21 results about "Visual tracking system" patented technology

The invention relates to the technical field of medical surgical navigation, and discloses an intraoperative instrument position real-time visual tracking system which comprises a preoperative three-dimensional reconstruction unit, an intraoperative positioning unit, a coordinate matching unit, an error compensation unit and a visual display unit which are in bidirectional communication through a data bus. According to the intraoperative instrument position real-time visual tracking system and method, the problem of electromagnetic interference is solved through a magnetoelectric fusion positioning engine and a dynamic magnetic field calibration module, and the magnetoelectric fusion positioning engine receives a gradient magnetic field signal generated by an electromagnet array and an electric field signal of a body surface reference electrode; the dynamic magnetic field calibration module is combined with the frequency division multiplexing technology to separate double-frequency signals, then space-time registration is carried out through the magnetoelectric conversion matrix, alignment of a magnetic sensor and a magnetic beacon coordinate system is not needed, magnetic field distortion caused by a metal instrument can be counteracted, angle calculation errors can be reduced through bimodal signal complementation even if the posture of the instrument changes, and the precision of the instrument is improved. And positioning accuracy is improved.

This application provides a visual tracking method and computing device, relating to the field of computer technology, and applied to a visual tracking system. The visual tracking system includes a camera and a display screen. The method includes: determining a first plane and a second plane based on images captured by the camera, wherein the first plane is a plane corresponding to a background image in the image, and the second plane is a plane corresponding to a face in the image; determining the homography matrix of the face in the second plane relative to the first plane based on a first image and a second image captured by the camera in chronological order; determining a rotation matrix and a translation vector of the face based on the homography matrix; and determining the physical coordinates of the user's gaze on the display screen based on the rotation matrix and the translation vector. The technical solution provided by this application can solve the technical problems of insufficient tracking accuracy and poor stability in related technologies based on monocular cameras.

A method of providing anonymized data for facilitating reidentification in a visual tracking system, the method comprising: detecting, in images obtained from a plurality of image sources, subareas which each contain a tracking target; computing, for each subarea, a feature vector which represents a visual appearance of the tracking target therein; for a first / second subgroup of the image sources, providing first / second reidentification data items by anonymizing each feature vector using a predefined one-way function modified by a first / second tracking-rights token, and disclosing the first / second reidentification data items annotated with locations of the respective subareas to a first / second tracking client, wherein the second tracking-rights token is distinct from the first tracking-rights token; and preventing access to the feature vectors.

The present invention belongs to the field of automatic measurement and marking of complex castings. It discloses a high-precision calibration and online optimization method for dual robots. Based on hand-eye calibration and four-point calibration, the casting-measurement-marking system components are calibrated separately when the system is deployed to obtain high-precision initial values ​​of system parameters. Calibration data is collected online during the measurement-analysis-marking process based on a visual tracking system to achieve online optimization of multi-robot system parameters. The optimized robot paths are fed back to a data control center to ensure high-precision and stable operation of the robot marking.

This invention relates to direct scale level selection for multi-level feature tracking. A method for mitigating motion blur in a visual-inertial tracking system is described. In one aspect, the method includes: accessing a first image generated by an optical sensor of the visual tracking system; accessing a second image generated by the optical sensor of the visual tracking system, the second image following the first image; determining a first motion blur level of the first image; determining a second motion blur level of the second image; identifying a scale change between the first and second images; determining a first optimal scale level for the first image based on the first motion blur level and the scale change; and determining a second optimal scale level for the second image based on the second motion blur level and the scale change.

The invention relates to the technical field of automobile part manufacturing, in particular to a trailing arm stamping and welding process, which comprises the following steps of: uncoiling by using a servo drive uncoiling machine matched with a four-roller precision leveling machine, leveling a coiled material for multiple times, and blanking by using a numerical control plate shearing machine to obtain a plate blank; drawing the left / right trailing arm blank into the basic shape of the trailing arm on a drawing die, and trimming and punching by using a high-precision punching machine and a hydraulic machine; then, a vertical flanging die and a floating type side shaping die are used for flanging and side shaping, and the workpiece is rolled into a closed pipe shape; then, double-wire welding is adopted on a special clamp to conduct high-speed welding on a welding seam of the workpiece; 3D laser cutting equipment is used, a visual tracking system is arranged, the variable cross-section pipe is precisely cut, the size precision and the shape precision of the left trailing arm and the right trailing arm are effectively guaranteed, and the problems that in the prior art, precision control is difficult, efficiency and cost are contradictory, and process compatibility is poor are solved.

The invention belongs to the technical field of vehicle control, and particularly relates to a four-quadrant identification dynamic visual tracking system based on feature tracking. Comprising an image data acquisition module, a four-quadrant target detection module, an optical flow tracking module, a trajectory prediction module and a steady-state target management module. The image data acquisition module is responsible for acquiring video stream data containing the surrounding environment of the four-quadrant mark and transmitting the data to the four-quadrant mark detection module frame by frame; the four-quadrant identifier detection module is responsible for performing real-time processing on an input source image and converting the input source image into an ROT region matched with a four-quadrant identifier in the source image; the optical flow tracking module is used for converting a source image transmitted by the image data acquisition module into a grayscale image to realize inter-frame tracking of four-quadrant identification feature points; the steady-state target management module is used for judging how to recover and predict a lost target position after tracking loss; and the track prediction module predicts the position of the next frame of source image through the motion model. Compared with the prior art, the technical scheme has the advantages that the tracking robustness is enhanced, the stability recovery speed is high, and the scene adaptability is high.

