70 results about "Image tracing" patented technology

The invention discloses a deep counterfeit face image source tracing evidence obtaining method and system based on a diffusion model, and relates to the technical field of deep counterfeit face image evidence obtaining. The method comprises the following steps: constructing a robust watermark framework based on a diffusion model, wherein the framework comprises a diffusion model encoder, a watermark decoder and a freeze parameter auto-encoder; in a training stage, a face image and a watermark are constructed as conditions, a diffusion model encoder is guided to denoise, and a corresponding watermark image is predicted; the trained robust watermark framework based on the diffusion model is used for testing, a specific depth forging model is added in the sampling stage for guiding, and a more robust watermark image is generated through iterative denoising; in the evidence obtaining stage, the watermark in the forged image to be subjected to evidence obtaining is obtained through the watermark decoder. The method can effectively cope with different counterfeiting technologies, provides a more robust and reliable deep counterfeiting traceability evidence obtaining scheme, and has strong adaptability and wide application prospects.

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 invention discloses an image watermarking method for a stable diffusion model, and the method comprises the steps: selecting one of all potential features in a reverse diffusion process of the stable diffusion model as a target potential feature, and constructing an image watermark generation recognition model which comprises a watermark information embedding module and a watermark extraction module; the watermark information embedding module is used for embedding user watermark information into the target potential features, and inputting the obtained watermark target potential features instead of the original target potential features into the remaining sub-models of the stable diffusion model to generate a watermark image; and the watermark information extraction module is used for extracting user watermark information from the watermark potential features obtained by carrying out DDIM inversion on the watermark image, and the user generating the watermark image can be identified according to the extracted user watermark information. According to the method, the user watermark information is embedded into the potential features of the stable diffusion model, so that the image traceability with high robustness and high concealment is realized on the premise of not damaging the quality of the generated image.

The invention belongs to the technical field of intelligent traffic, particularly relates to a tunnel global tracking method based on an old camera re-identification technology, and aims to accurately realize global tracking and trajectory generation of a tunnel traffic target in a low-cost manner. The method comprises the steps of receiving an RSTP data stream, processing the RSTP data stream through a detection algorithm to obtain a sensing result, and feeding back the sensing result to the image tracking module. And processing a time sequence sensing result, adding vehicle speed information and a vehicle ID, and generating a tracking result including the vehicle ID, a target frame, a vehicle speed, a vehicle type, a color, a timestamp, a base station number and a camera number. On the basis of vehicle pixel picture data, upstream sample library candidates are matched for a current point position sample library target, if matching succeeds, the target inherits the global ID, if matching fails, the point position ID is reserved, and the target is output to a downstream point position and a simulation platform after the sample library is updated. And the trajectory generation post-processing module constructs a target matching relationship between adjacent camera sections through a frame insertion mode according to a feature re-identification result, and generates a tunnel global complete trajectory chain.

To reduce the possibility that a person who first entered a passageway after authentication may pass through the passageway when a person who was authenticated before entering the passageway and the person who first entered the passageway after authentication are different individuals, at a ticket gate, etc. at train stations.SOLUTION: In a passage control system according to the embodiment, a control device performs the processing of: inputting authentication information for a first person before entering a passageway; verifying whether the first person is an authorized passerby based on the authentication information; detecting the first person's face based on a captured image when the first person is verified as the authorized passerby; tracking the first person's face based on multiple captured images in sequence; setting an image region based on a detected position of a second person who first entered the passageway after the first person was verified as the authorized user; determining whether the face of the tracked first person is within the image region in the captured image when the image region is set; and performing control to close an opening / closing door when determined to be not within the image region.SELECTED DRAWING: Figure 7

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 invention discloses a method and apparatus for image provenance tracing, comprising: training a provenance graph construction model based on information about modification relationship identification and modification direction judgment of feature graphs of input image pairs; initializing a known basic database to obtain a relational database containing modification relationships between data stored in a graph structure and basic database data; performing global feature extraction on target images for image provenance tracing to obtain a set of candidate images; and constructing a directed provenance graph for the candidate image set based on the provenance graph construction model, performing image modification relationship backtracing on the candidate image set. The present invention can accurately analyze modification relationships between images to construct a provenance graph, providing a precise and efficient image provenance implementation solution suitable for large-scale scenarios.

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 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.

This application provides a method, apparatus, device, and storage medium for target selection in adaptive cruise control, applicable to the field of adaptive cruise control technology. The method includes: acquiring image detection data of the area in front of the vehicle using an onboard camera, and acquiring an image tracking target and the vehicle's current lane based on the image detection data; acquiring radar detection data of the area in front of the vehicle using an onboard radar, and acquiring a radar tracking target based on the radar detection data; fusing the image tracking target and the radar tracking target to obtain a fused target; selecting the fused target that continuously meets target selection criteria within a preset time period as a potential following target; wherein the target selection criteria include pixel-level selection criteria and world-level selection criteria; and selecting the potential following target with the smallest longitudinal distance to the vehicle as the cruise following target. This application's method, by combining pixel-level selection and world-level selection, effectively improves the accuracy of adaptive cruise control target selection.

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 an information processing device comprising a processor and a communication device. The communication device receives a captured image of a person passing through a prescribed passageway. The processor uses the captured image to track the person, and when the person is positioned in a verification zone that is set on the entrance side of the passageway, the processor uses the captured image of the person to verify the person. When a person for whom verification has failed is positioned in a passage determination zone set on the exit side of the passageway, the processor displays, on a prescribed monitor, information indicating that the verification has failed. When a person for whom verification has failed has exited to the exit side from the passage determination zone, the processor displays, on the monitor, information indicating that said person has made unauthorized passage.

A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed 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 in which the weight sensor is installed. The tracking subsystem determines that a first person or a second person may be associated with the event. In response to determining that the first or second person may be associated with the event, buffer frames are stored of top-view images generated by the sensor during a time period associated with the event. The tracking subsystem then determines, using at least one of the stored buffer frames and a first action-detection algorithm, whether an action associated with the event was performed by the first person or the second person.

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.

To provide an information processing device that allows a user to manipulate a virtual object by moving a finger, arm or the like, and is less likely to cause manipulation or display not intended by a user.SOLUTION: An information processing device is provided, comprising image capturing means for acquiring a captured image by capturing an image of real space, tracking means configured to respond to a first case where a first body part of a user is present in the field of view of the image capturing means by tracking the first body part based on the captured image to detect the position and orientation of the first body part, and display control means for controlling the display means to display a first UI in the first case. The first UI is for manipulating a virtual object based on the position and orientation of the first body part detected by the tracking means. When the first body part moves outside the field of view of the image capturing means, the display control means controls display for manipulating the virtual object in accordance with a result of determination as to whether the user intends to manipulate the virtual object.SELECTED DRAWING: Figure 3

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.