CN110675582A - Automatic alarm method and device - Google Patents
Automatic alarm method and device Download PDFInfo
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- CN110675582A CN110675582A CN201810711730.0A CN201810711730A CN110675582A CN 110675582 A CN110675582 A CN 110675582A CN 201810711730 A CN201810711730 A CN 201810711730A CN 110675582 A CN110675582 A CN 110675582A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B13/00—Burglar, theft or intruder alarms
- G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
- G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
- G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
- G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
- G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
- G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
Abstract
The invention discloses an automatic alarm method and device, relates to the technical field of image recognition, and mainly aims to alarm through hidden gesture recognition so as to ensure the personal safety of alarm personnel. The main technical scheme of the invention is as follows: acquiring a real-time monitoring image, wherein the real-time monitoring image is a real-time image acquired by a preset camera; recognizing gesture actions of personnel contained in the real-time monitoring image; judging whether the gesture action is matched with a preset alarm gesture; and if so, sending alarm information corresponding to the preset alarm gesture. The invention is mainly used for automatic alarm by using gestures.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to an automatic alarm method and device.
Background
The anti-theft alarm system is a system which automatically detects invasion in a defense-deploying monitoring area by a physical method or an electronic technology, generates an alarm signal, prompts an operator on duty to alarm the area and displays possible countermeasures. The anti-theft alarm system is an important facility for preventing accidents such as robbery, theft and the like. Once an emergency happens, the accident site can be accurately displayed in the security control center through the sound-light alarm signal, so that emergency measures can be taken quickly. The anti-theft alarm system, the entrance and exit control system, the closed circuit television monitoring system, the visitor intercom system, the electronic patrol system and the like form a safety precaution system.
The burglar alarm system is generally composed of a detector (also called burglar alarm), a transmission channel and an alarm controller. However, for the anti-theft alarm in some public places, such as banks, shopping malls, etc., when an emergency such as robbery occurs, and when a field worker needs to alarm for help, the existing anti-theft alarm system needs to manually trigger the alarm system, such as manually pressing a key to trigger an alarm signal, and this way can cause great harm to the personal safety of the personnel triggering the alarm system in the presence of a criminal. Therefore, for the anti-theft alarm measures under these scenes, the current anti-theft alarm system still has some potential safety hazards.
Disclosure of Invention
In view of the above problems, the present invention provides an automatic alarm method and device, and the main purpose of the invention is to perform alarm through hidden gesture recognition, so as to ensure the personal safety of the alarm personnel.
In order to achieve the purpose, the invention mainly provides the following technical scheme:
in one aspect, the present invention provides an automatic alarm method, specifically including:
acquiring a real-time monitoring image, wherein the real-time monitoring image is a real-time image acquired by a preset camera;
recognizing gesture actions of personnel contained in the real-time monitoring image;
judging whether the gesture action is matched with a preset alarm gesture;
and if so, sending alarm information corresponding to the preset alarm gesture.
Preferably, before recognizing the gesture motion of the person contained in the real-time monitoring image, the method further includes:
identifying whether the real-time monitoring image contains preset personnel or not by using a face identification technology;
and if so, intercepting the hand image of the preset personnel in the real-time monitoring image.
Preferably, the step of judging whether the gesture motion is matched with a preset alarm gesture comprises:
calculating the motion similarity of the gesture motion and a preset alarm gesture;
judging whether the action similarity is greater than a threshold value;
and if the gesture motion is larger than the threshold value, determining that the gesture motion is matched with a preset alarm gesture.
Preferably, the method further comprises:
and when the gesture motion is more than a threshold value in motion similarity with a plurality of preset alarm gestures, determining that the preset alarm gesture with the largest motion similarity is matched with the gesture motion.
Preferably, the sending the alarm information corresponding to the preset alarm gesture includes:
adding the real-time monitoring image to alarm information corresponding to the preset alarm gesture;
and sending alarm information containing the real-time monitoring image.
