KR102515757B1 - Apparatus for detecting targets and method thereof - Google Patents

Abstract

According to the present disclosure, obtaining target information detected in a specific burst included in a plurality of bursts in a computing device; and acquiring detection candidate target information corresponding to a specific burst based on candidate target information and target information detected in the specific burst.

Description

Apparatus and method for detecting targets {APPARATUS FOR DETECTING TARGETS AND METHOD THEREOF}

The present disclosure relates to a device and method for detecting a target. More specifically, the present disclosure obtains a plurality of statistical distances between a plurality of detection targets and a plurality of candidate targets, and obtains a first target set including pairs of detection targets and candidate targets corresponding to statistical distances smaller than a preset threshold. Acquire, determine a candidate target corresponding to the first detection target with respect to the first detection target included in the first target set, and correspond with the first candidate target with respect to the first candidate target included in the first target set An apparatus (e.g. server) and method for obtaining a pair of a detection target and a candidate target corresponding to each other by determining a detection target to be detected.

A radar is a detection system that measures at least one of distance, direction, angle, and speed related to a target using radio waves. In relation to radar target detection, a binary cumulative detection technique using multiple bursts may be used to increase detection probability, reduce false alarm rate, and obtain a distance to a detection target and a speed of the target.

Each burst used in binary stack detection may correspond to the use of a different pulse repetition frequency (PRF). By using different PRFs, it is possible to obtain the distance to the detection target and the speed of the target by making the detection range such as distance and speed different for each burst. In the case of using multiple bursts, one target can be detected in a plurality of bursts, and the targets detected in the plurality of bursts can be combined into one plot data through binary cumulative detection.

The performance of the binary cumulative detection method can be determined based on the method of connecting the results detected in the burst. In the case of using the maximum likelihood (ML) method in the problem of connecting burst detection results, there is a disadvantage that the amount of computation greatly increases as the number of detection results increases.

The problem to be solved by this embodiment is to provide a target detection device and method for obtaining a pair of a detection target and a candidate target that correspond to each other based on a method other than the maximum likelihood method in order to solve the above-mentioned problem. is to do

The technical problem to be achieved by the present embodiment is not limited to the technical problems described above, and other technical problems may be inferred from the following embodiments.

A method of detecting a target through a plurality of bursts in a computing device according to an embodiment includes acquiring target information detected in a specific burst included in the plurality of bursts; and obtaining detection candidate target information corresponding to the specific burst based on candidate target information and target information detected in the specific burst; obtaining a plurality of statistical distances between a plurality of detection targets included in the target information and a plurality of candidate targets included in the candidate target information; acquiring a first target set including a pair of a detection target and a candidate target corresponding to a statistical distance smaller than a preset threshold; and in relation to the first detection targets included in the first target set, determining a candidate target corresponding to the first detection target among one or more candidate targets associated with the first detection target, and included in the first target set. obtaining a pair of mutually corresponding detection targets and candidate targets by determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target with respect to the first candidate target being include

According to an embodiment, the obtaining of a pair of detection targets and candidate targets may include selecting a candidate target having the smallest statistical distance from the first detection target among one or more candidate targets associated with the first detection target. determining a candidate target corresponding to the detection target; and determining a detection target having the smallest statistical distance from the first candidate target among one or more detection targets associated with the first candidate target as a detection target corresponding to the first candidate target. there is.

According to an embodiment, the target detection method includes overlapping acquisition by a number of times greater than a predetermined threshold among pairs of mutually corresponding detection targets and candidate targets included in the plurality of detection candidate target information obtained for each of the plurality of bursts. The method may further include determining a pair of the detected detection target and the candidate target as detection targets.

According to an embodiment, the candidate target information may include target information detected in an initial burst.

According to an embodiment, the target detection method selects a detection target that is not included in a pair of a detection target and a candidate target corresponding to each other among a plurality of detection targets included in the target information detected in the specific burst, the candidate target information Further comprising the step of adding to, the candidate target information to which detection targets not included in the mutually corresponding pairs of detection targets and candidate targets are added, and may be used in bursts subsequent to the specific burst.

