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46results about How to "Suitable for real-time processing" patented technology
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Method for carrying out blind source separation on convolutionary aliasing voice signals
InactiveCN101667425AImprove performanceImprove convergence efficiencySpeech recognitionPhonetic environmentComputation complexity
The invention provides a method for carrying out blind source separation on convolutionary aliasing voice signals. Firstly, a time domain convolutionary aliasing model is converted into a frequency domain multi-channel linear instantaneous convolutionary aliasing model, which can be realized by the following steps: firstly, converting convolutionary aliasing time domain signals into a frequency domain; then carrying out relatively independent ICA operations on each channel to obtain independent components. Next, the independent components are rearranged by an MSBR algorithm, which specificallycomprising the following steps: firstly, classifying signals of different frequency bands; then progressively obtaining transposed matrixes according to different object functions step by step, wherein the steps of rearrangement are mutually complementary. The MSBR algorithm utilizes the strong relevance of harmonic frequency to improve the iteration accuracy and solves the residual uncertainty of residual frequency bands according to the continuity of adjacent frequency bands and corresponding reference frequencies, and the computational complexity of the MSBR algorithm is approximately in direct proportion to the number of reference frequency bands. The invention improves the convergence efficiency and the accuracy, is more suitable for real-time processing, has good separation performance of convolutionary mixed voice signals and can also be applied to real phonetic environment.
Owner:SHANDONG UNIV
Videotracking
InactiveUS20100278386A1Avoid disadvantagesEffort controlImage enhancementTelevision system detailsTemplate matchingVideo tracking
A method for tracking an object in a sequence of video frames includes the following steps: creating a model with characteristic features for the object to be tracked; and performing a template matching algorithm in individual frames on the basis of the created model for determining a position of the object in the respective frame. An apparatus arrangement for performing the method includes at least one video camera (10, 12), at least one monitor (24, 26), one computer (20) and one input device (28) for an observer (22).
Owner:DELTATRE
Mobile platform ground movement object detection method
ActiveCN102184550ASolve the background compensation problemImprove robustnessImage analysisFrame differenceMorphological processing
The invention discloses a mobile platform ground movement object detection method including the steps as follows: (1) respectively calculating SWIFT characteristic description of a (n-m)th frame image, an nth frame image and a (n+m)th frame image of an image sequence; (2) by taking the nth frame image as a reference, respectively registering the (n-m)th frame image and the (n+m)th frame image to obtain registration images; (3) respectively conducting space multiscale movement significance tests on the two registration images with the nth frame image; (4) calculating a difference absolute value image of the nth frame image and the (n-m)th frame registration image, and the difference absolute value image of the nth frame image and the (n+m)th frame registration image; (5) respectively calculating a difference image of the (n-m)th frame and the nth frame as well as a difference image of the nth frame and the (n+m)th frame; (6) mixing the two difference images to obtain a three-frame difference image and then conducting binaryzation; and (7) conducting morphological processing on a binary segmented image and then conducting region marking so as to obtain a final detection result image. The mobile platform ground movement object detection method solves the background compensation problem under the condition of a moving platform and has very good robustness on the light change and background interference in a scene as well as image deformation caused by platform movement.
Owner:HUAZHONG UNIV OF SCI & TECH
Automobile video frequency discrimination speed-testing method
InactiveCN101105893AImprove accuracyReduce reflective effectRoad vehicles traffic controlCharacter and pattern recognitionLight reflectionComputer science
The invention discloses a vehicle video identification and speed measuring method. The concrete steps are as follows: (a). obtain a vehicle picture; (b). search the partial threshold value of vehicle license plate on the vehicle picture to obtain the license picture; (c). redress the inclination of the license picture; (d). search the frame of the license plate on the redressed picture and calculate the height of characters; (e). standardize characters on the license plate to obtain a number of partial blocks; (f). carry out the binary system for the partial blocks of each character to obtain two-digit pictures; (g). identify characters on the two-digit pictures to obtain characters on the license plate; (h). track the moving route of the license plate through results of step b and d; (i). calculate the moving distance of the vehicle body; and (j). calculate the running speed. The invention has the advantages of high precision of identifying vehicle licenses and low impact on light reflection of license plate, easy realization, and high practical value.
