98 results about "Identity correlation" patented technology

The invention relates to a weak supervision text-pedestrian image matching method based on local and global dual-granularity identity association. The method comprises the following steps: generating an information asymmetric sample pair which comprises an information imbalance image and an information imbalance text description; extracting original image features, information imbalance image features, original text description features and information imbalance text description features; constructing a global image feature library and a global text description feature library; training a cross-modal image-text feature alignment capability based on a contrast learning loss function; constructing an intra-batch cross-modal identity association relationship in the local granularity, and reinforcing the fine-granularity feature difference capturing capability through inter-modal identity constraint; a dynamic cross-modal identity association network is constructed by taking a visual modal as an anchor point in global granularity, and weak association sample recognition sensitivity is improved in combination with a confidence coefficient dynamic adjustment mechanism; fusing information asymmetric sample pairs to construct a consistency learning mechanism; according to the method, the cross-modal matching precision is remarkably improved, and an efficient solution is provided for text-pedestrian image matching.

The invention discloses a method for realizing holographic traffic at an intersection. The method comprises the following steps: acquiring a real-time video stream at the intersection; motor vehicles, non-motor vehicles and pedestrians in the video are identified based on a deep learning target detection algorithm, a continuous motion track of each target is generated through a multi-target tracking algorithm, identity association is carried out on cross-camera targets in combination with a re-identification algorithm, and structured traffic data including target types, real-time speeds and motion directions are output; obtaining coordinate points of each lane of the intersection based on a geographic information system, and constructing a lane network topological relation; combining with the structured traffic data to generate target trajectory data; and constructing an intersection three-dimensional model based on an unreal engine, generating a virtual target in the three-dimensional model according to the target trajectory data, and driving the virtual target to move in real time. According to the method, a holographic traffic implementation scheme is provided for a business scene which is free of radar and only monitored by a video.

The invention belongs to the field of power distribution network monitoring, and provides a power distribution box damage behavior monitoring method and system based on human body posture estimation, and the method comprises the steps: obtaining a monitoring video of a power distribution box terminal for preprocessing, and obtaining a preprocessed video frame; based on the preprocessed video frame, performing posture recognition by using a pre-trained human body and distribution box posture recognition model to obtain a human body and distribution box posture recognition result; key point tracking and identity association are performed by using a human body and distribution box posture recognition result, a space-time skeleton diagram is constructed, and the space-time skeleton diagram is screened to generate a skeleton space-time sequence; on the basis of the skeleton space-time sequence, a pre-trained space-time diagram convolutional network model is utilized to identify a damage behavior, and a damage behavior identification result is obtained; when the confidence coefficient in the damage behavior recognition result exceeds an alarm threshold value, alarm information is generated, and an alarm process and safety linkage control are triggered. According to the invention, accurate monitoring and real-time early warning of the damage behavior of the distribution box are realized.

The invention relates to the technical field of image processing and target tracking, in particular to a cross-view fusion multi-person detection and tracking method for outdoor view variety, which comprises the following steps of: reconstructing a multi-view picture into three-dimensional / BEV space priori under a unified world coordinate, and feeding back the priori to each camera position feature by using space enhancement attention to obtain a consistent and steady multi-person detection result; then, carrying out online iteration updating on the three-dimensional position and posture of the figure in a tracking mode, introducing OKS-3D gating to combine the 2D key point consistency with the BEV spatial distance, and keeping a uniform ID and a continuous track across cameras; the method solves the problem that the prior art cannot effectively meet the requirements of real-time, accurate and stable target detection, tracking and identity association of an outdoor variety in a complex shooting environment, realizes time-space structured output of accurate detection, stable tracking, unified ID and visual positioning, can directly serve for director scheduling and post-production, and is high in practicability. And the overall manufacturing level and quality of the exterior variety are improved.

