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40results about How to "Improve target detection rate" patented technology
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Target candidate region extraction method based on image background mask
InactiveCN108648197AImprove target detection rateImage enhancementImage analysisPattern recognitionData set
The invention relates to a target candidate region extraction method based on an image background mask, comprising the following steps: (1) constructing an image background mask data set; (2) buildinga GAN model, and adding a background mask for an image by adopting a GAN training way; (3) defining a loss function, namely enabling a generated picture and a trained target picture to be similar tothe utmost extent when a detail part of high-frequency structural information in the image is processed, and defining the loss function to be a combination of a GAN target function and one-norm distance loss of a composite image; and (4) carrying out model training.
Owner:TIANJIN UNIV
Method for identifying and detecting abnormal behaviors in transformer substation based on artificial intelligence in complex scene
PendingCN111339883AMeet practical application needsEasy to identifyCharacter and pattern recognitionNeural architecturesPattern recognitionHuman body
The invention discloses a method for identifying and detecting abnormal behaviors in a transformer substation based on artificial intelligence in a complex scene. The method comprises the following steps: processing a monitoring video to obtain a static graph; detecting a human body region by using a target detection algorithm FPN network based on deep learning; preprocessing the to-be-identifiedimage to generate a binary image; taking the binarized image as the input of a CPN network to detect the key points of the human skeleton; fusing the human skeleton key point image with the RGB single-frame static image, inputting the fused image into an LSTM network for classification and identification, and judging whether the behavior is an abnormal behavior or not. According to the invention,automatic detection and identification tasks of abnormal behaviors of the working area of the transformer substation in a complex scene are realized, and the method has good accuracy, stability and real-time performance, and can meet the actual application requirements of the transformer substation.
Owner:STATE GRID ZHEJIANG ELECTRIC POWER +3
A method and apparatus for detecting infrared dim small targets under a complex background
InactiveCN109003277AReduce noise interferenceEnhance target signal-to-noise ratioImage enhancementImage analysisFilter algorithmBilateral filter
The invention relates to a method and apparatus for detecting infrared dim small targets under a complex background, belonging to the technical field of infrared target detection. At first, the invention adopts a bilateral filtering algorithm to preprocess the single-frame infrared images in an image sequence successively, so as to reduce noise interference in the image and enhance the signal-to-noise ratio at the target; then, a single-frame infrared target detection algorithm based on block extremum is used to detect the potential candidate target sets in each preprocessed image frame by frame; based on the spatio-temporal continuity of small targets in multi-frame images, a pipeline filtering algorithm is used to identify the possible real targets in the candidate target set; finally the false alarm removal strategy is used to eliminate the false target and finally confirm the true target. Through the process, the invention overcomes the shortcomings of weakening target intensity, blurring edge, enlarging contour and the like brought by the prior infrared image processing technology, and can better retain and enhance the dim small target information, improve the target detectionrate, and reduce the missed detection rate and false alarm rate of the target.
Owner:LUOYANG INST OF ELECTRO OPTICAL EQUIP OF AVIC
Detecting and tracking method, device and equipment of target object in video
ActiveCN108320296ASmall amount of calculationImprove target detection rateImage enhancementImage analysisFrame basedFeature mapping
The invention discloses a detecting and tracking method, device and equipment of a target object in a video. The method comprises a step of inputting a continuous video frame into a convolutional neural network obtained by training in advance, wherein the convolutional neural network at least comprises a set number of shared convolutional layers and region proposal network layers, a step of extracting features of the continuous video frames by using the shared convolutional layers to obtain feature mapping maps corresponding to different video frames, a step of determines a target area associated with the target object according to the feature mapping maps by using the region proposal network layers, and a step of detecting the position and running trajectory of the target object in the continuous video frames based on the target area. According to the method, the detection and tracking are unified by using a convolutional neural network model, the amount of calculation is reduced, theproblem of detecting multiple poses and multiple angles of view of the target can be solved, the target detection rate is improved, and the false detection rate is reduced.
