47results about How to "Improve tracking efficiency" patented technology

The invention provides an unmanned aerial vehicle multi-target tracking method and system based on visual and millimeter-wave radar information fusion, and the method comprises the steps: obtaining an association result through employing a space-time consistency model, constructing a self-adaptive joint probability data association frame according to the association result, so as to obtain an initial target state estimation value, and carrying out the recognition of the initial target state estimation value. A prospective path planning algorithm is adopted to obtain an optimal observation angle flight path, a Bayesian network is utilized to obtain initial observation data, based on the initial observation data, an optimal target state estimation value is generated, a distributed cooperative sensing mechanism is used to generate an initial tracking task allocation scheme, and an intelligent resource allocation strategy is implemented. Generating an initial resource allocation scheme, starting a quick response protocol to obtain an optimal tracking task allocation scheme, and generating an optimal resource allocation scheme based on the optimal tracking task allocation scheme; according to the technical scheme provided by the invention, the accuracy of target identification is improved, the environmental adaptability is enhanced, the tracking efficiency is improved, and the working time is prolonged.

The embodiment of the invention provides a route generation method and device in a game, electronic equipment and a storage medium, and relates to the technical field of game interaction.The method comprises the steps that a game task corresponding to a virtual character is determined, and the game task is used for indicating the virtual character to collect virtual objects in a game scene; displaying a game map corresponding to the game scene, and displaying an object mark at a refreshing position corresponding to the virtual object on the game map; in response to a route editing operation acting on the game map, determining a target object mark according to an operation track corresponding to the route editing operation and the distribution of the object mark in the game map, and displaying a tracking route for tracking a target virtual object corresponding to the target object mark, therefore, the operation process of the player is effectively reduced through a convenient triggering mode, meanwhile, the virtual object is navigated based on the tracking route, the tracking efficiency can be effectively improved, and the game experience of the player is guaranteed.

The invention provides a method for tracking a speaker based on a panoramic camera and a close-up camera. The method comprises the steps that the panoramic camera shoots all people into a panoramic picture; based on a sound source of a speaker and / or analyzing facial actions of all people in the panoramic picture, positioning face position information of the speaker in the panoramic picture; based on the position relation between the panoramic camera and the close-up camera and the face position information of the speaker, the angle and the focal length of the close-up camera are determined, and close-up shooting is carried out on the speaker; the face position of the speaker in the close-up picture is analyzed, and the close-up camera is finely adjusted, so that the speaker is centered in the close-up picture. The position of the speaker is positioned by combining face detection and voice recognition technologies, and the close-up camera picture is triggered to track the close-up picture of the speaker, so that the conference control operation is avoided, and the intelligence of the conference terminal is remarkably improved.

The invention relates to a medical history information tracking method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a medical record image of a target object; performing layout analysis on the medical record image to obtain a plurality of layout partitions; performing text recognition on non-picture partitions in the plurality of layout partitions to obtain a medical record text; performing text analysis and information extraction on the medical record text to obtain structured medical record data; constructing a medical record graph database based on the structured medical record data; the medical history database is used for tracking medical history information. By adopting the method, the medical history information tracking efficiency can be improved.

The invention provides a lesion dynamic tracking method and device and a computer storage medium, and the method comprises the following steps: obtaining any frame of ultrasonic image containing a lesion; two different network models are combined to position a focus; extracting focus boundary pixel points and tracking the boundary pixel points; calculating the coordinates of the tracked boundary pixel points in the current frame of ultrasonic image; and performing curve fitting on the calculated boundary pixel point coordinates of the current frame of ultrasonic image and displaying the boundary pixel point coordinates in the current frame of ultrasonic image. According to the lesion dynamic tracking method, the position of the lesion can be accurately tracked under the dynamic condition, and the problem that the position of the lesion is very easy to change in the process that a puncture needle penetrates into the tissue due to the fact that the tissue to be punctured is soft tissue and the breathing of a patient in an ultrasound-guided biopsy puncture examination operation is solved; and the difficulty of an ultrasound-guided biopsy puncture operation is reduced.

