CN113686447A - Method and device for human body recognition, electronic equipment and readable storage medium - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/12—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using thermoelectric elements, e.g. thermocouples
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/16—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using electromagnetic waves other than radio waves
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F2120/00—Control inputs relating to users or occupants
- F24F2120/10—Occupancy
- F24F2120/14—Activity of occupants
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/12—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using thermoelectric elements, e.g. thermocouples
- G01J2005/123—Thermoelectric array
Abstract
The application relates to the technical field of air conditioners, and discloses a method for human body identification, which comprises the following steps: monitoring a preset area to obtain a multi-frame temperature data matrix; determining alternative human body heat sources in each temperature data matrix; determining the boundary of the alternative human body heat source; and determining whether the boundary changes in the multi-frame temperature data matrix, and identifying the alternative human body heat source as the human body under the condition that the boundary changes. The alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be human bodies according to the boundary changes of the alternative human body heat sources. The application also discloses a device for human body recognition, an electronic device and a readable storage medium.
Description
Technical Field
The present application relates to the field of air conditioning technologies, and for example, to a method and an apparatus for human body recognition, an electronic device, and a readable storage medium.
Background
In the prior art, based on a thermopile sensor human body identification mode, a rotating thermopile sensor is used for collecting a global temperature field, obtained temperature data are used for analyzing and identifying a human body, and the collection and operation mode has a long collection period. The other method is to acquire the temperature in the field angle of vision by using a matrix thermopile to obtain temperature data, adopt an operation method of visual processing, and process the temperature data by carrying out a large amount of precise operations through a singlechip so as to identify the human body. The existing thermopile-based sensor has low efficiency for human body identification.
Disclosure of Invention
The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview nor is intended to identify key/critical elements or to delineate the scope of such embodiments but rather as a prelude to the more detailed description that is presented later.
The embodiment of the disclosure provides a method and a device for human body identification, an electronic device and a readable storage medium, so that the efficiency of human body identification can be improved.
In some embodiments, the method for human body recognition comprises: monitoring a preset area to obtain a multi-frame temperature data matrix; determining alternative human body heat sources in each temperature data matrix; determining the boundary of the alternative human body heat source; and determining whether the boundary changes in the multi-frame temperature data matrix, and identifying the alternative human body heat source as the human body under the condition that the boundary changes.
In some embodiments, the apparatus for human body recognition comprises: the acquisition module is configured to monitor a preset area and acquire a multi-frame temperature data matrix; a first determination module configured to determine alternative human body heat sources in each temperature data matrix; a second determination module configured to determine a boundary of an alternative human heat source; and the identification module is configured to determine whether the boundary changes in the multi-frame temperature data matrix, and in the case of the boundary change, identify the alternative human body heat source as the human body.
In some embodiments, the apparatus for human body recognition comprises: a processor and a memory storing program instructions, the processor being configured, upon execution of the program instructions, to perform the method for human body recognition as described above.
In some embodiments, the electronic device comprises: the device for human body recognition is described above.
In some embodiments, the readable storage medium stores program instructions that, when executed, perform the above-described method for human body recognition.
The method and the device for human body identification, the electronic equipment and the readable storage medium provided by the embodiment of the disclosure can realize the following technical effects: the alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be human bodies according to the boundary changes of the alternative human body heat sources. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary calculation power, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, and the cost for realizing the scheme is reduced.
The foregoing general description and the following description are exemplary and explanatory only and are not restrictive of the application.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the accompanying drawings and not in limitation thereof, in which elements having the same reference numeral designations are shown as like elements and not in limitation thereof, and wherein:
fig. 1 is a schematic diagram of a method for human body recognition provided by an embodiment of the present disclosure;
FIG. 2 is a schematic diagram of an apparatus for human body recognition provided by an embodiment of the present disclosure;
fig. 3 is a schematic diagram of another apparatus for human body recognition provided by the embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an application of an embodiment of the present disclosure.
