CN111770310A - Lost child identification and positioning method and device - Google Patents
Lost child identification and positioning method and device Download PDFInfo
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- CN111770310A CN111770310A CN202010628064.1A CN202010628064A CN111770310A CN 111770310 A CN111770310 A CN 111770310A CN 202010628064 A CN202010628064 A CN 202010628064A CN 111770310 A CN111770310 A CN 111770310A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/53—Recognition of crowd images, e.g. recognition of crowd congestion
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The embodiment of the application discloses a method and a device for identifying and positioning lost children. According to the technical scheme provided by the embodiment of the application, the image information monitored by all monitoring equipment in the selected area is obtained, and the identification and comparison are carried out according to the characteristic information of the lost child provided by a user and the image information detected by the monitoring equipment, so that the action path of the lost child is identified and determined; therefore, parents, police officers, community committee personnel, security personnel and other people with requirements can quickly position the current position of the lost child through the action path, and then the child can be quickly found.
Description
Technical Field
The embodiment of the application relates to the technical field of monitoring, in particular to a method and a device for identifying and positioning lost children.
Background
At present, in places with higher crowd density, when guardians are not paying much attention, the condition that children are lost easily occurs; if the child is equipped with an electronic device, such as a smart watch or a cell phone, it may be convenient to contact the guardian to inform him of his direction. However, if the corresponding child does not have the electronic device or the child is already turned and the criminal unloads the electronic device, the criminal cannot effectively contact the child, so that the child cannot track the child, and search and rescue are difficult. Therefore, designing a method capable of tracking a path of a child is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the application provides a method and a device for identifying and positioning a lost child, which can timely position the action path of the lost child and position the current position corresponding to the child, so that parents can conveniently search for the lost child.
In a first aspect, an embodiment of the present application provides a method for identifying and locating a lost child, including:
acquiring image information monitored by all monitoring equipment in a preset area within preset time and time information corresponding to the image information;
acquiring characteristic information of lost children transmitted by a user;
identifying and comparing the image information to judge whether the image information has the characteristic information, if so, acquiring time information corresponding to the image information with the characteristic information;
and generating a child action path according to the time information and the position information of the monitoring equipment.
Further, after the generating of the lost child action path according to the time information and the corresponding monitoring device position, the method further includes:
generating a predicted action path according to the child action path, and acquiring monitoring image information of all monitoring equipment on the predicted action path;
and sending the child action path and the predicted action path to a police service system to alarm.
Further, after the generating of the lost child action path according to the time information and the corresponding monitoring device position, the method further includes:
and generating a predicted action path according to the child action path, and acquiring monitoring image information of all monitoring equipment on the predicted action path.
Further, the feature information comprises face feature information and clothing feature information;
the identifying the image information to judge whether the feature information exists in the image information, and if so, acquiring time information corresponding to the image information with the feature information, including:
comparing the face feature information with the image information to judge whether the face feature information exists in the image information, and if so, executing the next step;
comparing the clothing feature information with the image information to judge whether the clothing feature information exists in the image information, and if so, executing the next step;
acquiring time information corresponding to the image information with the characteristic information;
correspondingly, after the image information shot at present is acquired through the camera, the method further comprises the following steps:
and triggering an alarm mechanism to carry out alarm operation.
Further, after the acquiring time information corresponding to the image information in which the feature information exists, the method further includes:
identifying whether the corresponding child in the image information with the characteristic information has a preset action, if so, triggering an alarm mechanism to alarm; the preset action comprises a pulled action or a beating action;
after the generating of the child action path according to the time information and the position information of the monitoring device, the method further includes:
the method comprises the steps of obtaining a target child image shot by a current first camera, and transmitting a corresponding control signal to a second camera for image tracking when the target child reaches the boundary of the first camera image.
Further, before the triggering the alarm mechanism to alarm, the method further includes:
and identifying adult image information of a specific action appearing in the image information, and storing the adult image information.
