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46results about How to "Improve target tracking efficiency" patented technology

Secondary surveillance radar track extraction method for multimode polling and S-mold roll-calling interrogation

InactiveCN103076605ASolve technical problems that are difficult to removeImprove accuracyRadio wave reradiation/reflectionSecondary surveillance radarTime space
The invention provides a secondary surveillance radar track extraction method for multimode polling and S-mold roll-calling interrogation. By using the method, false targets under an interference environment can be effectively removed and the accuracy and the real-time performance of the S-mode query are improved. The method is realized through the technical scheme that plot combination is conducted to S-mode plot data which is searched from the same sector of a secondary surveillance radar interrogator, the mean value and the variance of the plot data are calculated, and a real track is initiated after time-space registration; the combined plot data is divided according to the sector characteristic of radar and an associated sector window is created to enter a plot and track processing flow; firstly de-biased measurement conversion is conducted to the associated plot data, a CV (Constant Velocity) model, a CA (Constant Acceleration) model and a current statistical model are combined into a target multi-model, and the interactive input state estimation vector and the variance of each filter under an interactive effect are calculated; interference targets are removed by adopting interference target removing strategies; and unnecessary target files are removed through track management, tracking is ended and a correct target track extraction result of the secondary surveillance radar is given.
Owner:10TH RES INST OF CETC

Target tracking method and device, storage medium and electronic equipment

The invention discloses a target tracking method and device, a storage medium and electronic equipment, and belongs to the technical field of artificial intelligence. The method comprises the following steps: acquiring a video stream acquired by a camera, and decoding the video stream to obtain multiple frames of images; for a to-be-processed current frame image, when the current frame image is afirst type image, performing target detection on the current frame image to obtain position information of a detected target in the current frame image; and when the current frame of image is a secondtype of image, predicting the position information of the detected target in the previous frame of image in the current frame of image based on the motion vector of the previous frame of image. According to the target tracking method provided by the invention, the information of all the decoded images is utilized, the problem of relatively low speed caused by performing target detection on the frame-by-frame images is avoided, the real-time tracking speed is ensured, and the accuracy of the obtained tracking result is also ensured.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Target tracking system based on cooperation of UAV and unmanned vehicle

The invention discloses a target tracking system based on the cooperation of an UAV and an unmanned vehicle. The target tracking system includes an UAV, a workstation and an unmanned vehicle, whereinthe UAV includes a camera, an image transmission module and a control signal receiver. The camera transmits a captured image with position and feature information to a ground signal receiver via the image transmission module. After receiving an image captured by the camera on the UAV, the workstation searches and accurately positions a target object and an obstacle. A signal transmission module transmits the position information of the target object and the obstacle to the onboard computer of the unmanned vehicle. The onboard computer designs the driving route of the unmanned vehicle accordingto the position information of the target object and obstacle, and controls the vehicle to advance to the target object to complete the target tracking. By means of the cooperation of the UAV and theunmanned vehicle, the target tracking system improves the reliability, the accuracy, and the work efficiency of target tracking.
Owner:GUIZHOU UNIV

Real-time tracking system and method of moving target

The invention discloses a real-time tracking system and method of a moving target. The real-time tracking system comprises a video monitoring subsystem, a camera subsystem, a GIS (Geographical Information System) subsystem, an image recognition subsystem and a tracking control subsystem, wherein the GIS subsystem is used for providing a peripheral monitoring point list of the current position of a tracking target; the tracking control subsystem is used for extracting a target characteristic information list and a preset characteristic matching strategy; the image recognition subsystem is used for obtaining each path of video stream in the peripheral monitoring point list and carrying out real-time calculation on the monitoring camera of the current position of the tracking target according to the target characteristic information list and the preset characteristic matching strategy; the video monitoring subsystem is used for switching the main video into the monitoring camera of the current position of the tracking target. The real-time tracking system and method disclosed by the invention have the advantages that by integration of a GIS technology, a cloud computing technology and an image recognition technology, the real-time performance and the automation for tracking the moving target are realized, so that the labor cost and the personal errors are reduced to greatest extent and the tracking efficiency is improved.
Owner:CHINA SECURITY & FIRE TECH GRP

Target tracking method and apparatus based on human-machine interaction, and storage medium