Detailed Description
So that the manner in which the features and elements of the disclosed embodiments can be understood in detail, a more particular description of the disclosed embodiments, briefly summarized above, may be had by reference to the embodiments, some of which are illustrated in the appended drawings. In the following description of the technology, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of the disclosed embodiments. However, one or more embodiments may be practiced without these details. In other instances, well-known structures and devices may be shown in simplified form in order to simplify the drawing.
The terms "first," "second," and the like in the description and in the claims, and the above-described drawings of embodiments of the present disclosure, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the present disclosure described herein may be made. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions.
The term "plurality" means two or more unless otherwise specified.
In the embodiment of the present disclosure, the character "/" indicates that the preceding and following objects are in an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
In the embodiment of the disclosure, the intelligent household appliance is a household appliance formed by introducing a microprocessor, a sensor technology and a network communication technology into the household appliance, and has the characteristics of intelligent control, intelligent sensing and intelligent application, the operation process of the intelligent household appliance usually depends on the application and processing of modern technologies such as internet of things, internet and an electronic chip, for example, the intelligent household appliance can realize the remote control and management of a user on the intelligent household appliance by connecting the intelligent household appliance with the electronic device.
With reference to fig. 1, an embodiment of the present disclosure provides a method for human body recognition, including:
step S101, monitoring a preset area to obtain a multi-frame temperature data matrix.
And step S102, determining alternative human body heat sources in each temperature data matrix.
And step S103, determining the boundary of the alternative human body heat source.
And step S104, determining whether the boundary changes in the multi-frame temperature data matrix, and identifying the alternative human body heat source as the human body under the condition that the boundary changes.
By adopting the method for identifying the human body provided by the embodiment of the disclosure, the alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be the human body according to the boundary change of the alternative human body heat sources. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary calculation power, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, and the cost for realizing the scheme is reduced.
Optionally, the matrix thermopile sensor is used for monitoring a preset area, in a preset period, the matrix thermopile sensor continuously acquires temperature values corresponding to multiple frames of matrix points, and obtains a continuous multiple frames of temperature data matrix after correcting the temperature of each temperature value, wherein each matrix point of the temperature data matrix corresponds to a temperature value. The number of matrix points per frame collected by the matrix thermopile sensor is between 520 and 12800.
Optionally, each matrix point of the temperature data matrix corresponds to a temperature value, and determining a candidate human body heat source in each temperature data matrix includes: respectively determining the temperature fluctuation value of each matrix point in each temperature data matrix; adding a first mark for the matrix point corresponding to the temperature fluctuation value larger than the threshold value; adding a second mark to matrix points which are provided with the first mark in each temperature data matrix and have temperature values within a preset temperature range; the first mark is used for representing the alternative human body temperature matrix point, and the second mark is used for representing the human body temperature matrix point; the matrix points with the second indicia are determined as the alternative human heat source.
Due to the fact that the human body temperature and the environment temperature have the difference attribute, the temperature fluctuation value of each matrix point in each temperature data matrix is determined, the matrix points representing the alternative human body are screened out, the matrix points representing the environment temperature are eliminated, and the range of determining the alternative human body heat source is preliminarily reduced. And marking matrix points corresponding to the temperature fluctuation values larger than the threshold value and with the temperature values within a preset temperature range, so that the determined alternative human body heat source is more in line with the temperature characteristics of the human body.
Optionally, the preset temperature range of the temperature values is 25 ℃ < temperature value <42 ℃.
Optionally, the determining the temperature fluctuation value of each matrix point in each temperature data matrix separately includes: acquiring the highest temperature value of each matrix point in a multi-frame temperature data matrix; respectively acquiring first difference values of the temperature values of all matrix points in all the temperature data matrixes and the corresponding highest temperature value, and determining the absolute values of the first difference values as the temperature fluctuation values of all the matrix points in all the temperature data matrixes; or, acquiring the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively acquiring second difference values of the temperature values of all matrix points in all the temperature data matrixes and the corresponding lowest temperature values, and determining the absolute values of the second difference values as the temperature fluctuation values of all the matrix points in all the temperature data matrixes; or, acquiring the highest temperature value and the lowest temperature value of each matrix point in a multi-frame temperature data matrix; respectively acquiring a first difference value between the temperature value of each matrix point in each temperature data matrix and the corresponding highest temperature value, and respectively acquiring a second difference value between the temperature value of each matrix point in each temperature data matrix and the corresponding lowest temperature value; and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix. That is, the temperature fluctuation value of each matrix point includes the absolute value of the first difference, and the absolute value of the second difference.
