CN111739065A - Target identification method, system, electronic equipment and medium based on digital printing - Google Patents
Target identification method, system, electronic equipment and medium based on digital printing Download PDFInfo
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- 239000004744 fabric Substances 0.000 claims abstract description 53
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Abstract
The invention discloses a target identification method, a system, electronic equipment and a medium based on digital printing, wherein the target identification method comprises the following steps: presetting different target printed patterns; carrying out digital printing treatment on the fabric by adopting different target printed patterns to obtain different target fabrics; collecting basic information of a plurality of objects; presetting the corresponding relation between the basic information of each object and different target printed patterns; acquiring a scene image of an object to be identified in a target scene; acquiring a clothing image corresponding to an object to be identified according to the scene image, and extracting a first printed pattern in the clothing image; and acquiring target basic information corresponding to the first printed pattern based on the corresponding relation so as to identify the object to be identified. The invention meets the requirement of tracking and recording the personnel in the visual field in the remote video; in addition, the identification method can also be applied to various application scenes such as security, attendance checking, spying prevention and the like.
Description
Technical Field
The invention relates to the technical field of digital printing, in particular to a target identification method, a target identification system, electronic equipment and a medium based on digital printing.
Background
At present, people in a visual field in a remote video need to be tracked and recorded so as to be applied to various application scenes such as security, attendance checking, spying prevention and the like.
However, the pattern of the cloth is printed by using the plate material of the traditional camouflage clothes, and the same pattern can be repeatedly appeared on the common plate material, so that the camouflage clothes made of the cloth with the same pattern repeatedly appears has high pattern repeatability; when a plurality of soldiers wear camouflage clothes with the same patterns, different identities of the soldiers cannot be distinguished, so that the requirement for tracking and identifying the soldiers cannot be met.
Disclosure of Invention
The invention aims to overcome the defects that people in the field of view in a remote video cannot be tracked and recorded easily due to the fact that patterns of cloth are printed by using plates based on a traditional camouflage clothing in the prior art, and the like, and aims to provide a target identification method, a system, electronic equipment and a medium based on digital printing.
The invention solves the technical problems through the following technical scheme:
the invention provides a target identification method based on digital printing, which comprises the following steps:
presetting different target printed patterns;
carrying out digital printing treatment on the fabric by adopting different target printed patterns to obtain different target fabrics; wherein the target fabric is used for making a garment;
collecting basic information of a plurality of objects;
presetting the corresponding relation between the basic information of each object and different target printed patterns;
acquiring a scene image of an object to be identified in a target scene;
acquiring a clothing image corresponding to the object to be identified according to the scene image, and extracting a first printed pattern in the clothing image;
and acquiring target basic information corresponding to the first printed pattern based on the corresponding relation so as to identify the object to be identified.
Preferably, the target printed pattern comprises different patterns;
different patterns in different target printed patterns are different in arrangement and combination modes; and/or the presence of a gas in the gas,
the target printed pattern comprises at least one of a two-dimensional code, a bar code and/or a fingerprint.
Preferably, in the same target scene, the garment worn by each object to be identified is made of one target fabric, and the target fabrics of the garments worn by each object to be identified are different.
Preferably, when one of the objects comprises a person, the object to be recognized corresponds to a person; and/or the presence of a gas in the gas,
and when one object comprises a group, the object to be identified corresponds to the group.
Preferably, when the target printed pattern comprises different patterns, the different patterns are camouflage patterns; and/or the presence of a gas in the gas,
the basic information comprises at least one of fingerprint information, face image information and names; and/or the step of acquiring a scene image of the object to be identified in the target scene comprises the following steps:
and acquiring a video file corresponding to the target scene, and taking a frame image in the video file as the scene image.
The invention also provides a target recognition system based on digital printing, which comprises:
the first preset module is used for presetting different target printing patterns;
the printing processing module is used for carrying out digital printing processing on the fabric by adopting different target printed patterns so as to obtain different target fabrics; wherein the target fabric is used for making a garment;
the information acquisition module is used for acquiring basic information of a plurality of objects;
the second preset module is used for presetting the corresponding relation between the basic information of each object and different target printed patterns;
the image acquisition module is used for acquiring a scene image of an object to be identified in a target scene;
the pattern extraction module is used for acquiring a clothing image corresponding to the object to be identified according to the scene image and extracting a first printed pattern in the clothing image;
and the object identification module is used for acquiring the target basic information corresponding to the first printed pattern based on the corresponding relation so as to identify the object to be identified.