In another aspect, the present invention provides an automatic alarm device, which specifically includes:
the system comprises an image acquisition unit, a real-time monitoring unit and a control unit, wherein the image acquisition unit is used for acquiring a real-time monitoring image which is acquired by a preset camera;
the gesture recognition unit is used for recognizing gesture actions of people contained in the real-time monitoring image acquired by the image acquisition unit;
the gesture judging unit is used for judging whether the gesture motion identified by the gesture identifying unit is matched with a preset alarm gesture or not;
and the alarm information sending unit is used for sending alarm information corresponding to the preset alarm gesture when the gesture judging unit determines that the gesture action is matched with the preset alarm gesture.
Preferably, the apparatus further comprises:
the human face recognition unit is used for recognizing whether preset personnel are contained in the real-time monitoring image or not by utilizing a human face recognition technology before the gesture recognition unit recognizes the gesture actions of the personnel contained in the real-time monitoring image;
and the image intercepting unit is used for intercepting the hand images of the preset personnel in the real-time monitoring image when the face recognition unit determines that the preset personnel are contained.
Preferably, the gesture determination unit includes:
the similarity calculation module is used for calculating the motion similarity of the gesture motion and a preset alarm gesture;
the judging module is used for judging whether the similarity obtained by the action similarity calculating module is greater than a threshold value;
and the determining module is used for determining that the gesture action is matched with a preset alarm gesture when the judging module determines that the similarity is greater than the threshold value.
Preferably, the determining module is further configured to determine that the preset alarm gesture with the largest motion similarity matches when the motion similarity between the gesture motion and the preset alarm gestures is greater than a threshold.
Preferably, the alarm information sending unit includes:
the adding module is used for adding the real-time monitoring image into alarm information corresponding to the preset alarm gesture;
and the sending module is used for sending the alarm information containing the real-time monitoring image loaded by the adding module.
In another aspect, the present invention provides a storage medium for storing a computer program, wherein the computer program is operable to control an apparatus in which the storage medium is located to perform the above-mentioned automatic alarm method.
In another aspect, the present invention provides a processor for executing a program, wherein the program executes the automatic alarm method.
By means of the technical scheme, the automatic alarm method and the automatic alarm device collect real-time monitoring images for the monitoring area through the preset camera, analyze gesture actions of people in the real-time monitoring images and match the gesture actions with the preset alarm gestures, and accordingly trigger alarm information. The automatic alarm realized by the mode can trigger alarm information through a relatively concealed gesture for alarm personnel, so that criminals are difficult to guard, the alarm personnel cannot be found, the purpose of protecting the personal safety of the alarm personnel is achieved, and meanwhile, the success rate of sending the alarm information is also improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flow chart illustrating an automatic alarm method according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another automatic alarm method proposed by an embodiment of the present invention;
fig. 3 is a block diagram showing the components of an automatic alarm device according to an embodiment of the present invention;
fig. 4 is a block diagram showing another automatic alarm device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
The embodiment of the invention provides an automatic alarm method which is used for identifying and judging whether alarm information is automatically triggered or not by utilizing a real-time monitoring picture in a monitoring system without manual operation. The specific steps of the method are shown in fig. 1, and the method comprises the following steps:
The real-time monitoring image is a real-time image acquired by a preset camera. In practical application, a plurality of cameras for acquiring real-time images are arranged in the monitoring alarm system so as to monitor corresponding areas. In the invention, because the gesture action in the image is to be recognized, a camera capable of shooting a high-definition image is needed to acquire the high-definition image so as to more accurately recognize the gesture action of the person in the image.
And 102, identifying the gesture actions of the personnel contained in the real-time monitoring image.
The step is to identify the gesture actions of the person in the image by an image identification technology, in particular a gesture identification algorithm. Since the existing gesture recognition technology is very common, the specific principle and implementation mode of gesture recognition in the invention are not explained, and the specific mode of gesture recognition is not limited.
And 103, judging whether the gesture motion is matched with a preset alarm gesture or not.
Through the recognition in step 102, there may be many persons in a real-time monitoring image, and there may be many gesture actions that can be obtained relatively. Therefore, in the step of matching, each recognized gesture action is matched with a preset alarm gesture, wherein the preset alarm gesture is an alarm gesture preset according to requirements, and different alarm gestures correspond to different alarm information. If the gesture action is successfully matched with one of the preset alarm gestures, it indicates that a person asks for help through the gesture action in the current monitoring area, and correspondingly executing step 104; and if all the gesture actions do not match all the preset alarm gestures, the current monitoring area is normal.
