172 results about "Object matching" patented technology

The invention provides a sea surface target tracking method and system based on infrared and visible light image fusion, and relates to the technical field of ocean monitoring, and the method comprises the steps: collecting visible light and infrared image data of a sea surface target; performing feature extraction and fusion through wavelet transform fusion to generate a comprehensive feature map, and performing target recognition on the comprehensive feature map by using a deep learning target detection model; after target recognition, the system calculates the position of a target based on image data and radar data, performs multi-target matching and association through a Hungary algorithm combined with multi-modal features, predicts the position of the target and updates trajectory information in combination with a Kalman filtering or particle filtering algorithm. The infrared camera and the visible light camera carry out dynamic angle adjustment according to the position and the movement track of the target; whether light information correction is carried out or not is judged based on the light correction threshold value, when light information correction is carried out, light information correction features are constructed based on the visible light compensation model and the infrared compensation model through the image data, and information errors caused by the illumination angle are eliminated.

Implementations relate to methods, systems, and computer-readable media for performing similarity analysis of three-dimensional (3D) objects. In some implementations, the method includes obtaining a 3D model of the object that includes a mesh and a texture, encoding the mesh into a mesh feature vector using a first neural network, encoding the texture into a texture feature vector using a second neural network, computing a mesh distance between the mesh feature vector and a reference mesh feature vector of a reference object, computing a texture distance between the texture feature vector and a reference texture feature vector of the reference object, determining, based on the mesh distance and the texture distance, whether the object matches the reference object, classifying the object as a dissimilar object if the object does not match the reference object, and classifying the object as a similar object if the object matches the reference object.

The invention relates to the technical field of visual positioning, and discloses a structured visual positioning method, system and device based on intention recognition, and the method comprises the steps: obtaining a to-be-positioned image and a current voice instruction of a user; inputting the current voice instruction into a pre-trained intention recognition model to perform semantic structuring processing so as to construct a semantic topological graph; wherein the semantic topological graph is used for describing target structured data corresponding to the current voice instruction; reasoning based on the semantic topological graph to obtain a semantic reference corresponding to the current voice instruction; and performing feature alignment on the semantic reference and the to-be-positioned image so as to position a target object matched with the semantic reference in the to-be-positioned image. According to the invention, through semantic structuring processing on the voice instruction, accurate reasoning can be carried out on the semantics containing the spoken language instruction, so that the robustness of a visual positioning system is greatly improved, and the visual positioning effect in a daily dialogue scene is improved.

The invention provides an intelligent automatic door sound control method and system, and relates to the technical field of intelligent control. The method comprises the following steps: acquiring voiceprint control data of an authorized object, and establishing a voiceprint control database; acquiring real-time voice control detection data, and performing object recognition based on voiceprint features in combination with the voiceprint control database to determine a real-time target object; extracting object voice control feature information from the voiceprint control database, and combining real-time voice control detection data to carry out matching analysis based on object features to form object matching analysis result data; and performing control analysis according to the object matching analysis result data to form object sound control data. According to the method, the intelligent technology is utilized to perform feature extraction and effective and accurate comparison and recognition on the sound data of the automatic door needing to be controlled, so that the high-recognition control effect of the automatic door based on the sound data is achieved, and the application range and scene of the automatic door are effectively expanded.

The invention discloses a data query method and device based on text conversion, a medium and equipment, relates to the technical field of big data and financial science and technology, and mainly aims at solving the problem that existing SQL statement query is poor in effectiveness. Comprising the steps of obtaining to-be-queried text content; the text content is labeled on the basis of a labeling model after model training is completed, text segmented words with labels are obtained, the labeling model is obtained by training a large language model on the basis of labeling samples, and the labeling samples comprise sample data with intention labels, condition labels, table and / or field labels and function labels; determining query logic matched with the tag according to a preset query statement conversion relationship, and determining a query object matched with the text segmented word based on a preset query statement word bank; and combining the query logic with the query object to obtain a query statement, and querying a query result matched with the text content based on the query statement.

