45 results about "Partial occlusion" patented technology

The invention relates to a multi-source perception-based mechanical arm operation data acquisition system and method, the system comprises an isomorphic mechanical arm operation module, a multi-view visual image acquisition module, an optical motion capture module and a shielding detection and data fusion module, vision, pose and force sense data are cooperatively acquired through multiple sensors, and time-space consistency is synchronously kept by adopting hardware. The system has a multi-dimensional occlusion detection mechanism and can dynamically switch data processing strategies according to the occlusion degree: visual data is preferentially adopted when no occlusion exists, multi-sensor information is fused when partial occlusion exists, and force feedback compensation is predicted and introduced based on a dynamic model when complete occlusion exists. Physical feedback and visual perception are creatively combined, the problem of data missing of a traditional single sensor data acquisition system under the shielding condition is solved, more comprehensive and more reliable data support is provided for mechanical arm algorithm training and performance optimization, and the method is particularly suitable for complex operation scenes with shielding.

A control system for an occlusion catheter having a balloon includes a fluid reservoir containing a fluid and a fluid connector connectable to the reservoir and to the catheter to provide fluid communication therebetween. The fluid connector has a pressure sensor integrated therein. A pump is configured to move the fluid between the reservoir and the balloon via the fluid connector. A controller is in electrical communication with the pump and the pressure sensor. The controller is configured to: (i) receive data from the pressure sensor, the data being indicative of a pressure within the balloon, and (ii) in an autonomous mode of operation, control the pump to alter a size of the balloon by driving fluid from the reservoir toward the balloon or withdrawing fluid from the balloon, the control of the pump being based, at least in part, on the data from the pressure sensor.

An acoustic respiratory therapy device comprises a transducer interface comprising at least two acoustic transducers, the transducer interface for positioning the at least two acoustic transducers proximate a neck of a user, and a controller configured to control the at least two acoustic transducers to output acoustic waveforms that constructively interfere with one another at one or more target location(s) within a patient corresponding to at least a partial occlusion of the patient's airway.

The invention discloses a multi-angle template matching method based on gradient topology sparse coding. The multi-angle template matching method comprises the following steps of S1, extracting a gradient topology skeleton of a template image; s2, constructing and coding a skeleton sparse dictionary; s3, coefficient domain rotation mapping construction is carried out; s4, performing multi-angle matching and similarity calculation; and S5, result fusion and optimization. The invention relates to the technical field of computer vision and image processing, and has the beneficial effects that the features based on the gradient topology skeleton are insensitive to illumination variation, gray shift and noise interference can be effectively overcome, and the matching stability in a complex environment is improved. By constructing the coefficient domain rotation mapping relation, physical rotation reconstruction does not need to be carried out on the image, the calculation overhead of multi-angle matching is remarkably reduced, the search efficiency is improved, sparse coding is used for carrying out compact representation on the image structure, and the adaptive capacity to local deformation and partial shielding is enhanced.

Systems and methods and devices are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

This application belongs to the field of vision system calibration technology, specifically relating to a target, a target center localization method, and a target calibration plate calibration method. The target provided in this application includes a circular positioning area and an annular recognition area; the annular recognition area surrounds the circular positioning area, which has a triangular mesh, comprising triangles or sectors symmetrically arranged around its center; the target center point is located at the centrally symmetrical point of the triangles or sectors; an annular coding band is provided inside the annular recognition area, comprising multiple arc-shaped coding strips; these arc-shaped coding strips are centrally symmetrical around the target center point. The target center of this application is the intersection point of the legs of multiple triangles in the triangular mesh. Even if the target is partially occluded, or the target center is occluded, the target center point can still be accurately located by connecting the intersection points of the legs of the unoccluded triangles in the triangular mesh.

Systems and methods are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The system may include sensors to determine the degree of occlusion of the superior vena cava. The occlusion system may be used to reduce volume in a heart and facilitate a cardiac procedure. The occlusion system may be used to relieve an overloaded chamber during and / or after deploying a VAD.