Further, the method further comprises:
when the fact that the lost child enters the car or sits on the car in the image information is recognized, license plate number information of the car where the child takes is obtained, the corresponding car is subjected to path tracking according to the license plate number information, and alarm information is sent to a public security system.
In a second aspect, the present application provides a device for identifying and locating a lost child, including:
a first obtaining module: the monitoring device is used for acquiring image information monitored by all monitoring devices in a preset area within preset time and time information corresponding to the image information;
a second obtaining module: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring characteristic information of lost children transmitted by a user;
an identification module: the time information acquisition module is used for identifying and comparing the image information to judge whether the characteristic information exists in the image information, and if so, acquiring time information corresponding to the image information with the characteristic information;
a path generation module: and generating a child action path according to the time information and the position information of the monitoring equipment.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of lost child identification positioning as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the method of lost child identification localization as described in the first aspect when executed by a computer processor.
According to the embodiment of the application, the image information monitored by all monitoring equipment in the selected area is obtained, and the identification and comparison are carried out according to the characteristic information of the lost child provided by the user and the image information detected by the monitoring equipment, so that the action path of the lost child is identified and determined; therefore, parents, police officers, community committee personnel, security personnel and other people with requirements can quickly position the current position of the lost child through the action path, and then the child can be quickly found.
Drawings
Fig. 1 is a flowchart of a method for identifying and locating a lost child according to an embodiment of the present application;
FIG. 2 is a schematic flow chart illustrating feature recognition according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart for performing adult identification tracking according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a device for identifying and locating a lost child according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
In places with higher crowd density, when guardians are not paying much attention, the condition that children are lost easily occurs; if the child is equipped with an electronic device, such as a smart watch or a cell phone, it may be convenient to contact the guardian to inform him of his direction. However, if the corresponding child does not have the electronic device or the child is already turned and the criminal unloads the electronic device, the criminal cannot effectively contact the child, so that the child cannot track the child, and search and rescue are difficult. Based on the above, the application provides a method for identifying and positioning the lost child, which comprises the steps of obtaining image information monitored by all monitoring equipment in a selected area, and identifying and comparing the image information detected by the monitoring equipment with characteristic information of the lost child provided by a user, so as to identify and determine a motion path of the lost child; therefore, parents, police officers, community committee personnel, security personnel and other people with requirements can quickly position the current position of the lost child through the action path, and then the child can quickly find the lost child.
Fig. 1 is a flowchart of a method for identifying and positioning a lost child according to an embodiment of the present disclosure, where the method for identifying and positioning a lost child provided in this embodiment may be performed by a lost child identification and positioning device, and the lost child identification and positioning device may be implemented by software and/or hardware, and the lost child identification and positioning device may be formed by two or more physical entities or may be formed by one physical entity. Generally, the device for identifying and locating the lost child may be a computer, a mobile phone, a tablet or a background server, etc.
The following description will be given taking a background server as an example of an apparatus for performing the method of identifying and locating a lost child. Referring to fig. 1, the method for identifying and positioning a lost child specifically includes:
s101: the method comprises the steps of obtaining image information monitored by all monitoring equipment in a preset area within preset time and time information corresponding to the image information.
The method mainly comprises the steps that basic data of image comparison are obtained, when a household finds that a child is lost, the child is generally searched independently, and then corresponding service personnel are searched for broadcasting or monitoring is called for searching. When a service person is found to call monitoring and searching, for example, a public security person calls monitoring equipment in a corresponding area, the area needs to be selected first, and if the monitoring equipment in the whole city is used for calling, the called equipment is too large, so that the calculation amount is too large, and the searching speed is reduced. Therefore, it is necessary to set an appropriate area for positioning the person. For example, since the time from the child loss is 20 minutes, it can be determined that the child does not move too far, so that all monitoring devices within a radius of 2km with the lost point as the center are limited, and data comparison is performed by acquiring video image information monitored by the monitoring devices. Since the specific action path of the child is acquired, the path identification acquisition cannot be performed only by acquiring the image information, and since it can only be determined whether the corresponding lost child exists in the image through the image information, and the time sequence of the lost child reaching the area cannot be determined, there is no way to determine the specific action path of the lost child. Therefore, the corresponding time information is acquired to determine the sequence.