Owner:SHENYANG JIANGLONG SOFTWARE DEV TECH
Tumble detection method for human body based on three-axis acceleration sensor
The invention discloses a tumble detection method for a human body based on a three-axis acceleration sensor, which acquires human body three-dimensional acceleration signals through the three-axis acceleration sensor. The method adopts the three-axis acceleration sensor to acquire the acceleration signals of the human body in three directions, adopts two characteristic quantities of SVM and SMA to detect the tumble of the human body. The method comprises the following particular steps: 1) acquiring acceleration data of the human body; 2) performing data preprocessing; 3) calculating SVM value; 4) performing SVM wavelet analysis; 5) detecting SVM detection, if the SVMs of a plurality of consecutively acquired sample points are larger than or equal to the threshold value th1, confirming the tumble of the human body initially, and entering step 6), otherwise, continuing step 5); 6) calculating SMA value, if the SMA is larger than or equal to the threshold value th2, entering step 7), otherwise, determining as suspicious tumble, returning to step 5); 7) if the SMAs of a plurality of consecutively acquired sample points is larger than or equal to the threshold value th2, confirming the occurrence of tumble finally and alarming, otherwise, determining as suspicious tumble, and returning to step 5).
Owner:SHANDONG NORMAL UNIV
Method for detecting crowded people flow in real time based on three-dimensional depth map data
InactiveCN104835147AReduce mutual occlusionLess occlusion phenomenonImage analysisVideo monitoringComputation complexity
The invention relates to a method for detecting a crowded people flow in real time based on three-dimensional depth map data. The method comprises the following steps: acquiring three-dimensional depth map data by using a camera; acquiring preliminary head targets by using foreground extraction and head target area detection; tracking pedestrians and recording the movement loci; and determining the number of the pedestrians and moving direction according to the movement loci. The method performs image processing on a three-dimensional depth map, effectively solves a defect of false detection in two-dimensional image data processing, improves the accuracy of people flow statistics, reduces computation complexity, may detect people flow in real time, and is suitable for intelligent video monitoring field.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
Sinus heart rate turbulence trend detection method based on piecewise linearization
InactiveCN103006210AReduce false positivesEasy to implementDiagnostic recording/measuringSensorsEcg signalVentricular contraction
The invention discloses a sinus heart rate turbulence trend detection method based on piecewise linearization. The piecewise linearization is adopted for specifically analyzing whether the variation trend of sinus heart rate accelerates first and then decelerates after premature ventricular contractions or not. The method includes the steps: (1) electrocardiosignal preprocessing; (2) self-learning process for first 10 seconds; (3) HRT (heart rate turbulence) sample collection; (4) piecewise trend analysis; and (5) turbulence trend representation based on a cloud model. The variation trend of the sinus heart rate at the RR interval is detected by means of piecewise linearization, and the turbulence trend is further represented by natural language through the cloud model. By the aid of an MATLAB (matrix laboratory) simulation tool, signals in an MIT-BIH heart beat irregularity database are selected for verification, and the variation trend of the sinus heart rate after single-time ventricular premature beat can be detected correctly. In addition, using the exponential smoothing method to predicate QRS complex occurrence positions to facilitate detection of QRS complex, and using a template for judging sinus heart beat is simple to implement and suitable for real-time treatment.
