment, and details are not described herein again.
In an alternative embodiment, the step S303 includes:
and identifying face information contained in the video image based on a preset detection operator. For a specific process, reference may be made to the description of the image processing unit 12 in the foregoing embodiment, and details are not repeated herein.
And comparing the face information with preset face characteristics to determine the identity information of the personnel. For a specific process, reference may be made to the description of the image processing unit 12 in the above embodiment, and details are not repeated here.
In an optional embodiment, the target building personnel statistics method further comprises:
and receiving fire information of the target building, and determining the position of the target building corresponding to the fire information. For a specific process, reference may be made to the description of the image retrieving module in the above embodiment, and details are not repeated herein.
And feeding back the video image of the corresponding position and the personnel statistical information of the corresponding position based on the position and the personnel statistical information in the target building. For a specific process, reference may be made to the description of the image retrieving module in the above embodiment, and details are not repeated herein.
By implementing the embodiment, the video images of different areas in the target building are collected, the personnel information in the video images is identified by utilizing the preset detection operator at the video image collecting side, and the personnel statistical information in the target building is determined through the collecting position of the video image information, so that the personnel statistics in the building is completed at the image collecting side, the pressure at the server end is reduced, the timeliness of the personnel statistics of the target building is ensured, and the processing speed of the personnel statistics of the target building is increased.
An embodiment of the present invention further provides a computer device, as shown in fig. 4, fig. 4 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, and the computer device may include at least one processor 41, at least one communication interface 42, at least one communication bus 43, and at least one memory 44, where the communication interface 42 may include a Display (Display) and a Keyboard (Keyboard), and the alternative communication interface 42 may also include a standard wired interface and a wireless interface. The Memory 44 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 44 may alternatively be at least one memory device located remotely from the aforementioned processor 41. Wherein the processor 41 may be combined with the apparatus described in fig. 1, the memory 44 stores an application program, and the processor 41 calls the program code stored in the memory 44 for executing the execution process related to the target building personnel counting system described in any of the above embodiments.
The communication bus 43 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus 43 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The memory 44 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: flash memory), such as a Hard Disk Drive (HDD) or a solid-state drive (SSD); the memory 44 may also comprise a combination of the above-mentioned kinds of memories.
The processor 41 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of CPU and NP.
The processor 41 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), general Array Logic (GAL), or any combination thereof.
Optionally, the memory 44 is also used to store program instructions. Processor 41 may invoke program instructions to implement the processes performed in connection with the target building personnel statistics system of any embodiment of the present invention.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications derived therefrom are intended to be within the scope of the invention.
Claims (10)
1. A target building personnel statistics system, comprising:
a plurality of monitoring units configured to capture video images of different areas within a target building;
the image processing unit is configured to acquire a plurality of video images and identify personnel information contained in each video image based on a preset detection operator;
and the statistical calculation unit is configured to acquire the personnel information and obtain the personnel statistical information in the target building through statistics based on the personnel information and the position information of each monitoring unit in the target building.
2. The target building personnel statistics system of claim 1 wherein the monitoring unit comprises:
a structured light module configured to project light information to a target area within the target building;
a camera module configured to capture a video image containing the light information within the target area, generating a structured light video stream.
3. The target building personnel statistics system of claim 1 wherein the image processing unit comprises:
the video preprocessing module is configured to analyze the video image into image information, and perform gray scale conversion and image filtering on the image information to form preprocessed image information;
and the image identification module is configured to identify the personnel identity information contained in the preprocessed image information based on a preset detection operator.
4. The target building personnel statistics system of claim 3 wherein the image recognition module comprises:
the face information determination sub-module is configured to identify face information contained in the preprocessed image information based on a preset detection operator;
and the personnel identity information determining submodule is configured to determine the personnel identity information according to the comparison between the face information and a preset face characteristic.
5. The target building personnel statistics system of claim 1 wherein the statistics calculation unit comprises:
the personnel position information determining module is configured to determine the position of the personnel information in the target building according to the position information of the monitoring unit in the target building, and establish an incidence relation between the personnel information and the position;
and the personnel statistical information determining module is used for determining the personnel statistical information of each area in the target building based on the incidence relation.
6. The target building personnel statistics system of claim 1 wherein the target building personnel statistics system further comprises:
the image retrieval module is configured to receive fire information of a target building, determine a position of the target building corresponding to the fire information, and feed back a video image of the corresponding position and staff statistical information of the corresponding position based on the position and the staff statistical information in the target building.
7. A statistical method for target building personnel is characterized by comprising the following steps:
collecting video images of different areas in a target building;
identifying personnel information contained in the video image based on a preset detection operator;
and determining personnel statistical information in the target building based on the personnel information and the position information of the video image belonging to the target building.
8. The method according to claim 7, wherein the respectively identifying the person information contained in the video images based on the preset detection operator comprises:
identifying face information contained in the video image based on a preset detection operator;
and comparing the face information with preset face characteristics to determine personnel identity information.
9. The method of claim 7, wherein the target building personnel statistics method further comprises:
receiving fire information of a target building, and determining the position of the target building corresponding to the fire information;
and feeding back the video image of the corresponding position and the personnel statistical information of the corresponding position based on the position and the personnel statistical information in the target building.
10. A computer device, characterized in that it comprises a target building personnel statistics system according to any of claims 1 to 6.
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| CN202211330320.4A CN115512277A (en) | 2022-10-27 | 2022-10-27 | Target building personnel statistical system, method and computer equipment |
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