The application discloses a panoramic depth high dynamic range imaging system and method based on compound eye structure, relates to the technical field of computational imaging and image processing, and synchronously collects and multi-scale motion estimation ensures the time sequence consistency between sub-images, effectively reduces the splicing dislocation and ghosting caused by the rapid movement or partial occlusion of an object, and improves the stability of a dynamic scene; an adaptive HDR fusion mechanism based on exposure difference and local features preferentially retains high-contrast unsaturated region details through intelligent weight distribution, overcomes the overexposure and underexposure problems under backlight or light mutation, and makes the output image naturally smooth in the bright-dark transition area; in addition, multi-scale depth synthesis and edge perception filtering work cooperatively, enhances the depth estimation accuracy of a low-texture area, avoids depth jumping and edge blurring, and guarantees the overall definition of the panoramic depth image; meanwhile, rolling shutter correction and space-time interpolation compensation further reduce dynamic ghosting and noise interference.

Systems and methods are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The system may include sensors to determine the degree of occlusion of the superior vena cava. The occlusion system may be used to reduce volume in a heart and facilitate a cardiac procedure. The occlusion system may be used to relieve an overloaded chamber during and / or after deploying a VAD.

The invention discloses a constructional column steel bar position offset prediction method and system based on machine learning, and the method comprises the steps: introducing BIM space prior, so as to make up for the initial detection deviation caused by insufficient image information, and enabling a model to carry out the effective feature extraction and initial recognition under the conditions of complex light and partial shielding; further, relation correction and structure optimization are carried out on the candidate steel bar objects by utilizing a topological graph template, so that the accurate identification capability of the seriously shielded steel bars and the integrity interpretation of the whole steel bar structure are remarkably improved; subsequently, the three-dimensional offset vector of each steel bar is accurately calculated based on the three-dimensional offset vector, so that the detection accuracy and reliability are greatly improved, the construction engineering quality control level is remarkably improved, the structure safety is guaranteed, the rework cost is reduced, and the method has remarkable engineering practice value.

The application discloses a local face age estimation method based on multi-channel learning in a shielding scene and relates to the technical field of age estimation. The application uses a method of simulating shielding, generates partially shielded face images and corresponding shielding labels based on a face age image dataset, trains a shielding detector to detect grids with shielding, proposes an age feature extraction model based on multi-channel learning, divides a to-be-detected image into grids, inputs the to-be-detected image into a feature extraction module, and extracts features of the grids. In combination with the shielding detector result, a feature fusion module is used to fuse features of the grids that are not damaged by shielding, obtain final age features, and further obtain an estimated age value. The application can accurately estimate the face age under a local shielding condition, meets the robustness and accuracy requirements of a face age estimation task in a local shielding scene, and solves the problem that the age estimation is inaccurate due to local shielding in the prior art.

The application provides a multi-image complementary information tracking method with a dynamic activation mechanism, comprising the following steps: tracking a target by using a built network to obtain a tracking result, wherein the built network comprises a Transfomer feature extraction network with a multi-head attention module to calculate a mixed template feature and a scene perception activation module, a multi-view mutual information module, and a head prediction network with an added bounding box prediction branch based on a classification branch and a regression branch.The multi-image complementary information tracking method of the application has better performance under the premise of meeting the real-time running speed in the face of changes in viewing angle, similar object interference, partial occlusion and rapid motion, and can effectively improve the tracking success rate and accuracy.

The invention relates to the technical field of computer vision and target detection, in particular to an object detection method for shielding a small target, and the method proposes a Z-shaped cutting method which can effectively manufacture diversified local shielding situations while retaining background context information, thereby remarkably enhancing the detection robustness of a model to a shielding target. And meanwhile, aiming at a YOLOv11n model architecture, a heterogeneous bottleneck module and a self-adaptive attention convolution fusion module are introduced. According to the method, three-dimensional simulation data generation, image occlusion simulation enhancement and target detection network structure improvement are comprehensively utilized, so that the performance of a detection model under the conditions of complex backgrounds, multi-scale changes and partial occlusion is improved; the problem that the detection precision is remarkably reduced due to the fact that the target size is small or shielding exists in the target detection task is solved.

The present application belongs to the field of visual tracking technology, and discloses a kind of processing existing partial occlusion flexible linear object visual tracking method, based on RGB-D camera obtains color image and depth image data, from first frame image, by mask segmentation, skeletonization processing operation generates initial state point, in each subsequent frame, object point cloud is generated by mask in conjunction with depth image;Then, the density of its surrounding current point cloud is counted, and the state point is marked as "visible" or "occlusion";By establishing the analytical model based on the spatiotemporal continuity of flexible linear object, the closed form solution of the occlusion position is derived, and the iterative optimization process of the occlusion position is eliminated, thereby reducing the computational complexity and achieving efficient real-time tracking;Meanwhile, using the inherent spatiotemporal geometric evolution law of flexible linear object, a position estimation model that can be directly analytically solved is constructed, avoiding the stability risk brought by iterative optimization, and significantly improving the reliability and tracking stability of the occlusion position estimation.

