63 results about "Identity correlation" patented technology

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.

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 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 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.

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 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.

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.