CN112232295A - Method and device for confirming newly-added target ship and electronic equipment - Google Patents

Method and device for confirming newly-added target ship and electronic equipment Download PDF

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CN112232295A
CN112232295A CN202011241008.9A CN202011241008A CN112232295A CN 112232295 A CN112232295 A CN 112232295A CN 202011241008 A CN202011241008 A CN 202011241008A CN 112232295 A CN112232295 A CN 112232295A
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CN112232295B (en
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邓练兵
欧阳可佩
方家钦
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Zhuhai Dahengqin Technology Development Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
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Abstract

The invention discloses a method and a device for confirming a newly added target ship and electronic equipment, and particularly relates to the technical field of data query. The method comprises the following steps: acquiring ship image data stored in an electronic purse net information storage system; extracting characteristic information of ship data based on the ship image data to generate a ship characteristic database from the characteristic information of the ship data; acquiring image data of a target ship to be confirmed in the electronic purse net and extracting characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed; generating the characteristic information of the target ship to be confirmed and the characteristic information of the ship data into a ship characteristic database for matching to obtain a characteristic matching result; and confirming and outputting the newly added target ship according to the characteristic matching result. The characteristics of the target ship are obtained and compared with ship characteristics in the database to be matched, whether the target ship belongs to a newly-added target ship or not is determined according to a comparison and matching result, and the newly-added target ship is efficiently and accurately determined in the electronic purse net system.

Description

Method and device for confirming newly-added target ship and electronic equipment
Technical Field
The invention relates to the technical field of data query, in particular to a method and a device for confirming a newly added target ship and electronic equipment.
Background
In the electronic purse net, a large number of image collectors (such as cameras) are used for monitoring a running ship in the electronic purse net, so that a large number of ship images are stored in an information storage system of the electronic purse net. When the target ship is the ship appearing in the electronic purse net for the first time, a large amount of manpower is needed to inquire the ship image in the electronic purse net in a certain time and determine whether the target ship appears in the electronic purse net for the first time from the image. And the problem that the newly added target ship in the electronic purse net system is only to be solved urgently cannot be determined efficiently.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, an apparatus, and an electronic device for confirming a newly added target ship, so as to solve a problem that a newly added target ship cannot be efficiently determined in an electronic purse net system.
According to a first aspect, an embodiment of the present invention provides a method for confirming a newly added target ship, including: acquiring ship image data stored in an electronic purse net information storage system; extracting characteristic information of ship data based on the ship image data, and generating a ship characteristic database from the characteristic information of the ship data; acquiring image data of a target ship to be confirmed in an electronic purse net, and extracting characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed; generating a ship characteristic database by the characteristic information of the target ship to be confirmed and the characteristic information of the ship data for matching to obtain a characteristic matching result; and confirming and outputting the newly added target ship according to the feature matching result.
The method for confirming the newly added target ship provided by the invention utilizes ship image data stored in an electronic purse net information storage system to generate a ship characteristic database, compares and matches the characteristics of the obtained target ship with ship characteristics stored in the ship characteristic database by obtaining the characteristics of the target ship, and determines whether the target ship belongs to the newly added target ship according to the comparison and matching result, thereby efficiently and accurately determining the newly added target ship in the electronic purse net system and further accurately and efficiently evaluating the ship information in the electronic purse net.
With reference to the first aspect, in the first embodiment of the first aspect, the ship image data is split into ship images; extracting ship features in the ship images based on the ship images, and classifying according to the ship features to obtain at least one class of ship feature classification results; correspondingly setting category codes according to at least one category of ship feature classification results; and indexing the class code and the ship feature classification result to generate a ship feature classification result index table.
With reference to the first embodiment of the first aspect, in the second embodiment of the first aspect, extracting ship features in the ship image based on the ship image, and classifying according to the ship features to obtain at least one class of ship feature classification results, further includes: and sequentially marking the ship features in the classification result of the at least one class of ship features.
The method for confirming the newly added target ship classifies and sorts ship features, codes and marks classification results after classification and sorting, generates a ship feature classification result index table, and can be used for rapidly matching ship features through the ship feature classification result index table, so that the newly added target ship is rapidly judged, and the execution efficiency of determining the newly added target ship is further improved.
