38 results about "Image tracing" patented technology

Disclosed are approaches that may provide image-guidance to interventionalists by providing true 3D visualization and quantitative feedback in real-time. A guidance system may allow a physician to manipulate a medical device and see a 3D rendering with quantitative feedback floating in mixed reality, next to standard monitors. Image tracking may detect and co-register the medical device's 3D position using, for example, bi-plane C-arm X-ray fluoroscopy and provide a 3D trajectory as quantitative feedback. Patterns in a fluoroscopic image may be used to accurately determine an object's z-position from a single angle projection.

Aspects of this technical solution can include identifying, by a processor coupled to non-transitory memory, a plurality of bounding boxes for one or more objects depicted in each image of a sequence of images captured during operation of an autonomous vehicle, allocating, by the processor and based on corresponding positions of the bounding boxes in each image and corresponding time stamps, one or more of the bounding boxes to one or more tracking identifiers each indicating trajectories of corresponding objects, generating, by the processor and based on the time stamps and the bounding boxes allocated to each of the tracking identifiers, one or more tracking images for each of the tracking identifiers, each of the tracking images including visual indications of the time stamps, and training, by the processor and based on the tracking images, an artificial intelligence model to output an indication of a type of trajectory.

The images shown in the diagram are interactive graphical user interfaces (GUIs) that visually communicate to the user information related to (i) unit operations in manufacturing processes such as cell and gene therapy manufacturing processes and the creation and / or modification and / or analysis of data generated therefrom, (ii) combinations of live data and textual information from databases, and (iii) interactive data analysis (e.g., patient data visualization systems) and systems for analyzing data related to manufacturing processes. For example, in one embodiment, the images shown in the diagram provide the user with multiple levels of detail about the experiment and manufacturing process, and such details can be visually presented to the user in various forms including specific combinations of charts and / or dynamic elements, which can be manipulated by the user in an interactive manner. (C. Data Display and Interactive Images) (Cell Data Images) In one embodiment, the data display image includes cell data images that track changes in various metrics (e.g., performance metrics) for multiple cell lines over the course of the manufacturing and / or experimental process. The cell data images can be presented as an organized dashboard, as shown in the diagram. In one embodiment, an interactive dashboard for viewing cell data displays data for one or more lots. In another embodiment, data for multiple lots may be displayed and presented visually to the user. In yet another embodiment, a specific lot may be automatically viewed.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting and tracking edges in raster images using an advanced edge detection algorithm. For example, the disclosed systems generate a local histogram ranking of pixels within a sliding pixel window in a raster image, based on pixel values ​​located within the sliding pixel window. In some embodiments, the disclosed systems determine an edge thickness for an edge depicted in a region of the raster image enclosed by the sliding pixel window by comparing pixel ranks specified by the local histogram ranking of the pixels.In certain embodiments, the disclosed systems also provide the edge for display based on determining the edge thickness for the area of ​​the raster image enclosed by the sliding pixel window.

The present disclosure provides a method and apparatus for determining a pose of a tracked object in an image tracking process. In this method, a current frame of image and first point cloud information corresponding to the current frame of image are acquired, the first point cloud information being based on a relative relationship between an image capture device and an ambient space: and a pose of the tracked object in the current frame of image relative to the image capture device is determined according to the first point cloud information and object feature information of the tracked object if the tracked object is in a static state, the object feature information being based on a relative relationship between the tracked object and the ambient space. In this method, by using the first point cloud information to convert the relative relationship of the tracked object, it facilitates determining the pose of the tracked object.

The invention relates to the technical field of space debris orbit forecasting, in particular to a space debris orbit forecasting correction method based on machine learning and triangular characteristic decomposition. The azimuth angle and the pitch angle are converted into six-dimensional feature vectors through triangular feature decomposition, and a real-time mapping model of orbit forecast deviation is established in combination with a neural network. The two bottleneck problems on which traditional image tracking depends are solved: 1) in a strong laser interference scene, tracking failure caused by background light saturation of an optical camera is avoided, and real-time image feedback is replaced by deviation prediction driven by historical echo data; 2) when space debris in an earth shadow area is invisible, constructing a training set by using deviation data captured at the moment of successful laser ranging, and realizing autonomous correction of forecast errors under a non-illumination condition; the method gets rid of dependence on space debris optical visibility, realizes all-day and all-arc telescope pointing deviation correction, and improves the reliability and continuity of space debris orbit prediction under complex working conditions.