Owner:ENNEW DIGITAL TECH CO LTD
Target tracking and intrusion detection method and device and storage medium
ActiveCN110807377AImprove target detection rateImprove robustnessImage enhancementImage analysisMulti target trackingThresholding
The invention discloses a target tracking and intrusion detection method and device and a storage medium. The target tracking method comprises the following steps: acquiring a plurality of targets andinformation of each target in a current image frame based on a CNN detection algorithm, and acquiring a foreground image of the current image frame based on a motion detection algorithm; based on theforeground image, obtaining a moving object of which the confidence is less than a preset first threshold value from the plurality of objects; carrying out first information matching on the moving object with the confidence coefficient smaller than a preset first threshold value and the moving object pool updated by the previous image frame to obtain a first object, wherein the first object is the moving object with the confidence coefficient smaller than the preset first threshold value and successfully matched with the first information; and finally, obtaining a target trajectory of the current image frame based on a multi-target tracking algorithm and a second target of the current image frame, wherein the second target comprises the first target and a target of which the confidence isgreater than or equal to a preset first threshold in the current image frame. By means of the mode, the target detection rate is increased, and missing detection is reduced.
Owner:ZHEJIANG DAHUA TECH CO LTD
Improved SSD dual-network examination room examinee position rapid detection method
ActiveCN110378232AIncrease the number of positive samplesImprove featuresImage analysisData processing applicationsData setSimulation
The invention discloses an improved SSD dual-network examination room examinee position rapid detection method. The method comprises the steps of image preprocessing, construction of a dynamic threshold SSD network, construction of an up-sampling SSD network, training of improved SSD dual networks and testing of a test sample image. On the basis of an SSD network structure, according to the characteristics of examinee data sets in an examination room, a method for dynamically adjusting an intersection-parallel ratio threshold value is constructed, the positive sample size of small targets in the SSD network is increased, an up-sampling layer is added into the SSD network, the image characteristics of the small targets are enhanced, and the image target detection rate is improved in combination with the thought of a parallel dual-network structure. Compared with the prior art, the method has the advantages of good robustness, high accuracy and the like, and is suitable for detecting examinees and invigilating teachers in an examination scene.
Owner:SHAANXI NORMAL UNIV
Vehicle detection method based on linear sound and vibration sensor array
InactiveCN103531028AOptimize layoutCharacteristic signal stableRoad vehicles traffic controlSensor arrayEngineering
The invention provides a vehicle detection method based on a linear sound and vibration sensor array. The method comprises the following steps that 1, a sensor array is distributed and arranged; 2, the short time energy enveloping line of array signals is calculated; 3, the enveloping line of the sensor array signals are subjected to deviation overlapping; 4, interference signals and mistake correlation signals are deleted; 5, the vehicle signal detection and speed detection and the like are carried out. The similarity of the enveloping lines on the sensor array and the relevance between the speed and direction of the vehicle target are utilized, the sound or vibration signals can be singly adopted for carrying out vehicle detection, and the sound and vibration signals can be adopted in a combined way for detection.
Owner:NORTHWEST INST OF NUCLEAR TECH
Microscopic examination identification method and apparatus
ActiveCN105067520AImprove microscopy efficiencyImprove target detection rateMaterial analysis by optical meansSample imageMicroscopic exam
The invention discloses a microscopic examination identification method. According to the method, a low-power objective is used for low magnification of a to-be-detected sample, then a to-be-detected target is searched in a first set of sample images obtained after low magnification, and the target position of the found to-be-detected target is determined; and then a high-power objective is used for high magnification of the target position of the found to-be-detected target, a second set of sample images obtained after high magnification are collected, the to-be-detected target in the second set of sample images is identified, and thus, the to-be-detected target found out in the first set of sample images can be accurately positioned and the to-be-detected target in the second set of sample images can be identified. The high-power objective can directly and accurately locate and acquire a target image, so microscopic examination efficiency is improved, leak detection of targets can be reduced, and the detection rate of targets can be enhanced.