The invention belongs to the technical field of target visual tracking, and particularly relates to a high-performance weak and small target visual tracking system for an open complex environment, and the system comprises a heavy rotary table which is used for providing stable mechanical support for high-precision equipment in the system; the orientation and pitching control and driving module is used for driving the heavy rotary table and ensuring stable rotation, so that horizontal and pitching operation of the heavy rotary table is realized; the visible light imaging device is used for providing target identification and tracking with high resolution and rich details; the infrared thermal imaging device is used for providing target detection and tracking in an all-weather and low-visibility environment; and the information processor is used for performing data interaction with the outside. According to the invention, all-weather, full-coverage, high-precision and high-robustness multi-dimensional detection and tracking tasks can be carried out in a specific complex environment area, and the method has a good market application prospect.

A visual tracking system for tracking and identifying persons within a monitored location, comprising a plurality of cameras and a visual processing unit, each camera produces a sequence of video frames depicting one or more of the persons, the visual processing unit is adapted to maintain a coherent track identity for each person across the plurality of cameras using a combination of motion data and visual featurization data, and further determine demographic data and sentiment data using the visual featurization data, the visual tracking system further having a recommendation module adapted to identify a customer need for each person using the sentiment data of the person in addition to context data, and generate an action recommendation for addressing the customer need, the visual tracking system is operably connected to a customer-oriented device configured to perform a customer-oriented action in accordance with the action recommendation.

The application discloses a visual tracking system based on a modularized holder, relates to the technical field of visual dynamic tracking, and comprises the following: a modularized holder, which is used for erecting a visual collection module; the visual collection module, which is used for acquiring image data in real time; a data processing module, which is used for processing the obtained image data and determining an image key frame according to a processing result; a visual analysis module, which is used for determining a target feature to be tracked in the image key frame; and a visual tracking module, which is used for generating a cooperative intelligent control strategy according to the moving track of the target feature; through feature priority division and dynamic key frame demarcation range adjustment, full-range demarcation is adopted to focus on a core target when there is a high-priority feature, and a default range is adopted when there is no highest-priority feature, so that redundant data processing is effectively reduced, the computing power is inclined to high-value core features, and the accuracy and real-time performance of tracking are improved.

The utility model provides a drainage balance system which comprises an outer drainage device, a drainage support, a dropping bottle support, a dropping bottle, a drainage pipeline and a liquid drainage pipeline, the dropping bottle support is installed on the drainage support, and the drainage pipeline and the liquid drainage pipeline are both connected with the dropping bottle; the drainage monitoring unit comprises a plurality of preset sensors, and the preset sensors are used for monitoring the state of drainage liquid in the drainage pipeline and the state of drainage liquid at an outlet respectively; the visual tracking system is used for shooting an image of a region of interest on the target object and obtaining position information of a mark point on the region of interest according to the image of the region of interest; the drainage adjusting device is connected with the outer drainage device, and the outer drainage device can move and swing up and down relative to the drainage adjusting device. Accurate and comprehensive monitoring of the drainage process can be realized.

A method for adjusting camera intrinsic parameters of a multi-camera visual tracking device is described. In one aspect, a method for calibrating the multi-camera visual tracking system includes disabling a first camera of the multi-camera visual tracking system while a second camera of the multi-camera visual tracking system is enabled, detecting a first set of features in a first image generated by the first camera after detecting that the temperature of the first camera is within the threshold of the factory calibration temperature of the first camera, and accessing and correcting intrinsic parameters of the second camera based on the projection of the first set of features in the second image and a second set of features in the second image.

A visual tracking system for tracking and identifying persons within a monitored location, comprising a plurality of cameras and a visual processing unit, each camera produces a sequence of video frames depicting one or more of the persons, the visual processing unit is adapted to maintain a coherent track identity for each person across the plurality of cameras using a combination of motion data and visual featurization data, and further determine demographic data and sentiment data using the visual featurization data, the visual tracking system further having a recommendation module adapted to identify a customer need for each person using the sentiment data of the person in addition to context data, and generate an action recommendation for addressing the customer need, the visual tracking system is operably connected to a customer-oriented device configured to perform a customer-oriented action in accordance with the action recommendation.