The application discloses a kind of non-contact heart rate detection methods for face has sheltered scene, steps are as follows: input training video, face picture sequence is intercepted by face recognition;Training is based on the three-dimensional residual neural network of block;Extract the block weight based on correlation coefficient;Extract the block frequency domain feature clustering center;Input real video, face picture sequence is intercepted by face recognition;Extract the block depth feature by the three-dimensional residual neural network of block based on the training;Extract the block weight based on clustering;Extract block detection heart rate, the block weight based on correlation coefficient and the block weight based on clustering are weighted summation, obtain final detection heart rate.The application assigns different weights to the heart rate detection results of different facial regions, overcoming the problem of accuracy decline in non-contact heart rate detection method under the scene of partially occluded face.

The invention belongs to the technical field of visual tracking, and discloses a visual tracking method for processing a partially-shielded flexible linear object, which comprises the following steps of: acquiring color image and depth image data based on an RGB-D camera, generating an initial state point from a first frame of image through mask segmentation and skeletonization processing operation, and in each subsequent frame, generating an initial state point from a second frame of image through mask segmentation and skeletonization processing operation; generating an object point cloud by combining the mask with the depth image; then, counting the density of current point clouds around the state point, and marking the state point as visible or shielded; an analytical model based on space-time continuity of a flexible linear object is established, a closed form solution of a shielding position is deduced, and an iterative optimization process of a shielding state point position is eliminated, so that the calculation complexity is reduced, and efficient real-time tracking is realized; and meanwhile, the inherent space-time geometric evolution law of the flexible linear object is utilized to construct a position estimation model which can be directly analyzed and solved, so that the stability risk caused by iterative optimization is avoided, and the reliability and tracking stability of shielding position estimation are remarkably improved.

The embodiment of the invention provides an electronic image stabilization method, which is used for processing visible light video data of an airborne photoelectric hanging bin, and comprises the following steps of: 1, acquiring video sequence basic information; step 2, feature point detection and motion estimation; step 3, performing abnormal processing on the motion model; step 4, motion trail smoothing processing; 5, image stabilization transformation and post-processing are carried out; and step 6, outputting a result. Aiming at visible light video data of an airborne photoelectric pod, various forms of jitter motion can be accurately captured and compensated through multi-scale feature point tracking and intelligent motion estimation. Compared with a traditional method, the method shows higher precision and stability when a complex motion mode is processed. Especially in scenes with slight motion blur, illumination variation or partial shielding, the method can still keep reliable image stabilization performance. The smooth processing of the motion trail enables the finally output video to eliminate uncomfortable jittering and maintain the intentional motion of the camera, thereby conforming to the visual perception characteristics of human beings.

Systems and methods and devices are provided for treating conditions such as heart failure and / or pulmonary hypertension by at least partially occluding flow through the superior vena cava for an interval spanning multiple cardiac cycles. A catheter with an occlusion device is provided along with a controller that actuates a drive mechanism to provide at least partial occlusion of the patient's superior vena cava, which reduces cardiac filling pressures, and induces a favorable shift in the patient's Frank-Starling curve towards healthy heart functionality and improved cardiac performance. The occlusion device may include a lumen obstructed by a relief valve that may permit fluid flow through the occlusion device to release an excessive build-up of pressure.

The invention discloses a mobile robot vision book checking method and system, and the method comprises the steps: obtaining a spine image, recognizing a book name text in the spine image, and obtaining a book name recognition result; determining at least one word to be corrected based on the book name recognition result and a pre-constructed candidate word bank; performing recall operation on the word to be corrected to obtain a candidate set; calculating the comprehensive score of each candidate word in the candidate set; and based on the comprehensive score, selecting the candidate word with the highest comprehensive score to replace the word to be corrected so as to output a corrected book name. After the spine image is obtained and the book name text is recognized, the word to be corrected is determined based on the pre-constructed candidate word bank, and then intelligent correction of the book name recognition result is realized through the processes of candidate word recall, comprehensive score calculation and optimal candidate word selection. Text recognition errors caused by factors such as spine deformation, non-standard fonts and partial shielding in the visual recognition process are effectively overcome, and the accuracy and robustness of book name recognition are remarkably improved.