Optionally, determining the boundary of the alternative human body heat source comprises: selecting heat source boundary matrix points from the alternative human body heat sources, wherein matrix points without second marks exist at adjacent positions of the heat source boundary matrix points; and determining the heat source boundary matrix points as the boundary of the alternative human body heat source.
Optionally, determining whether the boundary of the alternative human body heat source changes in the plurality of frames of the temperature data matrix includes: in the multi-frame temperature data matrix, at least one matrix point exists at the adjacent position of the boundary of the alternative human body heat source, and the matrix point is changed from not carrying the second mark to carrying the second mark; and/or determining that the boundary of the alternative human heat source has changed if there is at least one matrix point adjacent to the boundary of the alternative human heat source that changes from bearing a second marker to not bearing a second marker. Because the human body has the attribute of activity, under the condition that the boundary of the alternative human body heat source is changed, the alternative human body heat source is recognized as the human body, and because the alternative human body heat source is not required to be processed through a visual algorithm, a large number of visual operation processes are not required, the operation amount and the operation space requirement are greatly reduced, the algorithm recognition process can be completed by a single chip microcomputer with common calculation force, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, the cost for realizing the scheme is reduced, and meanwhile, the human body can be recognized more accurately.
In some embodiments, due to the fact that the human body temperature and the environment temperature have the different attribute, the temperature fluctuation value of each matrix point in each temperature data matrix is determined, the matrix point representing the alternative human body is screened out, the matrix point representing the environment temperature is eliminated, and the range for determining the alternative human body heat source is preliminarily reduced. Because the human body has the constant-temperature property, the second mark is added to the matrix point with the first mark and the temperature value within the preset temperature range, and the matrix point corresponding to the temperature value which is not within the temperature range of the human body is excluded, so that the alternative human body heat source is determined. Because the human body has the attribute of activity, the boundary of the alternative human body heat source is determined by the existence of the matrix points without the second mark at the adjacent positions of the heat source boundary matrix points, the alternative human body heat source is identified as the human body by the change of the boundary, and other heat sources in the temperature range of the human body are excluded from being mistakenly considered as the matrix points of the human body. The alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be human bodies according to the boundary changes of the alternative human body heat sources. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary computing power, compared with the existing human body identification method, the single chip microcomputer is needed to perform a large number of precise calculations, the algorithm identification period is shortened, the dependence of the algorithm on the space of a single chip microcomputer RAM is reduced, the requirement on the single chip microcomputer is lowered, the scheme is enabled to be realized more easily, and the cost for realizing the scheme is reduced.
As shown in fig. 2, an apparatus for human body recognition according to an embodiment of the present disclosure includes an obtaining module 201, a first determining module 202, a second determining module 203, and a recognizing module 204. The obtaining module 201 is configured to monitor a preset area, and obtain a multi-frame temperature data matrix; the first determination module 202 is configured to determine alternative human body heat sources in each temperature data matrix; the second determination module 203 is configured to determine the boundary of the alternative human heat source; the identification module 204 is configured to determine whether the boundary changes in the multi-frame temperature data matrix, and in the case of the boundary change, identify the alternative human body heat source as a human body.
By adopting the device for human body identification provided by the embodiment of the disclosure, the alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be human bodies according to the boundary changes of the alternative human body heat sources. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary calculation power, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, and the cost for realizing the scheme is reduced.