The disclosure provides a target tracking method and apparatus based on human-machine interaction, and a storage medium. According to the method, a to-be-tracked target can be determined through a triggering instruction generated based on a target selection operation of a user without operation learning of multiple continuous frames of images, the acquisition operation of the target is reduced, and the target acquisition efficiency and the tracking efficiency can be improved; the dimension and the scale of a target image in a next frame can be detected based on extracted image characteristicsso that the tracking effect of a rigid target, a target with scale transformation, a target with high-speed motion, and a target which is shielded for a long time can be optimized to a certain extent,and the precision of target tracking is improved; and the effect of the operation efficiency and the target tracking can be guaranteed on general portable devices.
Owner:BEIJING XIAOMI MOBILE SOFTWARE CO LTD +1

Multi-thread visual target tracking method based on STC and block re-detection

The invention provides a multi-thread visual target tracking method based on STC and block re-detection, and the method comprises the following steps: S1, reading a first frame image, and determininga tracking target; S2, establishing a spatial context model for the first frame of image by adopting an STC algorithm; S3, performing blocking operation on a rectangular template area where a trackingtarget in the first frame image is located, and training an SVM classifier; s4, reading a next frame of image, learning from a previous frame of image to obtain a spatial context model, and calculating target neighborhood context priori; s5, updating the space-time context model of the current frame image; s6, obtaining a confidence map of the current frame image; s7, judging the shielded degreeof the tracking target in the current frame image according to the confidence probability; s8, selecting a corresponding processing strategy according to the judged shielding condition of the trackingtarget; and S9, circularly executing the steps S4-S8 until the current video or image sequence is completely processed. According to the invention, the target tracking reliability and the target tracking efficiency can be improved.
Owner:WUHAN UNIV

Image processing method and apparatus, and server

The embodiment of the invention discloses an image processing method and apparatus, and a server, for improving the contact ratio of a target box and a foreground target. The image processing method includes the following steps: acquiring an input box and a background frame; determining rows or columns to be cut in the target box; calculating a gradient difference matrix of the rows or columns tobe cut; and calculating the average value of the gradient difference in the gradient difference matrix, determining whether the average value is less than a gradient comparison value, and if the average value is less than the gradient comparison value, cutting the position to be cut from the target box. The image processing method takes the similarity between the input frame and the background frame as a basis for cutting the target box, calculates the average value of the gradient difference of the rows or columns in the target box of the input frame and the background frame as a comparison feature, and compares the average value with the gradient comparison value so as to determine whether the current row or column is a real foreground target, and if not, the current row or column is cutfrom the target box. Therefore, the image processing method can effectively correct the target box, and can improve the contact ratio of the target box and the foreground target.
Owner:HUAWEI TECH CO LTD

Specific moving target fast tracking method based on moving platform

The invention relates to a specific moving target fast tracking method based on a moving platform. The data of two kinds of sensors such as a laser radar and a visual camera are fused to track a target. The method comprises the steps that target coarse screening is carried out according to the information such as the speed, position and size of the moving target to acquire a candidate target set, wherein the information is acquired by the laser radar; an image area corresponding to the candidate target is tailored, and a specific moving target is identified based on a SIFT matching method; finally, in the target tracking phase, according to the information of the position, speed and direction of the target, the specific moving target position is estimated to track the target, wherein the information is acquired by the laser radar; and if tracking is failed, the tracking range is expanded, and SIFT matching is combined to identify the specific moving target for tracking. By fusing two kinds of sensor data, specific moving target tracking is carried out under the moving platform. The tracking accuracy is improved. The tracking efficiency is improved.
Owner:湖南穗富眼电子科技有限公司

An optimization system and method for a motion model

The invention discloses an optimization system and a method of a motion model. The method comprises the following steps of: acquiring N frame image information in a camera; acquiring a state vector ofa tracked target center in a pixel coordinate system in a k-th frame image, wherein k satisfies 1 <= k <= N; The second-order autoregressive motion model is used to predict the state vector of the target center in the (k+1) th frame image in the pixel coordinate system. The jerkiness constraint conditions of the target center in two consecutive adjacent images are established. The state vector ofthe tracked target center in the (k+1) th frame image is constrained by the jerky degree constraint condition in the pixel coordinate system. Obtaining the predicted position of the tracked target center according to the predicted state vector of the tracked target center in the coordinate system; The predicted position of the tracked target center is used to modify the target position of the searching area, and the accurate center position is obtained. The invention can accurately predict the position of the tracked target center while reducing the range of the searching area, and improve the efficiency of the target tracking.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Oil field dynamic intrusion target tracking system and method based on multiple unmanned aerial vehicles