Preferably, the target printed pattern comprises different patterns;
different patterns in different target printed patterns are different in arrangement and combination modes; and/or the presence of a gas in the gas,
the target printed pattern comprises at least one of a two-dimensional code, a bar code and/or a fingerprint.
Preferably, in the same target scene, the garment worn by each object to be identified is made of one target fabric, and the target fabrics of the garments worn by each object to be identified are different.
Preferably, when one of the objects comprises a person, the object to be recognized corresponds to a person; and/or the presence of a gas in the gas,
and when one object comprises a group, the object to be identified corresponds to the group.
Preferably, when the target printed pattern comprises different patterns, the different patterns are camouflage patterns; and/or the presence of a gas in the gas,
the basic information comprises at least one of fingerprint information, face image information and names; and/or the presence of a gas in the gas,
the image acquisition module is used for acquiring a video file corresponding to the target scene and taking a frame image in the video file as the scene image.
The invention also provides an electronic device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the target identification method based on the digital printing.
The present invention also provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned object recognition method based on digital printing.
On the basis of the common knowledge in the field, the preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
in the invention, different target printed patterns (such as camouflage patterns arranged and combined in different ways) are preset, and digital printing is carried out according to the target printed patterns to obtain different fabrics so as to manufacture the garment; associating different target printed patterns with basic information of different objects in advance; in an actual scene, different objects wear clothes made of cloth with different target printed patterns, the printed patterns of the clothes of the different objects to be identified are extracted by collecting frame images in a remote video file, and then basic information of the objects to be identified is obtained to realize accurate identification of the different objects, so that the requirement of tracking and recording personnel in the visual field in a remote video is met; in addition, the identification method can also be applied to various application scenes such as security, attendance checking, spying prevention and the like.
Drawings
Fig. 1 is a flowchart of a target identification method based on digital printing according to embodiment 1 of the present invention.
Fig. 2 is a schematic block diagram of a digital printing-based target identification system according to embodiment 2 of the present invention.
Fig. 3 is a schematic structural diagram of an electronic device for implementing a target identification method based on digital printing according to embodiment 3 of the present invention.
Detailed Description
The invention is further illustrated by the following examples, which are not intended to limit the scope of the invention.
Example 1
As shown in fig. 1, the object recognition method based on digital printing of the present embodiment includes:
s101, presetting different target printing patterns;
the target printed patterns comprise different patterns, and different patterns in different target printed patterns are different in arrangement and combination modes.
When the target printed pattern includes different patterns, the different patterns are camouflage patterns.
In other embodiments, the target printed pattern may also include, but is not limited to, two-dimensional code, bar code, fingerprint.
S102, performing digital printing treatment on the fabric by adopting different target printed patterns to obtain different target fabrics; wherein the target fabric is used for making clothing;
s103, collecting basic information of a plurality of objects;
the basic information includes, but is not limited to, fingerprint information, face image information, and name for characterizing the identity of the object.
S104, presetting the corresponding relation between the basic information of each object and different target printed patterns;
s105, acquiring a scene image of an object to be identified in a target scene;
the method comprises the steps of obtaining a video file corresponding to a target scene, and taking a frame image in the video file as a scene image.
S106, acquiring a clothing image corresponding to the object to be identified according to the scene image, and extracting a first printed pattern in the clothing image;
the method comprises the steps of obtaining a clothing image corresponding to an object to be recognized from a scene image based on characteristic information (color characteristics, texture characteristics, shape characteristics, local characteristic points and the like) corresponding to clothing by adopting an image recognition algorithm, and obtaining a printed pattern in the clothing image from the scene image based on the characteristic information (color characteristics, texture characteristics, shape characteristics, local characteristic points and the like) of the printed pattern.
The image recognition algorithm may include, but is not limited to, a CNN (convolutional neural network) algorithm and an RCNN algorithm (a target detection algorithm), and what kind of image recognition algorithm is specifically adopted may be determined according to actual requirements.