Owner:AVE SCI & TECH CO LTD
Node duty ratio self-adaptive setting method for efficient target monitoring
InactiveCN105682201AExtend your lifeDoes not affect lifePower managementNetwork traffic/resource managementEngineeringSelf adaptive
The invention discloses a node duty ratio self-adaptive setting method for efficient target monitoring. The method comprises the following steps: according to the distance condition between a node and a base station, a far base station adopting a large duty ratio, and a near base station adopting a small duty ratio. The residual energy at the far base station region is sufficiently utilized, and the duty ratio of the node in the far base station region is improved. The omission ratio and the detection delay in the target monitoring can be reduced when the perception duty ratio of the node is improved; and the transmission delay in the target monitoring can be reduced when the communication duty ration of the node is improved, thereby effectively improving the target monitoring quality, and improving the energy utilization rate of a sensor network.
Owner:CENT SOUTH UNIV
An SAR image ship target detection method based on superpixel statistical diversity
ActiveCN109886218AImprove target detection rateReduce false alarm rateCharacter and pattern recognitionHypothesisRadar
The invention belongs to the technical field of radars, and discloses an SAR image ship target detection method based on superpixel statistical diversity. The method comprises the steps of obtaining an SAR image to be detected, and performing super-pixel segmentation on the SAR image to obtain W super-pixels; secondly, based on a gamma distribution hypothesis, calculating a shape parameter and aninverse scale parameter of gamma distribution corresponding to each superpixel; calculating a global contrast value and a local contrast value of each superpixel, further calculating to obtain a TCR enhancement value corresponding to the superpixel, and taking the TCR enhancement value as an intensity value of each pixel point in the superpixel so as to obtain a TCR enhanced image; and finally, calculating a detection threshold T, and binarizing the TCR image to obtain a binary image corresponding to the TCR enhanced image. The TCR can be better improved on the basis of superpixel statistics diversity, so that a relatively high target detection rate can be realized at a relatively low false alarm rate, and the target detection performance is improved.
Owner:XIDIAN UNIV
Wide and narrow beam cooperative satellite-borne AIS message real-time receiving and processing system
The invention provides a wide and narrow beam cooperative satellite-borne AIS message real-time receiving and processing system, which comprises: a wide and narrow beam cooperative module, wherein a plurality of VHF frequency-band antennas form an antenna array, multiple wave beams form a network to enabling the antenna array to form a plurality of wide and narrow beams to receive AIS signals; anda multi-channel parallel processing module which adopts a multi-channel AIS receiver, wherein each channel processes the AIS signal received by a single wave beam, filtering, amplification and sampling of the signal, demodulation of a message and extraction of important information of a ship are completed, and meanwhile, the multi-channel parallel processing module has a signal time slot conflictresolution capability. By means of simultaneous receiving of wide and narrow beams, multichannel parallel processing, on-board extraction of important information, synchronization of message second information and satellite time and the like, the system has the advantages of comprehensively improving the ship target detection rate, extracting ship simplification information, obtaining accurate timestamps of messages and the like.
Owner:SHANGHAI SATELLITE ENG INST
Generalized eigen-decomposition-based full polarimetric high resolution range profile target detection method
ActiveCN105044697AImprove target detection rateSuppress clutterWave based measurement systemsDecompositionHat matrix
The present invention discloses a generalized eigen-decomposition-based full polarimetric high resolution range profile target detection method. The method comprises the following steps of (1) obtaining the training target echo and the training clutter as the training data according to the echo of a known full polarimetric radar; calculating a covariance matrix C (O) of the coherent vectors of the training target echo and a covariance matrix C (C) of the coherent vectors of the training clutter; calculating a projection matrix P; (2) obtaining the test full polarimetric high resolution range profile of the full polarimetric radar as the test data; dividing the test data into L range cells, and extracting a coherent vector of each range cell of the test data; carrying out the premultiplication on the coherent vector of each range cell of the test data and the projection matrix P to obtain a reconstructing coherent vector of each range cell of the test data, and calculating the two-norm of the reconstructing coherent vector of each range cell; setting a detection threshold eta, if the two-norm of the reconstructing coherent vector k 'D(1) of the first range cell is not less than eta, determining the test data as a target, otherwise, determining as the clutter.