The invention provides an oil field dynamic intrusion target tracking system and method based on multiple unmanned aerial vehicles, and relates to the technical field of unmanned aerial vehicle inspection and dynamic prediction tracking. The system comprises a control module, a monitoring module, a dynamic target trajectory prediction module and a multi-machine cooperative target tracking trajectory optimization module. According to the system, the monitoring module mounted on the unmanned aerial vehicle is used for collecting data of a dynamic intrusion target in a ground oil field working environment, then the dynamic target trajectory prediction module is used for predicting trajectories of the target in multiple sampling moments in the future, and the multi-machine cooperative target tracking trajectory optimization module is used for optimizing the distance error between the unmanned aerial vehicle and the target in the tracking process according to the predicted trajectories, sothat the distance error is kept within an effective tracking threshold value, and cooperative target tracking of the multiple unmanned aerial vehicles is achieved.
Owner:BOHAI UNIV

Sky background-based small target real-time detection and tracking method

The invention discloses a sky background-based small target real-time detection and tracking method. The target detection and tracking of a photoelectric tracking system are researched from a multi-scale perspective; and a target detection and tracking strategy for video image real-time processing is put forward according to an embedded system with limited hardware resources. According to the method of the invention, the existence of a target is detected on the basis of a characteristic that the local grayscale features of the target in sub-domains of different scales are different, the existences of a large-size target is detected in real time, and other targets in which main detection objects are small targets are detected through different steps, and therefore, real-time multi-target detection can be realized; according to the imaging features of small targets in a sky background, a small target imaging feature-based weighted centroid tracking method is put forward; and in a tracking process, the tracked targets are scored on the basis of a result obtained after global small target detection is performed, the targets are screened, and finally the real-time detection and trackingof the small targets is achieved. The method of the invention can be used for small targets of visible light and infrared videos.
Owner:THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP

Mean-shift-clustering-based maneuvering object tracking algorithm of particle filtering

The invention relates to a mean-shift-clustering-based maneuvering object tracking algorithm of particle filtering. With a feature space method of Mean shift, clustering of a particle set is calculated adaptively and thus the cluster of the particle set can be determined accurately and adaptively without initializing a clustering center and the clustering number; and a target is expressed precisely by the cluster. When target probability density estimation and similarity measurement is carried out, position information of a pixel point is described by using a kernel function; target probability estimation is carried out by combining the position information of the pixel point and spatial information; and a target template is described precisely, so that the target tracking precision is enhanced. When a particle filtering tracking result is determined, a certain weight value is assigned for a current tracking result probability model and the target template is updated so that the dynamic performance of the algorithm can be enhanced and the anti-interference capability of the tracking process can be improved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Target tracking method based on natural language information assistance

The invention provides a target tracking method based on natural language information assistance. The method comprises the steps: carrying out the description of visual features and natural language features of an image, and extracting the visual features of a target and a candidate region and the natural language features for describing the target; constructing a visual tracking model based on the initial visual features, and constructing a natural language response model based on the initial natural language tracking model; and determining a response of the visual feature by using the imagefeature detector fused with the multi-layer features, and detecting the candidate image by using the natural language feature detector while acquiring a response of the candidate image to the naturallanguage feature. According to the method, the advantages of natural language information and visual information are combined, high-level semantic features provided by a natural language are used forassisting visual features, and target tracking is more stable.
Owner:深圳龙岗智能视听研究院

Shooting equipment stabilizer

The invention relates to a shooting equipment stabilizer. The shooting equipment stabilizer comprises a clamping part, an object tracking part and a control part, the object tracking part is fixedly connected to shooting equipment through the clamping part; the distance between the object tracking part and a camera of the shooting equipment is smaller than or equal to a preset distance threshold,and the orientation of the object tracking part is consistent with the orientation of the camera; and network connection is established between the control part and the object tracking part. The object tracking part is used for acquiring detection information of the orientation position, and sends a tracking movement instruction to the control part through network connection according to positioninformation when the position information of a target object is acquired according to the detection information; and the control part is used for carrying out position adjustment control according tothe position information when receiving the tracking movement instruction so as to enable a camera of the shooting equipment to face the target object. The object tracking part can adjust the orientation of the camera by interacting with the control part, target tracking is achieved, the object tracking part does not need to be matched with a specific APP, and the efficiency of target tracking canbe effectively improved.
Owner:HOHEM TECH

Tracking control method and device, object tracking component and storage medium

The invention relates to a tracking control method and device, an object tracking component and a storage medium. The method is applied to an object tracking component of a shooting equipment stabilizer. The distance between the object tracking component and a camera of the shooting equipment is smaller than or equal to a preset distance threshold, and the object tracking component is consistent with the camera in orientation. The method comprises the following steps of: acquiring detection information of the orientation position to obtain first detection information; when it is determined that first feature recognition information of a target object exists according to the first detection information, obtaining position information of the target object; and sending a tracking movement instruction to a control component according to the position information, and triggering the control component to perform position adjustment control according to the position information, so as to enable the camera of the shooting equipment to face the target object. According to the scheme, the object tracking component can adjust the orientation of the camera by interacting with the control component, target tracking is achieved, the object tracking component does not need to be matched with a specific APP, and the target tracking efficiency can be effectively improved.
Owner:HOHEM TECH