The invention relates to the field of identity association, and discloses a mobile terminal identity information association analysis method, system and device and a medium. The method comprises the following steps: acquiring a non-identification parameter set of a terminal to be judged and a stock parameter set of stock equipment; inputting the non-identification parameter set and the stock parameter set into a twin neural network model to obtain a prediction probability; when the prediction probability is greater than a preset probability threshold, determining that the to-be-determined terminal and the stock equipment are the same equipment, and associating the non-identification parameter set with the stock equipment; when the prediction probability is smaller than a preset probability threshold value, marking the to-be-judged terminal as a suspected new device, performing time sequence verification on the suspected new device and the stock device based on the dynamic time sequence parameter and the application behavior parameter, after verification is passed, re-judging that the to-be-judged terminal and the stock device are the same device, and if not, judging that the to-be-judged terminal and the stock device are the same device. And marking the to-be-judged terminal as a new device. According to the invention, the reliability and stability of association can be improved.

Systems, methods, and computer-readable media for modeling data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to generate at least one cyber resilience identity include at least a link or association with metadata corresponding with activity data performed by an entity or third-party or a third-party corresponding with at least one preference, protection, authentication, resilience, or security (PPARS) of a third-party. The one or more processing circuits can associate the at least one cyber resilience identity within a control structure, the control structure being compatible with at least one data structure corresponding with accessing at least a portion of the at least one cyber resilience identity. The one or more processing circuits can and transmit the at least one cyber resilience identity to at least one of (i) a distributed ledger, (ii) a data source, or (iii) an interface.

The invention relates to the technical field of e-commerce safety supervision, and discloses a multi-tenant shopping mall safety supervision method and system based on big data analysis, and the method comprises the steps: carrying out the hierarchical heterogeneous data adaption, and constructing unified data representation; constructing an identity association graph based on probabilistic reasoning; carrying out distributed feature learning by adopting a federal map neural network; hierarchical threat detection and risk assessment are realized; constructing a safety response mechanism of differential privacy protection; deploying a cloud native architecture and a self-healing mechanism; according to the method, the problems of heterogeneous data processing, cross-platform identity association, privacy protection and safety supervision balance, system reliability and the like in a multi-tenant shopping mall environment are effectively solved, the accuracy, comprehensiveness and reliability of safety supervision are improved, meanwhile, user data privacy is protected, and comprehensive technical support is provided for safety operation of a shopping mall.

A set of one or more permissions associated with an identity is determined. One or more risk metrics and corresponding usage associated with the one or more permissions associated with the identity are determined. Access associated with at least one permission from the set of one or more permissions associated with the identity is modified based on the one or more determined risk metrics and corresponding usage associated with the one or more permissions associated with the identity.

The invention provides a scene segmentation and editing method and system based on three-dimensional Gaussian sputtering, and the method comprises the steps: carrying out the two-dimensional instance segmentation of a three-dimensional scene multi-view two-dimensional image, obtaining a two-dimensional instance mask, initializing the three-dimensional reconstruction through three-dimensional Gaussian sputtering, and obtaining a three-dimensional Gaussian body set; associating cross-view consistent semantic features extracted by the pre-training visual language model for each Gaussian body, constructing and iterating a three-dimensional instance prototype library based on a two-dimensional instance mask, and performing conversion to obtain a cross-view consistent two-dimensional supervision signal; adding a learnable instance identity code for each Gaussian body, constructing a multi-dimensional loss function in combination with a two-dimensional supervision signal, a spatial neighborhood relationship and cross-view consistent semantic features, and optimizing learnable parameters containing the instance identity codes; and realizing Gaussian body instance grouping based on the optimized instance identity codes to complete instance-level scene segmentation and editing. According to the method, the technical problems of instance identity association and high-quality instance level generation under the conditions of sparse view angle and close adjacent objects are solved.

Systems, methods, and computer-readable media for modeling data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to generate at least one cyber resilience identity including at least a link or association with metadata and one or more actions or events performed by an entity or a third-party corresponding with one or more plan parameters, product parameters, or service parameters (PPPPSP) of a protection provider. The one or more processors can associate the at least one cyber resilience identity within a control structure, the control structure being compatible with at least one data structure. The one or more processors can transmit the at least one cyber resilience identity to at least one of (i) a distributed ledger, (ii) a data source, or (iii) an interface.