Owner:SHANDONG NORMAL UNIV
Data processing method and device based on rule engine, equipment and storage medium
PendingCN110297840ASuitable for offline processingSuitable for real-time processingDatabase distribution/replicationSpecial data processing applicationsData setData acquisition
The invention discloses a data processing method and device based on a rule engine, equipment and a storage medium. The data processing method comprises the following steps: receiving a data acquisition instruction comprising a processing target and a target data source, and acquiring a service data set from the target data source; preprocessing all the service data in the service data set according to a preset Sql processing rule to obtain a service data result set; calling a distributed computing engine to traverse the service data result set, and converting each group of service data in theservice data result set into a first object; determining a service rule set matching the processing target from a preset rule database; determining a service rule in the service rule set according tothe service data in the first object; and selecting a rule engine according to the service rule, calling the service rule through the selected rule engine to process the first object, and obtaining an output processing result. According to the data processing method based on a rule engine provided by the invention, the operation efficiency of non-professionals can be improved.
Owner:PING AN BANK CO LTD
On-board SAR image automatic target positioning method
InactiveCN101339244AAchieve absolute positioningIncrease computing speedRadio wave reradiation/reflectionOn boardSeries expansion
The invention relates to an airborne SAR image automatic target positioning method, which convert the coordinates of a target in the SAR image into an actual geographic coordinates of the target on the earth by utilizing the flight information (location, speed, etc.) of an aerial carrier and the SAR image information (resolution, center distance, central Doppler frequency, etc.). Based on a range-Doppler equation, the invention combines an earth model equation to carry out an target location, which not only can realize an absolute localization without a control point, but also considers the influence of the earth model on positioning accuracy; on the other hand, Taylor series expansion is used for carrying out the linearization of nonlinear equations; an iterative method is adopted to solve the equation, thus improving the positioning speed; meanwhile, the initial value point of an iterative computation is appropriately selected according to the operation mode of radar, thereby controlling a converging direction in the iteration and avoiding a target confusion. As a positioning method without the control point, the automatic target positioning method of the invention has the advantages of high accuracy and high speed, thereby being capable of carrying out a real-time processing and suitable to various airborne SAR systems.
Owner:BEIHANG UNIV
Method for identifying OFDM modulation system of multi-path Rayleigh fast fading channel
InactiveCN101083649AImprove recognition rateReduce complexityMulti-frequency code systemsRound complexityHigh probability
Using expressions of cumulant in second, fourth, and sixth orders of signal of passing through multipath Rayleigh fast fading channel (MRFFC), the method carries out combination in order to counteract the influence of multipath Rayleigh fading and Doppler shift. Concrete process includes steps: after mixing, oversampling, and orthogonal interpolating signals received, receiver obtains orthogonal plural sequence in mid frequency; calculating cumulant in second, fourth, and sixth orders; combining cumulant in fourth and second orders as well as sixth and second orders so as to obtain two types of eigenvalue; setting up threshold of the eigenvalue, comparing the two types of eigenvalue to the threshold so as to identify OFDM signal and single carrier signal. Comparing prior art, the invention possesses advantages of high probability of identification, low complexity, suitable to processing in real time. The invention is applicable to identifying OFDM modulation format in mid frequency.
Owner:XIDIAN UNIV
Amplitude-phase error correction method for MIMO radar transceiving array based on clutter
ActiveCN108459307AEffective estimateSmall amount of calculationWave based measurement systemsHat matrixRadar
The invention discloses an amplitude-phase error correction method for an MIMO radar transceiving array based on clutter, and mainly solves a problem that the detection performances of a radar are worsened because of the amplitude-phase inconsistency of array elements. The implementation process comprises the steps: constructing receiving, transmitting and transceiving combined guide vectors of aradar and a receiving guide vector and a transceiving combined guide vector of a radar receiving subarray; respectively calculating a projection matrix of the transceiving combined guide vectors of the radar and the radar receiving subarray; respectively constructing transmitting and receiving array error compensation coefficient cost functions through the projection matrix and the echo data, andsolving an optimal solution of each cost function; correcting the transmitting and receiving array guide vectors through transmitting and receiving array amplitude phase error matrixes, and achievingthe correction of the radar transceiving array. According to the invention, the number of information source targets does not need to be estimated, and the method just needs a single echo sample for effectively estimating the amplitude-phase error of the MIMO radar transceiving array. The method is simple in calculation burden, is low in complexity, and is suitable for the error correction and real-time processing of the MIMO radar transceiving array.