With reference to the first aspect, in a third implementation manner of the first aspect, the method for extracting feature information of a target ship to be confirmed from image data of the target ship to be confirmed further includes: and carrying out classification marking on the characteristic information of the target ship to be confirmed.
The method for confirming the newly added target ship provided by the invention is beneficial to quickly judging the newly added target ship by classifying the target ship, and further improves the execution efficiency of determining the newly added target ship.
With reference to the first aspect, in a fourth embodiment of the first aspect, the method includes: extracting the characteristic information of the target ship to be confirmed one by one to obtain the characteristics of a single target ship to be confirmed; identifying a feature type of the single target vessel to be confirmed based on the features of the single target vessel to be confirmed; and searching ship feature data which are in the ship feature database and meet the feature types corresponding to the single target ship to be confirmed according to the feature types of the single target ship to be confirmed, performing similarity matching on the features of the single target ship to be confirmed and ship features which are in the ship feature database and meet the feature types corresponding to the single target ship to be confirmed, and outputting feature matching similarity.
According to the method for confirming the newly added target ship, the characteristics of the target ship to be confirmed are obtained, similarity comparison is carried out on the characteristics of the target ship to be confirmed and ship characteristics in the ship characteristic database, and therefore whether the characteristics of the target ship belong to newly added ship data or not can be quickly determined from the existing data, time cost and labor cost consumed by manpower detection are avoided, and execution efficiency of confirming the newly added target ship is further improved.
As a result of the first aspect, in a fifth embodiment of the first aspect, comprising: judging whether the feature matching result is smaller than a preset matching result or not; if the characteristic matching result is smaller than a preset matching result, updating the characteristic information of the target ship to be confirmed to the characteristic information of the ship data to generate a ship characteristic database, and extracting and outputting a corresponding target ship to be confirmed according to the characteristic information of the target ship to be confirmed to mark as a newly added target ship; and if the characteristic matching result is greater than or equal to a preset matching result, outputting the image data of the target ship to be confirmed.
According to the method for confirming the newly added target ship, the newly added target ship can be quickly identified by setting the preset matching result, and the identification efficiency is improved.
According to a second aspect, an embodiment of the present invention provides a target vessel inquiry apparatus, including: the first acquisition module is used for acquiring ship image data stored in the electronic purse net information storage system; the database generation module is used for extracting the characteristic information of ship data based on the ship image data and generating a ship characteristic database from the characteristic information of the ship data; the second acquisition module is used for acquiring the image data of the target ship to be confirmed in the electronic purse net and extracting the characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed; the matching module is used for generating a ship characteristic database by the characteristic information of the target ship to be confirmed and the characteristic information of the ship data for matching to obtain a characteristic index matching result; and the output module is used for confirming and outputting the newly added target ship according to the characteristic matching result.
With reference to the second aspect, in a first embodiment of the second aspect, the apparatus further comprises: the splitting module is used for splitting the ship image data into ship images; the classification module is used for extracting ship features in the ship images based on the ship images and classifying according to the ship features to obtain at least one class of ship feature classification results; the setting module is used for correspondingly setting category codes according to at least one category of ship feature classification results; and the classification module is used for indexing the class codes and the ship feature classification results to generate a ship feature classification result index table.
The target ship inquiry device provided by the invention is provided with a first acquisition module, a database generation module, a second acquisition module, a matching module, an output module, a splitting module, a classification module, a setting module and a classification module. Through the mutual connection or interaction among all the modules, the newly added target ship is quickly identified, and the identification efficiency is improved.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, and the processor executing the computer instructions to perform the method for identifying a newly added target vessel as set forth in the first aspect or any one of the embodiments of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the method for identifying a newly added target vessel described in the first aspect or any one of the embodiments of the first aspect.