This application discloses an image tracking processing method and apparatus. The method includes: obtaining feature points and attributes of each frame image in a real-time video; performing a geometric transformation on a reference frame image according to preset transformation conditions to obtain a relation table; determining a lookup index for at least one point pair based on the attribute differences between the first and second feature points of multiple point pairs; determining an evaluation value for each lookup index based on the template image corresponding to each lookup index in the relation table; obtaining the target rotation angle and target scaling scale based on the evaluation value of each lookup index; and determining the target transformation matrix based on the target rotation angle and target scaling scale. This method can establish a relation table by performing a geometric transformation on the reference frame image, quickly calculate the evaluation values ​​of multiple lookup indices through the relation table, and use multiple evaluation values ​​to quickly find the target rotation angle and target scaling scale, effectively improving the processing efficiency of image tracking.

Provided is a tracking device comprising: a division processing unit that, for each frame image of a frame image group including a plurality of frame images, on the basis of a tracking result obtained in any other frame image followed by or following the frame image, combines a result of tracking an object in an inference image selected from among a plurality of divided images obtained by dividing the frame image with a result of tracking an object in a downsampled image other than the inference image among the plurality of divided images; an overall processing unit that, for each of the frame images, tracks an object in a reduced image obtained by reducing the frame image; and a synthesis unit that, for each of the frame images, outputs, as a tracking result of the frame image, overlapping tracking results among tracking results obtained by synthesizing a tracking result from the division processing unit and a tracking result from the overall processing unit with an excessive tracking result removed.

The invention is suitable for the technical field of image processing, and provides a snapshot method, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining at least one tracking object; wherein the tracking object is an object tracked according to a shot image of a first camera on the mobile equipment; predicting first snapshot quality of each tracking object in a first future time period; determining a snapshot object from the at least one tracking object according to the first snapshot quality of each tracking object; planning a target snapshot moment for the snapshot object according to the moving speed of the mobile device; controlling a second camera on the mobile device to perform snapshot according to the target snapshot time; wherein the frame rate of the second camera is lower than that of the first camera. By means of the method, the best opportunity of snapshot can be determined, and therefore the snapshot effect is effectively improved.

The present application belongs to the technical field of X-ray detection, and specifically relates to an image tracking navigation method for an X-ray machine, which can calculate the range of the translation amount according to the geometric information of the tilt angle of the detector and the rotation angle of the circuit board, and then the desired window position. Through precise geometric calculation and image processing algorithm, the present application effectively solves the problem of missing detected points caused by the tilt of the detector or the rotation of the object table during the X-ray detection process. This method can dynamically adjust the detection parameters to ensure that the region of interest always remains within the detection field of view, thereby significantly improving the accuracy and reliability of PCB detection. Especially for small components such as high-density integrated BGA solder joints, this method avoids the detection blind area caused by background interference or changes in viewing angle, making defect identification more accurate and efficient.

A method for generating a 3D image includes driving a structured light projector to project a light pattern on an intraoral 3D surface and driving a camera to capture images, each image including at least a portion of the projected pattern, each camera including an array of pixels. A processor compares a series of images captured by each camera and determines which portions of the projected pattern can be tracked across the images. The processor constructs a three-dimensional model of the intraoral three-dimensional surface based at least in part on the comparison of the series of images. Other embodiments are also described.

A system can include an imaging device, and a computing device in communication with the imaging device. The computing device can be configured to receive, from the imaging device, a plurality of images of an organ of a subject, each image of the plurality of images being acquired by light reflected off the organ, isolate the organ in each image of the plurality of images to generate a plurality of organ images, generate a plurality of markers overlaid on each organ image of the plurality of organ images, track a position of each marker of the plurality of markers across the plurality of organ images, determine an organ function of the organ, based on the tracking of the plurality of markers, and provide an action for the organ, based on the organ function.