Owner:XIDIAN UNIV
Method for generating sound masking signal based on time reversal
InactiveCN102110441AGood masking effectReduce intelligibilitySpeech analysisSound producing devicesTime domainSound sources
The invention relates to a method for generating a sound masking signal based on time reversal. In the method, a corresponding sound masking signal is acquired according to a target sound source signal and has a long-time amplitude spectrum similar to that of the target sound source signal and extremely low speech intelligibility. The method comprises the following steps of: picking up the target sound source signal by using a microphone or a microphone array and performing preprocessing to acquire a clean target sound source signal; performing framing based on a specific time window length according to the acquired target sound source signal; and performing time reversal on a time domain of each frame of signal according to y(t)=x(-t) to acquire the sound masking signal corresponding to a target sound source, wherein x(t) represents a frame of signal, and the y(t) represents an output signal of the frame. The time reversal sound masking signal has the long-time amplitude spectrum similar to that of the target sound source signal; the method has advantages in energy masking; and the time reversal sound masking signal is completely unintelligible or is partially intelligible and cannot become a new interference sound source.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI
A real-time motion compensation method for ultra-wideband synthetic aperture radar
ActiveCN102288962ASimple compositionLow costRadio wave reradiation/reflectionUltra-widebandInformation processing
The invention provides a real-time motion compensation method for an ultra-wide band synthetic aperture radar (UWB SAR), which is characterized in that motion parameters output by a single-point global positioning system (GPS) are used for carrying out real-time motion compensation of the UWB SAR, the flight time is segmented according to Ta, when the current moment is a starting point of an imaging synthetic aperture, an imaging coordinate system is built, and if not, the next steps are carried out: step 1, eliminating the single-point GPS position jumping errors; step 2, calculating the transverse motion errors according to the single-point GPS positioning information; step 3, calculating the heading speed errors; and step 4, calculating the sight line direction motion errors and compensating the motion errors in the airborne UWB SAR sight line direction. In the method of the invention, the information processing is only carried out on the output data of a navigation system, the motion parameter evaluation does not need to be carried out, the storage space and the calculation quantity are saved, and the large-area imaging compensation precision is high. In addition, the cost is low, and the realization is easy.
Owner:NAT UNIV OF DEFENSE TECH
Quick recognizing method of binary image connected domain label
ActiveCN103605497ASuitable for real-time processingImprove performanceConcurrent instruction executionComputer scienceTime processing
The invention discloses a quick recognizing method of a binary image connected domain label, and relates to an image recognizing method used for crack recognizing, remote sensing image path extracting, remote sensing image shape target recognizing and the like. The quick recognizing method of the binary image connected domain label comprises the steps that S1 a CPU and a GPU are initialized; S2 an image is scanned; S3 scanned results are stored in a disk of a server environment; S4 merging processing is conducted on the scanned results; S5 whether the scanning is iteration scanning or not is judged, if yes, the step S6 is executed and otherwise the step S1 is repeated; S6 processing results are stored and the method ends. The quick recognizing method of the binary image connected domain label can improve the overall performance of a system and is applicable to real-time processing of large images, the scanning efficiency is high, and the method is simple and convenient and fast to implement.
Owner:LIUZHOU VOCATIONAL & TECHN COLLEGE
Image defogging method, FPGA and defogging system including FPGA
InactiveCN104732497ASuitable for real-time processingShorten defogging processing timeImage enhancementCustomer requirementsVideo image
The invention discloses an image defogging method. The method comprises the steps that a first original image is obtained through an image collecting device; an Idark dark passage of the first image is calculated based on the first original image; an overall situation atmospheric parameter A of the first original image is estimated by using the Idark dark passage; the atmospheric transmissivity t of the first original image is estimated based on the Idark dark passage and the overall situation atmospheric parameter A; fog in the original image is removed by using the overall situation atmospheric parameter A and the atmospheric transmissivity t, and a clear image J is obtained after defogging. The image defogging method can guarantee the normal and stable work of a system when a 30 frame-per-second video image is processed; the integration degree and the reliability of the system are high, and the performance is excellent; the design is flexible, the developing period is short, and the cost is low; the system can be maintained in a long term and can be updated in site, the design is conveniently improved according to customer requirements, and the circuit structure of the whole does not need to be changed.