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The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and not to be construed as limiting the invention in any way, and in which:
fig. 1 is a flowchart of a method for confirming a newly added target ship according to an embodiment of the present invention;
fig. 2 is a flowchart of S20 in the method for confirming a newly added target vessel according to the embodiment of the present invention;
fig. 3 is a flowchart of S40 in the method for confirming a newly added target vessel according to the embodiment of the present invention;
fig. 4 is a flowchart of S50 in the method for confirming a newly added target vessel according to the embodiment of the present invention;
fig. 5 is a block diagram illustrating a configuration of an apparatus for confirming a newly added target vessel according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Reference numerals
10-a first acquisition module; 20-a database generation module; 30-a second acquisition module; 4-a matching module; 50-an output module; 60-a processor; 70-memory.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment discloses a method for confirming a newly added target ship, and fig. 1 is a flowchart of a method for confirming a newly added target ship according to an embodiment of the present invention, and as shown in fig. 1, the method includes:
and S10, acquiring the ship image data stored in the electronic purse net information storage system.
In this embodiment, ship image data in the monitoring range of the electronic purse net needs to be called from the electronic purse net information storage system, wherein the corresponding ship image data can be ship image pictures collected by a monitoring camera or an aerial device arranged in the electronic purse net and a remote sensing image collector, and the image pictures can be regularly transmitted back to the electronic purse net information storage system for storage and backup, so that the ship in the electronic purse net can be monitored and traced to the source conveniently. The ship image data may be video data or picture data.
And S20, extracting the characteristic information of the ship data based on the ship image data, and generating a ship characteristic database from the characteristic information of the ship data.
In this embodiment, the characteristic information of the ship data is ship profile data, and optionally, the characteristic information may also be color data or character data. Through the ship image data of collecting in the time of predetermineeing to follow ship image data and select or collude the characteristic information that selects the operation and draw in the ship image data through the frame, and carry out the characteristic storehouse with the characteristic information who draws newly-built, thereby obtain ship characteristic database, this ship characteristic database can be with the index that carries out relevant characteristic type with the mode of hash table, so that follow-up can be fast convenient the ship characteristic that extraction corresponds, for example: the method comprises the steps of obtaining a plurality of color features, carrying out classification marking according to colors of the color features and different numbers, only determining the marks of the corresponding color features when carrying out ship feature extraction or comparison, and directly enabling the ship color features to be indexed to the corresponding ship color features for comparison or feature extraction, so that the time spent in the ship feature extraction or comparison can be shortened, the feature extraction speed and the feature extraction efficiency are improved, and the confirmation efficiency of a newly-added target ship is further improved.
And S30, acquiring the image data of the target ship to be confirmed in the electronic purse net, and extracting the characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed.
In the embodiment, the target ship to be confirmed running in the monitoring range in the electronic purse net is selected randomly or randomly through the terminal display platform of the electronic purse net, the image of the target ship to be confirmed is captured to obtain the image data of the target ship to be confirmed, and then the ship feature extraction is performed on the image data of the target ship to be confirmed by using a feature extraction algorithm. Alternatively, the ship feature may be a ship feature classified by a tag in a corresponding ship feature database, for example: the extracted features are color features that need to be compared with color features set in color feature types in a ship feature database.
And S40, generating a ship feature database by the feature information of the target ship to be confirmed and the feature information of the ship data for matching, and obtaining a feature matching result.
In this embodiment, the feature information of the target ship to be confirmed is acquired and the feature information of the ship data to which the feature information belongs is judged to generate feature type data in the ship feature database, where the feature type data may be a frame type, a contour type, a color type, and the like. And after determining the feature type data of the feature information of the target ship to be confirmed, extracting the corresponding feature type data to perform similarity matching with the feature information of the target ship to be confirmed one by one, outputting the percentage value of the matched similarity, the feature information of the target ship to be confirmed and the feature information of the target ship to be confirmed in the ship feature database, and prompting 'no similar feature' if the similarity is lower than the preset percentage. The similarity in this embodiment may be calculated according to the existing similarity algorithm, which is not described herein.
And S50, confirming and outputting the newly added target ship according to the characteristic matching result.
In the embodiment, the preset matching result is compared with the feature matching result through the preset matching result, and when the feature matching result is greater than or equal to the preset matching result, the target ship to be confirmed is a registered ship and indicates that the target ship exists in the ship feature database; and when the characteristic matching result is smaller than the preset matching result, the target ship to be confirmed is a newly added target ship, and the target ship cannot be inquired in the ship characteristic database. And judging whether the characteristic matching result is smaller than the preset matching result or not through the preset matching result value so as to determine whether the target ship is a newly added target ship or not, thereby improving the identification efficiency and the identification accuracy of the newly added target ship.