And S107, acquiring target basic information corresponding to the first printed pattern based on the corresponding relation to identify the object to be identified.
When one object comprises one person, the object to be recognized corresponds to one person;
when an object includes a group (i.e., includes more than two people), the object to be recognized corresponds to a group.
In the same target scene, the clothes worn by each object to be identified are made of one target fabric, and the target fabrics of the clothes worn by each object to be identified are different.
In the embodiment, each target printed pattern is different so as to ensure that different fabrics are produced to be unique and have uniqueness, and further ensure the uniqueness of the clothes made of the fabrics.
The following is a detailed description with reference to examples:
taking the camouflage patterns with different target printed patterns in different arrangement combinations as an example, carrying out digital printing treatment on the fabric based on the camouflage patterns in different arrangement combinations to obtain different fabrics, and manufacturing camouflage clothes according to the different fabrics; wherein, each cloth is correspondingly made into a set of camouflage clothes;
acquiring basic information such as face information, name and fingerprint information corresponding to each soldier, and performing association setting on each basic information and a set of printed patterns corresponding to the camouflage clothes;
when each soldier is in a camp or a battlefield and the like, monitoring different application scenes through remote videos; the method comprises the steps of collecting a remote video file corresponding to an application scene, collecting a frame image from the remote video file, intercepting a clothing image corresponding to each soldier in the frame image, extracting a corresponding printed pattern from each clothing image, and matching basic information of the soldier related to the printed pattern through the printed image, so that identity recognition of different soldiers in the remote video is realized, and tracking and recording of each soldier in a field are facilitated.
The method is characterized in that a preset printed pattern and a digital printing technology are combined to produce a unique fabric to manufacture camouflage clothes with different printed patterns, and the identity of a target object is uniquely determined by identifying the printed patterns on the clothes in an actual application scene.
In addition, the identification method can be combined with big data and block chain technology to be applied to the fields of security, seepage prevention and the like.
In the embodiment, different target printed patterns are preset, and digital printing is carried out according to the target printed patterns to obtain different fabrics so as to manufacture the garment; associating different target printed patterns with basic information of different objects in advance; in an actual scene, different objects wear clothes made of cloth with different target printed patterns, the printed patterns of the clothes of the different objects to be identified are extracted by collecting frame images in a remote video file, and then basic information of the objects to be identified is obtained to realize accurate identification of the different objects, so that the requirement of tracking and recording personnel in the visual field in a remote video is met; in addition, the identification method can also be applied to various application scenes such as security, attendance checking, spying prevention and the like.
Example 2
As shown in fig. 2, the object recognition system based on digital printing of the present embodiment includes a first preset module 1, a printing processing module 2, an information collecting module 3, a second preset module 4, an image collecting module 5, a pattern extracting module 6, and an object recognition module 7.
The first preset module 1 is used for presetting different target printing patterns;
the target printed patterns comprise different patterns, and different patterns in different target printed patterns are different in arrangement and combination modes.
When the target printed pattern includes different patterns, the different patterns are camouflage patterns.
In other embodiments, the target printed pattern may also include, but is not limited to, two-dimensional code, bar code, fingerprint.
The printing processing module 2 is used for performing digital printing processing on the fabric by adopting different target printed patterns so as to obtain different target fabrics; wherein the target fabric is used for making clothing;
the information acquisition module 3 is used for acquiring basic information of a plurality of objects;
the basic information includes, but is not limited to, fingerprint information, face image information, and name for characterizing the identity of the object.
The second preset module 4 is used for presetting the corresponding relation between the basic information of each object and different target printed patterns;
the image acquisition module 5 is used for acquiring a scene image of an object to be identified in a target scene;
the method comprises the steps of obtaining a video file corresponding to a target scene, and taking a frame image in the video file as a scene image.
The pattern extraction module 6 is used for acquiring a clothing image corresponding to an object to be identified according to the scene image and extracting a first printed pattern in the clothing image;
the method comprises the steps of obtaining a clothing image corresponding to an object to be recognized from a scene image based on characteristic information (color characteristics, texture characteristics, shape characteristics, local characteristic points and the like) corresponding to clothing by adopting an image recognition algorithm, and obtaining a printed pattern in the clothing image from the scene image based on the characteristic information (color characteristics, texture characteristics, shape characteristics, local characteristic points and the like) of the printed pattern.
