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241results about How to "Improve detection rate" patented technology

ROP attack detection method and system based on virtual machine

Belonging to the technical field of system safety, the invention discloses an ROP attack detection method and an ROP attack detection system based on a virtual machine. The method comprises: 1) running a to-be-protected operating system in a virtual domain environment; 2) positioning a set target process, and acquiring the process information of the target process; 3) monitoring the running of the process in the system, and marking the stack of the current target process as read only when a context switches to the target process; 4) intercepting the write operation occurred after a page error is caused by marking a writable stack memory region as read only, and marking the corresponding stack page as writable; 5) positioning the next place with stack checking need in the implementation of the current target process, and setting a breakpoint; and 6) intercepting the breakpoint and detecting whether the ROP attack exists, stopping the current target process if the ROP attack is detected, continuing to running the target process if the ROP attack is not detected, and marking the stack of the target process as read only. The method has the advantages of a high detection rate, a low rate of false alarm, etc.
Owner:INST OF INFORMATION ENG CAS

Traffic sign detection method in natural scene

The invention provides a traffic sign detection method in a natural scene. The method comprises the steps that a detection image shot in the natural scene is acquired; luminance information of the detection image is subjected to statistical analysis, different luminance areas are divided according to grade luminance threshold values, pixel ratios of different luminance areas are calculated respectively, and the image is divided into a dark scene, a bright scene, a backlighting scene and a normal scene according to all the pixel ratios and scene classification threshold values; gamma parameter values are selected according to scene classification results, and an adaptive Gamma enhancement algorithm is adopted to perform image enhancement processing on a classification image; a partitioning algorithm is selected to perform image color partitioning according to different scenes in an RGB color space to obtain suspected target areas; a grayscale image obtained after color partitioning is subjected to binarization processing to obtain the suspected target areas after binarization; and the suspected target areas are screened through a feature screener to position traffic sign regions. Through the method, robustness and real-time performance of sign detection can be both considered.
Owner:SHANGHAI INST OF TECH

Detection device and detection method for series arc faults

InactiveCN104678265AReduce detection error rateEasy to implementTesting dielectric strengthMoving averagePower flow
The invention discloses a detection device and a detection method for series arc faults. The detection device comprises a continuous current collection module, which is used for continuously collecting current at a fixed sampling rate through an A/D (Analog to Digital) converter, a signal preprocessing module, which is used for carrying out moving average processing on collected data, an arc fault processing and analyzing module, which is used for computing a rate of change of current, a sum of previous N harmonics and a harmonic time domain waveform effective value, identifying an arc according to the three variables and giving a corresponding command, a sound-light alarm module, a drive module and a tripping control module, which are used for deciding whether sound-light alarm is carried out and a circuit is disconnected according to the command of the arc fault processing and analyzing module, and a communication module, which is communicated with the exterior through an RS485 interface. According to the detection device and the detection method, a time domain and a frequency domain are together utilized to judge whether the arc fault occurs, and through analyzing and testing, the method has the advantages of simplicity in operation, easiness in implementation, low cost and misjudgment rate and high detection probability.
Owner:GUANGDONG YADA ELECTRONICS

Hyperspectral abnormal object detection method based on structure sparse representation and internal cluster filtering

The invention discloses a hyperspectral abnormal object detection method based on structure sparse representation and internal cluster filtering, aiming at addressing the technical problem of low object detection effciency of current hyperspectral abnormal object detection methods. The technical solution involves: after selecting an initial background pixel, using the dictionary learning method which is based on principal component analysis to study a background dictionary which obtains rebustness, in the course of sparse vector resolution and image reconstruction, introducing re-weighted laplacian prior to increase the solution precision of sparse vector, computing the errors betwen an original image and a reconstructed image to obtain a sparse representation error, using the internal cluster filtering to represent space spectrum characteristics of hyperspectral data, obtaining the internal cluster error by computing the error between a to-be-tested pixel and other pixel linear representation result, and finally combining the sparse representation error and the linear weighting of the internal cluster error and implementing precise extraction of an abnormal object. According to the invention, the method increases 10-15% of detection rate with the proviso of a constant false alarm rate compared with prior art.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Safety belt detecting method based on Hough transform