The invention discloses a distributed identity association and verification method and system combining an alliance chain and a trusted CA (Certificate Authority). The method comprises the following steps: firstly, guiding a user to complete identity verification in a trusted third-party authentication center to obtain an authoritative verifiable certificate; based on the certificate, the back end of the system automatically applies for signing and issuing an operation certificate for on-chain interaction to the alliance chain. The system constructs a distributed identity document aggregating verifiable credentials and public key information for a user. A user imports an operation certificate and a private key into a block chain wallet, signs a transaction in person, and registers a DID and a document thereof into an on-chain smart contract, so that the problems that in an existing block chain identity system, an on-chain identity is separated from an entity identity, roots of trust are not uniform, and interoperability is poor are solved; unified and non-tampering on-chain association of a user entity identity, an on-chain operation identity and a standardized DID is realized, an identity system with a trusted CA as a root of trust is established, the sovereignty and security of the user are guaranteed while supervision requirements are met, and the identity interoperability is improved.

The invention provides an RFID-based monitoring system, and relates to the technical field of data processing, and the system comprises a deployment module which is used for deploying a plurality of RFID readers in a monitoring area, forming a read-write network, and recording the geographic coordinates of the readers; constructing an electronic map of the monitoring area based on the geographic coordinates of each reader-writer, and carrying out spatial buffer area analysis by taking a hazard source as a center and combining hazard source attribute data to obtain area boundaries of different hazard levels; dividing an area in the area boundary into two annular monitoring areas; and the positioning module is used for configuring an identity certificate of an RFID electronic tag for a person entering the monitoring area, scanning in a preset period through a read-write network, and obtaining the identity information of the person and the corresponding real-time position. Through cooperation of all the modules, full coverage of a monitoring area, personnel positioning and identity association, risk quantification fusion early warning and full-process datamation management after alarm are achieved, and the accuracy and timeliness of safety monitoring of a crowded place are improved.

The invention discloses a multi-target vision enhancement tracking method and system for an airport flying area, and relates to the technical field of computer vision and artificial intelligence. The method comprises the following steps: performing target detection on a current frame to obtain detection features; accessing a historical track feature library, fusing the appearance of the historical target and the historical motion sequence, and generating enhanced track context features; using a decoder based on an attention mechanism to perform cross-frame association decoding on the current detection features as queries and the enhanced track context features to generate an identity association scoring matrix; and carrying out optimal matching and decision making based on the scoring matrix, completing track updating, new registration and loss elimination, and obtaining a tracking result. According to the method, through end-to-end depth correlation and time sequence feature modeling, the problems of tracking interruption and identity switching caused by target shielding, similar appearance and complex motion in a complex scene of an airport are effectively solved, and the tracking robustness and identity consistency are remarkably improved.

The invention discloses a multi-target physical training action evaluation feedback system based on artificial intelligence, and the system obtains video data and physiological data in a multi-target motion scene through a multi-dimensional data collection module, and optimizes skeleton key point data through a data preprocessing module; and the continuous identity association of the moving target is realized by the multi-target tracking and binding module. The motion modeling module constructs motion state variables based on a target constraint dynamic optimization model and applies physiological and physical constraints, the fusion evaluation module combines local motion decomposition and physiological data correlation analysis to generate a comprehensive score, and the personalized feedback module outputs hierarchical improvement suggestions. And the adaptive standard library module iteratively optimizes standard action parameters according to the user type and historical data. The system solves the problems that in the prior art, multi-target tracking is confused, action evaluation and physiological states are disjointed, and feedback is lack of accuracy, and efficient analysis, accurate evaluation and personalized guidance of actions in a multi-target scene are achieved.