Disclosed is a visual tracking method of robot, wherein an execution body of the visual tracking method of the robot is a robot fixedly equipped with a camera and an inertial sensor; the visual tracking method of the robot includes: the robot performing image tracking using a window-based matching mode, and when the robot succeeds in performing tracking using the window-based matching mode, the robot stopping performing image tracking using the window-based matching mode, and then the robot performing image tracking using a projection-based matching model; and then, when the robot fails to perform tracking using the projection-based matching mode, the robot stopping performing image tracking using the projection-based matching mode, and then the robot performing image tracking using the window-based matching mode.

To provide an endoscope system, a control method and a recording medium, capable of quickly providing an image of excellent image quality in follow-up processing for making the image follow up a prescribed region of interest.SOLUTION: The endoscope system includes an endoscope that acquires a captured image, a drive mechanism that moves a field of view of the endoscope, and a processor that controls the drive mechanism. The processor detects and observes a predetermined region of interest in the captured image, selects a part of the captured image as a display range to generate an S2 image to be displayed on the display apparatus from the display range, starts the digital follow-up processing S4, and then starts the physical follow-up processing S5, thereby causing the S3 image to follow the predetermined region of interest. The digital following processing is processing of causing the first target region in the display range to follow the region of interest by changing the position of the display range in the captured image, and the physical following processing is processing of causing the second target region in the captured image to follow the predetermined region of interest by moving the field of view of the endoscope.SELECTED DRAWING: Figure 5A

The application discloses a tracking method and system based on minimum entropy criterion updating, electronic equipment and medium, and relates to the field of target tracking. The method comprises the following steps: acquiring a video image to be tracked; determining the position of a tracking target in an initial frame; determining a target feature vector of a frame image tracking sequence; determining the position of the tracking target; determining a feature vector of a t-th frame image; determining a prediction box and a corresponding prediction score of a plurality of tracking targets of the t-th frame image; determining a template to be updated; when the t-th frame image is the last frame image of the frame image tracking sequence, acquiring a (t+1)-th frame image of the frame image tracking sequence, and taking the (t+1)-th frame image as the t-th frame image; and obtaining a tracking result when the t-th frame image is the last frame image of the frame image tracking sequence. The application can improve the effect of target tracking when tracking encounters occlusion and illumination change.

The invention provides an image processing method and device, a storage medium and self-moving equipment, and relates to the field of mobile positioning. According to the image processing method, an image tracking method and an image feature point algorithm are fused, so that the tracking continuity and stability are improved, the environment perception capability is enhanced, and the walking control precision of the self-moving equipment is effectively improved.

The application discloses a kind of mobile vortex structure automatic tracking circulation calculation method, the present application relates to vortex structure circulation meter technical field, present and propose the following scheme, including following partial process: define two coordinate matrices to unify global position information, i.e. the physical position of each point that is discrete to two-dimensional matrix space, i.e. X and Y matrix of n rows m columns.The application compared with the cumbersome process of artificial determination target vortex structure position and boundary then carry out circulation calculation, reduce to minimum degree with artificial intervention;And using the automatic tracking identification method based on the vortex core area vortex distribution characteristics design, discard the needs of complex edge detection algorithm, image feature extraction and image tracking algorithm, instead, it focuses on the vortex core area vortex distribution, as key features, to greatly simplify the calculation process, simultaneously no longer rely on cumbersome image processing and tracking technology, thus greatly reduce the demand for computing resources.

The invention relates to a time synchronization method and application thereof in a high-speed image tracking system. The method comprises the following steps: firstly, recording a starting time point Tmi and a corresponding position Pi of a position sensor synchronizing signal in the high-speed image tracking system in each period, and meanwhile, recording a starting time point Tki and a corresponding image Oi of an image sensor synchronizing signal in each period; calculating the difference value ti between the starting time point Tmi of each period of the synchronizing signal of the position sensor and the starting time point Tki of each period of the synchronizing signal of the image sensor, and finally calculating the position information of the position sensor at the time of the image sensor Tki by using the difference value ti as the compensated position pi. The problem that data such as output images and distances are not matched with positions due to time desynchrony of a position sensor and each modal sensor can be solved, the purpose of high-precision time synchronization is achieved, the method has the advantages of being simple, wide in adaptability, high in operability and the like, and the time synchronization requirement of a high-speed image tracking system can be met.

