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68 results about "Confidence region" patented technology
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In statistics, a confidence region is a multi-dimensional generalization of a confidence interval. It is a set of points in an n-dimensional space, often represented as an ellipsoid around a point which is an estimated solution to a problem, although other shapes can occur.
Investment portfolio optimization system, method and computer program product
ActiveUS20040181479A1Increase in sizeThe result is accurateFinanceSpecial data processing applicationsAlgorithmConfidence region
The preferred embodiments provide improved systems, methods and products for the optimization of a portfolio and / or multi-portfolios of assets, such as stocks. In some preferred embodiments, new methodology can be employed wherein a confidence region for a mean-varience efficiency set is utilized. In some preferred embodiments, new methodology can be employed for improved computation of a reward-to-variability ratio or Sharpe Ratio. In some preferred embodiments, new methodology can be employed for multiportfolio optimization. In some preferred embodiments, a portfolio optimization engine or module can be adapted to implement one or more of these new methodologies, along with any other desired methodologies.
Owner:ITG SOFTWARE SOLUTIONS INC
Facial expression recognition method based on confidence region and multi-feature weighted fusion
InactiveCN107273845AEasy to classifyAcquiring/recognising facial featuresConfidence regionFeature data
The invention discloses a facial expression recognition method based on a confidence region and multi-feature weighted fusion. The method comprises steps: 1, a face confidence region image and a face region image are acquired, wherein the face confidence region image at least comprises an eye and brow region and a mouth region; 2, the face confidence region image and the face region image are subjected to feature extraction to acquire corresponding initial features; 3, after dimension reduction and data normalization processing are carried out on the initial features, a fusion feature F is formed; 4, the fusion feature F serves as a classification recognition feature to be sent to a classifier for recognition; 5, training set feature data and test set feature data are selected, the training set feature data are inputted to a GRNN neural network for training, and corresponding training parameters are acquired; and 6, based on the training parameters, a density function is adopted to carry out prediction output on the test set feature data to acquire final classification recognition feature data. The method has the advantages of higher recognition efficiency and higher recognition accuracy.
Owner:DALIAN MARITIME UNIVERSITY
Image collaborative cutout method based on confidence level
The invention discloses an image collaborative cutout method based on confidence level. The method aims to conduct collaborative cutout on images with a foreground of slight deformation and a background of large difference. According to the method, front background segmentation is conducted on multiple images by the adoption of a collaborative segmentation algorithm, each image is marked as a mask of a foreground, a background and a region to be solved through morphological operation, cutout is conducted on each source image by the utilization of the source image and the mask by the adoption of an existing single common cutout method, confidence measurement is conducted on the cutout result, pixel points in the region to be solved in all the images are matched, a global optimization function is defined based on the matching so that the cutout effect on all the images is improved in coordination, the method aims to conduct cutout result spread from a high confidence region to a low confidence region matched with the high confidence region, and thus more accurate cutout result is obtained in the corresponding low confidence region. By means of the method, multiple images are input, and the cutout result of the images is output.
Owner:NANJING UNIV
Gesture framework construction method, device and equipment, and storage medium
ActiveCN108594997AImprove accuracyImprove interactivityInput/output for user-computer interactionImage enhancementConfidence regionHuman–computer interaction
Owner:TENCENT TECH (SHENZHEN) CO LTD
Vehicle body color detection and identification method
ActiveCN103440503AAvoid interferenceSmall amount of calculationCharacter and pattern recognitionConfidence regionColor recognition
The invention discloses a vehicle body color detection and identification method. The method comprises the following steps of: training: training out a main color model; color detection and identification: (1) detecting and acquiring a vehicle rectangle region; (2) main color identification: (21), inputting all pixel points from the region into the main color model so as to judge colors (corresponding to each pixel point) in a color list in the main color model; (22), performing statistics on the occupation proportion of each color in the color list and sequencing the colors from big to small according to the occupation proportion; and (23), judging a festooned vehicle or a monochromatic vehicle by utilizing the variance M of the occupation proportion of the former four sequenced colors. The method disclosed by the invention is used for performing color analysis on the whole vehicle body, so that not only the single color vehicle but also the festooned vehicle with multiple colors can be identified, which is favorable for the rapid positioning of the relevant vehicle. The disturbance of various light rays during the selection of a fixed region is avoided by utilizing a high-confidence region. The method is small in calculated quantity and realizes the high-definition real-time detection.