A computer-readable non-transitory recording medium recording a program for executing a method of detecting a target according to an embodiment in a computer, wherein the code of the program includes a target detected in a specific burst included in the plurality of bursts. code to obtain information; and code for obtaining detection candidate target information corresponding to the specific burst based on candidate target information and target information detected in the specific burst, wherein the code for obtaining the detection candidate target information is detected in the specific burst code for acquiring a plurality of statistical distances between a plurality of detection targets included in the target information and a plurality of candidate targets included in the candidate target information; code for obtaining a first set of targets including pairs of detection targets and candidate targets corresponding to statistical distances less than a preset threshold; and in relation to the first detection targets included in the first target set, determining a candidate target corresponding to the first detection target among one or more candidate targets associated with the first detection target, and included in the first target set. code for obtaining a pair of mutually corresponding detection targets and candidate targets by determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target with respect to the first candidate target being include

An arithmetic device for detecting a target through a plurality of bursts according to an embodiment includes a memory and a processor for storing instructions, and the processor is connected to the memory to detect a target in a specific burst included in the plurality of bursts. To obtain target information, to obtain detection candidate target information corresponding to a specific burst based on candidate target information and target information detected in the specific burst, and to obtain the detection candidate target information, the processor: A plurality of statistical distances between a plurality of detection targets included in target information detected in a specific burst and a plurality of candidate targets included in the candidate target information are obtained, and detection targets and candidates corresponding to statistical distances smaller than a preset threshold value are obtained. obtaining a first target set comprising a pair of targets, and corresponding to a first detection target of one or more candidate targets associated with the first detection target in relation to the first detection target included in the first target set; Determining candidate targets and, with respect to the first candidate targets included in the first set of targets, determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target, thereby corresponding to each other. A pair of a detection target and a candidate target is obtained.

Details of other embodiments are included in the detailed description and drawings.

According to the present disclosure, a method for detecting a target comprises detecting a target by comparing a plurality of statistical distances between a plurality of detection targets included in target information detected for each of a plurality of bursts and a plurality of candidate targets included in the candidate target information. Accuracy of target detection can be guaranteed while reducing the amount of computation.

Effects of the invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a schematic configuration diagram illustrating a configuration of an arithmetic device for detecting a target through a plurality of bursts according to an exemplary embodiment.
2 is an operational flow diagram of a method of detecting a target through a plurality of bursts according to an embodiment.
3 is an exemplary view illustrating an operation of determining a candidate target corresponding to a first detection target among one or more candidate targets associated with a first detection target in a specific burst according to an embodiment.
4 is an exemplary view illustrating an operation of determining a detection target corresponding to a first candidate target among one or more detection targets associated with a first candidate target in a specific burst according to an embodiment.
5 is an exemplary view illustrating candidate target information according to an exemplary embodiment.

The terms used in the embodiments have been selected as general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technologies, and the like. In addition, in a specific case, there are also terms arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the corresponding description. Therefore, terms used in the present disclosure should be defined based on the meaning of the term and the general content of the present disclosure, not simply the name of the term.

In the entire specification, when a part is said to "include" a certain component, it means that it may further include other components, not excluding other components unless otherwise stated. In addition, terms such as "...unit" and "...module" described in the specification mean a unit that processes at least one function or operation, which is implemented as hardware or software, or a combination of hardware and software. It can be.

The expression of “at least one of a, b, and c” described throughout the specification means 'a alone', 'b alone', 'c alone', 'a and b', 'a and c', 'b and c' ', or 'all of a, b, and c'.

A “terminal” referred to below may be implemented as a computer or portable terminal capable of accessing a server or other terminals through a network. Here, the computer includes, for example, a laptop, desktop, laptop, etc. equipped with a web browser, and the portable terminal is, for example, a wireless communication device that ensures portability and mobility. , IMT (International Mobile Telecommunication), CDMA (Code Division Multiple Access), W-CDMA (W-Code Division Multiple Access), LTE (Long Term Evolution), etc. It may include a handheld-based wireless communication device.

Hereinafter, with reference to the accompanying drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily carry out the present disclosure. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

In describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present invention pertains and are not directly related to the present invention will be omitted. This is to more clearly convey the gist of the present invention without obscuring it by omitting unnecessary description.