S102: and acquiring characteristic information of the lost children transmitted by the user.
In specific implementation, the sequence of step S101 and step S102 may be interchanged, because there is no actual logical correlation between the two, and the final determination result is not affected whether step S101 is before or step S102 is before. Therefore, in the implementation, the positions of step S101 and step S102 can be interchanged.
Specifically, in step S102, feature information of a lost child transmitted by the user needs to be acquired, the specific feature information may be picture information, the picture information may be image information of the child, or image information of a garment worn by the child, and subsequent image comparison is determined according to the information. The characteristic information can also be text information input by a user, such as blue cotta, wearing black hat, wearing sports shoes and the like. The comparison of the subsequent characteristics can be realized through the information.
S103: and identifying and comparing the image information to judge whether the characteristic information exists in the image information, and if so, acquiring time information corresponding to the image information with the characteristic information.
The step is mainly to compare the information acquired from the step S101 and the step S102, compare the feature information transmitted by the user with the image information, and when the image information has corresponding feature information, determine that the lost child is present at the corresponding monitoring position. Since images within a period of time are acquired, the time for the corresponding feature information to appear is also acquired, and the action route of the lost child can be clearly determined by the time.
More preferably, the feature information includes face feature information and clothing feature information;
fig. 2 is a schematic flow chart of performing feature identification according to an embodiment of the present application, and as shown in fig. 2, the identifying the image information to determine whether the image information has the feature information, and if so, acquiring time information corresponding to the image information having the feature information includes:
s103 a: comparing the face feature information with the image information to judge whether the face feature information exists in the image information, and if so, executing the next step;
s103 b: comparing the clothing feature information with the image information to judge whether the clothing feature information exists in the image information, and if so, executing the next step;
s103 c: and acquiring time information corresponding to the image information with the characteristic information.
The specific clothing feature model construction mode is as follows: comparing the clothing feature information with the image information substantially comprises the following steps: sequentially inputting each clothes sub-picture into a preset clothes category identification model, and respectively calculating each clothes sub-picture by the clothes category identification model to obtain the category of clothes in each clothes sub-picture, wherein the categories of clothes comprise children clothes and adult clothes; and the color of the corresponding garment.
The preset clothing category identification model is constructed based on a deep learning algorithm and is obtained by training a large number of marked clothing pictures, wherein the marked clothing pictures refer to pictures of clothing categories in the marked clothing pictures. In order to improve the recognition accuracy of the model, different types of clothes pictures can be collected, for example, clothes pictures worn by people of different ages, clothes pictures containing clothes of different styles, clothes pictures under different light rays and the like can be collected. When a new clothes picture, namely the clothes sub-picture, is input into the clothes category identification model, the clothes category identification model outputs whether the category of clothes in the clothes sub-picture is adult clothes or children clothes after operation. And inputs a specific corresponding color, whether a hat is worn, a specific style of shoes, and the like. When the characteristic information of clothes, hats, shoes and the like is matched, the probability that the corresponding lost child is judged is greatly improved.
Specifically, the specific characteristic comparison process includes that each frame of original picture is sequentially input into a preset cutout model, the cutout model is operated according to each frame of original picture to obtain a clothes character picture of each portrait and clothes area contained in each frame of original picture, and each clothes sub-picture includes a clothes area of a portrait.