Owner:QINGDAO HISENSE TRANS TECH
Fingerprint recognition method and mobile terminal
ActiveCN105354466ADo not reduce experienceImprove securityInternal/peripheral component protectionDigital data authenticationEmbedded securityFeature extraction
The invention provides a fingerprint recognition method and a mobile terminal. The method is applied to the mobile terminal which is provided with an embedded security chip and a confidence region module. The method comprises the following steps of: enabling the embedded security chip to acquire a fingerprint image input by a current user when receiving a fingerprint recognition instruction; performing feature extraction on the fingerprint image so as to obtain fingerprint features; sending the fingerprint features to a microprocessor of the embedded security chip and enabling the microprocessor of the embedded security chip to perform data processing and fingerprint recognition on the fingerprint features, so as to obtain a fingerprint recognition result; enabling the embedded security chip to send the fingerprint recognition result to the confidence region module; and enabling the confidence region module to perform digital signature on the fingerprint recognition result, then sending the fingerprint recognition result subjected to digital signature to the mobile terminal, thereby finishing fingerprint recognition. According to the fingerprint recognition method and the mobile terminal, a fingerprint recognition process is maliciously tampered.
Owner:维沃移动通信(深圳)有限公司
Two-way network access authentication method based on digital certificate
ActiveCN103237038AUpdate admin keyReduce riskKey distribution for secure communicationUser identity/authority verificationConfidence regionAuthentication server
The invention relates to the technical field of network security and discloses a two-way network access authentication method based on a digital certificate. The two-way network access authentication method comprises the following steps of step 1, dividing a network access authentication system into an access region and a confidence region and accessing a client to be authenticated to a physical port of a confidence client; step 2, actively initializing the network access authentication to the client to be authenticated after receiving access information of the client to be authenticated by an authentication server; and step 3, after submitting equipment authentication information to the authentication server after the client to be authenticated receives the access authentication, starting the authentication after the authentication server receives the authentication information and feeding the authentication result back to the client to be authenticated. The client to be authenticated is physically connected with the confidence client and the authentication server actively initializes the network access authentication to the client to be authenticated after receiving the access information, so that the authentication of network access identities of router equipment, exchange equipment, security safety equipment and the like is realized and the safety and the practicality of the network are improved.
Owner:NO 30 INST OF CHINA ELECTRONIC TECH GRP CORP
Lithium ion battery health condition on-line estimation method applied to space
The invention provides a lithium ion battery health condition on-line estimation method applied to space, relates to the technical field of lithium ion battery health condition estimation, and solvesthe problems that in an existing battery health condition estimation method, most of methods for taking a capacity or an internal resistance as health factors cannot realize on-line estimation application, a data driving method overly depends on off-line test data set completeness, and dynamic change characteristics in the actual working process of a battery cannot be sufficiently considered. Theon-line test data of the battery is acquired, and an on-line health factor sequence is established according to the on-line test data of the battery, a mapping relation is established between SOH andan on-line health factor, based on a double-index degradation model, a state-space equation is established by the combination with the mapping relation between the established battery SOH and the on-line heath factor, and based on the state-space equation, estimation of SOH is estimated by the combination with a UPF algorithm, an SOH estimation result and the confidence region corresponding to theestimation result are obtained, and the battery health condition on-line estimation is completed. The lithium ion battery health condition on-line estimation method is suitable for on-line estimationof battery health conditions.