It should be noted that the preset alarm gesture is generally a gesture motion that can be made by a person relatively covertly and naturally, and thus, is not easy to be detected by a criminal.
And step 104, sending alarm information corresponding to the preset alarm gesture.
When it is determined that a person makes an alarm gesture in the real-time monitoring image, corresponding alarm information is extracted according to the successfully matched preset alarm gesture, and the alarm information is sent to a preset address.
As can be seen from the above example, the automatic alarm method provided in the embodiments of the present invention utilizes the monitoring image in the monitoring system, combines with the image recognition technology to recognize the acquired real-time monitoring image, extracts the gesture actions of the person therein, compares and matches the gesture actions with the preset alarm gestures, and sends out the alarm information corresponding to the preset alarm gestures when the gesture actions successfully matched are found, thereby implementing automatic alarm. In the process, the personnel who actually trigger the alarm only need to make the corresponding alarm gesture, and when the gesture action is more concealed and natural, the gesture action is not easy to be perceived by a criminal on site, so that the personal safety of the alarm personnel is protected.
In order to describe the automatic alarm method proposed by the embodiment shown in fig. 1 in detail, in particular how to implement alarm more accurately and avoid false alarm caused by false recognition, the embodiment shown in fig. 2 is used to describe in detail, and the specific steps are as follows:
The step is the same as step 101, and details are not repeated.
The preset personnel are face identification information of specified personnel which is input in advance. In practical applications, it is generally a worker in the monitored area.
The face recognition technology in the invention is similar to the gesture recognition technology and is the recognition technology obtained based on the image recognition algorithm. The main process is that whether the characteristics of the face image exist in the characteristics of the image is judged by analyzing the real-time monitoring image, so that a possible face image area in the image is extracted, the face characteristics in the face image area are compared with the face characteristics of preset personnel, the characteristic similarity of the face characteristics and the preset personnel is calculated, when the similarity reaches a preset threshold value, the preset personnel exist in the real-time monitoring image is determined, and then step 203 is executed, otherwise, the subsequent processing of the real-time monitoring image is abandoned.
By setting the preset personnel, the range of gesture motion recognition in the real-time monitoring image can be reduced, namely, firstly, the personnel contained in the real-time monitoring image are filtered once, and only the gesture motion made by the preset personnel in the image is recognized and judged.
And step 203, intercepting hand images of preset personnel in the real-time monitoring images.
When the preset personnel exists in the real-time monitoring image, the position of the hand of the preset personnel is determined according to the position of the preset personnel in the image, and accordingly the partial image containing the hand of the preset personnel is intercepted from the real-time monitoring image. The determining of the hand position of the person according to the face position of the preset person may be to intercept the partial image with the face position as a center of a circle and the preset distance as a radius, where the preset distance is generally an empirical value, because the camera position in the general monitoring system is fixed, and the shooting distance and the size of the shot image are relatively fixed, the preset distance may be calculated according to the size of the person in the image.
And step 204, recognizing gesture actions in the hand images.
The specific process of recognizing the gesture actions according to the hand image captured in step 203 is the same as that in step 102 in the embodiment of fig. 1, and details are not repeated.
And step 205, judging whether the gesture motion is matched with a preset alarm gesture.
The specific process of matching the preset alarm gesture according to the recognized gesture motion comprises the following steps:
firstly, the motion similarity of the gesture motion and the preset alarm gesture is calculated, the similarity is calculated through preset gesture features, a specific algorithm is not limited, and common similarity calculation such as cosine similarity, Euclidean distance and the like is carried out.
Secondly, whether the action similarity is larger than a threshold value is judged. The threshold value is an experience value, the size of the threshold value can be set according to the requirements of practical application in a self-defining mode, the larger the threshold value is, the higher the required action similarity is, and the more standard the gesture action required by a person is at the moment.
And finally, when the action similarity is larger than a threshold value, determining that the gesture action is matched with the preset alarm gesture.
Further, when the motion similarity of one gesture motion and a plurality of preset alarm gestures is smaller than the threshold value, the processing is not continued. When a plurality of conditions that the motion similarity of one gesture motion and the preset alarm gesture is greater than the threshold exist, it is determined that the gesture motion is the preset alarm gesture with the largest motion similarity.