The present invention provides a three-dimensional visualization intelligent management and control system for a production line, including a data storage service module, an application service module, a graphics service module, a 3D management module, and an operation module. The operation module is used to collect material data, process data, and operation data in real time. The application service module is used to perform various business processes of the production line and obtain business application data. The graphics service module is used to generate a three-dimensional picture and a three-dimensional model and their display position. The 3D management module is used to combine material data, process data, operation data, business application data, a three-dimensional model and its display position, and a three-dimensional picture to obtain a three-dimensional monitoring interactive interface. A nuclear industry production system is also provided. The intelligent management and control system can fully display the actual status of the equipment on site, the operation process, the warehousing process, etc. to the monitoring personnel, thereby improving production efficiency and management and control safety.

The present invention relates to a permanent magnet synchronous motor control method and system based on second-order auto-disturbance rejection control, which belongs to the field of permanent magnet synchronous motor control technology and solves the problems of poor robustness and weak anti-disturbance capability of traditional auto-disturbance rejection controllers. Based on the established d-q axis mathematical model of the permanent magnet synchronous motor, a state equation is obtained; a second-order auto-disturbance rejection controller is established; based on a model reference adaptive observer, an estimated speed ω of the permanent magnet synchronous motor is obtained. r ; Set the speed of the permanent magnet synchronous motor ω r and speed given value ω r * At the same time, input the second-order ADRC to obtain the q-axis voltage prediction value u q ; and, the result obtained by subtracting the d-axis current value of the permanent magnet synchronous motor from the reference value of the d-axis current is input into the PI controller to obtain the d-axis voltage prediction value u d ; The PWM control signal is obtained and input into the inverter connected to the permanent magnet synchronous motor to realize the drive control of the permanent magnet synchronous motor. The robustness and anti-interference ability of the controller are improved.

The present application discloses a vehicle tracking method, computer equipment and storage device. The method comprises: detecting a first vehicle part on a current video frame of a preset video to obtain a part detection frame to be processed; determining each candidate part detection frame corresponding to the part detection frame to be processed, the candidate part detection frame comprising a detection frame obtained by detecting a second vehicle part on a historical video frame; the first vehicle part and the second vehicle part are of different types, and the historical video frame comprises a video frame before the current video frame in the preset video; determining a target part detection frame from each candidate part detection frame, and associating the target part detection frame with the part detection frame to be processed; the second vehicle part identified by the target part detection frame and the first vehicle part identified by the part detection frame to be processed belong to the same target vehicle; tracking the target vehicle based on the associated target part detection frame and the part detection frame to be processed, which can improve the tracking efficiency of the target vehicle.

The application discloses a kind of star tracking methods, comprising the following steps: S100, satellite signal is tracked by linear scanning, and automatic star device is adjusted according to the satellite antenna of provided theory star angle, and visual angle scanning is carried out;S200, satellite signal is tracked twice by cross scanning, and based on the theory star angle of S100 acquisition, visual angle scanning is driven to automatic star device and micro antenna;S300, if satellite signal is tracked in S100 linear scanning process, its corresponding antenna returns starting point;If satellite signal is tracked in S200 cross scanning process, its corresponding antenna keeps signal tracking state;Linear scanning is combined with cross scanning, it is solved that star efficiency is low, linear scanning is more strict to field environment requirement, if it is not straight line, but curve, cross scanning can improve satellite signal tracking efficiency, star time is shortened, fault tolerance is high.

The invention discloses a method for constructing a moving vehicle tracking model in a satellite video. The method comprises a correlation filtering target tracking module construction method, a neural network target tracking compensation module construction method and a correlation parameter feedback module construction method. In a correlation filtering target tracking module, in order to cope with a complex background in a satellite video, a histogram of oriented gradient feature, a gray feature and a CN color feature are adopted to carry out fusion training on a correlation filter, and the discrimination rate between a target vehicle and a similar object and the algorithm robustness are improved. And meanwhile, a shielding judgment standard is established by utilizing an APCE value of the correlation filtering response diagram after fusion training, so that the shielding state of the vehicle target is effectively detected, and the target in the shielding state is subjected to driving track prediction by adopting correlation filtering. And after shielding is detected to be finished, connection and correction of a correlation filtering prediction trajectory and a correlation filter output trajectory are realized, so that continuous tracking is realized. In the neural network target tracking compensation module, the output position of a filter is subjected to secondary correction through a Siamese network, and meanwhile, a KM algorithm and a region-based target recovery network are used for forming a tracking trajectory, recovering a shielding target, reducing a label conversion error and improving the visual perception and understanding ability of an image. In the related parameter feedback module, an incidence matrix is established by using an augmented path algorithm, a feedback value is obtained by calculating an area intersection-to-union ratio, and related parameters of Kalman filtering and a Siamese network are updated, so that the detection precision and robustness are improved, the system flow is simplified, and the efficiency is improved. According to the method provided by the invention, large-range vehicle tracking can be carried out by using satellite videos, and the method has relatively high tracking precision and efficiency.