Owner:BEIJING JIAOTONG UNIV
Quick identification method for binary image connected domain marker
InactiveCN104503731ASuitable for real-time processingImprove performanceConcurrent instruction executionComputer graphics (images)Computer vision
The invention discloses a quick identification method for a binary image connected domain marker. The quick identification method comprises the steps: initializing a CPU (central processing unit) and a GPU (graphics processing unit); scanning an image; storing scanning results in a magnetic disk of a server environment; combining the scanning results; judging whether iterative scanning exists, and storing a result to end the operation. The quick identification method has the advantages of capability of improving efficiency, suitability for parallelization and real-time processing of large images.
Owner:LIUZHOU VOCATIONAL & TECHN COLLEGE
Image processing method and image processor
ActiveCN104811631ASuitable for real-time processingTelevision system detailsColor television detailsImaging processingBrightness perception
The invention provides an image processing method and an image processor, and relates to the field of image processing. The algorithm is simple, the image matting effect is lightly affected by change of lighting, and the method is suitable for real-time processing of an image. The method comprises the following steps: acquiring a brightness component and a chrominance component of each pixel point in an input image; counting chrominance component values of pixel points of the input image and determining the color corresponding to the pixel points with the highest occurrence rate as background color of the input image; dividing a chrominance coordinate system into a foreground region, a background region and an unknown region according to the background color; determining whether each pixel point in the input image belongs to the foreground region, the background region or the unknown region; determining whether the pixel point belonging to the unknown region belongs to the foreground region or the background region.
Owner:MIGU CO LTD
Method and device for jointly estimating interference signal physical parameters
InactiveCN103516642AAccurate estimateImprove performanceTransmitter/receiver shaping networksFrequency compensationPhase shifted
The invention discloses a method for jointly estimating interference signal physical parameters. The method includes the following steps: receiving a composite signal, sampling the composite signal to obtain a discrete observation signal sample which comprises an interference signal and a useful signal, carrying out time delay compensation on a local signal with information same as information carried by the interference signal, estimating the frequency deviation of the interference signal, carrying out frequency compensation on the local signal after the time delay compensation according to the estimated frequency deviation, estimating the phase shift of the interference signal according to the local signal after the time delay compensation and the frequency compensation and the discrete observation signal sample, carrying out phase compensation on the local signal after the time delay compensation and the frequency compensation according to the estimated phase shift, and estimating the amplitude of the interference signal according to the local signal after the time delay compensation, the frequency compensation and the phase compensation and the discrete observation signal sample. The invention further relates to a device for jointly estimating the interference signal physical parameters.
Owner:RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
Online estimation method for state of charge (SOC) of battery based on NARX model
InactiveCN109782176AAccurate predictionImprove estimation accuracyElectrical testingMicrocontrollerEstimation methods
The invention discloses a method for estimating the state of charge (SOC) of a secondary battery. Modeling on dynamic characteristics of the different kinds of batteries is achieved by using the strong learning capacity of a non-linear auto-regressive exogenous neural network, and the state of charge of the battery is estimated on line based on the built model by using an extended Kalman filteringalgorithm. The process of modeling on the dynamic characteristics of the battery based on NARX is offline, and the SOC estimation is performed on line in real time. The instantaneity of SOC estimation is not affected by the training process of the model. According to the method provided by the invention, the accurate simulation of the dynamic characteristics of the battery can be achieved withouttoo much training set sample data, the accurate estimation of the battery SOC can be achieved; the method has the characteristics that the online estimation is small in calculated quantity, and the cheap digital processor can be used for operating, is applicable to the battery management system based on the low-cost microcontroller to predict the SOC of the battery, and has the advantages of realtime, high efficiency and low cost.