For the same reason, in the accompanying drawings, some components are exaggerated, omitted, or schematically illustrated. Also, the size of each component does not entirely reflect the actual size. In each figure, the same reference number is assigned to the same or corresponding component.

Advantages and features of the present invention, and methods for achieving them, will become clear with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments make the disclosure of the present invention complete, and common knowledge in the art to which the present invention belongs It is provided to fully inform the holder of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numbers designate like elements throughout the specification.

At this time, it will be understood that each block of the process flow chart diagrams and combinations of the flow chart diagrams can be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates means to perform functions. These computer program instructions may also be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular way, such that the computer usable or computer readable memory The instructions stored in are also capable of producing an article of manufacture containing instruction means that perform the functions described in the flowchart block(s). The computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to generate computer or other programmable data processing equipment. Instructions for performing processing equipment may also provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is possible for the functions mentioned in the blocks to occur out of order. For example, two blocks shown in succession may in fact be executed substantially concurrently, or the blocks may sometimes be executed in reverse order depending on their function.

1 is a schematic configuration diagram illustrating a configuration of an arithmetic device for detecting a target through a plurality of bursts according to an exemplary embodiment. 1 shows components related to the present embodiment, but is not limited thereto, and other general-purpose components may be further included in addition to the components shown in FIG. 1 .

Referring to FIG. 1 , an arithmetic device 100 may include a processor 110 and a memory 120 . Depending on the embodiment, the computing device 100 may further include a transceiver 130 . Each element shown in FIG. 1 means a unit that processes at least one function or operation, and may be implemented as hardware or software, or a combination of hardware and software.

According to an embodiment, the computing device 100 of FIG. 1 may be implemented as a server. For example, the computing device 100 may include a plurality of computer systems or computer software implemented as a network server, and may configure and provide various information as a web page. For example, the computing device 100 is connected to a sub-device capable of communicating with another network server through a computer network such as an intranet or the Internet to receive a task execution request, perform the task, and provide an execution result. It may refer to computer systems and computer software. In addition, the computing device 100 can be understood as a broad concept including a series of application programs that can operate on a network server and various databases built therein. For example, the computing device 100 uses a network server program provided in various ways according to an operating system such as DOS, Windows, Linux, UNIX, or MacOS. can be implemented However, the present specification is not limited by the implementation method of the computing device 100 .

The processor 110 may control overall operations of the arithmetic device 100 . For example, the processor 110 may control the operation of the arithmetic device 100 by controlling elements of the arithmetic device 100 based on instructions stored in the memory 120 . The processor 1120 may include at least one device to be described later through FIGS. 1 to 5 or may perform at least one method to be described later through FIGS. 1 to 5 .

Specifically, the processor 110 may perform the steps of obtaining target information detected in a specific burst included in a plurality of bursts and detecting candidate target information corresponding to the specific burst based on the candidate target information and the target information detected in the specific burst. Take the steps to obtain In this regard, a candidate target and a detection target that are "associated" with each other correspond to a concept encompassing a pair of a detection target and a candidate target corresponding to a statistical distance smaller than a preset threshold, and a candidate target and a detection target that are "corresponded" to each other. may be understood to correspond to a pair of a detection target and a candidate target included in detection candidate targets obtained according to an operation of reference numeral 250 to be described later, among mutually correlated candidate targets and detection targets. For example, reference numeral 310 to be described later is understood to indicate a pair of mutually correlated candidate targets and detection targets, and reference numerals 420 and 510 to be described later are understood to indicate pairs of mutually corresponding candidate targets and detection targets. It can be.

More details related to each step will be described later with reference to FIG. 2 .

The memory 120 may store various data related to the computing device 100 . For example, the memory 120 may store at least one instruction for operating the computing device 100 . In this case, the processor 110 may perform various operations based on instructions stored in the memory 120 . The memory 120 may store information for performing at least one method to be described later. Memory 120 may be volatile memory or non-volatile memory.

The computing device 100 may be connected to an external device through the transceiver 130 and exchange data. Depending on the embodiment, the transceiver 130 may transmit and receive data by being connected to an external device through a network.

2 is an operational flow diagram of a method of detecting a target through a plurality of bursts according to an embodiment.