The cutout model is constructed based on a deep learning algorithm and obtained by utilizing a large number of labeled portrait pictures to pre-train, the labeled portrait pictures refer to pictures of portrait clothes regions in the labeled pictures, so that the cutout model learns, memorizes and identifies the operation process of the portrait clothes regions in the pictures, and the effect of identifying the portrait clothes regions in various pictures is achieved. When a picture is sent into the trained matting model, the matting model automatically detects a portrait clothing region in the picture, and outputs the detected portrait clothing region to obtain a clothing sub-picture comprising the portrait clothing region.
Similarly, in a face recognition mode, according to a face image provided by a user, inputting the image provided by the user into a preset face recognition model for training; then, the trained model is compared with the image information acquired in step S101 to determine whether the lost child appears in the corresponding image.
Through the scheme, the identification speed and accuracy can be further improved. Because the face feature information is more accurate feature information, if the face feature information is directly adopted to compare, firstly, omission can be easily generated, and the face feature information can not be shot by a camera. Secondly, because the face feature information is richer and more detailed, the corresponding time consumption is more. Therefore, the mode of combining and recognizing through clothing characteristics and human face characteristics in the embodiment promotes recognition speed and can quickly position people on the premise of ensuring recognition accuracy.
During specific implementation, if the situation that the clothing feature information is matched but the face feature information is not matched is identified; the data are not processed, the condition that the clothing features are matched with the face features is processed preferentially, when the two feature information are matched, path planning can be carried out firstly to obtain a first path, then time points corresponding to images matched with the clothing information and unmatched with the face feature information are obtained, the time points and the position information are mapped into the first path to judge the degree of engagement, if the degree of engagement is high, the points are used as actual reference points to carry out path fusion, and if the degree of engagement is low and belongs to obvious deviation data, the corresponding image information can be deleted. The above is a way of performing path generation and identification by combining clothing information and face feature information.
More preferably, fig. 3 is a schematic flowchart of a process for performing adult identification and tracking according to an embodiment of the present application, and as shown in fig. 3, after acquiring time information corresponding to image information in which the feature information exists, the process further includes:
s1031: identifying whether the corresponding child in the image information with the characteristic information has a preset action, if so, triggering an alarm mechanism to alarm; the preset action comprises a pulled action or a beating action.
When the child is lost, the child is easy to be lured by adults and even taken away by adopting a mandatory means. Generally, if a happy person sees a child lost, the happy person can talk with the child and actively take the child to find parents, but if the happy person meets a pedestrain, actions of pulling, holding or even beating can be directly adopted; therefore, after identifying the child, further action is required on the person in the image related to the child. If the condition of pulling and beating occurs, the alarm is given in time so as to call surrounding police to carry out search and rescue work.
More preferably, before the triggering the alarm mechanism to alarm, the method further includes:
s1032: and identifying adult image information of a specific action appearing in the image information, and storing the adult image information.
If the situation in step S1031 occurs, it is determined that the adult corresponding to the approximate percentage is a person vendor, and in this case, before an alarm is given, information entry needs to be performed, that is, image information of the person vendor corresponding to the person vendor needs to be stored. The information can be directly sent to the public security system for inquiry, the information can be recorded, if the information is finally determined to be a person dealer, the information can be input and tracked, and the tracking capability of the person dealer can be greatly improved by adopting the mode. In the specific implementation, not only the information tracking of the children is performed, but also the image information corresponding to the person vendor is tracked. The tracking ability is improved through dual tracking, and the search and rescue effect is improved.
Besides the above method, the emotional state of the lost child can be identified, and if the corresponding emotional state of the child is crying or anxious, the nearby corresponding adult can also be identified; because if the person dealer takes the compulsory holding, the child cannot resist the force of the adult, but the child expresses the emotion of the child, such as crying, the expressive information of the child can be collected to carry out further verification and identification.