Owner:HARBIN INST OF TECH
Indoor dynamic continuous positioning method fusing smartphone built-in sensor and Wi-Fi (Wireless Fidelity)
InactiveCN105547298AHigh precisionImprove stabilityNavigational calculation instrumentsNavigation by speed/acceleration measurementsInstabilityFinite-state machine
The invention discloses an indoor dynamic continuous positioning method fusing a smartphone built-in sensor and Wi-Fi (Wireless Fidelity). The method comprises the following steps: (1) motion mode identification: smart mobile electronic terminal equipment identifies various motion states of indoor pedestrian through a fused multi-source sensor; (2) improved Wi-Fi positioning: algorithm improvement is made specific to signal characteristics of the motion states in order to improve Wi-Fi positioning performance in the motion states; (3) PDR (Pedestrian Dead Reckoning) positioning: dead reckoning is performed on the indoor pedestrian to obtain position estimate, and a confidence region is established in conjunction with the motion states; (4) trust chain positioning fusion (TCPF): trusted point decision is made through the confidence region and a Wi-Fi positioning result, a confidence locking mechanism of dynamic continuous positioning is established through a finite state machine, and finally, two positioning estimated positions are fused dynamically to obtain optimal positioning position estimate. By adopting the method, the influence of Wi-Fi signal instability during motion on positioning performance is lowered, the problem that positioning errors accumulate over time is solved, and the accuracy and stability of indoor dynamic continuous positioning are improved.
Owner:北斗遨翔时空信息技术研究院(北京)有限公司 +2
Control flow hiding method for remote computing
ActiveCN106845168AReduce operating overheadAchieve real hiddenSoftware designTransmissionControl flowIntel processor
The invention discloses a control flow hiding method for remote computing. The method includes the following steps that original programs are divided into the open programs, the confidence programs and condition list group set files, the SGX function of the safe execution environment of a sixth-generation Intel processor is used for performing program branching statement condition judging in a confidence region with the hardware protection function, and therefore real hiding of program branching statement conditions is achieved.
Owner:XIDIAN UNIV
Vehicle abnormal deceleration region detecting method and system based on trajectory data
ActiveCN110379163ATimely inductionReduce time to discoveryDetection of traffic movementCharacter and pattern recognitionMachine visionReal-time data
The invention relates to a vehicle abnormal deceleration region detecting method and a vehicle abnormal deceleration region detecting system based on trajectory data. The vehicle abnormal decelerationregion detecting method refers to an image differential anomaly detection method commonly used in machine vision, performs analysis and clustering on historical trajectory data, constructs an ''imagebackground'' of a road section deceleration region, compares a deceleration confidence region with a deceleration region based on real-time data clustering, and highlighting an abnormal decelerationregion of the road section. The vehicle abnormal deceleration region detecting method and the vehicle abnormal deceleration region detecting system overcome the problems of low patrol efficiency and high delay of the traditional road network traffic events, can provide data support for the traffic department to maintain normal operation of the traffic system, shorten the discovery time of the roadabnormal event, reduce the labor cost, can push anomaly information to drivers near the abnormal deceleration region by means of communication software, realize the timely induction of vehicles and avoid the occurrence of large-scale congestion.
Owner:ENJOYOR COMPANY LIMITED
Method and apparatus for recognizing fatigue affecting a driver
InactiveUS20170215784A1Achieved quickly and efficientlyReliably recognizeAcquiring/recognising eyesDiagnostic recording/measuringPattern recognitionDriver/operator
A method is described for recognizing fatigue, the method comprising an ascertaining step, a determining step, and a comparing step. In the ascertaining step a first saccade and at least one further saccade of an eye movement of a person are ascertained using a gaze direction signal that models the eye movement. In the determining step, a first data point representing a first amplitude of the first saccade and a first peak velocity of the first saccade, and at least one further data point representing a further amplitude of the further saccade and a further peak velocity of the further saccade, are determined using the gaze direction signal. In the comparing step, the first data point and at least the further data point are compared with a saccade model. The person is recognized as fatigued if the data points have a predetermined relationship to a confidence region of the saccade model.
Owner:ROBERT BOSCH GMBH
Weighting and identifying method for train track in turnout area based on satellite positioning
The invention discloses a weighting and identifying method for train tracks in turnout areas based on satellite positioning. The method comprises the following steps of: S1, confirming a running lineof a train before entering a turnout area, and obtaining a candidate line full set OL (i = 1, 2, ...N) by retrieving a map database according to a railway line topological relation prestored in themap database, wherein i represents the line; S2, obtaining a train positioning result and visible satellite number information based on GNSS; constructing a confidence region based on the GNSS positioning information; calculating subsets of data points in the confidence region in the OL to obtain a candidate line set FL; S3, calculating a matching distance deviation and a direction deviation weight of each candidate line; establishing a candidate line weight function; calculating the weight of all the lines in the FL; selecting the line with the largest weight as a final matching line, and completing initial identification of the train in the turnout area; and S4, establishing accurate identification rules for the train tracks in the turnout areas, in combination with a topological structure of the railway line and a train running state.