The image recognition algorithm may include, but is not limited to, a CNN algorithm and an RCNN algorithm, and what kind of image recognition algorithm is specifically adopted may be determined according to actual requirements.
The object recognition module 7 is configured to obtain basic target information corresponding to the first printed pattern based on the corresponding relationship to recognize the object to be recognized.
When one object comprises one person, the object to be recognized corresponds to one person;
when an object includes a group (i.e., includes more than two people), the object to be recognized corresponds to a group.
In the same target scene, the clothes worn by each object to be identified are made of one target fabric, and the target fabrics of the clothes worn by each object to be identified are different.
In the embodiment, each target printed pattern is different so as to ensure that different fabrics are produced to be unique and have uniqueness, and further ensure the uniqueness of the clothes made of the fabrics.
The following is a detailed description with reference to examples:
taking the camouflage patterns with different target printed patterns in different arrangement combinations as an example, carrying out digital printing treatment on the fabric based on the camouflage patterns in different arrangement combinations to obtain different fabrics, and manufacturing camouflage clothes according to the different fabrics; wherein, each cloth is correspondingly made into a set of camouflage clothes;
acquiring basic information such as face information, name and fingerprint information corresponding to each soldier, and performing association setting on each basic information and a set of printed patterns corresponding to the camouflage clothes;
when each soldier is in a camp or a battlefield and the like, monitoring different application scenes through remote videos; the method comprises the steps of collecting a remote video file corresponding to an application scene, collecting a frame image from the remote video file, intercepting a clothing image corresponding to each soldier in the frame image, extracting a corresponding printed pattern from each clothing image, and matching basic information of the soldier related to the printed pattern through the printed image, so that identity recognition of different soldiers in the remote video is realized, and tracking and recording of each soldier in a field are facilitated.
The method is characterized in that a preset printed pattern and a digital printing technology are combined to produce a unique fabric to manufacture camouflage clothes with different printed patterns, and the identity of a target object is uniquely determined by identifying the printed patterns on the clothes in an actual application scene.
In addition, the identification method can be combined with big data and block chain technology to be applied to the fields of security, seepage prevention and the like.
In the embodiment, different target printed patterns are preset, and digital printing is carried out according to the target printed patterns to obtain different fabrics so as to manufacture the garment; associating different target printed patterns with basic information of different objects in advance; in an actual scene, different objects wear clothes made of cloth with different target printed patterns, the printed patterns of the clothes of the different objects to be identified are extracted by collecting frame images in a remote video file, and then basic information of the objects to be identified is obtained to realize accurate identification of the different objects, so that the requirement of tracking and recording personnel in the visual field in a remote video is met; in addition, the identification method can also be applied to various application scenes such as security, attendance checking, spying prevention and the like.
Example 3
Fig. 3 is a schematic structural diagram of an electronic device according to embodiment 3 of the present invention. The electronic device comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the digital printing-based target identification method in embodiment 1. The electronic device 30 shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 3, the electronic device 30 may be embodied in the form of a general purpose computing device, which may be, for example, a server device. The components of the electronic device 30 may include, but are not limited to: the at least one processor 31, the at least one memory 32, and a bus 33 connecting the various system components (including the memory 32 and the processor 31).
The bus 33 includes a data bus, an address bus, and a control bus.
The memory 32 may include volatile memory, such as Random Access Memory (RAM)321 and/or cache memory 322, and may further include Read Only Memory (ROM) 323.
The processor 31 executes various functional applications and data processing, such as the digital printing-based object recognition method in embodiment 1 of the present invention, by running the computer program stored in the memory 32.
The electronic device 30 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, etc.). Such communication may be through input/output (I/O) interfaces 35. Also, model-generating device 30 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via network adapter 36. As shown in FIG. 3, network adapter 36 communicates with the other modules of model-generating device 30 via bus 33. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the model-generating device 30, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, and data backup storage systems, etc.
It should be noted that although in the above detailed description several units/modules or sub-units/modules of the electronic device are mentioned, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the units/modules described above may be embodied in one unit/module according to embodiments of the invention. Conversely, the features and functions of one unit/module described above may be further divided into embodiments by a plurality of units/modules.