Specifically, the acquired child face image information is input into a preset emotion recognition model, and an emotion state corresponding to each child face is obtained. The preset emotion recognition model is constructed based on a deep learning algorithm and is obtained by training a large number of labeled human face picture sequence frames, wherein the labeled human face picture sequence frames refer to continuous multi-frame pictures of an emotion state corresponding to a labeled human face. In order to improve the recognition accuracy of the model, the face picture sequence frames in different emotional states can be collected, for example, the face picture sequence frame of a child whose emotional state is anxious, the face picture sequence frame of a child whose emotional state is crying, and the like are collected. When a new face picture sequence frame is input into the emotion recognition model, the emotion recognition model outputs the emotion state corresponding to the face in the face picture sequence frame after operation. The expression detection of the children is realized through the expressions, and further, the related face information corresponding to adults is positioned.
S104: and generating a child action path according to the time information and the position information of the monitoring equipment.
In step S103, after the time corresponding to the lost child is obtained, the position of the corresponding monitoring device also needs to be obtained, for example, 7 points of lost child are found in the monitoring device a, 7 points of lost child are found in the monitoring device B, 7 points of lost child are found in the monitoring device C, and 7 points of lost child are found in the monitoring device D, 15 points of lost child are found in the monitoring device D; therefore, the paths taken by the children are A-B-C-D through the time sequence series connection, the specific positions of the monitoring devices are mapped to a map, and the action paths of the children can be generated. Then, parents can know the specific action route of the children and provide the parents with reference by providing the specific action route; since some parents can know where a child is ready to go directly by the route of action.
S105: and generating a predicted action path according to the child action path, and acquiring monitoring image information of all monitoring equipment on the predicted action path.
In the above specific manner of acquiring the child action path, when the child action path is detected, the action path of the subsequent child may be predicted, for example, the action path of the child is known as a fixed route, and then it may reach point E or point F according to the sequence, and after the child action path is predicted, the monitoring devices at points E and F may be called in advance, and then the corresponding monitoring devices may be used for monitoring.
Further, after generating the predicted action path according to the action path of the child, the method further includes:
and controlling all monitoring equipment on the predicted action path to acquire 8k images.
The conventional video image is adopted to acquire clear enough images which can not be acquired, so that the image acquisition can be carried out in an 8k mode of starting all monitoring equipment on a prediction path; the information can be further confirmed through the 8k image, and a face accurate identification mode is achieved.
More preferably, in this embodiment, the method further includes a mode of performing image monitoring on the child:
the method comprises the steps of obtaining a target child image shot by a current first camera, and transmitting a corresponding control signal to a second camera for image tracking when the target child reaches the boundary of the first camera image. In this embodiment, a camera linkage detection mode is adopted, and since each camera has its own image acquisition range, when the range exceeds the corresponding range, the target image cannot be captured. However, there is an overlapping area between the cameras, for example, when a corresponding target child is shot in the first camera and the target child walks to the image boundary of the first camera, the second camera may also acquire the corresponding target child, so that the corresponding control signal is transmitted to the second camera for continuous monitoring, and when the target child walks to the boundary of the second camera, the corresponding control signal may also be transmitted to the third camera for continuous monitoring. The mode through linkage detection makes target children can show constantly in the video constantly and appear, and the people that conveniently have the demand continuously pay close attention to children to move to.
More preferably in this embodiment, the method further includes:
when the fact that the lost child enters the car or sits on the car in the image information is recognized, license plate number information of the car where the child takes is obtained, the corresponding car is subjected to path tracking according to the license plate number information, and alarm information is sent to a public security system.
In the whole process, if a person dealer adopts a vehicle to perform kidnapping, the subsequent tracking process cannot track the person but should track the corresponding vehicle; when the child is carried to the corresponding vehicle, the child can be judged to be hijacked. Therefore, it is necessary to acquire information of a corresponding vehicle, that is, license plate information, in time, track the vehicle, and then perform a pursuit work. If the electric vehicle or the motorcycle is adopted, the corresponding electric vehicle or motorcycle can be tracked. By means of the mode, tracking modes are further enriched, and identification and positioning accuracy of lost children can be further improved.