The application discloses a kind of distributed data encryption sharing methods based on block chain, and using block chain realizes the traceable management of search and authorization process.The scheme is first by multi-authorization center to carry out distributed management to attribute domain, and generates attribute key associated with identity for user;In access verification link, construct parameter masking mechanism based on bilinear pairing, so that user attribute private key is not directly exposed in block chain verification and query process.Secondly, data owner carries out layered encryption to shared data and session key, and constructs the improved multi-key search structure, index and ciphertext positioning information are recorded to block chain, to support fast positioning target ciphertext.In addition, the application uses linear secret sharing to set access structure, and designs subset determination mechanism of general attribute name set, binds the download permission of ciphertext with the attribute condition that user can satisfy, to prevent overreach download behavior.Finally, with the help of cloud, outsourcing decryption is executed to generate intermediate result, and terminal only needs to complete light recovery and decryption.The application can give consideration to fine-grained control, high-performance search access and terminal side low load, and is suitable for secure data encryption sharing in resource-limited scene.

A system for, and method of, performing identity association between subjects and systems. A communication module of the system receives wireless signals from two or more mobile communication devices of subjects. An association module of the system identifies a specific mobile communication device from the two mobile communication devices based on one or more criterion / criteria, and transmits data to the identified mobile communication device. The data includes a unique identifier for the system (“system unique identifier”). The association module also receives a message from the identified mobile communication device which includes a unique identifier for the identified mobile communication device, and an identifier which identifies a specific system. The association module then compares the received identifier which identifies a specific system with the system unique identifier, and if they match, to associate the subject, with which the identified mobile communication device is associated, with the system.

In some aspects, a component may generate an identification for a personal account based at least in part on user-asset heuristics, wherein the personal account is heuristically distinguished from an administrative account based at least in part on a number of users associated with an account that is either the personal account or the administrative account. The component may determine an owner identity of the owner associated with the personal account by linking the identification with an identity in a data source based at least in part on one or more heuristically determined identity attributes.

The embodiment of the application discloses a kind of staff visit training voice interaction method and system, method includes: the voice data and voiceprint feature information of staff are collected by voice interaction terminal;The real-time position of staff is obtained by positioning base station;According to voice data, voiceprint feature information and real-time position, staff identity association information is generated, and is given training interactive equipment simultaneously, staff identity association information includes the terminal number, staff state information, staff position information and staff question information associated with staff identity mark one-to-one, staff identity mark is associated with voiceprint feature information;According to staff identity association information, execute position boundary-crossing warning operation and multi-concurrent audio processing operation.The application can solve the problem that new staff position boundary-crossing risk is difficult to early warning and multi-person concurrent question when guiding response is chaotic in the scene of staff pre-service visit training, improve the intelligence and safety of staff pre-service visit training.

The invention provides a spatial information display method based on an intelligent wearable device, and the method comprises the steps: S1, obtaining the perception data of a target object, and carrying out the object recognition and matching based on the perception data, so as to obtain the navigation information associated with the target object; s2, presenting introduction content to the user according to the sequence of the structured catalogue, and responding to an interaction request initiated by the user based on the target object in the navigation process; s3, in the execution process of the step S2, if an interrupt event causing the navigation process to be paused is detected, recording an interrupt context containing the current presentation state and the user identity information; s4, after the guide recovery trigger signal is detected, user identity information confirmation is carried out, and an interrupt context associated with the confirmed identity is retrieved; determining at least one content recovery node based on the interrupt context and the structured directory; and continuing to execute the step S2 according to the content recovery node.

The invention belongs to the technical field of posture recognition, and provides a posture recognition method and system based on identity feature desensitization, a medium and a server, and the method comprises the steps: carrying out the preprocessing of three-dimensional point cloud data containing human body posture information, and carrying out the feature extraction through a deep learning algorithm, and carrying out standardization processing, covariance matrix eigendecomposition and principal component analysis dimension reduction processing on the extracted eigenvector in sequence to obtain a desensitized eigenvector, inputting the desensitized eigenvector into a pre-trained support vector machine classifier, and outputting an identification result including the basic posture of the human body. According to the method, after the original point cloud is converted into the feature vector, the posture data is detected through the SVM classifier, human body joint point recognition and data output are not involved, meanwhile, identity relevance in the point cloud data is effectively eliminated through identity feature desensitization processing, and privacy protection is higher; the deep learning algorithm is adopted to perform feature extraction and posture recognition, so that the recognition accuracy is improved.