The invention relates to the technical field of visual SLAM under autonomous navigation, and discloses a dynamic scene RGB-D SLAM method based on image difference and particle filtering, and the method comprises the steps: firstly introducing a PROSAC algorithm for matching optimization based on visual SLAM matching feature points of FAST features and BRIEF descriptors; secondly, calculating a basic matrix based on the optimized matching point set, re-projecting the previous frame of RGB image to the current image, and roughly detecting object motion by differentiating the two images; thirdly, based on particle filtering tracking, object motion detection is enhanced, specifically, differential image information is used as measurement information of particle filtering, the weight of particles is updated, and therefore moving object position estimation is optimized. In each iteration, a MAP estimate of the moving object position is calculated. Furthermore, the detection result is further optimized through vector quantization of the depth map, so that the moving object is accurately segmented. And finally, by removing the features in the segmented regions, a basis is provided for realizing accurate self-motion estimation of the camera and effective mapping.

The invention discloses a single-target tracking system and method based on MCUs, and belongs to the field of target tracking, the tracking system comprises a camera device and a user interaction device, the camera device is connected with a plurality of MCUs, neural networks are arranged on the MCUs, and the tracking system is used for obtaining template images; outputting template image features; obtaining an instance image and carrying out data pre-processing on the instance image; outputting instance image features; inputting the template image features and the instance image features into an image fusion network for operation to obtain unprocessed prediction data; performing confidence data post-processing; position data post-processing is carried out, a predicted calibration frame is obtained, a next frame of instance image is determined again according to a new calibration frame, and target tracking is completed; and performing frame insertion operation to complete tracking. According to the method, the problem of deploying the twin network on the MCU equipment is solved, so that the deployment cost is greatly reduced on the basis of sacrificing a small part of performance levels, and the protection of user privacy data is further improved.

The present invention discloses a multi-target tracking method, device and storage medium based on appearance feature quality screening, which extracts appearance features of detection targets by constructing a lightweight appearance feature network; performs quality assessment on the appearance features to generate quality scores of corresponding detection targets; divides the detection targets into different quality levels according to the quality scores, and first performs inter-frame association operations on a first target image set and target position information of corresponding frames according to the order of quality, so as to obtain tracking trajectories of the detection targets of the first target image set; then performs inter-frame association operations on a second target image set and target position information of corresponding frames, so as to obtain tracking trajectories of the detection targets of the second target image set; merges the tracking trajectories of the first target image set and the tracking trajectories of the second target image set, so as to obtain the final tracking trajectories of the detection targets; thereby maintaining high tracking accuracy while also improving tracking efficiency.

The application discloses a graphics processor, a ray tracing method, an electronic device and a computer storage medium. The graphics processor comprises a ray distribution assembly unit, which determines a shader type and an SBT record index corresponding to a ray according to hit information output by a ray tracing core, allocates an SBT slot to rays with the same SBT record index and shader type, and initiates a prefetch request to a ray thread constructor at a moment before a thread start trigger condition of the SBT slot is met; the ray thread constructor determines a storage address of a shader record corresponding to the SBT slot in response to the prefetch request, reads, from a storage unit, shader record data corresponding to the SBT slot based on the storage address in a case where the SBT cache area is not written with the shader record data corresponding to the SBT slot, and writes the shader record data into the SBT cache area. According to the embodiment of the application, the thread start efficiency can be improved.