Referring to FIG. 2 , the computing device 100 according to an exemplary embodiment obtains target information detected in a specific burst included in a plurality of bursts (210). Target information detected in a specific burst may include a plurality of detection targets.

The computing device 100 obtains detection candidate target information corresponding to a specific burst based on the candidate target information and the target information detected in the specific burst (220). Candidate target information may include target information detected in the first burst. In addition, the candidate target information may further include detection targets not included in a pair of detection targets and candidate targets corresponding to each other among a plurality of detection targets included in target information detected in at least one of bursts prior to a specific burst. there is.

More details related to the candidate target information will be described later with reference to FIG. 5 .

To obtain detection candidate target information, the computing device 100 obtains a plurality of statistical distances between a plurality of detection targets included in target information detected in a specific burst and a plurality of candidate targets included in the candidate target information (230). ). The statistical distance is a value representing the degree of error between each detection target and each candidate target. The smaller the degree of error between each detection target and each candidate target, the higher the probability that the detection target and the candidate target match each other.

According to an embodiment, the statistical distance may correspond to a value obtained by dividing the square of the error by the variance. In this regard, as an example, the statistical distance is the sum of the square of the error divided by the variance with respect to at least some of the error related to the distance, the error related to displaying the position of the target with respect to the antenna plane, and the error related to the rate of change of the distance. results can be matched.

As a more specific example, an example of an error vector may correspond to Equation 1 below, an example of a variance vector may correspond to Equation 2 below, and a statistical distance may correspond to Equation 3 below.

In relation to Equation 1, e corresponds to the error vector, r corresponds to the distance, u and v correspond to the position of the target in the plane of the UV antenna, and rate may correspond to the change rate of the distance.

는 분산 벡터에 대응하고, 우변의

는 분산 기호에 대응하며, 분산 연산의 대상은 수학식 1과 마찬가지로 r은 거리에 대응하고, u 및 v는 UV 안테나 면에서의 표적의 위치에 대응하며, rate는 거리의 변화율에 대응할 수 있다.Regarding Equation 2, the left side of

corresponds to the variance vector, and the right side of

Corresponds to the scatter sign, the object of the scatter operation, r corresponds to the distance, u and v correspond to the position of the target in the UV antenna plane, and rate corresponds to the rate of change of the distance.

Regarding Equation 3, d may correspond to a statistical distance.

To obtain detection candidate target information, the computing device 100 obtains a first target set including a pair of detection targets and candidate targets corresponding to a statistical distance smaller than a preset threshold (240). For example, when the preset threshold value is A, the computing device 100 does not include a pair of a detection target and a candidate target corresponding to a statistical distance greater than A in the first target set, and a pair corresponding to a statistical distance smaller than A A pair of detection targets and candidate targets may be included in the first target set.

To obtain detection candidate target information, the computing device 100, in relation to the first detection target included in the first target set, includes a candidate target corresponding to a first detection target among one or more candidate targets associated with the first detection target. and determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target in relation to the first candidate target included in the first target set, thereby detecting the target and the candidate corresponding to each other. A pair of targets is obtained (250).

Through this process, the computing device 100 causes each detection target included in the first target set to correspond with 0 or 1 candidate target, and each candidate target included in the first target set corresponds to 0 or 1 candidate target. It can be made to correspond with the dog's detection target.

According to an embodiment, in connection with step 250, the computing device 100 associates a candidate target having the smallest statistical distance from the first detection target among one or more candidate targets associated with the first detection target to the first detection target. and determining a detection target having the smallest statistical distance from the first candidate target among one or more detection targets associated with the first candidate target as a detection target corresponding to the first candidate target, thereby corresponding detection targets to each other. and pairs of candidate targets. In this case, a detection target determined to have a relatively higher probability of coincidence with a candidate target may correspond to each other.

More details related to step 250 will be described later with reference to FIGS. 3 and 4 .

As a result of performing steps 210 to 250 for each of a plurality of bursts, the computing device 100 may obtain a plurality of detection candidate target information. The computing device 100 may be configured to overlap a detection target and a candidate target obtained by overlapping a number of times greater than a preset threshold among pairs of detection targets and candidate targets corresponding to each other included in a plurality of detection candidate target information obtained for each of a plurality of bursts. A pair of can be determined as a detection target. For example, when the total number of bursts is 10 and the preset threshold is 5, the processing device 100 determines that a specific detection target and a specific candidate target correspond to each other in more than 5 bursts out of 10 bursts. A corresponding detection target and a candidate target may be determined as detection targets.