The application discloses a kind of golf leading type follow control system based on multi-modal monitoring, including multi-modal acquisition module, data pre-processing and confidence estimation module, target identity correlation module, scene semantic identification module, leading type target point generation and path planning module, behavior state machine control module, dynamic safety zone generation module, abnormal degradation and recovery module, display and interaction module and data closed loop optimization mechanism.The beneficial effects of the present application are: compared with prior art, through the multi-modal fusion of vision+wireless+trajectory consistency test, the robustness of following is greatly improved, and the complex scene is adapted.Combined with hole sequence semantics, leading type guidance is realized, and the efficiency of sports and venue is improved.Meanwhile, the site rules are integrated to ensure compliance, the dynamic safety zone is generated according to the user state to strengthen the swing safety, the explainable abnormal degradation mechanism is equipped to improve the practicability, and the scene adaptability of the equipment can be continuously enhanced through the use of feedback closed loop optimization model.

Provided are a method and system for identity correlation between a transaction applicant (TA) and a watchlist entity (WE). Preexisting watchlist data and other aggregated identity data (AID) are processed to provide for comparison to a collective identity of at least the TA. Using various categorizations for the AID and the collective identity, watchlist tags are generated that can then be matched to the collective identity. As a result of the matching, a watchlist candidacy demonstrating a probability that the identity of the TA does or does not correspond to that of the WE can be generated. Various implementations of identity correlation results may be leveraged for different use cases including an automobile purchasing service, a corporate financing service, an aircraft monitoring service as well as others. Identities may comprise entities, physical objects, real estate or other items or concepts.

The application discloses a kind of adaptive cross-blockchain anonymous account supervision method and device based on space-time graph learning, facing the time dynamicity and spatial heterogeneity of blockchain anonymous account behavior, constructs anonymous account space-time behavior graph model;Based on anonymous account space-time behavior graph model, for single anonymous account space-time behavior graph, utilize the space-time heterogenous graph learning mechanism designed to extract the space-time behavior characteristics in single anonymous account space-time behavior graph;Based on anonymous account space-time behavior graph model, for multiple anonymous account space-time behavior graphs, utilize the space-time heterogenous graph twin network designed to measure the space-time behavior characteristics between different anonymous accounts, obtain the space-time behavior similarity between different anonymous accounts;Face different blockchain environments, utilize the similarity perception graph transfer learning mechanism designed to adaptively optimize the measurement of the space-time behavior similarity between different anonymous accounts under cross-blockchain chain environment, realize adaptive cross-blockchain anonymous account identity association.The purpose of the present application is to accurately model the real-time and diversified transaction behavior of blockchain anonymous accounts, improve the real-time anonymous account transaction feature expression capability, effectively mine anonymous account space-time behavior characteristics, and achieve adaptive and efficient anonymous account identity association in cross-blockchain transaction ecology.

The invention belongs to the technical field of computer vision and robots, and relates to a VSLAM feature point optimization method and system based on semantic stability, and the method comprises the following steps: carrying out the processing of scene image data based on a continuous time sequence, and generating a to-be-processed image frame carrying initial pose information; generating an initial identity three-dimensional landmark set containing the structural landmarks and the instantaneous landmarks; establishing and updating a long-term stability assessment file; carrying out qualification judgment on the instantaneous landmark according to a preset identity promotion threshold condition, and generating a landmark identity migration instruction; generating a three-dimensional landmark set with updated identities; generating a landmark identity association optimization weight set; and outputting the optimized camera pose and the optimized global map. According to the invention, the problem that the long-term stability and the positioning precision of the system are affected due to the fact that the camera track deviates from the real path when the three-dimensional map is deformed in an undifferentiated processing mode is solved.

Provided are a method and system for identity correlation between a transaction applicant (TA) and a watchlist entity (WE). Preexisting watchlist data and other aggregated identity data (AID) are processed to provide for comparison to a collective identity of at least the TA. Using various categorizations for the AID and the collective identity, watchlist tags are generated that can then be matched to the collective identity. As a result of the matching, a watchlist candidacy demonstrating a probability that the identity of the TA does or does not correspond to that of the WE can be generated. Natural language processing may be used in connection with sourced textual information such as from news articles, social media posts and the like to supplement the AID available to the system and to further enhance matching functionality.