An illuminometer measuring device disclosed by the present invention comprises an instrument shell and a connecting rod fixing seat fixed at the bottom of the instrument shell, the connecting rod fixing seat is rotatably provided with a connecting rod III through a hinge shaft III, the other end of the connecting rod III is rotatably provided with a connecting rod II through a hinge shaft II, and the other end of the connecting rod II is fixedly connected with a connecting rod I; a light blocking ball supporting rod is fixed to the middle of the first connecting rod, and the other end of the light blocking ball supporting rod is fixedly connected with a light blocking ball. According to the invention, based on the harmonic transmission and crankshaft transmission technology and the design concept of combining with four connecting rods, under the guidance of the sun tracker, the motor drives the pitching rotation system to rotate, and the four connecting rods are driven to swing in a pitching manner through the synchronous rotation of the crankshaft, so that the inclination angles of light inlets of the light blocking ball and the integrating sphere are consistent with the zenith angle of the sun; at the moment, due to the sunlight light path linear propagation principle, the shadow center of the light blocking ball coincides with the light inlet hole blocking the integrating sphere, and measurement of the total diffusion illumination is completed.

The application relates to a cross-lens multi-target tracking method and device based on skeleton similarity and a medium, wherein the method comprises the following steps: reading in multiple camera data streams, simultaneously storing two video streams in a storage queue, taking the streams frame by frame from the storage queue, and obtaining a first picture and a second picture shot by two cameras at the same time; performing head positioning on the first picture and the second picture to obtain appearance features and center coordinates, and performing skeleton extraction to obtain joint skeleton postures; taking the appearance features and the center coordinates as inputs of a target tracking model, and performing same-region target ID matching; when it is detected that the first picture enters an overlapping region of the second picture, calculating skeleton posture similarity and center coordinate Euclidean distance, and realizing cross-region target ID matching during region switching by linearly weighting and combining the two. Compared with the prior art, the application has the advantages of improved tracking accuracy and robustness.

The invention relates to the technical field of vertical shaft vortex recognition, in particular to a vertical shaft vortex recognition and tracking algorithm. The vertical shaft vortex identification and tracking algorithm can improve the identification precision and enhance the adaptability in the aspect of vertical shaft vortex identification, can realize continuous tracking and improve the tracking efficiency in the aspect of vertical shaft vortex tracking, can meet the requirements of different users in the aspect of result output and visualization through diversified output forms, and improves the practicability of the technology. By drawing the recognition result, the tracking trajectory, the feature analysis chart and the like of the vertical shaft vortex, the result is visually visualized, the motion law of the vertical shaft vortex can be visually understood, and the readability and usability of the technology are improved.

This disclosure relates to an obstacle tracking method, apparatus, and electronic device. The method includes: acquiring 3D bounding box information of various objects surrounding a vehicle at the current time point, and 3D detection bounding box information of various obstacles surrounding the vehicle at various historical time points; for each obstacle, inputting the 3D detection bounding box information of the obstacle at various historical time points into the obstacle tracking filter to determine the 3D prediction bounding box information of the obstacle at the current time point; determining the obstacle to which each 3D bounding box information belongs based on the 3D bounding box information and the 3D prediction bounding box information of each obstacle at the current time point, for updating the tracking filter of each obstacle, and determining the updated 3D prediction bounding box information of the obstacle at the current time point, thereby performing obstacle tracking processing. This method enables 3D obstacle detection in multiple shooting device scenarios, improves obstacle detection efficiency, and thus improves obstacle tracking efficiency.

The invention relates to a multi-target tracking method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: for a current video frame, obtaining a detection frame in the current video frame; for a track obtained based on a video frame before the current video frame, predicting a prediction frame of the track in the current video frame; all the detection frames are matched with all the prediction frames, and the prediction frames and the detection frames which are matched with each other are obtained; according to the prediction frame and the detection frame which are matched with each other, updating the number of matching failures of the corresponding track; and taking the trajectory with the matching failure frequency greater than the preset frequency as an overlapping hidden target, and pausing to track the trajectory with the matching failure frequency greater than the preset frequency. According to the method and the device, pause tracking is carried out on tracks with accumulated matching failure times in the tracking process, tracking targets hidden due to overlapping cannot appear temporarily, and the pause tracking can reduce the overall calculation amount, so that the tracking efficiency can be improved.