Owner:BEIJING JIAOTONG UNIV
Method for estimating parameters of conductivity second-order resistance-capacitance coupled network
InactiveCN102890198AFast convergenceImprove estimation accuracyFluid resistance measurementsCapacitancePhase difference
The invention provides a method for estimating parameters of a conductivity second-order resistance-capacitance coupled network, and belongs to the technical field of soft measurement of the solution conductivity, wherein the measurement of the solution conductivity is converted into parameter estimation of a second-order equivalent resistance-capacitance coupled network; and the method specifically comprises the following steps of: for a conductance cell second-order resistance-capacitance system model taking lead distributed capacitance and electrical double-layer capacitance influences into account, orderly employing two sine excitation signals of different frequencies to excite the resistance-capacitance network; on the basis that the amplitude ratio and phase difference of sine response signals in relation to the sine excitation signals thereof are estimated, respectively, establishing an over-determined system related to the resistance and capacitance parameters to be estimated according to the relationship deduced between the amplitude ratio and the phase difference and the solution resistance, the lead distributed capacitance and the electrical double-layer capacitance; and then obtaining the estimated values of the resistance and capacitance parameters by a subspace confidence region optimization algorithm based on the nonlinear least square principle. The method provided by the invention is high in rate of convergence, high in estimation accuracy and good in anti-interference capability, and suitable for industrial online real-time application.
Owner:DALIAN UNIV OF TECH
Method and apparatus for enhanced in vivo MRI imaging
ActiveUS20100225316A1Easy to identifyCharacter and pattern recognitionAnalysis using nuclear magnetic resonanceDiffusionResonance
A method and apparatus for detecting the presence of abnormal tissues of the present invention utilizing a magnetic resonance imaging system in communication with a computer. The apparatus is configured to define a confidence region using a probability based confidence interval calculation such as multivariate or bivariate analysis for at least two parameters in a normal tissue sample by making a magnetic resonance image, and then to evaluate a second sample by making a magnetic resonance image. Parameters detectable by magnetic resonance imaging 3 are selected from t1, t2, t2*, signal intensity, and diffusion.
Owner:BATTELLE MEMORIAL INST
Confidence region algorithm-based multidimensional space contour error estimation method
ActiveCN108021095AGuaranteed convergenceImprove estimation accuracyComputer controlSimulator controlAlgorithmConfidence region
The present invention relates to a confidence region algorithm-based multidimensional space contour error estimation method for solving the disadvantages that the conventional multidimensional space contour error compensation control precision is low and the convergence is greatly influenced by an initial value. The method of the present invention is characterized by solving a neighborhood of a current iteration point as an iteration domain at each time of iteration, obtaining a tentative iteration step length in the neighborhood, defining an evaluation function to decide the acceptation or rejection of the step length and the range of a next iteration confidence region, if the step length satisfies the requirements of the evaluation function, updating a current iteration state and keepingor expanding the confidence region, otherwise keeping an original iteration state and reducing the confidence region until the precision satisfies the requirements or stopping the iteration when theiteration number of times reaches an upper limit. Compared with a Newton's method, the method of the present invention guarantees the overall convergence, enables the derivative calculation to be reduced, and is used for the contour tracking and precise processing technology field.
Owner:HARBIN INST OF TECH
Multi-dimensional field weed identification method based on generative adversarial learning
InactiveCN109784380AIncrease flexibilityReflect similarityCharacter and pattern recognitionConfidence regionLabeled data
The invention discloses a multi-dimensional field weed identification method based on generative adversarial learning. A semi-supervised learning strategy is adopted to train an overall network. The overall network is trained by inputting labeled data and unlabeled data. Tagged data is used as input of a discrimination network. training the network by using unlabeled data. A space probability graph generated by unsupervised data is used as calculation of semi-supervised loss. The method can effectively reflect the similarity between a prediction result and real data distribution, uses generative adversarial learning to find a confidence region of unlabeled data, obtains a final field weed recognition result through self-learning, uses a confidence graph to perform self-learning on a network, and uses a semi-supervised learning strategy to break through the limitation of insufficient labeled data. According to the invention, the segmentation network is used to replace a traditional network, input features of different sizes can be accepted, and the flexibility is high.