In the embodiment, the information of the anti-lost platform for the Chinese children is automatically compared by using an AI (artificial intelligence) face recognition technology; the face information screenshot is accurately identified by the 8K technology and sent to the public security platform when the suspected lost child is found; tracking the movement route of the suspected lost child through joint control of a plurality of monitoring devices; by identifying the actions of persons around the suspected lost child throughout the process, for example: dragging, beating, restricting actions, etc., and corresponding adult information can be located to improve search and rescue effects.
In the embodiment, clear facial features can be shot in a long distance by adopting an 8K ultra-high definition technology, accurate positioning is carried out by combining a plurality of devices for linkage tracking of a moving route, and the safety of children can be protected in time by setting specific action identification; through linkage with public security and China children anti-lost systems, the early warning is fast, and the response is fast.
According to the embodiment of the application, the image information monitored by all monitoring equipment in the selected area is obtained, and the identification and comparison are carried out according to the characteristic information of the lost child provided by the user and the image information detected by the monitoring equipment, so that the action path of the lost child is identified and determined; therefore, parents, police officers, community committee personnel, security personnel and other people with requirements can quickly position the current position of the lost child through the action path, and then the child can be quickly found.
On the basis of the foregoing embodiments, fig. 4 is a schematic structural diagram of a device for identifying and positioning a lost child according to an embodiment of the present application. Referring to fig. 4, the lost child identification and positioning apparatus provided in this embodiment specifically includes:
the first acquisition module 21: the monitoring device is used for acquiring image information monitored by all monitoring devices in a preset area within preset time and time information corresponding to the image information;
the second acquisition module 22: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring characteristic information of lost children transmitted by a user;
the recognition module 23: the time information acquisition module is used for identifying and comparing the image information to judge whether the characteristic information exists in the image information, and if so, acquiring time information corresponding to the image information with the characteristic information;
the path generation module 24: and generating a child action path according to the time information and the position information of the monitoring equipment.
According to the embodiment of the application, the image information monitored by all monitoring equipment in the selected area is obtained, and the identification and comparison are carried out according to the characteristic information of the lost child provided by the user and the image information detected by the monitoring equipment, so that the action path of the lost child is identified and determined; the parents can quickly position the current position of the lost child through the action path, and then the child can quickly find the lost child.
The lost child identification and positioning device provided by the embodiment of the application can be used for executing the lost child identification and positioning method provided by the embodiment, and has corresponding functions and beneficial effects.
Fig. 5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, and referring to fig. 5, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors 31 in the electronic device may be one or more, and the number of memories 32 in the electronic device may be one or more. The processor 31, the memory 32, the communication module 33, the input device 34 and the output device 35 of the electronic apparatus may be connected by a bus or other means.
The memory 32 is a computer readable storage medium, and can be used for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the method for identifying and locating a lost child according to any embodiment of the present application (for example, the first obtaining module 21, the second obtaining module 22, the identifying module 23, and the path generating module 24 in the lost child identification and location apparatus). The memory 32 may mainly include a program storage area and a data storage area, wherein the program storage 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 use of the device, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications of the device and data processing by executing software programs, instructions and modules stored in the memory 32, so as to implement the method for identifying and locating the lost child.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided by the above can be used to execute the method for identifying and positioning a lost child provided by the above embodiment, and has corresponding functions and beneficial effects.
Embodiments of the present application also provide a storage medium containing computer-executable instructions, which when executed by a computer processor 31, perform a method of lost child identification localization, the method of lost child identification localization comprising:
acquiring image information monitored by all monitoring equipment in a preset area within preset time and time information corresponding to the image information;
acquiring characteristic information of lost children transmitted by a user;
identifying and comparing the image information to judge whether the image information has the characteristic information, if so, acquiring time information corresponding to the image information with the characteristic information;
and generating a child action path according to the time information and the position information of the monitoring equipment.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors 31.