The present invention provides a method, device and electronic device for displaying an indicator mark, which relates to the field of game technology, including setting a field of view plane area in a graphical user interface in response to a designated event being triggered; determining a first relative position between a target object corresponding to the designated event and the field of view scene area in a virtual scene; and displaying an indicator mark of the target object at a designated position in the field of view plane area based on the first relative position. In this method, a field of view plane area is set in the interface, and the relative position of the target object and the field of view scene area can determine the designated position of the indicator mark displayed on the field of view plane area, as well as the mark content; the indicator mark indicates the distance and direction of the target object. This method can ensure that the indicator mark can be displayed on the field of view plane area at any time, providing clear guidance information, so that the player can find the target object in a shorter time, improving the player's tracking efficiency of the target object, and speeding up the game process.

The utility model provides a photovoltaic panel sunlight tracking device which comprises a linear driving module, a first rotation driving module, a second rotation driving module, a power switching module and a photovoltaic panel rotation support (3). The device is characterized in that the first rotation driving module is used for using a first push rod (12) to push a photovoltaic panel rotation support to rotate around a first axis within a first time interval, and comprises the first push rod (12) and a first rotating arm (13); the second rotation driving module is used for pushing the photovoltaic panel rotating bracket to rotate around a second axis by using a second push rod (22) in a second time interval, and comprises the second push rod (22) and a second rotating arm (23); and the power switching module is used for softly switching the power output to the first push rod (12) to the second push rod (22) in a switching time interval, and comprises a first sliding block (11), a second sliding block (21) and a sliding block shifting piece (42). The device is simple in structure, high in tracking efficiency, low in cost and long in service life.

The invention provides a multi-target tracking method based on rapid GM-CBMeMBer filtering, and the multi-target tracking is realized by constructing an F-GM-CBMeMBer filter and utilizing the constructed F-GM-CBMeMBer filter. The filter can simplify the updating step of the CBMeMBer filter, still inherits the excellent performance of the CBMeMBer filter in the aspect of state estimation, greatly improves the tracking efficiency while guaranteeing the tracking performance compared with the original CBMeMBer filter, can be considered to be the accelerated implementation of the original CBMeMBer filter, improves the operation efficiency of a multi-target tracking system, and reduces the cost of the CBMeMBer filter. And a multi-target tracking task with a relatively high real-time requirement can be better executed.

The application relates to the technical field of video image processing, and discloses a parcel forbidden article tracking method and device based on a video, equipment and a medium. The method comprises the following steps: acquiring a security check video and obtaining a corresponding image; target features determined by length features and angle features are extracted in a previous frame image; based on the target features, matching detection is performed in a current frame image; a current offset prediction value and a current offset detection value are determined; based on the current offset prediction value or a fusion result, an actual position of a target forbidden article in the target parcel in the current frame image is output, and the parcel forbidden article tracking based on the video is completed. The device, the equipment and the storage medium correspond to the method. The application solves the technical problem that the same parcel target in multiple frame images cannot be associated, the detection result is fragmented, the whole-process track of the forbidden article from appearance to removal in the security check instrument cannot be tracked, and the precision management and control and the rapid disposal efficiency of the security check process are limited.

The invention belongs to the technical field of audio-visual speaker tracking, and particularly relates to an audio-visual speaker tracking method based on a multi-stage multi-modal knowledge distillation strategy, which comprises the following steps: S1, acquiring multi-modal data including visual data and auditory data, and performing data preprocessing on the multi-modal data; s2, inputting a visual teacher network to carry out visual feature extraction and speaker position estimation; s3, auditory feature extraction and speaker position estimation are carried out; s4, calculating feature collaborative loss in a feature extraction stage; s5, calculating fusion guide loss; s6, the Logs loss is calculated; and S7, calculating the total loss, and dynamically adjusting each loss weight according to the current learning state of the student network. According to the method, the audio-visual fusion process is guided by constructing the audio-visual teacher-student model and introducing the knowledge distillation normal form, the knowledge from the teacher network is gradually migrated to the student network, and the positioning capability and the fusion capability of the student network are improved.