Owner:XI AN JIAOTONG UNIV
Processing method of pavement crack image
The invention discloses a processing method of a pavement crack image. The method mainly includes the following contents: 1, using an OTSU method to process the pavement crack image through an iteration process, and eliminating non-confidence regions in all iteration results in the pavement crack image; 2, executing a preprocessing algorithm which is of lesser iteration frequency and used on the pavement crack image; and 3, carrying out excessive iteration on the pavement crack image, processing a result, then using a processed result as a seed image, eliminating tiny regions in the seed image, utilizing an edge detection algorithm to set a ''growth fence'' in the pavement crack image, and finally completing image segmentation through regional seed growth. The pavement crack image processing method provided by the invention obviously improves an image preprocessing effect and an image segmentation effect, overcomes interference of noisy noises in the image, is higher in calculation efficiency, has higher robustness, is stable in performance, is applied to intelligent identification and statistics of pavement crack diseases, and improves identification precision and statistic efficiency of the pavement crack diseases.
Owner:SOUTHEAST UNIV
Obstacle detection method and system
InactiveCN102027389AAnti-collision systemsElectromagnetic wave reradiationConfidence regionEngineering
A system (30) for detecting obstacles (12) near a machine (10) is disclosed. The system has a plurality of obstacle sensors (32) located on the machine. The system also has a controller (34) in communication with each of the plurality of obstacle sensors. The controller is configured to pair one-to-one each of the plurality of obstacle sensors to each of a plurality of non-overlapping confidence regions (44). Additionally, the controller is configured to scan with the plurality of obstacle sensors. The controller is also configured to receive from the plurality of obstacle sensors raw data regarding the scanning, and assemble the raw data into a map (36). Based on the map, the controller is configured to determine at least one characteristic of at least one obstacle.
Owner:CATERPILLAR INC
Method for detecting and evaluating compaction uniformity of inorganic stabilized granular base course of road
InactiveCN105628518AWon't breakAvoid human interference with dataMaterial strength using single impulsive forceDeformation modulusStatistical analysis
The invention discloses a method for detecting and evaluating the compaction uniformity of an inorganic stabilized granular base course of a road. According to a detection point arrangement principle, the Evdi of a to-be-estimated section of the road is detected by adopting a PFWD (Portable Falling Weight Deflectometer); a detection result is subjected to statistic analysis, so as to obtain a deformation modulus average value and a variance; upper and lower confidence limits are calculated; the three-dimensional curved surface of Evd is cut; value lines of the Evd and the like are projected out; the area Sh of a qualified region and the area Sq of an overall region are calculated; a uniformity index t is calculated according to a definition; the compaction uniformity is estimated according to an evaluation standard; a judgment method of a compacted weak region of a roadbed is to define the compacted weak region of the roadbed by adopting an Evd lower confidence region of the to-be-detected section of the road; the quick aftercompaction can be carried out according to the position of the weak region.
Owner:HARBIN INST OF TECH
Multi-view driving risk assessment method and device based on network connection environment
ActiveCN112349100ARealization riskDetection of traffic movementParticular environment based servicesDriving riskNetwork connection
The invention discloses a multi-view driving risk assessment method and a multi-view driving risk assessment device based on a network connection environment. The method comprises the following steps:step 1, dividing a region to be subjected to risk assessment into a plurality of sub-regions; 2, acquiring first environment sensing information of each sub-region through selected roadside sensing equipment, and judging the confidence coefficient of each sub-region; 3, judging whether the sum of the areas of the sub-regions corresponding to a low-confidence region in the region to be subjected to risk assessment is smaller than a preset ratio of the area of the region to be subjected to risk assessment or not; 4, fusing and splicing the first environmental perception information of the low-confidence region and the second environmental perception information of the same sub-region as the first environmental perception information to obtain an enhanced environmental perception result corresponding to the Alow of the low-confidence region; 5, generating a global environment perception result of the region to be subjected to risk assessment; and 6, evaluating the overall risk of the region to be subjected to risk assessment. According to the invention, the purposes of real-time perception and risk assessment without blind areas can be achieved by using a network connection environment.