The invention discloses a safety belt detecting method based on Hough transform, relating to the field of intelligent transportation. In the safety belt detecting method based on the Hough transform, two parallel straight lines on the edge of a safety belt are detected through the Hough transform of cumulative probability, and whether a driver and passengers wear the safety belts is determined by a geometrical way of shoulder and waist diagonal crossing of the safety belts. The safety belt detecting method based on the Hough transform comprises the following steps: extracting the edge of the safety belt; and performing straight line detection based on the Hough transform. Compared with other detection method, the safety belt detecting method based on the Hough transform has the advantages as follows: the detection rate of not wearing the safety belt is improved; for a motor vehicle picture with nonuniform illumination, the detection rate of not wearing the safety belt is improved; a detection scheme based on the Hough transform is provided for safety belt detection in an intelligent transportation system; the real-time performance is high; and the intelligent transportation system is easier to install and easy to maintain.
Owner:广州烽火众智数字技术有限公司

Universal steganalysis method for JPEG images

The invention provides a universal steganalysis method for JPEG (Joint Photographic Experts Group) images. The universal steganalysis method comprises a training process and a prediction process, wherein the training process comprises the following steps: extracting the features of all images in a training sample set, and training the obtained features by a classifier to obtain a model; and the prediction process comprises the following steps: extracting the features of to-be-predicted images in the same way, and under the condition of the same classifier, predicting by the model well trained in the training process to obtain a final result. The universal steganalysis method is characterized in that all the images in the training sample set and the to-be-predicted images are used as original images for extracting the features; and extraction is realized in the following way: global calibration processing is carried out on the original images to obtain globally calibrated images, the multi-direction differential Markov probability matrixes of the original images and the globally calibrated images are respectively calculated, and differential processing is carried out on calculated results to obtain features. The detection rate of the JPEG stego images is further increased by the method provided by the invention.
Owner:WUHAN UNIV

Adaboost classifier on-line learning method and Adaboost classifier on-line learning system

The invention relates to an Adaboost classifier on-line learning method and an Adaboost classifier on-line learning system. The Adaboost classifier on-line learning method comprises steps that: object detection is carried out by a strong classifier acquired through employing off-line training, and an object detection result is acquired; object detection is acquired by employing a background model to acquire a motion object; the object detection result acquired by the strong classifier is compared with the motion object acquired through detection by employing the background model to acquire an error classifier object; the error classifier object is taken as an on-line training sample to carry out on-line training to acquire a strong classifier after updating. According to the Adaboost classifier on-line learning method and the Adaboost classifier on-line learning system, the object detection result acquired by the off-line classifier is compared with the motion object acquired through detection by employing the background model to acquire the error classifier object, the error classifier object is taken as the on-line training sample to acquire the strong classifier after updating. Generalization performance of the object detection classifier is effectively improved, so the object detection classifier can adapt to a monitoring scene during operation, a detection ratio is improved, and a rate of false alarm is reduced.
Owner:ZMODO TECH SHENZHEN CORP

SAR image ship target detection method

InactiveCN108765491AIntact formLow target detection distortion rateImage enhancementImage analysisCorner detectionFalse alarm
The invention discloses an SAR image ship target detection method, and implementation steps thereof include: determining an SAR ship image to be input and carrying out clutter suppression; then usingan improved SLIC superpixel generation algorithm to segment the SAR ship image into super-pixel blocks, and then calculating self-information values of each superpixel block and setting a threshold value T1 to picking out candidate superpixel blocks; calculating expanding neighborhood weighted information entropy in four directions of candidate superpixel patches, and setting an expanding neighborhood weighted information entropy growth rate T2 to remove false alarm candidate superpixel patches; and performing Harris corner detection on a detection result, and setting the number T3 of cornersto further filter out the false alarm patches, so as to obtain a final SAR image ship target detection result. The SAR image ship target detection method provided by the invention fully utilizes the combination of superpixel segmentation, information theory detection and Harris corner detection to realize SAR image ship target detection, and the obtained detection result shows that the method provided by the invention has the advantages of high correct detection rate, low false alarm rate and omission rate, and low detection distortion rate.
Owner:CHENGDU UNIV OF INFORMATION TECH

Detection method for radar multi-target Hough transform target-by-target elimination

The invention discloses a detection method for radar multi-target Hough transform target-by-target elimination, and belongs to the field of tracking processing before radar detection. The conventional tracking processing method before radar multi-target detection has the defects of high operational complexity, great mutual influence between flight paths, simple setting of a second threshold and the like. Therefore, each parameter unit is detected and judged one by one by adopting Hough transform target-by-target elimination technology. By utilizing the capacity of the Hough transform of simultaneously forming peak values through multiple targets and adopting a target-by-target elimination strategy, the technology greatly reduces the mutual influence between target flight paths; meanwhile,different second thresholds are set to detect different parameter units, the technology does not need prior information in a target number and multi-hypothesis test and has obviously lower operational complexity; meanwhile, target motion information, flight path feasibility and other factors are considered in the process of the setting of the second thresholds, the false-alarm probability is reduced and the detection probability of a detector is improved.
Owner:NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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