Finally, a pair of the detection target and the candidate target determined by the computing device 100 as a detection target may be determined as a target detected by the radar.

The scope of the present invention further includes a computer-readable non-transitory recording medium recording a program for executing a method of detecting a target in a computer. Code of the program includes code for obtaining target information detected in a specific burst included in a plurality of bursts and code for obtaining detection candidate target information corresponding to a specific burst based on candidate target information and target information detected in a specific burst. wherein the code for obtaining the detection candidate target information includes code for obtaining a plurality of statistical distances between a plurality of detection targets included in the target information detected in a specific burst and a plurality of candidate targets included in the candidate target information; Code for obtaining a first set of targets comprising pairs of detection targets and candidate targets corresponding to statistical distances less than a threshold value, and one associated with the first detection target with respect to the first detection targets included in the first set of targets. A candidate target corresponding to a first detection target among the above candidate targets is determined, and a detection corresponding to the first candidate target among one or more detection targets associated with the first candidate target with respect to the first candidate target included in the first target set is performed. and code for obtaining a pair of mutually corresponding detection targets and candidate targets by determining the targets.

Reference numerals 210 to 250 of FIG. 2 may be applied to details related to the execution of each code.

3 is an exemplary view illustrating an operation of determining a candidate target corresponding to a first detection target among one or more candidate targets associated with a first detection target in a specific burst according to an embodiment.

Referring to FIG. 3 , a first set of targets according to an embodiment is shown at 310 . Specifically, the first target set may be displayed in a matrix having a plurality of detection targets included in target information detected in a specific burst as rows and a plurality of candidate targets included in candidate target information as columns. For convenience of understanding, the plurality of detection targets are denoted as detection 1, detection 2, detection 3, detection 4, detection 5, and detection 6, and the plurality of candidate targets are candidate 1, candidate 2, candidate 3, candidate 4, and candidate. 5 can be displayed. However, the number of the plurality of candidate targets and the plurality of detection targets is only an example, and the number is not limited to the above example.

The number displayed in each cell where the row and column intersect corresponds to the statistical distance corresponding to the pair of the detection target and the candidate target included in the first target set. reason) may correspond to a case where a pair of detection target and candidate target is not included in the first target set. For example, in an example shown at reference numeral 310, the first target set is {(candidate 1, detection 1), (candidate 2, detection 2), (candidate 2, detection 3), (candidate 4, detection 2), ( Candidate 5, Detection 5)}.

As described above, the first set of targets may include pairs of detection targets and candidate targets corresponding to statistical distances less than a preset threshold. For example, the first set of targets may include pairs of detection targets and candidate targets corresponding to statistical distances less than 3 (see 310). In this case, the statistical distance of at least some of the pairs of detection targets and candidate targets in which cells are empty, for example, (candidate 3, detection 2), may be 3 or more.

The computing device 100 may determine a candidate target corresponding to the first detection target among one or more candidate targets associated with the first detection target in relation to the first detection target included in the first target set. According to an embodiment, a candidate target having the smallest statistical distance from the first detection target among one or more candidate targets associated with the first detection target may be determined as a candidate target corresponding to the first detection target. For example, in an example shown at reference numeral 310, candidate 2 having a shorter statistical distance from detection 2 among candidate 2 and candidate 4 associated with detection 2 is determined as a candidate target corresponding to detection 2, and the result is determined as a candidate target corresponding to detection 2. can be displayed on

4 is an exemplary view illustrating an operation of determining a detection target corresponding to a first candidate target among one or more detection targets associated with a first candidate target in a specific burst according to an embodiment.

Referring to FIG. 4 , in relation to the first candidate target included in the first target set, the computing device 100 according to an embodiment corresponds to a first candidate target among one or more detection targets associated with the first candidate target. detection targets can be determined. According to an embodiment, a detection target having the smallest statistical distance from the first candidate target among one or more detection targets associated with the first candidate target may be determined as a detection target corresponding to the first candidate target. For example, in an example shown at reference numeral 410, among detection 2 and detection 3 associated with candidate 2, detection 3 having a shorter statistical distance from candidate 2 may be determined as a detection target corresponding to candidate 2, and the result is determined as a detection target. 420 can be displayed.