Owner:紫清智行科技(北京)有限公司
Antenna optimization method capable of combining moment method with confidence region space mapping algorithm
ActiveCN106599331AStrong convergenceFast convergenceSpecial data processing applicationsConfidence regionFull wave analysis
The invention discloses an antenna optimization method capable of combining a moment method with a confidence region space mapping algorithm. The method comprises the following steps that: firstly, a rough model for an antenna space mapping algorithm is established, the construction of the rough model adopts a response surface approximation method based on a Kriging interpolation, the rough model is optimized, and the optimal design parameter of the rough model is determined; a fine model adopts a full wave analysis moment method, the response of the rough model is enabled to approach to the response of the fine model through parameter extraction, and a mapping relationship between a rough model parameter and a fine model parameter is established; and the optimal design parameter of the rough model and the inverse mapping of the established mapping relationship are utilized to obtain the predication parameter of the fine model, and if the predication parameter of the fine model does not meet design requirements, iterative update is carried out on the mapping relationship until the predication parameter of the fine model meets the design requirements. By use of the method, the parameter of the designed antenna is integrally optimized, and time is saved on the premise that accuracy is guaranteed.
Owner:NANJING UNIV OF SCI & TECH
Network function virtualization intelligent scheduling method based on flow identification
ActiveCN110324260AImplement schedulingEfficient schedulingData switching networksNetwork serviceService quality
A network function virtualization intelligent scheduling method based on flow identification is realized based on a confidence region strategy optimization algorithm, and comprises the following operation steps: (1) classifying network data flows: (2) setting a state space of the confidence region strategy optimization algorithm; (3) setting an action space of a confidence region strategy optimization algorithm; (4) setting a reward function of a confidence region strategy optimization algorithm; (5) setting a loss function of the confidence region strategy optimization algorithm; and (6) on the basis of the previous steps, realizing intelligent scheduling of the virtual network function by utilizing a confidence region strategy optimization algorithm. According to the method, the intelligent scheduling of the virtual network function can be realized according to the service quality requirements of different flow data, and the network utilization rate and the network service performance are improved.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Dual-mode map matching method based on three-evidence DS theory
ActiveCN106289281AHigh precisionImprove stabilityInstruments for road network navigationDual modeConfidence region
The invention provides a dual-mode map matching method based on a three-evidence DS theory. The dual-mode map matching method comprises the following steps: selecting a matching mode, calculating a confidence region when a high-precision mode is executed, screening all candidate roads from the confidence region, calculating corresponding probability distribution function values for all the candidate roads by virtue of the three-evidence DS theory, arraying all the probability distribution function values in a descending order manner, and carrying out similarity verification from large to small; and carrying out dual verification on a history result by virtue of the three-evidence DS theory and the similarity when a selective verification mode is executed: firstly calculating the probability distribution function value of a front matching road by virtue of the three-evidence DS theory, and if the probability distribution function value is not smaller than a preset threshold value, carrying out selective verification. The dual-mode map matching method is superior to other map matching methods and has good robustness and accuracy, and the matching time can be shortened.
Owner:WUHAN UNIV OF SCI & TECH
Image processing method and device, equipment and storage medium
PendingCN112258380AReduce manual operationsImprove interaction efficiencyImage enhancementImage analysisImaging processingComputer graphics (images)
The invention discloses an image processing method add device, equipment and a storage medium, and relates to the field of image processing. The method comprises the following steps: processing an image through an image segmentation model to obtain a probability distribution diagram of a sky region in the image, namely the confidence coefficients of pixels of the sky region in the diagram; determining a high-confidence region of which the confidence coefficient is higher than a first confidencecoefficient threshold from the sky region; and when the pixel points in the high-confidence region donot meet the preset condition, replacing the sky region with a target sky material to obtain a target image. According to the method and device, the problem that the sky area can be manually replacedby at least seven steps in the related technology is solved, the purpose of automatically replacing the original sky area in the image by the target sky material is achieved, a user does not need torepair the image in the later period, the manual operation steps of the user are reduced, and the human-computer interaction efficiency is improved. Even if the user does not have a picture repairingfunction, the user can obtain sky pictures which are comparable with sky pictures shot by a professional digital single lens reflex.