Owner:SHANGHAI JIAO TONG UNIV
Direct sequence spread spectrum signal interception detection method
ActiveCN105959035AReduce difficultyReduce risk of gain reductionTransmissionPrior informationSelf correlation
The invention discloses a direct sequence spread spectrum signal interception detection method. The method comprises the steps of 1, obtaining a data sequence x (n); 2, obtaining a self-correlation sequence r (m); 3, smoothing the r (m); 4, setting a search step j; 5, estimating an accumulation amount C (j); 6, searching the maximum value C (jmax) of the accumulation amount C (j); and 7, carrying out detection judgment and pseudo code cycle estimation. According to the detection method provided by the invention, the direct sequence spread spectrum signal interception detection can be realized only by use of the one-time self-correlation estimation result; through accumulation of correlation peaks of the self-correlation sequence and step variable search, the processing gain is improved; the influence of information codes is reduced; the detection performance is improved; the process is simple; and the prior information is unnecessary.
Owner:SOUTHEAST UNIV
Image data interpolation method and device, storage medium and terminal
ActiveCN111294545AHigh-resolutionImprove performanceDigital video signal modificationConversion involving interpolation processesTime domainComputer graphics (images)
The invention discloses an image data interpolation method and device, a storage medium and a terminal, and the method comprises the steps: carrying out the interlaced scanning of input image data, soas to obtain a plurality of fields arranged according to a time sequence, and each field comprising a plurality of to-be-interpolated points and a plurality of pixel points; for the current to-be-interpolated point in each field, calculating by adopting a time domain interpolation method to obtain a predicted pixel value of the current to-be-interpolated point; determining a pixel value of a first pixel point adjacent to the current to-be-interpolated point, the horizontal coordinate of the first pixel point being the same as the horizontal coordinate of the current to-be-interpolated point,and the first pixel point and the current to-be-interpolated point being located in the same field; at least performing difference detection on the predicted pixel value of the current to-be-interpolated point and the pixel value of the first pixel point to obtain a difference detection result; and when the difference detection result exceeds a first preset threshold, determining the pixel value of the current to-be-interpolated point by adopting a spatial interpolation method. According to the technical scheme provided by the invention, the interpolation accuracy can be improved, and the performance of the de-interleaving algorithm is improved.
Owner:SPREADTRUM COMM (SHANGHAI) CO LTD
Target detection method under condition of low signal-to-noise ratio based on probability statistics
ActiveCN108508413AImprove object detection performanceReduce signal to noise ratioRadio wave reradiation/reflectionRadar signal processingSignal-to-quantization-noise ratio
The invention belongs to the technical field of radar signal processing, and particularly relates to a target detection method under the condition of a low signal-to-noise ratio based on probability statistics. According to the invention, the single pulse within the observation time is taken as a processing object, an interested observation region is covered by adopting a simultaneous multi-beam method, a target echo envelope is obtained through performing pulse compression on all pulse echoes within the observation region, then echo envelope detection frequencies of different azimuth units and distance units are counted and recorded after performing constant false alarm detection on the echo envelope, and finally a probability histogram is drawn, and detection and judgment are performed according to the threshold-exceeding frequency distribution of the different azimuth units and distance units so as to complete the target detection process. The method provided by the invention is notonly suitable for single-pulse target detection under the low signal-to-noise ratio, but also can serve as an auxiliary detection means for non-ideal target detection after long-time accumulation ofmultiple pulses. The method provided by the invention is small in data processing amount, meets real-time processing requirements of a hardware platform and is suitable for engineering implementation.