This invention discloses a computer vision-based fatigue detection system and trajectory analysis method for ICU nurses, relating to the field of medical and health monitoring. It aims to address the problems of subjective inaccuracy, interference with nursing operations, and lack of longitudinal trajectory analysis in existing detection methods. The system includes modules for image acquisition, preprocessing, eye feature extraction, fatigue assessment, data storage, and trajectory analysis. It acquires video streams via a USB camera and adaptive LED fill light, performs preprocessing such as HSV conversion and grayscale enhancement, extracts 12 eye feature points based on MediaPipe, and combines sliding window filtering and posture calibration to compensate for occlusion and posture errors. Three levels of fatigue are determined using EAR and PERCLOS values. The method collects data longitudinally at nine time points, uses an LGMM model to analyze fatigue trajectory heterogeneity, and combines Logistic regression to uncover key influencing factors. This invention features a non-invasive design, high detection accuracy in partially occluded scenarios, precise location of intervention targets, and convenient deployment, providing scientific support for nursing management.

The application discloses an image recognition-based automobile blind area early warning method and system and a storage medium, and relates to the technical field of automobile blind area recognition based on internet security. The image recognition-based automobile blind area early warning method comprises the following steps: data acquisition, complete occlusion evaluation, partial occlusion detection and partial occlusion evaluation. The application obtains image data by performing image preprocessing on a blind area image, performs complete occlusion judgment on the image data and reference data interval, and takes a first-level early warning measure; a partial occlusion influence coefficient is obtained according to the image data and reference image data, and whether to perform partial occlusion evaluation is judged according to the partial occlusion influence coefficient and a partial occlusion threshold value; all partial occlusion influence coefficients in a preset time period are obtained to obtain a partial occlusion similarity coefficient, and whether to take a second-level early warning measure is judged according to the partial occlusion similarity coefficient and a similarity threshold value, so that the effect of improving the accuracy of the image-based automobile blind area early warning is achieved, and the problem of insufficient image analysis in the automobile blind area early warning in the prior art is solved.

This invention relates to the field of fatigue driving detection technology and discloses a driver fatigue driving detection method based on two-stage detection and eye feature analysis. The method includes: acquiring a real-time video stream containing the driver's face; performing face and key point detection, accurately locating the face bounding box and extracting three-dimensional face key points; performing posture-adaptive eye feature analysis, calculating and comparing the aspect ratio of both eyes to determine the direction of face deflection and selecting the eye with the clearest features as the optimal analysis object for single-eye image cropping; inputting the cropped single-eye image into an image classification model to determine the eye opening and closing state; and finally, cumulatively calculating fatigue metrics such as the percentage of eyelid closure and blinking frequency per unit time, comparing them with preset thresholds to determine the fatigue state and output a warning. This invention overcomes interference caused by driver head deflection or partial occlusion by adaptively selecting the optimal single-eye analysis, improving the robustness and accuracy of fatigue detection in complex real-world driving scenarios.

An occlusion catheter system is provided for at least partial occlusion of a vessel. The occlusion catheter system includes a proximal hub having an inflation connection port and an inflation pathway. An inflation catheter member is fluidly connected to the proximal hub. An occlusion balloon has a proximal balloon end and a distal balloon end, the proximal balloon end being fluidly connected to the inflation catheter member. A distal catheter member is connected to the distal balloon end and includes an atraumatic tip on a distal end thereof, the atraumatic tip having a substantially circular profile in one configuration. The occlusion balloon, the inflation catheter member and the distal catheter member have a greatest outer diameter of less than 7 Fr in an uninflated condition.