3 and 4 have described an embodiment in which the step of determining the candidate target corresponding to the first detection target is performed first, and then the step of determining the detection target corresponding to the first candidate target is performed. It is not to be seen that the contents of are limited to this order. For example, the computing device 100 may first determine a detection target corresponding to the first candidate target and then determine a candidate target corresponding to the first detection target, or a detection target corresponding to the first candidate target and the first detection target. It may also be possible to determine candidate targets corresponding to and in one step.

5 is an exemplary view illustrating candidate target information according to an exemplary embodiment.

Referring to FIG. 5 , candidate target information used by the computing device 100 to acquire detection candidate target information in a specific burst is described. Specifically, candidate target information according to an embodiment may include target information detected in the first burst. In addition, candidate target information according to an embodiment is a detection target that is not included in a pair of a detection target and a candidate target corresponding to each other among a plurality of detection targets included in target information detected in at least one of bursts prior to a specific burst. may further include For example, a particular burst is the fourth burst, target 1 and target 2 are detected in the first burst, target 3 and target 4 are detected in the second burst, and target 3 and target 1 are paired with each other. target 4 does not have a candidate target corresponding to each other, targets 5 and 6 are detected in the third burst, and when it is determined that there is no candidate target corresponding to target 5 and target 6, a specific burst (=Yes) th burst), the candidate target information may include targets 1 and 2 detected in the first burst and targets 4, 5, and 6 for which no candidate targets corresponding to each other exist, as candidate targets.

In a similar context, the computing device 100 may add a detection target that is not included in a pair of a detection target and a candidate target corresponding to each other among a plurality of detection targets included in target information detected in a specific burst to the candidate target information. there is. In this case, the candidate target information may be used in a burst after a specific burst. In this regard, in the case of an example of reference numeral 510, detection 2, detection 4, and detection 6 for which candidate targets corresponding to each other do not exist may be included in candidate targets of the next burst. In conclusion, the candidate target information of the next burst is the same target as detection 2, candidate 6, detection 4, together with candidate 1, candidate 2, candidate 3, candidate 4, and candidate 5 included in the candidate target information in the previous burst. Candidate 8, which is the same target as Candidate 7 and Detection 6, may be further included as a candidate target (520).

On the other hand, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they are only used in a general sense to easily explain the technical content of the present invention and help understanding of the present invention. It is not intended to limit the scope of the invention. It is obvious to those skilled in the art that other modified examples based on the technical idea of the present invention can be implemented in addition to the embodiments disclosed herein.

An electronic device or terminal according to the above-described embodiments includes a processor, a memory for storing and executing program data, a permanent storage unit such as a disk drive, a communication port for communicating with an external device, a touch panel, and a key ), user interface devices such as buttons, and the like. Methods implemented as software modules or algorithms may be stored on a computer-readable recording medium as computer-readable codes or program instructions executable on the processor. Here, the computer-readable recording medium includes magnetic storage media (e.g., read-only memory (ROM), random-access memory (RAM), floppy disk, hard disk, etc.) and optical reading media (e.g., CD-ROM) ), and DVD (Digital Versatile Disc). A computer-readable recording medium may be distributed among computer systems connected through a network, and computer-readable codes may be stored and executed in a distributed manner. The medium may be readable by a computer, stored in a memory, and executed by a processor.

This embodiment can be presented as functional block structures and various processing steps. These functional blocks may be implemented with any number of hardware or/and software components that perform specific functions. For example, an embodiment is an integrated circuit configuration such as memory, processing, logic, look-up table, etc., which can execute various functions by control of one or more microprocessors or other control devices. can employ them. Similar to components that can be implemented as software programming or software elements, the present embodiments include data structures, processes, routines, or various algorithms implemented as combinations of other programming constructs, such as C, C++, Java ( It can be implemented in a programming or scripting language such as Java), assembler, Python, or the like. Functional aspects may be implemented in an algorithm running on one or more processors. In addition, this embodiment may employ conventional techniques for electronic environment setting, signal processing, and/or data processing. Terms such as “mechanism”, “element”, “means” and “composition” may be used broadly and are not limited to mechanical and physical components. The term may include a meaning of a series of software routines in association with a processor or the like.