Owner:XIDIAN UNIV
A sparse regularization feature enhancement method for SAR image interpretation
ActiveCN109461127AImprove protectionHigh gray valueImage enhancementImage analysisPattern recognitionImaging interpretation
The invention provides a SAR image sparse regularization feature enhancement method aiming at interpretation, which comprises the following steps: a SAR image feature enhancement model based on a sparse regularization framework is established; The SAR image feature enhancement model based on sparse regularization framework is solved by using the iterative threshold algorithm based on L1 / 2 norm, and the SAR image feature enhancement results are outputted. The regularization feature enhancement method of SAR image takes target detection of SAR image as the final goal, judges the feature enhancement changes of potential target region and background region through the designed rectangular window detector, and optimizes the regularization parameters adaptively. The final image enhancement results can effectively improve the target detection rate of the existing SAR target detection algorithm and reduce the false alarm rate.
Owner:AIR FORCE UNIV PLA
Target detection method and device, computer equipment and computer readable storage medium
ActiveCN112749590AAvoid misfilteringImprove target detection rateCharacter and pattern recognitionVisual technologyComputer graphics (images)
The invention discloses a target detection method and device, computer equipment and a computer readable storage medium and belongs to the technical field of computer vision. The method comprises the following steps that a plurality of detection frames in a detection image in a video are determined according to a target detection model; according to a target frame in each image in first n images adjacent to the detection image in the video, a plurality of prediction frames in the detection image are determined, the target frames are used for indicating an area where a target exists, and n is an integer greater than or equal to 2; and a target frame is selected from the plurality of detection frames in the detection image according to a plurality of prediction frames in the detection image. The method is advantaged in that detection frame error filtering caused by target shielding, target crowding and the like can be avoided, and the target detection rate is improved.
Owner:SHANGHAI GOLDWAY INTELLIGENT TRANSPORTATION SYST CO LTD
Radar echo interference removing method
The invention relates to a radar echo interference removing method. Echo signal obtained when no target passes through are taken as modulation leakage signals, the pre-detected modulation leakage signals are subtracted from detected target echo signals to obtain target echo signals. Even targets with low spectrum peaks can be detected, and accordingly the target detection rate is increased.
Owner:厦门镭通智能科技有限公司
Visible light-based open fire smoke rapid identification method and system
PendingCN111368756APrecise positioningGuaranteed detection speedImage enhancementImage analysisEdge extractionComputer vision
The invention relates to a visible light-based open fire smoke rapid identification method and system. The method comprises the following steps: carrying out graying processing on an obtained fire image to obtain a gray scale fire image; calculating texture feature information of the grayscale fire image by adopting a spatial grayscale layer co-occurrence matrix method; carrying out smoothing processing and gray stretching on the gray fire image; extracting a suspected flame shape in the image subjected to smoothing processing and gray stretching processing by adopting an edge extraction operator; calculating characteristic parameters of the extracted suspected flame shape; and judging whether the suspected flame shape is flame or not according to the obtained characteristic parameters. According to the invention, the detection speed and accuracy can be improved.
Owner:上海金掌网络技术有限责任公司
Target classifier self-adaptive updating method and device
ActiveCN105512691AImprove target detection rateCharacter and pattern recognitionPattern recognitionSelf adaptive
The invention provides a target classifier self-adaptive updating method and a target classifier self-adaptive updating device. The target classifier self-adaptive updating method comprises the steps of: carrying out target detection on an image to be detected by adopting a target classifier; recording position coordinates of component models when synthetic scores are greater than a score threshold value during the detection process; acquiring position coordinate standard deviations of the component models through establishing Gaussian models of the position coordinates of the component models; and updating anchor point coordinates of the corresponding component models according to the position coordinate standard deviations of the component models, thereby achieving self-adaptive updating of the target classifier. The method and the device can achieve self-adaptive updating of the target classifier in different scenes, and increase a target detection rate.