The invention relates to a visual inspection method and system based on an industrial personal computer, and the method comprises the steps: collecting an original image of an industrial product through an industrial camera, and carrying out the preprocessing of the original image, and obtaining a standardized image; based on a standardized image, global features and multi-scale local features of the image are extracted through a CLIP visual encoder, multi-granularity text prompts are generated, the multi-granularity text prompts comprise image-level global prompts and block-level local prompts, and deep interaction of the text and the visual features is realized through a multi-scale convolution kernel and a multi-head cross attention mechanism. Obtaining a pixel-level structure defect anomaly score graph; based on the standardized image and a preset normal sample reference library, generating a logic anomaly score graph through cross-modal semantic alignment and object matching; and carrying out fusion scoring on the structural defect anomaly score graph and the logic anomaly score graph by adopting weighted fusion, carrying out anomaly judgment based on fusion scores, and carrying out display on an industrial personal computer interface based on the anomaly judgment.

An apparatus for detecting an object using a radar sensor and an image sensor includes an object sensing unit configured to: sense a first object through the radar sensor installed to sense a target road and sense a second object through the image sensor installed to sense the target road; an object matching unit configured to match the first object with the second object; a lookup table management unit configured to generate a lookup table for the target road based on the first object and the second object which are matched with each other; and a complementation unit configured to complement a sensing result from the radar sensor or a sensing result from the image sensor based on the generated lookup table.

Implementations include a computer-implemented method for reducing cyber-security risk, comprising: accessing a knowledge mesh including a plurality of modules, wherein each module is associated with a respective aspect and maintains a knowledge graph specific to the respective aspect, wherein each knowledge graph is generated using data from one or more cyber-security repositories and includes nodes and connections between the nodes; performing an information completion process to generate connections between nodes of knowledge graphs maintained by different modules of the knowledge mesh, including performing at least one of: inheritance-based inference; natural language processing classifier-based inference; or natural language processing-based object matching inference; and identifying, using the generated connections between the nodes of the knowledge graphs, one or more actions to reduce cyber-security risk.

Disclosed are systems and methods for computing an object's weight or the quantity of items within the object based on activations of different robot actuators used in retrieving the object from a storage location. Specifically, the robot may activate one or more actuators during retrieval of an object, may obtain a measurement in response to activating a particular actuator, and may derive a weight of the object based on the measurement by converting the measurement from a first range of values that are associated with activations of the particular actuator to a second range of values that are disassociated with activations of the particular actuator. The robot may then modify its operation in response to the weight that is derived for the object matching or being mismatched to an expected or last tracked weight.

An artificial intelligence-based integrated port management system, relating to the technical field of integrated port management. A ship data acquisition terminal is used for: acquiring ships appearing within a set location during a set time period, marking the ships as pending objects, synchronously acquiring standard information representing the dimensions of the pending objects, and transmitting to a main control terminal a pending object set consisting of multiple pending objects and the standard information thereof; and at the same time, synchronizing remaining berths among ship berths of a port and their corresponding berth adaptation values, wherein the matching between a berth adaptation value and standard information determines whether a pending object can be berthed in a corresponding remaining berth. Then, the main control terminal is used for performing one-to-one combination matching on all the pending objects and the remaining berths to obtain multiple object matching combinations, and then determining selected object combinations on the basis of a remaining value of each object matching combination. A first round of berth matching can be first performed on the basis of time periods and scenarios, and when there are no berths available subsequently, flexible scheduling can be achieved.

A multi-camera (plural, multiple camera) object tracking system is configured to: allow the system to receive an identifier (ID) and tracking information associated with each detected object within an

The application discloses a target coordinate positioning system and method based on a multi-view panoramic camera, relates to the technical field of target coordinate positioning, and comprises the following steps: evaluating the spatial geometric relationship between different camera units; performing target object detection on images to obtain to-be-determined target objects in the images, and screening the to-be-determined target objects in the images in combination with historical images; evaluating the comprehensive cost between the target objects in the images and candidate matching objects in other images, constructing a target cost matrix between the images and the other images and solving the target cost matrix; performing image feature fusion on the images according to the target object matching data between the images, obtaining a fused image, obtaining the three-dimensional coordinates of the target objects in the fused image and collecting the three-dimensional coordinates to obtain target coordinate data in the fused image, so that more target objects can be detected, and accurate positioning of the target objects can be realized.