The invention discloses a heterogeneous unmanned aerial vehicle layered formation control method based on a Shapley value and a coupling SAC, and the method comprises the steps: firstly determining the position and attitude information of a tracking unmanned aerial vehicle and a target unmanned aerial vehicle, and then determining a trajectory control signal through a position control module based on the position and attitude information, so as to drive the tracking unmanned aerial vehicle to track the target unmanned aerial vehicle. And determining an attitude control signal through an attitude control module so as to drive the tracking unmanned aerial vehicle to track an expected yaw trajectory, finally performing cooperative tracking control on the tracking unmanned aerial vehicle based on the trajectory control signal and the attitude control signal, calculating a tracking error variable, and judging whether the tracking error variable meets a preset condition, and if so, taking the current track control signal and the attitude control signal as an optimal control strategy, otherwise, updating the track control signal and the attitude control signal until a preset condition is met. According to the method, the problem that a heterogeneous unmanned aerial vehicle group in which part of unmanned aerial vehicles do not have the target detection capability keeps layered formation tracking of target points in a complex environment is solved.

The application discloses a sample storage management method and a sample management system, and belongs to the technical field of computers. The method comprises the following steps: in response to obtaining the storage information of at least one sample box, associating the box label of each sample box with the sample label of each sample included in each sample box, wherein the storage information comprises sample association information and attribute information of the sample box, the sample association information comprises the box label of the sample box and the sample label of each sample included in the sample box, and the attribute information comprises the position attribute, the environment adaptation attribute and the storage attribute of the sample box; determining the target box position node matched with each sample box based on at least one of the position attribute, the environment adaptation attribute and the storage attribute of each sample box; binding the box label of each sample box with the box position label of the matched target box position node, forming a unique association, and updating the storage state of each target box position node and the corresponding ancestor node to an occupied state.

A base station apparatus acquires, for a cell formed by the base station apparatus, a list of area identifiers belonging to a tracking area the same as that of the cell and information of an area identifier of a neighbor cell adjacent to the cell, determines whether or not the area identifier of the neighbor cell is included in the list, and notifies a terminal apparatus of information in which information of the neighbor cell and a result of the determining are associated together.

The present invention discloses an 8K intelligent target tracking method and system, the method comprising: obtaining a first infrared image taken by an infrared camera and a first 8K image taken by an 8K camera; determining a common center point of the first infrared image and the first 8K image by image registration; selecting a target on the center point and identifying the target; tracking the identified target by a target tracking algorithm and predicting a motion path of the identified target; adjusting the angle of the pan / tilt according to the predicted motion path; obtaining a second infrared image taken by the infrared camera after adjusting the pan / tilt angle and a second 8K image taken by the 8K camera; obtaining a second infrared feature of the second infrared image and a second 8K feature of the center point of the second 8K image; verifying whether the second infrared feature and the second 8K feature are consistent by multi-spectral target. The invention has the beneficial effect of solving the problem of high-efficiency and high-accuracy tracking when tracking a target.

The invention discloses a radar target monitoring method based on potential game, which belongs to the field of radar monitoring. The specific steps of the monitoring method are as follows: S1, collecting and preprocessing radar echo data of multi-source sensors; S2, extracting multi-source sensor data and performing feature fusion; S3, classifying and marking targets in radar data; S4, real-time tracking of multiple targets and optimizing target tracking paths; S5, optimizing resource allocation strategies and establishing target association relationships; the invention can more intelligently select a suitable path, improve the efficiency and accuracy of target detection and tracking, dynamically adjust radar scanning and moving paths, maintain the stability and reliability of a monitoring system, improve the overall performance of a monitoring system, improve the safety and reliability of the system, discover potential abnormal behavior patterns, enhance the ability to respond to abnormal situations, and provide deeper information support for radar target monitoring.

This invention relates to the field of photovoltaic power generation technology and discloses a method and system for maximum power point tracking (MPPT) under complex lighting conditions. The method includes: setting several complex operating condition categories for the photovoltaic array and constructing a MPPT model based on all complex operating condition categories; acquiring real-time monitoring data, determining the real-time operating condition category, and generating a real-time tracking strategy in conjunction with the MPPT model; generating a feedback data packet, determining application difference characteristics based on the feedback data packet, and evaluating the application effect to obtain a real-time application evaluation value; generating a correction strategy for the real-time tracking strategy based on the real-time application evaluation value and a preset correction strategy library, and issuing correction instructions until the global maximum power point is located, thereby improving tracking accuracy and efficiency, and significantly improving the power generation efficiency and stability of the photovoltaic power generation system in complex environments.