This invention discloses an adjustable fundus fixation training visual tracking system suitable for different patients, belonging to the field of medical device technology. The system includes: a patient parameter acquisition module, an adaptive control center, a multimodal stimulus presentation module, an eye-tracking and quantitative assessment module, and an immersive interactive feedback module. This invention aims to solve the problems of fixed training parameters, lack of personalized adaptation, and inability to provide real-time quantitative feedback. By acquiring the patient's interpupillary distance, visual acuity, and tolerance parameters and mapping them to personalized training control parameters, it dynamically generates and adjusts visual stimuli. Simultaneously, it tracks and quantifies eye-tracking performance in real time, transforming the quantification results into multisensory interactive feedback. This achieves adaptive matching between training difficulty and patient ability, improving the personalization, accuracy, and patient compliance of the training.

A visual tracking system helps to detect or locate an active object (such as an active sound source) in a live video or recorded video, and provides a way to help a user who views the live video or recorded video to focus on the active object, without easily being disturbed or distracted by other objects that are present with the active object. The visual tracking system may further track the active object, or detect a new active object when the live video or recorded video is played.

Methods for mitigating motion blur in a visual inertial tracking system are described. In an aspect, the method includes accessing a first image generated by an optical sensor of a visual tracking system, accessing a second image generated by the optical sensor of the visual tracking system, the second image being subsequent to the first image, determining a first motion blur level of the first image, determining a second motion blur level of the second image, identifying a scale change between the first image and the second image, determining a first optimal scale level for the first image based on the first motion blur level and the scale change, and determining a second optimal scale level for the second image based on the second motion blur level and the scale change.

The application discloses a multi-agent cooperative control system based on a multi-modal brain-computer interface-visual tracking, which comprises the following modules: a signal acquisition and processing module, which adopts an 8-lead electroencephalogram cap to collect electroencephalogram original data, selects a part of an occipital region (PO7, PO8, P3, P4, Pz, O1, O2 and Oz) as an electroencephalogram data acquisition area, and collects EEG data; a feature extraction and classification module, which uses a space-time convolution network to extract SSVEP signal features, combines an integrated learning strategy to optimize classification accuracy, extracts EOG signals based on a Transformer model, integrates an LMS adaptive filter to combine a wavelet transform to denoise EEG signals, expands the frequency tracking range of the adaptive filter, and minimizes signal loss; a cooperative control strategy design module, which maps electroencephalogram signals into control instructions of different agents, and realizes cooperative control of unmanned aerial vehicles and trolleys; and a target detection and tracking module, which optimizes an unmanned aerial vehicle visual tracking system based on a PP-YOLOE model, and realizes accurate tracking and automatic adjustment of the trolley.

The invention relates to the technical field of automobile parts, in particular to a manufacturing process of a cross beam of a torsion beam assembly. The method comprises the steps that a servo drive uncoiler is adopted to process coil stock, multiple times of reciprocating leveling are conducted through a four-roller precision leveling machine, a numerical control plate shearing machine is adopted, and blanking is conducted according to the optimal drawing plate size; a drawing die with special surface treatment is adopted; trimming and punching by using a high-precision punching machine and a hydraulic machine; a flanging die is adopted for flanging operation; a floating type side shaping die is adopted for side shaping to gradually form a closed pipe shape; double-wire welding is adopted for welding; a 3D laser cutting machine is used, a visual tracking system is arranged, and the variable cross-section pipe is accurately cut, so that the size precision and the shape precision of the cross beam are effectively guaranteed, and the welding precision and the consistency of the whole torsion beam assembly are greatly improved.

This invention discloses an intelligent tooth preparation system, belonging to the field of medical device technology. It utilizes a visual tracking system to monitor the position of a marker in real time, thereby completing hand-eye calibration of the robotic arm, drill tip calibration, and intraoral registration. During tooth preparation, the position of the intraoral marker is monitored in real time. Based on the positional changes of the intraoral marker and its relative positional relationship with the target tooth, the real-time position of the target tooth is obtained. The motion scheme of the robotic arm's end effector is adjusted according to the real-time positional changes of the target tooth. Compared with existing technologies, this application can reduce the manual dependence of tooth preparation, achieving precise, efficient, minimally invasive, and safe tooth preparation through automation and intelligence, thus ensuring the quality of tooth preparation.

A method for adjusting camera intrinsic parameters of a multi-camera visual tracking device is described. In one aspect, a method for calibrating the multi-camera visual tracking system includes disabling a first camera of the multi-camera visual tracking system while a second camera of the multi-camera visual tracking system is enabled, detecting a first set of features in a first image generated by the first camera after detecting that the temperature of the first camera is within the threshold of the factory calibration temperature of the first camera, and accessing and correcting intrinsic parameters of the second camera based on the projection of the first set of features in the second image and a second set of features in the second image.

The invention discloses an intelligent robot based on electrical control. The intelligent robot comprises an intelligent control system, a mouth structure, an eye structure, a nose structure, an ear structure, a hand structure, a leg structure and a visual tracking system. The mouth structure comprises a jaw structure, a lip structure and a tongue structure; the mouth structure comprises an eye shell, an eyebrow structure, an eyelid structure and eyeballs, the mouth structure, the eye structure, the nose structure, the ear structure, the hand structure and the leg structure are intelligently controlled through the intelligent control system, the mouth structure, the eye structure, the hand structure and the leg structure of the robot can be flexibly operated, and the robot has anthropomorphic expressions.