The method for confirming the newly added target ship disclosed by the embodiment comprises the steps of generating a ship characteristic database by utilizing ship image data stored in an electronic purse net information storage system, comparing and matching the acquired characteristics of the target ship with ship characteristics stored in the ship characteristic database by acquiring the characteristics of the target ship, and determining whether the target ship belongs to the newly added target ship according to a comparison and matching result, so that the newly added target ship is efficiently and accurately determined in the electronic purse net system, and the ship information in the electronic purse net can be further accurately and efficiently evaluated.
As shown in fig. 2, as an alternative embodiment of the present application, step S20 further includes:
s201, splitting ship image data into ship images; in the present embodiment, a ship picture frame is extracted from pre-stored ship image data. The pre-stored ship image data is stored in an electronic purse net information storage system, and a plurality of monitoring devices or apparatuses are arranged in the electronic purse net and are used for monitoring and controlling target data in the electronic purse net, for example: pedestrians, vehicles and boats. A plurality of monitoring devices transmit collected videos or image pictures to an electronic purse net information storage system and a terminal display platform of an electronic purse net in a data flow mode, the terminal display platform of the electronic purse net displays the pictures in real time, and the electronic purse net information storage system stores monitoring information, so that subsequent traceability and evaluation work is facilitated. Optionally, the ship picture frame extracted by the method may be a plurality of ship picture frames within a preset time.
S202, extracting ship features in the ship image based on the ship image, and classifying according to the ship features to obtain at least one class of ship feature classification results; in the embodiment, the acquired ship image is firstly combined with a feature extraction algorithm to extract the ship features in the ship image, wherein the feature extraction can be adaptively selected according to the actually handled picture, and the feature extraction algorithm used is not limited herein. Secondly, the obtained ship features are classified according to the type data thereof, such as: color features are classified into one class and contour features are classified into one class. Because the selected features can be of different types when the features of a single ship are extracted, the features of the ship are of a plurality of types when the features of a plurality of ships are extracted, so that the ship features need to be classified, and the feature data of similar or same types are classified, so that the subsequent ship feature matching is conveniently carried out, the matching time is saved, the matching process is optimized, and the newly added ship is efficiently and quickly determined.
S203, correspondingly setting category codes according to at least one category of ship feature classification results; in this embodiment, through categorizing the ship feature, can correspond according to the classification result and look for corresponding ship feature, and because through setting up type data, be unfavorable for the system to discern, need match the index after the data that classify is converted, consequently, in this embodiment, set up the category code to at least a class of ship feature classification result and match type data, through looking for the category code in order to simplify the inquiry to the ship feature, improve its inquiry speed, be convenient for high-efficiently confirm newly-increased ship fast.
S204, indexing the category codes and the ship feature classification results to generate a ship feature classification result index table.
In this embodiment, the category features and the category codes are associated, a corresponding classification result index table is generated, and by calling the corresponding category features or the table corresponding to the category codes, the newly added ship can be quickly queried and determined according to the content of the form index.
As shown in fig. 3, step S40 may include:
s401, extracting the feature information of the target ship to be confirmed one by one to obtain the features of a single target ship to be confirmed.
S402, identifying the feature type of the single target ship to be confirmed based on the features of the single target ship to be confirmed.
And S403, searching ship feature data which meet the feature types corresponding to the single target ship to be confirmed in the ship feature database according to the feature types of the single target ship to be confirmed, performing similarity matching on the features of the single target ship to be confirmed and ship features which meet the feature types corresponding to the single target ship to be confirmed in the ship feature database, and outputting feature matching similarity.
In this embodiment, the similarity matching may be a similarity percentage obtained by obtaining the features of a single target vessel to be confirmed and the vessel features satisfying the feature type corresponding to the single target vessel to be confirmed in the vessel feature database, and performing similarity matching using a similarity algorithm.
Optionally, in steps S401 to S403, it may also be understood that the feature information of the target ship may be a contour of the target ship, the contour of the target ship is extracted according to the feature information, the classification of the ship contour is inquired in the classification result index table, the ship contour type data is extracted, and the ship contour type data is compared with the contour of the target ship one by one, so as to determine whether the feature of the target ship exists in the classification result index table, that is, whether the feature of the target ship exists in the ship feature database.