The application is suitable for the technical field of target detection, and provides a cross-rod blind area identity binding method and device based on queue information, an electronic equipment and a storage medium. The method comprises the following steps: when a sensor at an upstream point detects disappearance of a target, recording a disappearance order of the disappeared target and first target information at the time of disappearance; when a sensor at a downstream point detects appearance of a new target, recording an appearance order of the new target and second target information at the time of appearance; determining a corresponding relationship according to the appearance order of the new target and the disappearance order of the disappeared target, comparing information of the new target and the disappeared target which match in order; if the first target information matches the second target information, determining that the two targets are the same target and performing identity binding. Thus, through order matching and multi-dimensional information verification, the problem of inaccurate target identity association in a cross-sensor blind area scene is effectively solved, and the continuity and robustness of target tracking are improved.

The invention discloses a non-intrusive traffic identity association method and system based on serial number anchoring and bypass twinning. According to the method, when a zero-trust gateway forwards encrypted service traffic, zero modification of an original message is kept so as to maintain the hardware unloading function of a network card, and meanwhile, a shadow stream carrying identity information and a serial number anchoring interval is sent through an independent UDP channel. And the downstream detection equipment performs logic splicing and identity association on the asynchronously arriving service flow and shadow flow according to the serial number by using an annular buffer area and a bidirectional sliding window algorithm. According to the method, the problems of hardware acceleration failure and encrypted traffic processing caused by traditional intrusive marking are solved, and millisecond identity traceability and refined anomaly detection of the encrypted traffic are realized under the condition that the throughput loss is lower than 1%.

This application provides a method, apparatus, electronic device, and storage medium for silent login across system pages, relating to the field of system authentication technology. The method includes: receiving an access request from a third-party platform and verifying the access request; if the verification passes, generating user access credentials based on the access request and performing internal identity association based on the user access credentials; verifying a page access request from the third-party platform, the page access request including user access credentials and a target page identifier from the third-party platform; if the verification passes, performing a login operation based on an internal authentication engine and generating a system token; constructing a dynamic authentication address based on the system token, the target page identifier, and tenant information, and sending the dynamic authentication address to the third-party platform for automatic authentication login. This application, through a multi-level token conversion mechanism, enables embedded pages to fully reuse the original authentication system, achieving silent login when embedding pages across systems.

This invention discloses a multi-mode fusion gateway based on an integrated video conferencing platform, belonging to the field of communication network technology. The multi-mode fusion gateway includes: a multi-mode data processing module, used to extract audio data, video data, and auxiliary data in real time based on the multi-mode data stream of the integrated video conferencing platform using a data separation algorithm, and to generate audio compatibility mapping relationships between terminals and establish a multi-mode data association index; a user identity association module, used to convert audio streams between different codec standards in real time, and to analyze the comprehensive characteristics of audio, video, and auxiliary data using a multi-modal fusion algorithm to establish an association model between user identity and multi-mode data streams; and a dynamic permission management module, used to construct a cross-platform permission relationship graph and to adjust user audio and video transmission permissions and interaction permissions between different platforms in real time. This invention can effectively solve the audio compatibility problem and permission mapping problem between different terminals within a video conferencing platform.

Systems, methods, and computer-readable media for modeling cyber resilience data using cyber resilience identities and associated metadata are disclosed. A system can include one or more processing circuits configured to receive or identify cyber resilience data including at least a portion of metadata of the cyber resilience data or a link to the portion of the metadata of the cyber resilience data. The processing circuits can generate at least one cyber resilience identity including at least a link with the metadata and one or more actions or events performed by an entity or third-party. The processing circuits can associate the at least one cyber resilience identity within a control structure. The processing circuits can transmit the at least one cyber resilience identity to at least one of (i) a distributed ledger, (ii) a data source, or (iii) an interface.