This application relates to the field of robotics technology and discloses a robot visual target detection method and system, including acquiring visual image information of the target to be detected; identifying multiple edge segments that are broken due to occlusion from the visual image information; logically connecting the edge segments located on the same straight line to construct the reconstructed edge of the target to be detected; acquiring preset geometric specification information that matches the category of the target to be detected, and determining a reference benchmark that meets preset stability conditions in the reconstructed edge; performing geometric extrapolation based on the reference benchmark and the preset geometric specification information to complete the missing contour features of the target to be detected in the occluded area; determining the working pose information of the target to be detected based on the complete contour features of the target to be detected after completion, and restoring the complete contour of the target when the target is partially occluded and the visual information is incomplete, accurately determining its working pose, and improving the accuracy and robustness of target detection in complex occlusion scenarios.

An inflation control system is provided for use with an occlusion catheter having an inflatable occlusion member for at least partial occlusion of a patient vessel. The inflation control system includes a fluid source in fluid communication with the inflatable occlusion member, a pressure source coupled to the fluid source and configured to move fluid between the fluid source and the inflatable occlusion member, and a controller operably coupled to the pressure source. The controller is configured to receive at least one patient vital sign as feedback and operate the pressure source to modulate an inflation volume of the occlusion member based, at least in part, on the feedback.

This invention discloses a robot barcode scanning method, apparatus, device, and medium. It relates to the field of automatic barcode scanning technology. The method includes: determining the real-time detection success probability of each candidate barcode scanning trajectory in a trajectory library based on the robot's current state information; the real-time detection success probability characterizes the likelihood that executing the candidate barcode scanning trajectory in the current state will successfully identify the barcode; determining the confidence-weighted success rate of each candidate barcode scanning trajectory based on the prior success probability of each candidate barcode scanning trajectory and the real-time detection success probability; selecting the optimal trajectory from the candidate barcode scanning trajectories based on the confidence-weighted success rate and the execution cost of each candidate barcode scanning trajectory; and controlling the robot to scan according to the optimal trajectory. This invention can overcome the problem of barcode scanning failure under non-ideal conditions such as posture deviation, lighting changes, or partial occlusion with a single fixed trajectory, thereby improving the barcode scanning success rate and operational efficiency.

A system includes a computing device comprising a memory and one or more processors. The computing device is configured to access a first image of a patient's dentition, the first image comprising a representation of one or more first teeth and a first representation of one or more second teeth that are at least partially occluded by the one or more first teeth; process the first image to generate a second image of the patient's dentition, the second image comprising a second representation of the one or more second teeth that includes new contours of at least one region of the one or more second teeth that is occluded in the first image; perform one or more oral diagnostics measurements of the patient's dentition using the new contours; and output a result of the one or more oral diagnostics measurements.

The invention provides a digital sturgeon construction method and device based on three-dimensional rendering, and the method comprises the steps: carrying out the preprocessing of a sturgeon image in a recorded sturgeon video, and obtaining a sturgeon binary mask, geometric corresponding features and a multi-scale optical flow field; through a trained preset sturgeon attitude estimation network, performing regression processing of a three-dimensional attitude based on the sturgeon image to obtain an initial sturgeon attitude; modeling the shape and appearance of the sturgeon in a preset standard space through a neural radiation field technology to obtain an initial sturgeon model; aligning the sturgeon initial model with each frame of sturgeon image through a neural hybrid skin model according to the sturgeon binary mask to obtain an alignment mapping relation; generating a digital sturgeon model according to the initial sturgeon posture, the alignment mapping relation, the geometric corresponding characteristics and the multi-scale optical flow field through a staged optimization strategy; the model is still kept stable in illumination variation, partial shielding and rapid swimming scenes; and lossless three-dimensional reconstruction of the body type, the posture and the motion of the underwater sturgeon is realized.

The invention provides a sight line estimation method based on color difference guided eye feature enhancement, and the method comprises the steps: carrying out the image preprocessing of a face image, and obtaining a preprocessed image; performing region detection on the preprocessed image to obtain an eye image; extracting multi-layer features of the face image and the eye image; convolution similarity among the multiple layers of features is obtained through convolution operation; performing pupil region identification on the eye image through chromatic aberration calculation to obtain a pupil significant mask; performing color difference on the multi-layer features through a pupil significant mask, and performing cross-modal integration on the multi-layer features and convolution similarity to obtain fusion features; and carrying out regression training and loss optimization on the fusion features to obtain a sight line direction vector. According to the method, a local feature enhancement and chromatic aberration guide mechanism is introduced into the deep neural network, so that stable capture of eye and pupil features under the conditions of complex illumination, posture change and partial shielding is realized, and the sight estimation precision is improved.