As shown in fig. 4, step S50 may include:
s501, judging whether the feature matching result is smaller than a preset matching result or not;
in this embodiment, the feature matching result is a similarity percentage, the preset matching result is a preset similarity percentage, and whether a newly added target ship exists is determined by comparing the feature matching result with the similarity percentage.
And S502, if the characteristic matching result is smaller than the preset matching result, updating the characteristic information of the target ship to be confirmed to the characteristic information of the ship data to generate a ship characteristic database, and extracting and outputting the corresponding target ship to be confirmed according to the characteristic information of the target ship to be confirmed to mark as a newly added target ship.
In this embodiment, when the feature matching result is smaller than the preset matching result, the feature data of the target ship corresponding to the feature matching result, and the feature type need to be updated in the ship feature database, so as to maintain the diversity of the ship data in the ship feature database, and reduce the false detection probability. In addition to updating the ship feature database, the target ship to be confirmed is displayed on a terminal display platform of the electronic purse net and marked as a newly added target ship.
And S503, if the characteristic matching result is greater than or equal to the preset matching result, outputting the image data of the target ship to be confirmed.
In this embodiment, when the feature matching result is greater than or equal to the preset matching result, the image data of the target ship to be confirmed may be displayed on the terminal display platform of the electronic purse net, and it is prompted that "the image data already exists", and then the original image data of the target ship appearing for the first time may be searched in the classification result index table according to the data correspondence thereof.
Optionally, step S202 may further include: and sequentially marking the ship features in the classification result of the ship features of at least one class. Specifically, at least one type of ship feature classification result is obtained, wherein the ship feature classification result comprises at least one ship feature, the ship features of the ship feature classification result can correspond to ship image data at a certain time and can be arranged according to the time sequence of the obtained ship features, so that the feature query speed is increased, and the identification of the image data of the target ship to be confirmed is accelerated.
Optionally, step S30 may further include: and carrying out classification marking on the characteristic information of the target ship to be confirmed. Specifically, the classification label may be: color class, contour class, etc.
In addition, an embodiment of the present invention further discloses a device for confirming a newly added target ship, and as shown in fig. 5, a structural block diagram of the device for confirming a newly added target ship according to the embodiment of the present invention includes:
the first acquisition module 10 is used for acquiring ship image data stored in the electronic purse net information storage system; details are described with reference to step S10;
a database generation module 20, configured to extract feature information of ship data based on the ship image data, and generate a ship feature database from the feature information of the ship data, where details are described in reference to step S20;
a second obtaining module 30, configured to obtain image data of a target ship to be confirmed in the electronic purse net, and extract feature information of the target ship to be confirmed from the image data of the target ship to be confirmed, where the detailed content refers to step S30;
a matching module 40, configured to match feature information of the target ship to be confirmed with a ship feature database generated from feature information of the ship data to obtain a feature index matching result, where the detailed content refers to step S40;
and an output module 50, configured to confirm and output a newly added target ship according to the feature matching result, the details of which are described with reference to step S50.
In this embodiment, a first obtaining module, a database generating module, a second obtaining module, a matching module, an output module, a splitting module, a classifying module, a setting module, and a classifying module are provided. Through the mutual connection or interaction among all the modules, the newly added target ship is quickly identified, and the identification efficiency is improved.
Optionally, the device for confirming a newly added target ship provided in the embodiment of the present invention may further include, in addition to the modules described in the above embodiment:
a splitting module, configured to split the ship image data into a ship image, where the detailed content refers to step S201.
And a classification module, configured to extract ship features in the ship image based on the ship image, and perform classification according to the ship features to obtain at least one class of ship feature classification results, where the detailed contents refer to step S202.
And a setting module, configured to set a category code according to at least one category of ship feature classification result, where the detailed content refers to step S203.
And a classification module, configured to index the category code and the ship feature classification result to generate a ship feature classification result index table, where the detailed content refers to step S204.
An embodiment of the present invention further provides an electronic device, as shown in fig. 6, the electronic device may include a processor 60 and a memory 70, where the processor 60 and the memory 70 may be connected by a bus or in another manner, and fig. 6 illustrates the connection by the bus as an example.