Optionally, each matrix point of the temperature data matrix corresponds to a temperature value, and the first determining module determines the alternative human body heat source in each temperature data matrix by the following method, including: respectively determining the temperature fluctuation value of each matrix point in each temperature data matrix; adding a first mark for the matrix point corresponding to the temperature fluctuation value larger than the threshold value; adding a second mark to matrix points which are provided with the first mark in each temperature data matrix and have temperature values within a preset temperature range; the first mark is used for representing the alternative human body temperature matrix point, and the second mark is used for representing the human body temperature matrix point; the matrix points with the second indicia are determined as the alternative human heat source. Due to the fact that the human body temperature and the environment temperature have the difference attribute, the temperature fluctuation value of each matrix point in each temperature data matrix is determined, the matrix points representing the alternative human body are screened out, the matrix points representing the environment temperature are eliminated, and the range of determining the alternative human body heat source is preliminarily reduced. And marking matrix points corresponding to the temperature fluctuation values larger than the threshold value and with the temperature values within a preset temperature range, so that the determined alternative human body heat source is more in line with the temperature characteristics of the human body.
Optionally, the first determining module determines the temperature fluctuation value of each matrix point in each temperature data matrix respectively by the following method, including: acquiring the highest temperature value of each matrix point in a multi-frame temperature data matrix; respectively acquiring first difference values of the temperature values of all matrix points in all the temperature data matrixes and the highest temperature value, and determining the absolute values of all the first difference values as the temperature fluctuation values of all the matrix points in all the temperature data matrixes; or, acquiring the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively obtaining a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix; or, acquiring the highest temperature value and the lowest temperature value of each matrix point in a multi-frame temperature data matrix; respectively acquiring a first difference value between the temperature value of each matrix point in each temperature data matrix and the highest temperature value, and respectively acquiring a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value; and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix. That is, the temperature fluctuation value of each matrix point includes the absolute value of the first difference, and the absolute value of the second difference.
Optionally, the second determining module determines the boundary of the alternative human body heat source by: selecting heat source boundary matrix points from the alternative human body heat sources, wherein matrix points without second marks exist at adjacent positions of the heat source boundary matrix points; and determining the heat source boundary matrix points as the boundary of the alternative human body heat source.
As shown in fig. 3, an apparatus for human body recognition according to an embodiment of the present disclosure includes a processor (processor)300 and a memory (memory) 301. Optionally, the apparatus may also include a Communication Interface 302 and a bus 303. The processor 300, the communication interface 302 and the memory 301 may communicate with each other via a bus 303. The communication interface 302 may be used for information transfer. The processor 300 may call logic instructions in the memory 301 to perform the method for human body recognition of the above-described embodiment.
In addition, the logic instructions in the memory 301 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products.
The memory 301 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, such as program instructions/modules corresponding to the methods in the embodiments of the present disclosure. The processor 300 executes functional applications and data processing, i.e., implements the method for human body recognition in the above-described embodiments, by executing program instructions/modules stored in the memory 301.
The memory 301 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal device, and the like. Further, the memory 301 may include a high-speed random access memory, and may also include a nonvolatile memory.
By adopting the device for human body identification provided by the embodiment of the disclosure, the alternative human body heat sources in the temperature data matrixes are determined, the boundaries of the alternative human body heat sources are determined, and then the alternative human body heat sources are identified to be human bodies according to the boundary changes of the alternative human body heat sources. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary calculation power, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, and the cost for realizing the scheme is reduced.
The embodiment of the disclosure provides an electronic device, which comprises the device for human body identification.
The electronic equipment identifies the alternative human body heat source as the human body by determining the alternative human body heat source in each temperature data matrix and determining the boundary of the alternative human body heat source and then identifying the alternative human body heat source as the human body according to the boundary change of the alternative human body heat source, and the human body identification mode does not need to be processed by a visual algorithm and does not rotate a matrix thermopile sensor to acquire the temperature data matrix, so that the human body identification efficiency is high. Meanwhile, the scheme does not need to process through a visual algorithm, a large number of visual operation processes are not needed, the operation amount and the operation space requirement are greatly reduced, the algorithm identification process can be completed by a single chip microcomputer with ordinary calculation power, the requirement on the single chip microcomputer is reduced, the scheme is easier to realize, and the cost for realizing the scheme is reduced.