And step 206, sending alarm information corresponding to the preset alarm gesture.
Specifically, in order to enable a department receiving alarm information to more intuitively know the actual situation of an alarm site, in the embodiment of the present invention, the acquired real-time monitoring image is added to the alarm information, and then the alarm information containing the real-time monitoring image is sent.
According to the execution steps in the embodiment, the automatic alarm method provided by the embodiment of the invention further limits the identification of the gesture of the person in the real-time monitoring image through the face identification, so that the situation that the non-preset person makes the alarm gesture unconsciously and triggers the alarm information by mistake is ensured, the accuracy of the alarm is improved, meanwhile, the current real-time monitoring image is added into the sent alarm information, so that the part receiving the alarm information can reasonably make an alarm response measure according to the event condition in the image, and the response processing efficiency of the alarm information is improved.
Further, as an implementation of the method shown in fig. 1 and fig. 2, an embodiment of the present invention provides an automatic alarm device, which is mainly used for triggering alarm information by a gesture motion in a monitoring image. For convenience of reading, details in the foregoing method embodiments are not described in detail again in this apparatus embodiment, but it should be clear that the apparatus in this embodiment can correspondingly implement all the contents in the foregoing method embodiments. As shown in fig. 3, the apparatus specifically includes:
an image obtaining unit 31, configured to obtain a real-time monitoring image, where the real-time monitoring image is a real-time image collected by a preset camera;
a gesture recognition unit 32, configured to recognize gesture actions of a person included in the real-time monitoring image acquired by the image acquisition unit 31;
a gesture determination unit 33, configured to determine whether the gesture motion identified by the gesture identification unit 32 matches a preset alarm gesture;
and an alarm information sending unit 34, configured to send alarm information corresponding to a preset alarm gesture when the gesture determination unit 33 determines that the gesture motion matches the preset alarm gesture.
Further, as shown in fig. 4, the apparatus further includes:
a face recognition unit 35, configured to, before the gesture recognition unit 32 recognizes the gesture actions of the people included in the real-time monitoring image, recognize whether the real-time monitoring image includes preset people by using a face recognition technology;
and the image intercepting unit 36 is configured to intercept a hand image of a preset person in the real-time monitoring image when the face recognition unit 35 determines that the preset person is included.
Further, as shown in fig. 4, the gesture determination unit 33 includes:
the similarity calculation module 331 is configured to calculate motion similarity between the gesture motion and a preset alarm gesture;
a judging module 332, configured to judge whether the similarity obtained by the motion similarity calculating module 331 is greater than a threshold;
a determining module 333, configured to determine that the gesture action matches a preset alarm gesture when the determining module 332 determines that the similarity is greater than the threshold.
Further, the determining module 333 is further configured to determine that the preset alarm gesture with the largest motion similarity matches when the motion similarity between the gesture motion and the preset alarm gestures is greater than a threshold value.
Further, as shown in fig. 4, the alarm information sending unit 34 includes:
an adding module 341, configured to add the real-time monitoring image to alarm information corresponding to the preset alarm gesture;
and a sending module 342, configured to send alarm information containing the real-time monitoring image loaded by the adding module 341.
In summary, the automatic alarm method and apparatus adopted in the embodiments of the present invention utilize the monitoring image in the monitoring system, combine with the image recognition technology to recognize the acquired real-time monitoring image, extract the gesture actions of the personnel therein, compare and match the gesture actions with the preset alarm gesture, and when the gesture actions successfully matched are found, send out the alarm information corresponding to the preset alarm gesture, thereby implementing automatic alarm. In the process, the personnel who actually trigger the alarm only need to make the corresponding alarm gesture, and when the gesture action is more concealed and natural, the gesture action is not easy to be perceived by a criminal on site, so that the personal safety of the alarm personnel is protected. In addition, the embodiment of the invention further limits the recognition of the gesture of the person in the real-time monitoring image through the face recognition, thereby ensuring that the non-preset person makes the alarm gesture unconsciously to trigger the alarm information by mistake, thereby improving the accuracy of the alarm.