The processor 60 may be a Central Processing Unit (CPU). The Processor 7 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof.
The memory 70, as a non-transitory computer readable storage medium, may be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the object tracking method in the embodiment of the present invention (for example, the first obtaining module 10, the database generating module 20, the second obtaining module 30, the matching module 40, and the output module 50 shown in fig. 5). The processor 60 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 70, namely, implementing the method for identifying a newly added target vessel in the above method embodiments.
The memory 70 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 60, and the like. Further, the memory 70 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 70 may optionally include memory located remotely from the processor 60, which may be connected to the processor 60 via 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 one or more modules are stored in the memory 70 and, when executed by the processor 60, perform a method of validating a newly added target vessel as in the embodiment shown in fig. 1-4.
The details of the electronic device and the target vessel inquiry apparatus provided above can be understood by referring to the corresponding relevant description and effects in the embodiments shown in fig. 1 to fig. 3, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims (10)

1. A method of validating a newly added target vessel, comprising:
acquiring ship image data stored in an electronic purse net information storage system;
extracting characteristic information of ship data based on the ship image data, and generating a ship characteristic database from the characteristic information of the ship data;
acquiring image data of a target ship to be confirmed in an electronic purse net, and extracting characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed;
generating a ship characteristic database by the characteristic information of the target ship to be confirmed and the characteristic information of the ship data for matching to obtain a characteristic matching result;
and confirming and outputting the newly added target ship according to the feature matching result.
2. The method of claim 1, wherein extracting feature information of ship data based on the ship image data, and generating a ship feature database from the feature information of the ship data comprises:
splitting the ship image data into ship images;
extracting ship features in the ship images based on the ship images, and classifying according to the ship features to obtain at least one class of ship feature classification results;
correspondingly setting category codes according to at least one category of ship feature classification results;
and indexing the class code and the ship feature classification result to generate a ship feature classification result index table.
3. The method of claim 2, wherein the vessel features in the vessel image are extracted based on the vessel image and classified according to the vessel features to obtain at least one class of vessel feature classification results, and further comprising: and sequentially marking the ship features in the classification result of the at least one class of ship features.
4. The method of claim 1, wherein extracting feature information of the target vessel to be confirmed from the image data of the target vessel to be confirmed, further comprises: and carrying out classification marking on the characteristic information of the target ship to be confirmed.
5. The method of claim 1, wherein matching the feature information of the target ship to be confirmed with a feature information generation ship feature database of the ship data to obtain a feature matching result comprises:
extracting the characteristic information of the target ship to be confirmed one by one to obtain the characteristics of a single target ship to be confirmed;
identifying a feature type of the single target vessel to be confirmed based on the features of the single target vessel to be confirmed;
and searching ship feature data which are in the ship feature database and meet the feature types corresponding to the single target ship to be confirmed according to the feature types of the single target ship to be confirmed, performing similarity matching on the features of the single target ship to be confirmed and ship features which are in the ship feature database and meet the feature types corresponding to the single target ship to be confirmed, and outputting feature matching similarity.
6. The method of claim 1, wherein confirming output of a new target vessel based on the feature matching result comprises:
judging whether the feature matching result is smaller than a preset matching result or not;
if the characteristic matching result is smaller than a preset matching result, updating the characteristic information of the target ship to be confirmed to the characteristic information of the ship data to generate a ship characteristic database, and extracting and outputting the corresponding target ship to be confirmed according to the characteristic information of the target ship to be confirmed and marking the target ship to be confirmed as a newly-added target ship;
and if the characteristic matching result is greater than or equal to a preset matching result, outputting the image data of the target ship to be confirmed.
7. An apparatus for confirming a newly added target vessel, comprising:
the first acquisition module is used for acquiring ship image data stored in the electronic purse net information storage system;
the database generation module is used for extracting the characteristic information of ship data based on the ship image data and generating a ship characteristic database from the characteristic information of the ship data;
the second acquisition module is used for acquiring the image data of the target ship to be confirmed in the electronic purse net and extracting the characteristic information of the target ship to be confirmed from the image data of the target ship to be confirmed;
the matching module is used for generating a ship characteristic database by the characteristic information of the target ship to be confirmed and the characteristic information of the ship data for matching to obtain a characteristic matching result;
and the output module is used for confirming and outputting the newly added target ship according to the characteristic matching result.