Owner:ZHEJIANG UNIVIEW TECH CO LTD
Double-deletion threshold-based target detection method
ActiveCN107024680AImprove cullingEasy to detectWave based measurement systemsAlgorithmBackground noise
The invention provides a double-deletion threshold-based target detection method. According to the method, firstly, on the basis that a maximum rejection threshold value and a minimum rejection threshold value are set, the subordinative function value of a sample reference unit is introduced. Secondly, the subordinative function value is compared with the maximum value and the minimum value, and then a corresponding binary weighted value of the sample reference unit is obtained. Thirdly, an average value is taken to obtain a background noise power estimation value. Fourthly, the background noise power estimation value is multiplied by a scaling coefficient to obtain an optimal power detection threshold value. Finally, the power of a test unit is compared with the power detection threshold value. If the power of the test unit is larger than or equal to the power detection threshold value, a target is judged to exist. Otherwise, no target is judged to exist. The method solves the technical problems in the prior art that an existing detection method is small in detection rate and high in leakage detection rate and false alarm rate, and the determination of maximum and minimum rejection threshold values must be dependent on the priori knowledge. Meanwhile, the method is high in rejection performance, high in target detection rate, and small in leakage detection rate.
Owner:ANHUI UNIVERSITY OF TECHNOLOGY AND SCIENCE
Improved pedestrian target detection algorithm in Faster R-CNN tunnel environment
PendingCN111767799AImprove the ability of target feature extractionImprove target detection rateBiometric pattern recognitionNeural architecturesData setFeature extraction
The invention discloses an improved pedestrian target detection algorithm in a Faster R-CNN tunnel environment, and the algorithm comprises the following steps: building a pedestrian target data set in a highway tunnel environment, and randomly dividing the pedestrian target data set into a training set and a test set; optimizing Anchor in the Faster R-CNN network by adopting an unsupervised learning algorithm on the basis of the training set obtained in the above steps to obtain anchor setting; establishing a cavity convolution pyramid structure; designing an attention mechanism for processing the feature information and enhancing the expression ability of the features; and establishing a pedestrian detection framework in an expressway tunnel environment. According to the method, the pedestrian target feature extraction capability under the conditions of dark images, small target relative scale, vehicle lamp influence and the like is improved, and the pedestrian target detection ratein a tunnel environment is improved.
Owner:CHONGQING UNIV +1
Image recognition method and device, computer readable storage medium and processor
PendingCN112686155AQuick identificationAccurate identificationCharacter and pattern recognitionNeural architecturesPattern recognitionEngineering
The invention discloses an image recognition method and device, a computer readable storage medium and a processor. The method comprises the steps of obtaining a to-be-identified image; and inputting the to-be-identified imageto the trained yolo-final model, and enabling the yolo-final model to identify the target of the to-be-identified image, wherein the yolo-final model at least comprises an original yolo-final neural network model and a final layer neural network module added at the tail end of the original yolo-final neural network model, and the final layer neural network module is used for indicating the number of neurons and weight parameters of the identified target. According to the invention, the technical problem of missed detection of certain targets by a yolo series target detection neural network model in the prior art is solved.
Owner:ZHUHAI GUANGTONG AUTOMOBILE +1
Target tracking and intrusion detection method, device, and storage medium
ActiveCN110807377BImprove target detection rateImprove robustnessImage enhancementImage analysisMulti target trackingConfidence metric
The invention discloses a target tracking and intrusion detection method, device and storage medium. The target tracking method includes: obtaining information of multiple targets and each target in the current image frame based on a CNN detection algorithm, obtaining a foreground image of the current image frame based on a motion detection algorithm; then obtaining confidence from the multiple targets based on the foreground image. A moving target whose degree of confidence is less than a preset first threshold; then the moving target whose confidence degree is less than a preset first threshold is matched with the moving target pool after the previous image frame update to obtain the first target. A moving target whose confidence level of the first information matching success is less than the preset first threshold; finally, the target trajectory of the current image frame is obtained based on the multi-target tracking algorithm and the second target of the current image frame, and the second target includes the first target and the target whose confidence is greater than or equal to the preset first threshold in the current image frame. Through the above method, the target detection rate is improved and the missed detection is reduced.