An object matching method and apparatus, a readable medium, an electronic device and a program product, the method comprising: determining a first object and a second object, the first object being an object of target content to be published, the second object being an object of watching the target content, the target content comprising promotion content provided by a third object; predicting conversion information of the second object after the first object publishes the target content through a deep learning model; determining a target object for publishing the target content from the first object according to the conversion information; and matching the target object with the third object. The conversion information for different first objects and second objects can be predicted through the deep learning model, and then the target object is screened out according to the conversion information to be matched with the third object, so that the matching accuracy of the target object and the third object can be improved. For example, in a content promotion scene, waste of network resources and display resources in a content promotion process can be reduced.

A search device includes a searcher to perform a conditional search to search for an object matching a search condition and generate a list including the object, an outputter to cause a user terminal to display the object included in the generated list on a display screen of the user terminal, and an acquirer to acquire drawn information indicating the object that is drawn on the display screen among the objects included in the list, and in a case where the acquired drawn object is not included in a new list generated by newly performing the conditional search based on the search condition, the searcher adds the drawn object to the new list.

The embodiment of the invention provides an object matching method based on attribute alignment and feature fusion, and the method comprises the steps: obtaining attribute description text data of a first target object, carrying out the feature extraction of the attribute description text data, and obtaining a plurality of first attribute description feature phrases; matching the plurality of first attribute description feature phrases with a set attribute classification table to cluster the first attribute description feature phrases to obtain a plurality of first-dimension attribute feature sequences for describing the first target object; vectorizing each first-dimension attribute feature sequence to obtain a corresponding first attribute feature vector so as to form a feature portrait of the first target object; acquiring attribute description text data of a second target object, and performing feature extraction on the attribute description text data to obtain a plurality of second attribute description feature phrases to form a feature portrait of the second target object so as to judge whether the first target object is matched with the second target object or not.

This invention discloses an automatic browser memory leak location system, method, and medium based on the MCP protocol, belonging to the field of software testing technology. The system includes an MCP communication module, an automated testing module, a heap snapshot acquisition module, an incremental analysis module, a reference chain analysis module, a SourceMap location module, an intelligent repair module, and an IDE visualization module. This invention establishes a standardized connection between the IDE and the browser debugging port through the MCP protocol, achieving fully automated control; it employs a multi-dimensional fingerprint algorithm based on constructed stack frames and attribute structures to solve the problem of cross-snapshot object matching; it utilizes the dominator tree algorithm to compress the reference chain and combines it with the SourceMap index to achieve source code-level location and AI repair suggestion generation. This invention significantly improves the efficiency and accuracy of memory leak location, solving the problems of fragmented debugging links and the inability to accurately map source code.

The invention discloses a player object matching method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps that N objects participating in multi-round fight are determined, each round in the multi-round fight comprises at least one matching group, each matching group comprises two objects participating in the fight, and N is an integer larger than 2; before the ith round in the multi-round battle starts, historical matching information is obtained, and the historical matching information is used for indicating the number of round intervals between every two M objects participating in the ith round; and matching the M objects to form at least one matching group included in the i-th round according to the historical matching information and the limiting condition of the i-th round. By means of the method, it is guaranteed that in any round, the game player which is matched with each player character and carries out battle is not matched within the short round interval number, and the repetition degree of the object matched with the player within the short time is effectively reduced.