The invention relates to the technical field of image recognition, and discloses a method and a system for distinguishing vehicle comburent in a tunnel based on image tracing, and the method comprises the steps: S1, obtaining and storing the image information of a vehicle in the tunnel; s2, determining first image information of the vehicle which burns in real time; s3, reversely tracing to obtain second image information which corresponds to the current combustion vehicle and is not on fire after the current combustion vehicle enters the tunnel; and S4, the first image information and the second image information are compared, vehicle comburent information is obtained, and a fire extinguishing suggestion is given according to the comburent information. The method has the beneficial effects that the state of the vehicle before combustion is obtained through image tracing, the state of the vehicle during combustion is obtained through image recognition, and the corresponding first image information and second image information are compared to deduce and obtain the type of the combustion substance, so that the fire source cause and the combustion substance information are recognized; and reasonable and targeted suggestions are provided for fire extinguishing work.

Object re-identification technology is used to track images, in which an object re-identification apparatus, an object re-identification method, and a model learning method can improve object re-identification performance through the use of a model trained based on spatially and temporally refined features. The object re-identification method includes extracting a first feature from an input video frame, and extracting a second feature by segmenting the first feature based on an expert module within multiple expert layers in a sequential relationship, where the expert module is a single expert module activated among multiple expert modules of a single expert layer.

The application discloses a road target detection method and system fusing multi-source perception and attention enhancement, and relates to the technical field of computer vision.The detection method of the application comprises the following steps: acquiring a historical high-definition video stream, determining a passable area in a bird's-eye view space based on a motor vehicle trajectory sequence, generating a space weight graph, and generating a static risk weight graph based on the kinematic characteristics of the trajectory sequence; performing image enhancement on a real-time image frame to obtain an enhanced image; tracking a real-time short-time trajectory in the real-time high-definition image frame, calculating a shape deviation degree of the real-time short-time trajectory and a historical prototype trajectory set; generating a dynamic risk weight graph; fusing the space weight graph, the static risk weight graph and the dynamic risk weight graph to construct a unified attention guide graph; and performing multi-modal small target detection based on the enhanced image subjected to attention enhancement and real-time three-dimensional laser point cloud data.

An information processing apparatus includes: an acquisition unit that acquires an image; a tracking unit that tracks a person included in the image; and a registration updating unit that registers or updates feature information on a person who has been tracked by the tracking unit, and determines whether or not to register or update the feature information on the person, based on the image including the person.

Systems and methods for panoramic imaging in 2D and 3D ultrasound imaging are disclosed. The techniques disclosed herein use image registration to combine the 2D images into a 3D volume. Ultrasound images collected in different locations are combined using image tracking. When the transducer moves along a lateral direction (in line with a longitudinal axis of the transducer), a portion of the image is overlapped between frames and the overlapping frames can be patched. When the transducer moves along an elevational direction (non-parallel to the longitudinal axis of the transducer), there is no overlap between frames and the non-overlapping frames are not patched together but are stored side-by-side to create a volume. The storage and patching processes can be adaptive (e.g., the images are not stored or patched if there is minimal difference between neighboring frames).

The invention is suitable for the technical field of power grids, and provides a cable accessory installation process imagination tracing method, device and equipment, image recording is carried out on a plurality of processes of cable accessory installation through image acquisition equipment to obtain image data, the image data is associated with corresponding installation process information to generate an associated data packet, and the associated data packet is stored in a database; the method comprises the following steps: receiving an associated data packet, then performing risk assessment according to the associated data packet to obtain a first risk score, if the first risk score is lower than a preset threshold, storing the associated data packet in a database, and when a tracing instruction is received, retrieving from the database according to the tracing instruction and outputting corresponding image data. According to the embodiment of the invention, the whole installation process is recorded in an imaging manner, the image data is closely associated with the process information, a visual digital evidence chain is constructed, and risk assessment and closed-loop management can be carried out according to the associated data, so that the accurate management and control of the installation quality of the cable accessory are realized, and the installation efficiency is improved. And the efficiency and reliability of project quality management are improved.