Owner:NAT UNIV OF DEFENSE TECH
Automobile video frequency discrimination speed-testing method
InactiveCN100452110CImprove accuracyReduce reflective effectRoad vehicles traffic controlCharacter and pattern recognitionLight reflectionComputer science
The invention discloses a vehicle video identification and speed measuring method. The concrete steps are as follows: (a). obtain a vehicle picture; (b). search the partial threshold value of vehicle license plate on the vehicle picture to obtain the license picture; (c). redress the inclination of the license picture; (d). search the frame of the license plate on the redressed picture and calculate the height of characters; (e). standardize characters on the license plate to obtain a number of partial blocks; (f). carry out the binary system for the partial blocks of each character to obtain two-digit pictures; (g). identify characters on the two-digit pictures to obtain characters on the license plate; (h). track the moving route of the license plate through results of step b and d; (i). calculate the moving distance of the vehicle body; and (j). calculate the running speed. The invention has the advantages of high precision of identifying vehicle licenses and low impact on light reflection of license plate, easy realization, and high practical value.
Owner:SHENYANG JIANGLONG SOFTWARE DEV TECH
Mobile platform ground movement object detection method
ActiveCN102184550BSolve the background compensation problemImprove robustnessImage analysisFrame differenceMorphological processing
The invention discloses a mobile platform ground movement object detection method including the steps as follows: (1) respectively calculating SWIFT characteristic description of a (n-m)th frame image, an nth frame image and a (n+m)th frame image of an image sequence; (2) by taking the nth frame image as a reference, respectively registering the (n-m)th frame image and the (n+m)th frame image to obtain registration images; (3) respectively conducting space multiscale movement significance tests on the two registration images with the nth frame image; (4) calculating a difference absolute value image of the nth frame image and the (n-m)th frame registration image, and the difference absolute value image of the nth frame image and the (n+m)th frame registration image; (5) respectively calculating a difference image of the (n-m)th frame and the nth frame as well as a difference image of the nth frame and the (n+m)th frame; (6) mixing the two difference images to obtain a three-frame difference image and then conducting binaryzation; and (7) conducting morphological processing on a binary segmented image and then conducting region marking so as to obtain a final detection result image. The mobile platform ground movement object detection method solves the background compensation problem under the condition of a moving platform and has very good robustness on the light change and background interference in a scene as well as image deformation caused by platform movement.
Owner:HUAZHONG UNIV OF SCI & TECH
Human fall detection method based on triaxial acceleration sensor
The invention discloses a tumble detection method for a human body based on a three-axis acceleration sensor, which acquires human body three-dimensional acceleration signals through the three-axis acceleration sensor. The method adopts the three-axis acceleration sensor to acquire the acceleration signals of the human body in three directions, adopts two characteristic quantities of SVM and SMA to detect the tumble of the human body. The method comprises the following particular steps: 1) acquiring acceleration data of the human body; 2) performing data preprocessing; 3) calculating SVM value; 4) performing SVM wavelet analysis; 5) detecting SVM detection, if the SVMs of a plurality of consecutively acquired sample points are larger than or equal to the threshold value th1, confirming the tumble of the human body initially, and entering step 6), otherwise, continuing step 5); 6) calculating SMA value, if the SMA is larger than or equal to the threshold value th2, entering step 7), otherwise, determining as suspicious tumble, returning to step 5); 7) if the SMAs of a plurality of consecutively acquired sample points is larger than or equal to the threshold value th2, confirming the occurrence of tumble finally and alarming, otherwise, determining as suspicious tumble, and returning to step 5).
Owner:SHANDONG NORMAL UNIV
Method of implementing multi-input multi-output orthogonal frequency division multiplexing system time synchronization
InactiveCN101163124BLower the thresholdAvoid omissionsMulti-frequency code systemsMulti inputSignal-to-noise ratio (imaging)
The invention discloses a time synchronous method of implementing multiple-input and multiple-output orthogonal frequency division multiplexing (OFDM) system, which includes that: a sending end constructs pilot or synchronous symbols in the process of assembling frames. After framing, the antennas launch symbols and simultaneously launch a lead code with a special structure. The lead code is a repeated reference signal, preceding CP. The invention makes use of reference signals and receiving signals to achieve sliding correlation, sets threshold, and records the size and position of amplitudevalue belonging to correlation value exceeding the threshold in the sequence. The sequence removes pseudo-multi path, determines the number and position of true multi path and conforms signal noise ratio by utilizing the identified numbers and location of multi path, and then chooses the largest one as the main path and determines the location of precise synchronization position. In no less than the precision of the existing synchronous method, the method of the invention improves operation speed; the invention has the advantages of small time synchronization error and less operation. In addition, the method need not have two-step of rough and precise synchronization, which can directly get time synchronous error. The invention is very suitable for real-time processing.