The foregoing embodiments are merely examples and other embodiments may be implemented within the scope of the claims described below.

Claims (7)

A method for detecting a target through a plurality of bursts in a computing device, comprising:
obtaining target information detected in a specific burst included in the plurality of bursts; and
Acquiring detection candidate target information corresponding to the specific burst based on candidate target information and target information detected in the specific burst;
Obtaining the detection candidate target information
obtaining a plurality of statistical distances between a plurality of detection targets included in the target information detected in the specific burst and a plurality of candidate targets included in the candidate target information;
acquiring a first target set including a pair of a detection target and a candidate target corresponding to a statistical distance smaller than a preset threshold; and
In relation to the first detection target included in the first target set, determining a candidate target corresponding to the first detection target among one or more candidate targets associated with the first detection target, and included in the first target set In relation to a first candidate target, determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target, thereby obtaining a pair of mutually corresponding detection targets and candidate targets. target detection method.
According to claim 1,
Obtaining a pair of the detection target and the candidate target
determining a candidate target having the smallest statistical distance from the first detection target among one or more candidate targets associated with the first detection target as a candidate target corresponding to the first detection target; and
and determining a detection target having the smallest statistical distance from the first candidate target among one or more detection targets associated with the first candidate target as a detection target corresponding to the first candidate target. target detection method.
According to claim 1,
Among the pairs of detection targets and candidate targets corresponding to each other included in the plurality of detection candidate target information obtained for each of the plurality of bursts, pairs of detection targets and candidate targets obtained by overlapping a number of times greater than a preset threshold are detected as detection targets. Target detection method further comprising the step of determining as.
According to claim 1,
The target detection method of claim 1 , wherein the candidate target information includes target information detected in a first burst.
According to claim 1,
Adding a detection target that is not included in a pair of a detection target and a candidate target corresponding to each other among a plurality of detection targets included in the target information detected in the specific burst to the candidate target information;
The target detection method of claim 1 , wherein the candidate target information to which a detection target not included in the pair of the detection target and the candidate target corresponding to each other is added is used in a burst after the specific burst.
A computer-readable non-transitory recording medium recording a program for executing a method of detecting a target in a computer,
The code of the program is,
Code for obtaining target information detected in a specific burst included in a plurality of bursts; and
Code for obtaining detection candidate target information corresponding to the specific burst based on candidate target information and target information detected in the specific burst;
The code for obtaining the detection candidate target information is
code for obtaining a plurality of statistical distances between a plurality of detection targets included in the target information detected in the specific burst and a plurality of candidate targets included in the candidate target information;
code for obtaining a first set of targets including pairs of detection targets and candidate targets corresponding to statistical distances less than a preset threshold; and
In relation to the first detection target included in the first target set, determining a candidate target corresponding to the first detection target among one or more candidate targets associated with the first detection target, and included in the first target set and, in relation to a first candidate target, determining a detection target corresponding to the first candidate target among one or more detection targets associated with the first candidate target, thereby obtaining a pair of mutually corresponding detection targets and candidate targets. A non-transitory recording medium that can be read by a computer.
An arithmetic device for detecting a target through a plurality of bursts,
A memory for storing instructions and a processor;
The processor is connected to the memory,
obtaining target information detected in a specific burst included in the plurality of bursts, and obtaining detection candidate target information corresponding to the specific burst based on candidate target information and target information detected in the specific burst;
To obtain the detection candidate target information, the processor obtains a plurality of statistical distances between a plurality of detection targets included in target information detected in the specific burst and a plurality of candidate targets included in the candidate target information; Acquiring a first target set including a pair of a detection target and a candidate target corresponding to a statistical distance smaller than a preset threshold, and relating to the first detection target included in the first target set, the first detection target determining a candidate target corresponding to the first detection target from among one or more associated candidate targets; A computing device that obtains a pair of mutually corresponding detection targets and candidate targets by determining a detection target corresponding to the first candidate target.

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