Owner:BEIJING XIAOMI MOBILE SOFTWARE CO LTD
Method and apparatus for recognizing fatigue affecting a driver
InactiveUS10159436B2Reliably recognizeGreat weightAcquiring/recognising eyesEye diagnosticsPattern recognitionDriver/operator
A method is described for recognizing fatigue, the method comprising an ascertaining step, a determining step, and a comparing step. In the ascertaining step a first saccade and at least one further saccade of an eye movement of a person are ascertained using a gaze direction signal that models the eye movement. In the determining step, a first data point representing a first amplitude of the first saccade and a first peak velocity of the first saccade, and at least one further data point representing a further amplitude of the further saccade and a further peak velocity of the further saccade, are determined using the gaze direction signal. In the comparing step, the first data point and at least the further data point are compared with a saccade model. The person is recognized as fatigued if the data points have a predetermined relationship to a confidence region of the saccade model.
Owner:ROBERT BOSCH GMBH
Trend-based target setting for process control
Determining a suitable target for an entity (such as a product) in a process control environment, based on observed process control data. A preferred embodiment organizes data in a hierarchical structure designed for automating the target-setting process; derives target “yardsticks” for various components based on this data structure; employs techniques to estimate proportions using sample-size-based trimming in conjunction with bias-correction techniques (where appropriate); and derives targets based on combining yardsticks and confidence regions for parameters that characterize component quality
Owner:IBM CORP
Ridge direction extraction device, ridge direction extraction method, and ridge direction extraction program
ActiveUS20140205162A1Enhanced degree of confidenceAccurate directionCharacter and pattern recognitionPattern recognitionConfidence region
A ridge direction extraction unit, which analyses the shape of a ridge in a fingerprint image and extracts the ridge direction that indicates the slope of the ridge, includes: a low confidence region density value conversion module that reduces the density values in a low confidence region to generate a density conversion image; a synthesized image generating module for synthesizing a high confidence region and the low confidence region to generate a synthesized image; an auxiliary direction determining function for determining which ridge direction in the synthesized image is to be the auxiliary direction and deriving the degree of confidence in the auxiliary direction; and a high confidence region expanding module for calculating the degree of confidence in the direction, and correcting the ridge direction in the low confidence direction contiguous with the high confidence region so as to increase the degree of confidence in the ridge direction.
Owner:NEC CORP
Region of Interest Video Coding Method and Device Based on Object Detection
ActiveCN104427337BGuaranteed coding qualityGuaranteed stabilityClosed circuit television systemsDigital video signal modificationPattern recognitionObjective information
The invention relates to the technical field of video coding, and discloses a method and device for video coding of a region of interest based on target detection. In the present invention, the video coding method includes the following steps: performing target detection on the original image, generating target information, and obtaining the target area and confidence; converting the target area into an area of interest suitable for encoding; calculating Coding the quantization parameter; performing quantization coding on the region of interest and the region of non-interest according to the corresponding coding quantization parameter. Obtain the region of interest and non-interest region and the corresponding confidence through target detection, and select the corresponding quantization parameters to quantize and encode the region of interest and non-interest region, which can effectively ensure the coding quality and stability of the region of interest. On the premise of reducing the coding quality of the region of interest, the compression code stream of the entire image can be reduced, and the efficiency of video transmission and storage can be improved.
Owner:HANGZHOU HIKVISION DIGITAL TECH
Method and device for enlarging CT display view field
The invention relates to a method and device for enlarging a CT display view field. The method comprises the steps that an intercepted trajectory is extracted from a confidence region adjacent to an intercepted region; and the intercepted trajectory is externally plugged into a complete trajectory.
Owner:GENERAL ELECTRIC CO
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