Example 4
The present embodiment provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor implements the steps in the digital calico based object recognition method in embodiment 1.
More specific examples, among others, that the readable storage medium may employ may include, but are not limited to: a portable disk, a hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible implementation, the invention can also be implemented in the form of a program product, which includes program code for causing a terminal device to execute the steps of implementing the digital print based object recognition method in example 1, when the program product is run on the terminal device.
Where program code for carrying out the invention is written in any combination of one or more programming languages, the program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on a remote device or entirely on the remote device.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that this is by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (12)
1. A target identification method based on digital printing is characterized by comprising the following steps:
presetting different target printed patterns;
carrying out digital printing treatment on the fabric by adopting different target printed patterns to obtain different target fabrics;
collecting basic information of a plurality of objects;
presetting the corresponding relation between the basic information of each object and different target printed patterns;
acquiring a scene image of an object to be identified in a target scene;
acquiring a clothing image corresponding to the object to be identified according to the scene image, and extracting a first printed pattern in the clothing image;
and acquiring target basic information corresponding to the first printed pattern based on the corresponding relation so as to identify the object to be identified.
2. The digital printing based object recognition method of claim 1, wherein the object print pattern comprises different patterns;
different patterns in different target printed patterns are different in arrangement and combination modes; and/or the presence of a gas in the gas,
the target printed pattern comprises at least one of a two-dimensional code, a bar code and/or a fingerprint.
3. The digital printing-based target identification method as claimed in claim 1, wherein in the same target scene, the clothing worn by each object to be identified is made of one target fabric, and the target fabrics of the clothing worn by each object to be identified are different.
4. The digital printing-based target recognition method of any one of claims 1-3, wherein when one of the objects comprises a person, the object to be recognized corresponds to the person; and/or the presence of a gas in the gas,
and when one object comprises a group, the object to be identified corresponds to the group.
5. The digital printing-based target recognition method of claim 2, wherein when the target printed pattern includes different patterns, the different patterns are camouflage patterns; and/or the presence of a gas in the gas,
the basic information comprises at least one of fingerprint information, face image information and names; and/or the presence of a gas in the gas,
the step of acquiring a scene image of the object to be identified in the target scene comprises:
and acquiring a video file corresponding to the target scene, and taking a frame image in the video file as the scene image.
6. A digital printing-based object recognition system, the object recognition system comprising:
the first preset module is used for presetting different target printing patterns;
the printing processing module is used for carrying out digital printing processing on the fabric by adopting different target printed patterns so as to obtain different target fabrics;
the information acquisition module is used for acquiring basic information of a plurality of objects;
the second preset module is used for presetting the corresponding relation between the basic information of each object and different target printed patterns;
the image acquisition module is used for acquiring a scene image of an object to be identified in a target scene;
the pattern extraction module is used for acquiring a clothing image corresponding to the object to be identified according to the scene image and extracting a first printed pattern in the clothing image;
and the object identification module is used for acquiring the target basic information corresponding to the first printed pattern based on the corresponding relation so as to identify the object to be identified.
7. The digital printing based object recognition system of claim 6, wherein the object print pattern comprises different patterns;
different patterns in different target printed patterns are different in arrangement and combination modes; and/or the presence of a gas in the gas,
the target printed pattern comprises at least one of a two-dimensional code, a bar code and/or a fingerprint.
8. The digital printing-based target recognition system of claim 6, wherein in the same target scene, the clothing worn by each object to be recognized is made of one target fabric, and the target fabrics of the clothing worn by each object to be recognized are different.
9. The digital printing-based target recognition system of any one of claims 6-8, wherein when one of the objects comprises a person, the object to be recognized corresponds to a person; and/or the presence of a gas in the gas,
and when one object comprises a group, the object to be identified corresponds to the group.
10. The digital printing based object recognition system of claim 7, wherein when the object print pattern comprises different patterns, the different patterns are camouflage patterns; and/or the presence of a gas in the gas,
the basic information comprises at least one of fingerprint information, face image information and names; and/or the presence of a gas in the gas,
the image acquisition module is used for acquiring a video file corresponding to the target scene and taking a frame image in the video file as the scene image.
11. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the digital printing based object recognition method of any one of claims 1-5 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the digital printing based object recognition method of any one of claims 1 to 5.
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