The application discloses a method and system for image tracking based on microphone level, wherein the method comprises collecting level data of at least two microphones, and performing time window aggregation on the same level at a preset detection frequency; determining a threshold interval corresponding to each channel according to an environment noise floor and channel sensitivity obtained by pre-calibration, and generating a level event when the aggregated level exceeds the threshold interval; writing the level event of each channel into an event queue, arbitrating according to a preset event type priority and channel role priority, and determining a target event; generating a control instruction according to a mapping relationship between the target event and a camera, converting the control instruction into a communication protocol format corresponding to the target camera through a protocol adaptation layer, and then issuing and executing the control instruction; receiving instruction execution feedback information from the camera, and updating a current view state according to the feedback result. The application realizes continuous and stable control of the current speaker picture in a multi-person audio and video conference scene.

This invention discloses an image tracking method based on a filtering algorithm, comprising the following steps: S1. Processing video images to obtain frame-by-frame image information; S2. Reading image frame information, setting an initial search window from relevant frame images, and determining the target object to be tracked; S3. Using a particle filter algorithm to perform coarse tracking of the target; S4. Using the KCF_DCF target tracking algorithm to obtain the position and scale response of the particle filter in each segmented region; S5. Comparing and judging the region response results, using a weighted response coefficient L to determine a threshold; if it is greater than the set threshold, proceed to step S6; if it is less than the threshold, proceed to step S7; S6. If it is greater than the threshold, directly output the localization result as the final result; S7. If it is less than the threshold, it is determined to be an occluded region, and Kalman filtering is performed on the particles in the unoccluded region for prediction, using the prediction result as the target localization result. This invention provides an image tracking method based on a filtering algorithm, solving the occlusion problem and improving the robustness of the target tracking system.

Method: generating local histogram ranking of pixel values located within sliding window within raster image; determining edge strength for edge depicted by comparing pixel ranks indicated by local hi

A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image source of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack where the weight sensor is installed. The tracking subsystem determines that a first person and a second person may be associated with the event. The tracking subsystem then determines, using a first approach, whether an action associated with the event was performed by the first person or the second person. If the results of the first approach do not meet the criteria, a second approach is used to assign the action to the first or second person.

This invention discloses a moving target localization method based on single-pixel imaging in complex backgrounds, comprising: a rapidly moving target entering the scene against a complex grayscale background; playing several binarized Fourier substrate patterns using a digital micromirror device; the light field of the target being rapidly modulated and received by a single-point silicon detector, then converted from analog to digital by a high-speed acquisition card and stored in a computer; then using the Fourier slicing theorem to convert some Fourier coefficients into a one-dimensional line integral signal projected along the x and y axes; comparing the difference between the one-dimensional line integral signals with and without the target in the time dimension; and using a threshold division method to determine the coordinates of the target center. This invention addresses the problem that the imaging frame rate in the single-pixel domain cannot meet the high resolution and real-time requirements of object tracking, effectively broadening the application scope of image-free tracking methods and promoting the application of single-pixel imaging in fields such as moving target detection.

The invention relates to the field of image information security, and provides an image registration and image tracing method and device, and the method comprises the steps: receiving an original image and a registration voucher, calculating a first encryption element according to a first element of the voucher, and transmitting a second element to a watermark server to obtain a second encryption element; then, a first image feature vector and a first coding feature vector are extracted by combining the encryption element and the combined element of the credential. And comparing the image feature vector with a second image feature vector generated according to the current original image, and if the image feature vector is verified to be consistent with the second image feature vector, sending the first coding feature vector to a watermark server for decoding. And finally, receiving the main body identifier and the timestamp obtained by decoding of the watermark server side, and returning the main body identifier and the timestamp to the user side. According to the invention, through a separation encryption and verification mechanism of the image registration end and the watermark server, tamper-proofing and traceability of the image are realized on the premise of protecting the anonymity of the main body.