Provided are a search assistance system, a mobile body device, a search assistance method, and a recording medium which are capable of contributing to improvement of efficiency of search for a search target.　The search assistance system comprises: an acquisition means which acquires, as information on a search target, a feature amount extracted from an image of the search target; a distribution means which includes an object matching function using a camera and the feature amount and distributes the feature amount extracted from the image of the search target to a mobile body cooperating in the search for the search target; a reception means which receives, from the mobile body, a report including information for identifying the position of the mobile body and including whether or not an object corresponding to the feature amount extracted from the image of the search target has been found; and a recording means for recording, on the basis of the report, a section which is searched for the search target by the mobile body.

The application relates to the technical field of object matching, in particular to a context-based object matching method and device, terminal equipment and a storage medium, wherein the method comprises the following steps: based on context information of a target object in an information source, at least one attribute of the target object is extracted, and an attribute set of the target object is constructed according to the at least one attribute of the target object; then, attribute sets of at least one candidate object in a preset database are acquired, similarity matching is performed on the attribute set of the target object and the attribute sets of the candidate objects, and the similarity of the target object and the at least one candidate object is obtained; and finally, a matching result between the target object and the at least one candidate object is determined. Therefore, the problems of matching limitations, high error rate and incomplete information completion in processing object recognition and alignment in multi-source heterogeneous data due to the fact that the prior art relies on fixed attributes, context utilization is insufficient and correlation reasoning capability is insufficient in the related art are solved.

The application relates to an object matching method and device, computer equipment, a computer readable storage medium and a computer program product, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving. The method comprises the following steps: acquiring an object screening condition comprising a plurality of sub-screening conditions, determining each screening level nested in the object screening condition, and determining the level condition of each screening level according to the nesting relationship between the screening levels; for each screening level with a subsequent screening level, adding a candidate object in a candidate object set of the screening level to a candidate object set of the subsequent screening level; the matching result of the candidate object and the level condition of the screening level meets the matching condition of the screening level; and screening a target object matching the object screening condition from the candidate object set of the last screening level. The above method can improve the work efficiency of the object matching process.

The present invention improves and perfects a newborn's palm print collection device and a database construction method, adopts an improved palm print detection film to achieve contact-type palm print collection and archiving of physical materials; ensures the effectiveness of non-contact collection through multiple means such as three-dimensional ranging, visual guidance, and feature object matching; improves collection accuracy by directly comparing a palm print-transferred film obtained during the contact-type palm print collection process with an image obtained during the non-contact palm print collection process; improves efficiency and accuracy by optimizing image processing and feature vector extraction algorithms; contact-type palm print collection and foot 3D molding are used to assist in improving the reliability of palm print collection, and their by-products can be directly archived or kept as a souvenir.

The embodiment of the invention provides a target recognition method and system, processing equipment and a storage medium, and relates to the technical field of computer vision. The method comprises: acquiring a to-be-recognized image; inputting the to-be-recognized image into a pre-trained target feature extraction model, and obtaining a target feature of a target object output by the target feature extraction model; based on a current object feature library and the target features, determining an object matching result of the target object, the current object feature library including registration features of registered objects; and based on the target features and the object matching result, updating the current object feature library, and returning to the step of obtaining the image to be recognized so as to perform target recognition by using a new current object feature library. In this way, the current object feature library is updated by using the object features obtained in the target recognition process and the object matching result, and the accuracy of the target recognition result can be improved.

The invention relates to a natural language query method and system, computer equipment and a readable storage medium. The method comprises the steps that under the condition that a query input request of a natural language type is received, the query input request and an intermediate query language rule are assembled into a cue word, the cue word is input into a large language model, and the cue word is used for guiding the large language model to recognize a to-be-queried field object in the query input request, determining at least one piece of candidate query field meta-information matched with the to-be-queried field object, and generating an intermediate query statement conforming to an intermediate query language rule according to the query input request and the at least one piece of candidate query field meta-information; obtaining an intermediate query language statement generated by the large language model, analyzing the intermediate query language statement into an abstract syntax tree, and converting the abstract syntax tree into a standard query statement; and performing data query through the standard query statement to obtain a query result. The method can improve the accuracy of natural language query.