8. The apparatus of claim 7, further comprising:
the splitting module is used for splitting the ship image data into ship images;
the classification module is used for extracting ship features in the ship images based on the ship images and classifying according to the ship features to obtain at least one class of ship feature classification results;
the setting module is used for correspondingly setting category codes according to at least one category of ship feature classification results;
and the classification module is used for indexing the class codes and the ship feature classification results to generate a ship feature classification result index table.
9. An electronic device, comprising:
a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of validating a newly added target vessel as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method of validation of a newly added target vessel of any of claims 1-6.
CN202011241008.9A 2020-11-09 2020-11-09 Method and device for confirming newly-added target ship and electronic equipment Active CN112232295B (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114168827A (en) * 2021-11-30 2022-03-11 珠海云洲智能科技股份有限公司 Method and device for indicating ship to park and electronic equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106056978A (en) * 2016-05-30 2016-10-26 中船重工(昆明)灵湖科技发展有限公司 AIS (automatic identification system)-based water area security protection alarm method
WO2019025556A1 (en) * 2017-08-04 2019-02-07 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Method for recording and identifying components connected together by a joining method
CN109710789A (en) * 2018-12-28 2019-05-03 北京旷视科技有限公司 Search method, device, electronic equipment and the computer storage medium of image data
CN109977897A (en) * 2019-04-03 2019-07-05 厦门兴康信科技股份有限公司 A kind of ship's particulars based on deep learning recognition methods, application method and system again
CN110991385A (en) * 2019-12-13 2020-04-10 珠海大横琴科技发展有限公司 Method and device for identifying ship driving track and electronic equipment
WO2020098195A1 (en) * 2018-11-15 2020-05-22 上海埃威航空电子有限公司 Ship identity recognition method based on fusion of ais data and video data
CN111523362A (en) * 2019-12-26 2020-08-11 珠海大横琴科技发展有限公司 Data analysis method and device based on electronic purse net and electronic equipment
CN111582013A (en) * 2019-12-27 2020-08-25 珠海大横琴科技发展有限公司 Ship retrieval method and device based on gray level co-occurrence matrix characteristics
CN111813971A (en) * 2019-04-10 2020-10-23 阿里巴巴集团控股有限公司 Hash table construction and image matching method and device, storage medium and electronic equipment

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106056978A (en) * 2016-05-30 2016-10-26 中船重工(昆明)灵湖科技发展有限公司 AIS (automatic identification system)-based water area security protection alarm method
WO2019025556A1 (en) * 2017-08-04 2019-02-07 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Method for recording and identifying components connected together by a joining method
WO2020098195A1 (en) * 2018-11-15 2020-05-22 上海埃威航空电子有限公司 Ship identity recognition method based on fusion of ais data and video data
CN109710789A (en) * 2018-12-28 2019-05-03 北京旷视科技有限公司 Search method, device, electronic equipment and the computer storage medium of image data
CN109977897A (en) * 2019-04-03 2019-07-05 厦门兴康信科技股份有限公司 A kind of ship's particulars based on deep learning recognition methods, application method and system again
CN111813971A (en) * 2019-04-10 2020-10-23 阿里巴巴集团控股有限公司 Hash table construction and image matching method and device, storage medium and electronic equipment
CN110991385A (en) * 2019-12-13 2020-04-10 珠海大横琴科技发展有限公司 Method and device for identifying ship driving track and electronic equipment
CN111523362A (en) * 2019-12-26 2020-08-11 珠海大横琴科技发展有限公司 Data analysis method and device based on electronic purse net and electronic equipment
CN111582013A (en) * 2019-12-27 2020-08-25 珠海大横琴科技发展有限公司 Ship retrieval method and device based on gray level co-occurrence matrix characteristics

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
TONG SHUAI ET AL.: "A Ship Target Automatic Recognition Method for Sub-meter Remote Sensing Images", 《2016 FOURTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS》 *
王贵槐 等: "基于深度学习的水面无人船前方船只", 《船舶工程》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114168827A (en) * 2021-11-30 2022-03-11 珠海云洲智能科技股份有限公司 Method and device for indicating ship to park and electronic equipment

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