Of course, the storage medium provided by the embodiments of the present application contains computer executable instructions, and the computer executable instructions are not limited to the method for identifying and locating a lost child described above, and may also perform related operations in the method for identifying and locating a lost child provided by any embodiment of the present application.
The lost child identification and positioning apparatus, the storage medium, and the electronic device provided in the foregoing embodiments may perform the lost child identification and positioning method provided in any embodiment of the present application, and reference may be made to the lost child identification and positioning method provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. A method for identifying and locating a lost child, comprising:
acquiring image information monitored by all monitoring equipment in a preset area within preset time and time information corresponding to the image information;
acquiring characteristic information of lost children transmitted by a user;
identifying and comparing the image information to judge whether the image information has the characteristic information, if so, acquiring time information corresponding to the image information with the characteristic information;
and generating a child action path according to the time information and the position information of the monitoring equipment.
2. The method for identifying and locating the lost child according to claim 1, wherein after the step of generating the lost child action path according to the time information and the corresponding monitoring device position, the method further comprises the following steps:
generating a predicted action path according to the child action path, and acquiring monitoring image information of all monitoring equipment on the predicted action path;
and sending the child action path and the predicted action path to a police service system to alarm.
3. The method for identifying and locating a lost child according to claim 2, wherein after the generating a predicted action path according to the child action path, further comprising:
and controlling all monitoring equipment on the predicted action path to acquire 8k images.
4. The method for identifying and positioning the lost child according to claim 1, wherein the feature information comprises face feature information and clothing feature information;
the identifying the image information to judge whether the feature information exists in the image information, and if so, acquiring time information corresponding to the image information with the feature information, including:
comparing the face feature information with the image information to judge whether the face feature information exists in the image information, and if so, executing the next step;
comparing the clothing feature information with the image information to judge whether the clothing feature information exists in the image information, and if so, executing the next step;
acquiring time information corresponding to the image information with the characteristic information;
correspondingly, after the image information shot at present is acquired through the camera, the method further comprises the following steps:
and triggering an alarm mechanism to carry out alarm operation.
5. The method for identifying and locating the lost child according to claim 1, wherein after the acquiring time information corresponding to the image information in which the characteristic information exists, the method further comprises:
identifying whether the corresponding child in the image information with the characteristic information has a preset action, if so, triggering an alarm mechanism to alarm; the preset action comprises a pulled action or a beating action;
after the generating of the child action path according to the time information and the position information of the monitoring device, the method further includes:
the method comprises the steps of obtaining a target child image shot by a current first camera, and transmitting a corresponding control signal to a second camera for image tracking when the target child reaches the boundary of the first camera image.
6. The method for identifying and locating a lost child according to claim 5, further comprising, prior to triggering an alarm mechanism to alarm:
and identifying adult image information of a specific action appearing in the image information, and storing the adult image information.
7. The method for lost child identification and localization according to any of claims 1-6, further comprising:
when the fact that the lost child enters the car or sits on the car in the image information is recognized, license plate number information of the car where the child takes is obtained, the corresponding car is subjected to path tracking according to the license plate number information, and alarm information is sent to a public security system.
8. A lost child identification and location device, comprising:
a first obtaining module: the monitoring device is used for acquiring image information monitored by all monitoring devices in a preset area within preset time and time information corresponding to the image information;
a second obtaining module: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for acquiring characteristic information of lost children transmitted by a user;
an identification module: the time information acquisition module is used for identifying and comparing the image information to judge whether the characteristic information exists in the image information, and if so, acquiring time information corresponding to the image information with the characteristic information;
a path generation module: and generating a child action path according to the time information and the position information of the monitoring equipment.
9. An electronic device, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of lost child identification positioning as recited in any of claims 1-7.
10. A storage medium containing computer-executable instructions for performing the method of lost child identification localization according to any one of claims 1-7 when executed by a computer processor.
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