The embodiment of the disclosure provides a method, apparatus, device, and storage medium for object recognition. The method includes: determining a set of first candidate object regions based on image information of a media content; determining, based on text information associated with the media content, an object region from the set of first candidate object regions; and determining an object matching the object region based on a visual feature of the object region and a text feature, the text feature being determined based on the text information. Based on the manner, disclosure may recognize an object in the media content for multimodal information of the image information of the media content and text information associated with the media content, which may effectively improve the accuracy of the object recognition.

Embodiments of the present application provide an image generation method, a reward model training method, an electronic device, a storage medium and a computer program product. The method comprises: obtaining object description text of a target object, original object image and scene information matched with a to-be-generated image carried by an image generation instruction; taking the scene information, the object description text and the original object image as input information, calling a pre-tuned visual language model to generate background image design description text adapted to the scene information, wherein when the scene information is a weak signal in the input information, the background image design description text can reflect scene preference characteristics matched with the scene information; calling a preset image generation model to generate an image of the target object matching the scene information under the constraint of the background image design description text, the image of the target object in the original object image and layout information. The image generated by the method is more matched with the scene preference corresponding to the scene information.

The invention discloses a disordered stacking scene long-sequence object grabbing and releasing decision method based on a double-loop strategy, and the method comprises two closed-loop strategies, the inner-loop strategy is responsible for improving the object matching accuracy through active sensing, after a mechanical arm grabs an object, the strategy can sense the object from multiple visual angles through rotating the object, and the object matching accuracy is improved. And the matching confidence of the object and the object in the target scene is increased. The outer ring strategy is responsible for executing grabbing and placing operations, predicting grabbing actions in combination with uncertain object matching and grabbing capability, and determining whether the object is directly placed at a target position or not according to the matching condition of the current object, or temporarily placing the object in a buffer area; according to the method, object matching, inner ring strategy learning and implementation of an inner ring termination mechanism are carried out by utilizing a pre-trained visual basic model, the method is more robust to the influence of perception noise, and the optimality of a task level is considered through reinforcement learning closed-loop optimization, so that a better task success rate and efficiency are achieved.

The invention discloses an object matching method and device, a readable medium, electronic equipment and a program product. The method comprises the following steps: respectively determining target users associated with a first object and a second object and classification tags of the first object and the second object; determining a first matching result according to the target user associated with the first object and the target user associated with the second object, and determining a second matching result according to the classification label of the first object and the classification label of the second object; and determining a matching result between the first object and the second object based on the first matching result and the second matching result. The matching result between the two objects is determined by combining the user dimension and the object classification dimension, and the object matching accuracy is improved in a finer-grained matching mode. In a content promotion scene, the accuracy of determining the similar product of the to-be-promoted product can be improved, so that the waste of network resources and display resources in a content promotion process can be reduced.

This application discloses a data processing method, apparatus, device, and readable storage medium based on blockchain. The method includes: obtaining a first object matching request sent by a first node for a first object; invoking an evaluation smart contract in the blockchain based on the first object matching request, and obtaining a first evaluation parameter of the first object in the blockchain through the evaluation smart contract; invoking a matching smart contract in the blockchain based on the first evaluation parameter, and obtaining second evaluation parameters corresponding to N second objects contained in the matching pool through the matching smart contract; determining the parameter differences between the N second evaluation parameters and the first evaluation parameter, and determining the competing objects of the first object among the N second objects contained in the matching pool based on the N parameter differences. Using this application, in game matching services, the transparency of game matching can be supported, the accuracy of game matching can be improved, and thus game activity can be increased.

An image processing method and apparatus, a computer device, and a computer-readable storage medium. The image processing method includes: displaying a first application page, the first application page including an original role object and a face fusion control; acquiring a user face image of a target user in a case that the face fusion control is triggered; and displaying a target role object on a second application page, the target role object being obtained by fusing the user face image and the original role object, a display angle of the target role object matching posture information of the target user, and the posture information of the target user being determined according to the user face image.