Optionally, the electronic device is an air conditioner. Optionally, the air conditioner is an on-hook, the air conditioner being provided with a matrix thermopile sensor.
In some embodiments, as shown in fig. 4, an air conditioner 3 is installed on the vertical wall surface 1 near the ceiling 2, and is provided with a matrix thermopile sensor, and the air conditioner monitors a preset area, which is a field angle range of the matrix thermopile sensor, through the matrix thermopile sensor. In fig. 4, the area from the vertical wall surface to the dotted line is the field angle range of the matrix thermopile sensor, and when the matrix thermopile sensor recognizes a human body in the preset area, a human body recognition signal is sent to the air conditioner controller, and the air conditioner controller controls the air conditioner to be started.
The air conditioner is controlled by assisting the human body after being identified through light operation of foreground and background temperature identification, for example, the air conditioner is triggered to be started and enters an energy-saving mode, so that the air conditioner is more intelligent. The foreground temperature is a temperature of the heat generating source, optionally, the heat generating source comprises: human body, pet, heating equipment such as computer, server or heater, etc., and the background temperature is the ambient temperature.
Embodiments of the present disclosure provide a readable storage medium storing computer-executable instructions configured to perform the above-described method for human body recognition.
The disclosed embodiments provide a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the above-described method for controlling an air conditioner.
The computer-readable storage medium described above may be a transitory computer-readable storage medium or a non-transitory computer-readable storage medium.
The technical solution of the embodiments of the present disclosure may be embodied in the form of a software product, where the computer software product is stored in a storage medium and includes one or more instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present disclosure. And the aforementioned storage medium may be a non-transitory storage medium comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes, and may also be a transient storage medium.
The above description and drawings sufficiently illustrate embodiments of the disclosure to enable those skilled in the art to practice them. Other embodiments may incorporate structural, logical, electrical, process, and other changes. The examples merely typify possible variations. Individual components and functions are optional unless explicitly required, and the sequence of operations may vary. Portions and features of some embodiments may be included in or substituted for those of others. Furthermore, the words used in the specification are words of description only and are not intended to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Similarly, the term "and/or" as used in this application is meant to encompass any and all possible combinations of one or more of the associated listed. Furthermore, the terms "comprises" and/or "comprising," when used in this application, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. Without further limitation, an element defined by the phrase "comprising an …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element. In this document, each embodiment may be described with emphasis on differences from other embodiments, and the same and similar parts between the respective embodiments may be referred to each other. For methods, products, etc. of the embodiment disclosures, reference may be made to the description of the method section for relevance if it corresponds to the method section of the embodiment disclosure.
Those of skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software may depend upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments. It can be clearly understood by the skilled person that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments disclosed herein, the disclosed methods, products (including but not limited to devices, apparatuses, etc.) may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units may be merely a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to implement the present embodiment. In addition, functional units in the embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. In the description corresponding to the flowcharts and block diagrams in the figures, operations or steps corresponding to different blocks may also occur in different orders than disclosed in the description, and sometimes there is no specific order between the different operations or steps. For example, two sequential operations or steps may in fact be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. Each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Claims (11)
1. A method for human body recognition, comprising:
monitoring a preset area to obtain a multi-frame temperature data matrix;
determining alternative human body heat sources in each temperature data matrix;
determining the boundary of the alternative human body heat source;
and determining whether the boundary changes in the temperature data matrix of multiple frames, and identifying the alternative human body heat source as a human body under the condition that the boundary changes.
2. The method of claim 1, wherein each matrix point of the temperature data matrix corresponds to a temperature value, and determining the alternative human body heat source in each temperature data matrix comprises:
respectively determining the temperature fluctuation value of each matrix point in each temperature data matrix;
adding a first mark to a matrix point corresponding to the temperature fluctuation value which is greater than a threshold value in each temperature data matrix;
adding a second mark to matrix points which are provided with the first marks in the temperature data matrixes and have temperature values within a preset temperature range; the first mark is used for representing the alternative human body temperature matrix point, and the second mark is used for representing the human body temperature matrix point;
and determining the matrix points with the second marks as the alternative human body heat sources.