Further, the embodiment of the present invention further provides a storage medium for storing a computer program, where the computer program controls, when running, a device in which the storage medium is located to execute the above automatic alarm method.
In addition, the embodiment of the invention also provides a processor, wherein the processor is used for running the program, and the automatic alarm method is executed when the program runs.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the method and apparatus described above are referred to one another. In addition, "first", "second", and the like in the above embodiments are for distinguishing the embodiments, and do not represent merits of the embodiments.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose devices may be used with the teachings herein. The required structure for constructing such a device will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In addition, the memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, apparatus or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. An automatic alarm method, characterized in that the method comprises:
acquiring a real-time monitoring image, wherein the real-time monitoring image is a real-time image acquired by a preset camera;
recognizing gesture actions of personnel contained in the real-time monitoring image;
judging whether the gesture action is matched with a preset alarm gesture;
and if so, sending alarm information corresponding to the preset alarm gesture.
2. The method of claim 1, wherein prior to identifying the gesture actions of the person contained in the real-time monitored image, the method further comprises:
identifying whether the real-time monitoring image contains preset personnel or not by using a face identification technology;
and if so, intercepting the hand image of the preset personnel in the real-time monitoring image.
3. The method of claim 1 or 2, wherein determining whether the gesture action matches a preset alert gesture comprises:
calculating the motion similarity of the gesture motion and a preset alarm gesture;
judging whether the action similarity is greater than a threshold value;
and if the gesture motion is larger than the threshold value, determining that the gesture motion is matched with a preset alarm gesture.
4. The method of claim 3, further comprising:
and when the gesture motion is more than a threshold value in motion similarity with a plurality of preset alarm gestures, determining that the preset alarm gesture with the largest motion similarity is matched with the gesture motion.
5. The method of claim 1, wherein sending alert information corresponding to the preset alert gesture comprises:
adding the real-time monitoring image to alarm information corresponding to the preset alarm gesture;
and sending alarm information containing the real-time monitoring image.
6. An automatic alarm device, characterized in that it comprises:
the system comprises an image acquisition unit, a real-time monitoring unit and a control unit, wherein the image acquisition unit is used for acquiring a real-time monitoring image which is acquired by a preset camera;
the gesture recognition unit is used for recognizing gesture actions of people contained in the real-time monitoring image acquired by the image acquisition unit;
the gesture judging unit is used for judging whether the gesture motion identified by the gesture identifying unit is matched with a preset alarm gesture or not;
and the alarm information sending unit is used for sending alarm information corresponding to the preset alarm gesture when the gesture judging unit determines that the gesture action is matched with the preset alarm gesture.
7. The apparatus of claim 6, further comprising:
the human face recognition unit is used for recognizing whether preset personnel are contained in the real-time monitoring image or not by utilizing a human face recognition technology before the gesture recognition unit recognizes the gesture actions of the personnel contained in the real-time monitoring image;
and the image intercepting unit is used for intercepting the hand images of the preset personnel in the real-time monitoring image when the face recognition unit determines that the preset personnel are contained.
8. The apparatus according to claim 6, wherein the gesture determination unit comprises:
the similarity calculation module is used for calculating the motion similarity of the gesture motion and a preset alarm gesture;
the judging module is used for judging whether the similarity obtained by the action similarity calculating module is greater than a threshold value;
and the determining module is used for determining that the gesture action is matched with a preset alarm gesture when the judging module determines that the similarity is greater than the threshold value.
9. A storage medium for storing a computer program, wherein the computer program is operable to control an apparatus in which the storage medium is located to perform the automatic alarm method according to any one of claims 1 to 5.
10. A processor, characterized in that the processor is configured to run a computer program, wherein the computer program is configured to perform the autoalarm method of any one of claims 1-5 when running.
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| CN111768584A (en) * | 2020-06-29 | 2020-10-13 | 侯易超 | Intelligent safety system capable of automatically alarming in real time when people enter home |
| CN112200033A (en) * | 2020-09-28 | 2021-01-08 | 上海嘉筠通信技术有限公司 | Alarm false alarm removing system based on TOF gesture recognition |
| CN112299172A (en) * | 2020-10-31 | 2021-02-02 | 成都新潮传媒集团有限公司 | Gesture help-seeking recognition method and device and storage medium |
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