Owner:ZHEJIANG DAHUA TECH CO LTD
False target detection optimization method based on BSD radar left-right communication
PendingCN112764035AReduce recognitionImprove target detection rateRadio wave reradiation/reflectionInternal combustion piston enginesReal-time computingAlgorithm
The invention relates to a false target detection optimization method based on BSD radar left-right communication, and the method comprises the steps of: acquiring target lists detected by radars at two sides of a vehicle, and enabling the target lists to communicate with each other; screening and identifying the detection targets on a first side of the vehicle according to the target lists detected by the radars on the two sides of the vehicle to obtain a reference real target and an uncertain target; matching the reference real target with the uncertain target, if the reference real target is matched with the uncertain target, judging that the target detected by a second side radar of the vehicle is a real target, otherwise, judging that the target is a false target; and according to a matching result, rejecting false targets, and updating target list information detected by radars at two sides of the vehicle. According to the method, through mutual communication of the radars on the left side and the right side of the vehicle, the authenticity of targets detected by the radars on the left side and the right side of the vehicle is verified, false targets are eliminated, identification of the false targets is reduced, the target detection rate of the BSD radars is improved, and the method is rapid and efficient, can greatly reduce detection of the false targets and improves the detection rate of real targets.
Owner:NANJING DESAY SV AUTOMOTIVE CO LTD
Bit synchronization algorithm for maximum likelihood estimation
PendingCN114422075AAccurate identificationImprove work efficiencyCommunication jammingAlgorithmDetection early
The invention relates to the technical field of large hydropower engineering low-altitude defense systems, in particular to a bit synchronization algorithm for maximum likelihood estimation, which comprises the following steps: S1, defining a system defense area; s2, setting a distributed and multi-node defense system; s3, formulating alarm levels of multiple stages; s4, setting a dual-guarantee working mode; s5, information is comprehensively obtained through the system, and comprehensive evaluation is carried out; and S6, the equipment and the system perform self-inspection, and the system defense area is divided into two parts, namely a core area and a detection early warning area: a, the equipment can form an invisible dome-type protection cover in the core area, and the hierarchical management of the whole area can be completed through the distributed and multi-node defense system; according to the invention, the working efficiency of the system can be effectively improved, the operation process of the system is simplified, the reliability of the system is improved, the detection accuracy and precision of the target can be improved, and the purposes of accurate identification and accurate strike of the low-altitude target are achieved.
Owner:GUODIAN DADU RIVER DAGANGSHAN HYDROPOWER DEV
Method, device and equipment for detecting and tracking target objects in video
ActiveCN108320296BSmall amount of calculationImprove target detection rateImage enhancementImage analysisFeature mappingAngle of view
The present application discloses a method, device and equipment for detecting and tracking a target object in a video, wherein the method specifically includes inputting continuous video frames into a pre-trained convolutional neural network; wherein the convolutional neural network is at least Including a set number of shared convolutional layers, a region proposal network layer, using the shared convolutional layer to extract the features of continuous video frames, and obtaining feature maps corresponding to different video frames respectively, using the region proposal network layer, according to The feature map determines a target area related to the target object, and based on the target area, the position and trajectory of the target object in consecutive video frames are detected. Through this method, the convolutional neural network model is used to unify the detection and tracking, reduce the amount of calculation, and solve the problem of multi-pose and multi-view detection of the target, improve the target detection rate, and reduce the false detection rate.
Owner:ENNEW DIGITAL TECH CO LTD
A Target Detection Method Based on Double Deletion Threshold
ActiveCN107024680BImprove cullingEasy to detectWave based measurement systemsAlgorithmBackground noise
Owner:ANHUI POLYTECHNIC UNIV
Infrared target detection method based on space-time cooperation framework
InactiveCN102496016BEfficient integrationEfficient removalCharacter and pattern recognitionNeural learning methodsSignal-to-noise ratio (imaging)Nerve network
The invention relates to an infrared target detection method based on a space-time cooperation framework. The method comprises the following steps: 1. acquiring a background frame Bg and a current frame Ft of a video, combining the background frame Bg and the current frame Ft to carry out background clutter suppression and acquiring a background suppression graph Gt after the background clutter suppression is performed; 2. for the background suppression graph Gt obtained in the step 1, firstly establishing a space-time background model, and then carrying out target positioning aiming at space-time background model information after the model is established; 3. according to an imaging mechanism of the infrared target, analyzing a space difference of the infrared target and the surrounding background, using a fuzzy adaptive resonance nerve network to carry out local classification aiming at the target which is positioned in the step 2 and then extracting the infrared target. The method has the following advantages that: the method does not depend on any target shapes and motion information priori knowledge; the method is suitable for a complex outdoor scene; a signal to noise ratio can be increased; a target detection rate can be increased and a calculated amount can be reduced; false targets can be effectively removed and a false alarm rate can be reduced; the method is beneficial to follow-up target identification.