Tracking control method and device, object tracking component and storage medium

The invention relates to a tracking control method and device, an object tracking component and a storage medium. The method is applied to an object tracking component of a photographing equipment stabilizer. The distance between the object tracking component and a camera of the shooting equipment is smaller than or equal to a preset distance threshold value and is consistent with the camera in orientation; the method comprises the following steps: acquiring detection information of a facing position to obtain first detection information; when it is determined that the first feature recognition information of the target object exists according to the first detection information, position information of the target object is obtained; and a tracking movement instruction is sent to a control component according to the position information, and the control component is triggered to perform position adjustment control according to the position information, so that a camera of the shooting equipment faces the target object. According to the scheme, the object tracking component can adjust the orientation of the camera through interaction with the control component, target tracking is achieved, cooperation with a specific APP is not needed, and the target tracking efficiency can be effectively improved.
Owner:HOHEM TECH

Monitoring method and system

The invention provides a monitoring method and system, and relates to the video monitoring field. The method includes obtaining the electronic identity mark of a target being tracked in monitoring images according to the association relationship of the monitoring images and electronic identity mark detection data; and obtaining the position of the target being tracked according to the electronic identity mark detection data and the electronic identity mark. The electronic identity mark of the target being tracked can be obtained by utilizing the association relationship of the monitoring images and the electronic identity mark detection data, and therefore, target tracking can be achieved by positioning the position of the electronic identity mark, artificial investigation of monitoring video images shot by multiple cameras is not need, and target tracking efficiency can be enhanced.
Owner:CHINA TELECOM CORP LTD

Proportional guidance method and artificial potential field method combined path planning method suitable for dynamic target tracking

The invention discloses a path planning method suitable for dynamic target tracking and combining a proportional guidance method and an artificial potential field method, and relates to the technical field of mobile robot path planning. The method is used for solving the problem that the tracking efficiency is not high due to the fact that the obstacle avoidance requirement in the dynamic target tracking process is not considered in an existing path planning method. The method comprises the steps: according to the positions of a mobile robot, acquiring a to-be-tracked target and an obstacle, the first movement speed expected direction of each step of the mobile robot through calculation based on a proportional guidance method; calculating and obtaining a second movement speed expected direction of each step of the mobile robot based on an artificial potential field method; performing fusing computing on the first movement speed expected direction and the second movement speed expected direction to obtain the actual movement direction of each step of the mobile robot; and dynamically updating the planned path according to the path planning step length and the actual motion direction. Therefore, the target tracking efficiency is improved, meanwhile, the good obstacle avoidance performance is guaranteed, and the method has the high engineering application value.
Owner:HARBIN INST OF TECH

Target tracking method based on cost-sensitive structured SVM

The invention discloses a target tracking method based on a cost-sensitive structured SVM. The method comprises the following steps: firstly, establishing a cost-sensitive structured SVM model for target tracking, and converting the cost-sensitive structured SVM model into a dual problem according to a Lagrange multiplier method; then solving the cost-sensitive structured SVM model by adopting a dual coordinate descent principle, and estimating the state of the target; and finally, performing evaluation by adopting a multi-scale target tracking method, and selecting the maximum response as a tracking result. According to the target tracking method based on the structured SVM, the problem that ease pair and hard pair are unbalanced in an existing target tracking method based on the structured SVM is solved, and the accuracy and success rate of a target tracking algorithm based on the structured SVM are improved.
Owner:中国人民解放军陆军炮兵防空兵学院

Infrared image generation method, device and equipment and infrared thermal imaging system

The invention discloses an infrared image generation method. The method comprises the steps of obtaining processed pixel data output by an infrared focal plane detector; determining a first mean valuematrix of the processed pixel data in the row direction and a second mean value matrix of the processed pixel data in the column direction; obtaining processed Dummy pixel data output by the infraredfocal plane detector; determining a third mean value matrix of the processed Dummy pixel data in the row direction and a fourth mean value matrix of the processed Dummy pixel data in the column direction; and generating an infrared image according to first array data determined by the processed pixel data, the first mean value matrix and the third mean value matrix and second array data determined by the processed pixel data, the second mean value matrix and the fourth mean value matrix. The method is convenient to implement, occupies few logic resources, is low in power consumption, and further improves the infrared image quality. Transverse and column line noises with relatively large amplitudes can be removed; and the data delay is small, and the pixel data output by the infrared detector is directly processed without depending on the effect of non-uniformity correction.
Owner:IRAY TECH CO LTD