3. The method of claim 2, wherein separately determining a temperature fluctuation value for each matrix point in each of the temperature data matrices comprises:
acquiring the highest temperature value of each matrix point in the multi-frame temperature data matrix; respectively obtaining a first difference value between the temperature value of each matrix point in each temperature data matrix and the highest temperature value, and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix; or the like, or, alternatively,
acquiring the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively obtaining a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix; or the like, or, alternatively,
acquiring the highest temperature value and the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively acquiring a first difference value between the temperature value of each matrix point in each temperature data matrix and the highest temperature value, and respectively acquiring a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value; and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix.
4. The method of claim 2, wherein determining the boundary of the alternative human heat source comprises:
selecting heat source boundary matrix points from the alternative human body heat sources, wherein matrix points without the second marks exist at adjacent positions of the heat source boundary matrix points;
and determining the heat source boundary matrix point as the boundary of the alternative human body heat source.
5. An apparatus for human body recognition, comprising:
the acquisition module is configured to monitor a preset area and acquire a multi-frame temperature data matrix;
a first determination module configured to determine alternative human body heat sources in each of the temperature data matrices;
a second determination module configured to determine a boundary of the alternative human heat source;
an identification module configured to determine whether the boundary changes in the plurality of frames of the temperature data matrix, and in case of the boundary change, identify the alternative human body heat source as a human body.
6. The apparatus of claim 5, wherein each matrix point of the temperature data matrix corresponds to a temperature value, and the first determining module determines the alternative human body heat source in each temperature data matrix by:
respectively determining the temperature fluctuation value of each matrix point in each temperature data matrix;
adding a first mark for the matrix point corresponding to the temperature fluctuation value larger than the threshold value;
adding a second mark to matrix points which are provided with the first marks in the temperature data matrixes and have temperature values within a preset temperature range; the first mark is used for representing the alternative human body temperature matrix point, and the second mark is used for representing the human body temperature matrix point;
and determining the matrix points with the second marks as alternative human body heat sources.
7. The apparatus of claim 6, wherein the first determining module determines the temperature fluctuation value of each matrix point in each of the temperature data matrices by:
acquiring the highest temperature value of each matrix point in the multi-frame temperature data matrix; respectively obtaining a first difference value between the temperature value of each matrix point in each temperature data matrix and the highest temperature value, and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix; or the like, or, alternatively,
acquiring the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively obtaining a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix; or the like, or, alternatively,
acquiring the highest temperature value and the lowest temperature value of each matrix point in the multi-frame temperature data matrix; respectively acquiring a first difference value between the temperature value of each matrix point in each temperature data matrix and the highest temperature value, and respectively acquiring a second difference value between the temperature value of each matrix point in each temperature data matrix and the lowest temperature value; and determining the absolute value of each first difference value as the temperature fluctuation value of each matrix point in each temperature data matrix, and determining the absolute value of each second difference value as the temperature fluctuation value of each matrix point in each temperature data matrix.
8. The apparatus of claim 6, wherein the second determination module determines the boundary of the alternative human body heat source by:
selecting heat source boundary matrix points from the alternative human body heat sources, wherein matrix points without the second marks exist at adjacent positions of the heat source boundary matrix points;
and determining the heat source boundary matrix point as the boundary of the alternative human body heat source.
9. An apparatus for human body recognition, comprising a processor and a memory storing program instructions, characterized in that the processor is configured to perform the method for human body recognition according to any one of claims 1 to 4 when executing the program instructions.
10. An electronic device characterized by comprising the apparatus for human body recognition according to claim 9.
11. A readable storage medium storing program instructions which, when executed, perform the method for human body recognition according to any one of claims 1 to 4.
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