Owner:WUHAN UNIV
A Method for Extracting Target Candidate Regions Based on Image Background Mask
InactiveCN108648197BImprove target detection rateImage enhancementImage analysisPattern recognitionData set
The invention relates to a method for extracting a target candidate region based on an image background mask, comprising the following steps: (1) building an image background mask data set; (2) building a GAN model, and adding a background mask to the image by means of training GAN ; (3) Define the loss function: In order to process the high-frequency structural information details in the image and make the generated image and the training target image as similar as possible, the loss function is defined as the objective function of GAN and the one norm of the synthesized image. The combination of distance loss; (4) model training.
Owner:TIANJIN UNIV
A method for self-adaptive setting of node duty cycle in efficient target monitoring
InactiveCN105682201BExtend your lifeDoes not affect lifePower managementNetwork traffic/resource managementEngineeringSelf adaptive
The invention discloses a node duty ratio self-adaptive setting method for efficient target monitoring. The method comprises the following steps: according to the distance condition between a node and a base station, a far base station adopting a large duty ratio, and a near base station adopting a small duty ratio. The residual energy at the far base station region is sufficiently utilized, and the duty ratio of the node in the far base station region is improved. The omission ratio and the detection delay in the target monitoring can be reduced when the perception duty ratio of the node is improved; and the transmission delay in the target monitoring can be reduced when the communication duty ration of the node is improved, thereby effectively improving the target monitoring quality, and improving the energy utilization rate of a sensor network.
Owner:CENT SOUTH UNIV
Full-polarization high-resolution range profile target detection method based on generalized eigendecomposition
ActiveCN105044697BImprove target detection rateSuppress clutterWave based measurement systemsHat matrixAlgorithm
The present invention discloses a generalized eigen-decomposition-based full polarimetric high resolution range profile target detection method. The method comprises the following steps of (1) obtaining the training target echo and the training clutter as the training data according to the echo of a known full polarimetric radar; calculating a covariance matrix C (O) of the coherent vectors of the training target echo and a covariance matrix C (C) of the coherent vectors of the training clutter; calculating a projection matrix P; (2) obtaining the test full polarimetric high resolution range profile of the full polarimetric radar as the test data; dividing the test data into L range cells, and extracting a coherent vector of each range cell of the test data; carrying out the premultiplication on the coherent vector of each range cell of the test data and the projection matrix P to obtain a reconstructing coherent vector of each range cell of the test data, and calculating the two-norm of the reconstructing coherent vector of each range cell; setting a detection threshold eta, if the two-norm of the reconstructing coherent vector k 'D(1) of the first range cell is not less than eta, determining the test data as a target, otherwise, determining as the clutter.
Owner:XIDIAN UNIV
Infrared target detection method and computer readable storage medium
PendingCN114092404AImprove the detection rate of small infrared targetsImprove target detection rateImage enhancementImage analysisComputer graphics (images)Correlation filter
The invention provides an infrared target detection method and a computer storage medium. The infrared target detection method specifically comprises the following steps: inputting continuous video frame data; correcting lens shake and background change of continuous video frame data through an image registration method based on a foreground mask algorithm; associating adjacent frame targets in continuous video frame data by using time and space constraints; in combination with a KCF algorithm, further tracking the associated target to obtain a tracking result; and finally determining whether the target is a moving target according to the association frequency and the tracking result of the target. According to the infrared target detection method provided by the invention, shaking and background change are corrected through feature point matching based on KLT, adjacent frame targets are bound and associated by using features such as time and space; and then the multi-dimensional target association is carried out by combining a kernel correlation filtering tracking method based on KCF and a moving target is detected in a combined manner. Therefore, infrared weak and small target detection rate under airborne forward-looking and downward-looking conditions is improved, and the false alarm rate is reduced.
Owner:11TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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