Image processing method, device and server

The embodiment of the invention discloses an image processing method, device and server, which are used to improve the coincidence degree of a target frame and a foreground target. In the embodiment of the present invention, first obtain the input frame and the background frame, then determine the row or column to be cut in the target frame, calculate the gradient difference matrix of the input frame and the background frame in the row or column to be cut, and calculate the gradient difference matrix The average value of the gradient difference, judge whether the average value is less than the gradient comparison value, if it is less than, cut off the position to be cut from the target frame. In the embodiment of the present invention, the similarity between the input frame and the background frame is used as the basis for cutting the target frame, and the average value of the gradient difference value of the row or column in the target frame of the input frame and the background frame is respectively calculated as a comparison feature, and compared with the gradient comparison value , so as to judge whether the current row or column is a real foreground target, if not, cut off the current row or column from the target frame. In this way, the target frame can be effectively corrected, and the coincidence between the target frame and the foreground target can be improved.
Owner:HUAWEI TECH CO LTD

Vehicle-mounted target tracker convenient to install and based on computer vision

A computer vision-based vehicle-mounted target tracker convenient to install disclosed by the present invention comprises an installation adjustment platform and a target tracking device, the target tracking device is installed on a vehicle through the installation adjustment platform, and the installation adjustment platform comprises a first installation platform, a second installation platform and an adjusting mechanism. The adjusting mechanism is used for driving the first installation platform and the second installation platform to perform position adjustment, the target tracking device comprises a camera module, an information processing module and a display alarm module, the information processing module is used for analyzing and processing information sent by the camera module and then sending the information to the display alarm module for display, and the display alarm module is controlled to give an alarm. According to the invention, the target tracking device is installed through the installation adjustment platform, so that the target tracking device is convenient to disassemble and install, and meanwhile, the target tracking device tracks the target in real time according to the video information of a to-be-tracked target, so that the target tracking efficiency can be improved.
Owner:温州大学大数据与信息技术研究院

A method and monitoring system for target motion trajectory analysis

The invention relates to the technical field of video monitoring, and provides a target motion trail analysis method relating to two or more monitoring videos which can be invoked by a control center. The target motion trail analysis method comprises the following steps: confirming the first monitoring video in which a target appears; obtaining first time-space information and first target characteristics of the target according to the first monitoring video; confirming one or more monitoring videos taken around a first position; obtaining various object characteristics in the confirmed one or more monitoring videos, and confirming the second monitoring video from which the object characteristics obtained are matched with the first target characteristics with a similarity exceeding a preset threshold value; confirming the motion trail of the target according to second time-space information carried by the second monitoring video and the obtained first time-space information. The target motion trail analysis method has the advantages that the big data analysis function of cloud computing can be utilized for confirming the motion rail of the target in a plurality of monitoring videos, so that the target tracking efficiency is improved.
Owner:武汉众智数字技术有限公司

Target tracking method and device, electronic equipment and storage medium

The invention provides a target tracking method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target position selected by a user in a current image frame, and generating a first target frame selected by the user with the target position as a center; detecting in the current image frame based on a detection algorithm to obtain a detection frame; calculating the overlapping degree between the detection frames and the first target frame, and taking the detection frame with the highest overlapping degree as a second target frame where the target is located; and determining an area where a target in the current image frame is located based on the second target frame. According to the embodiment of the invention, the target tracking efficiency can be improved.
Owner:ZEROTECH (SHENZHEN) INTELLIGENCE ROBOT CO LTD

Tracking control method, device, object tracking component and storage medium

The present application relates to a tracking control method, device, object tracking component and storage medium. The method is applied to the object tracking component of the stabilizer of the shooting device; the distance between the object tracking component and the camera of the shooting device is less than or equal to a preset distance threshold, and is consistent with the orientation of the camera; the method includes: acquiring detection information of the facing position, Obtain the first detection information; when it is determined according to the first detection information that there is the first characteristic identification information of the target object, obtain the position information of the target object; send a tracking movement instruction to the control component according to the position information, and trigger the control component to perform position detection according to the position information. Adjust the controls so that the capture device's camera is facing the subject of interest. The object tracking part of the above solution can adjust the orientation of the camera by interacting with the control part to realize target tracking, and does not need to cooperate with a specific APP, which can effectively improve the efficiency of target tracking.
Owner:HOHEM TECH
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