Owner:ZTE CORP
A method of target detection under low signal-to-noise ratio based on probability and statistics
ActiveCN108508413BImprove object detection performanceReduce signal to noise ratioRadio wave reradiation/reflectionAlgorithmEnvelope (radar)
Owner:NAT UNIV OF DEFENSE TECH
Multi-target data fusion method and system based on hydroacoustic sensor network
InactiveCN102833882BSimple calculationSuitable for real-time processingNetwork topologiesReal time signal processingRemote sensing
The invention provides a multi-target data fusion method and system based on a hydroacoustic sensor network. The multi-target data fusion method comprises the following steps: (101) arranging a plurality of collecting nodes of the hydroacoustic sensor network in an observation area, arranging N collecting nodes in a water area, obtaining the azimuth information of a plurality of target elements, and transmitting the obtained azimuth information of the target elements to a main node, the N collecting nodes adopts line array hydrophones or vector hydrophones as detection parts, and the detection parts can process signals in real time, and the azimuth information of the target elements is observed by each collecting node in the observation area; and (102) fusing the data of the azimuth information of the target elements by the main node: associating data by the main node according to the azimuth information of the target elements and the information data of the targets stored in the main node by adopting the data associating strategy, and tracking and positioning the multiple targets to finish the track initiating, maintaining and deleting of the multiple targets.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI
A Fast Recognition Method of Connected Domain Labels in Binary Images
ActiveCN103605497BSuitable for real-time processingImprove performanceConcurrent instruction executionGoal recognitionComputer science
The invention discloses a quick recognizing method of a binary image connected domain label, and relates to an image recognizing method used for crack recognizing, remote sensing image path extracting, remote sensing image shape target recognizing and the like. The quick recognizing method of the binary image connected domain label comprises the steps that S1 a CPU and a GPU are initialized; S2 an image is scanned; S3 scanned results are stored in a disk of a server environment; S4 merging processing is conducted on the scanned results; S5 whether the scanning is iteration scanning or not is judged, if yes, the step S6 is executed and otherwise the step S1 is repeated; S6 processing results are stored and the method ends. The quick recognizing method of the binary image connected domain label can improve the overall performance of a system and is applicable to real-time processing of large images, the scanning efficiency is high, and the method is simple and convenient and fast to implement.
Owner:LIUZHOU VOCATIONAL & TECHN COLLEGE
Amplitude and phase error correction method of mimo radar transceiver array based on clutter
ActiveCN108459307BPerformance is not affectedReduce complexityWave based measurement systemsTransceiverArray element
The invention discloses a clutter-based MIMO radar transceiver array amplitude and phase error correction method, which mainly solves the problem that the radar detection performance decreases due to the inconsistency of the array element amplitude and phase. The realization process includes: constructing the receiving, transmitting and transmitting and receiving joint steering vectors of the radar and the receiving and transmitting joint steering vectors of the radar receiving sub-array; respectively calculating the projection matrix of the receiving and transmitting joint steering vectors of the radar and the radar receiving sub-array; using the projection matrix and echo data respectively to construct the cost function of transmitting and receiving array error compensation coefficients and find the optimal solution of each cost function; use the transmitting and receiving array amplitude and phase error matrix to correct the transmitting and receiving array steering vectors to realize the radar transmitting and receiving array amplitude and phase error correction. The invention does not need to estimate the number of signal sources and targets, and only needs a single echo sample to effectively estimate the amplitude and phase error of the MIMO radar transceiver array, with small calculation amount and low complexity, and is suitable for real-time processing of MIMO radar transceiver array error correction.
Owner:XIDIAN UNIV
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