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1417results about How to "Reduce missed detection rate" patented technology

Remote obstacle detection method based on laser radar multi-frame point cloud fusion

ActiveCN110221603ASolve the problem of inability to effectively detect long-distance obstaclesPrecision FusionElectromagnetic wave reradiationPosition/course control in two dimensionsPoint cloudMultiple frame
The invention discloses a remote obstacle detection method based on laser radar multi-frame point cloud fusion. A local coordinate system and a world coordinate system are established, an extraction feature point of each laser point is calculated on an annular scanning line of the laser radar according to the original point cloud data under the local coordinate system, and the global pose of the current position relative to the initial position and the de-distortion point cloud in the world coordinate system are obtained through inter-frame feature point matching and map feature point matching; the de-distortion point clouds of the current frame and the previous frame are fused to obtain more compact de-distortion point cloud data, which is unified to the local coordinate system, then projection is performed on two-dimensional grids, and an obstacle is screened according to the height change features of each two-dimensional grid. According to the method in the invention, the problem that the detection rate of the remote barrier caused by sparse laser point clouds is low is solved, the remote barriers can be effectively detected, the error detection rate and the leak detection rateare low, and the system cost can be greatly reduced.
Owner:ZHEJIANG UNIV

Method for quickly and accurately detecting and tracking human face based on video sequence

The invention discloses a method for quickly and accurately detecting and tracking a human face based on a video sequence, which relates to the technical field of mode identification. The method comprises the following steps of: 1, extracting a video frame image from a video stream; 2, preprocessing the video frame image, namely compensating light rays, extracting skin color areas, performing morphological processing and combining the areas; 3, detecting the human face, namely representing the human face by using Harr-like characteristics and detecting the human face by using a cascaded Adaboost algorithm with an assistant decision function; 4, establishing the characteristics of the human face, namely detecting the area characteristics of the detected human face and the shape characteristics of the edge profile of the human face; 5, tracking the human face, particularly tracking the human face by using a human face area characteristic model when an intersection does not occur in a human face area, and further matching when the intersection occurs according to the shape characteristics of the edge profile of the human face; and 6, extracting the sequence of a human face image. By the technical method, the human face can be detected and tracked quickly and accurately on the basis of the video sequence.
Owner:云南清眸科技有限公司

Security protection early-warning system and method based on radar detection and video image behavior analysis

The invention provides a security protection early-warning system and method based on radar detection and video image behavior analysis. The method comprises: S1, carrying out pairing and calibrationon a radar detecting device and a cloud platform camera; S2, monitoring whether a moving target exists in a monitoring range in real time by a radar and sending position information of all moving targets to an intrusion event detecting module; S3, determining positions of the moving targets relative to the cloud platform camera; S4, determining an adjustment angle of the cloud platform camera anda needed magnification value; S5, moving the visual field center of the cloud platform camera to the positions of the moving targets and controlling the cloud platform camera to carry out magnification; and S6, acquiring a current image of the cloud platform camera, carrying out a behavior analysis on the moving targets, determining a real intrusion target, and sending out alarm information. The security protection early-warning method has advantages of simple algorithm, fast recognition speed of the intrusion target, high recognition accuracy, and flexible equipment installation position arrangement and the like; the missed detection rate and the false alarm rate are reduced substantially; and the response speed of the system is increased.
Owner:ANLONG SOFTWARE HUNAN

Method for detecting, tracking and recognizing movement visible exogenous impurity in medicine liquid

The invention discloses a detecting and recognition method of moveable and visible foreign matters and bubbles in liquid medicines, which is characterized in that the method comprises the following steps: (1) a continuous multi-frame image of a liquid medicine to be detected is obtained; (2) the image is preprocessed; (3) a moveable object is extracted, and a reinforced image is obtained; (4) the moveable object is partitioned as follows: an improved two-dimensional maximum entropy threshold partitioning algorithm is applied into the processing of the reinforced image and a two-dimensional histogram that is formed by grayscale and average neighborhood grayscale is adopted for choosing threshold, thus obtaining a partitioned image; (5) the movable object is traced; and (6) the image is identified and determined as follows: a movement trace of the object is obtained according to the tracing result, objects inducing foreign matters and bubbles are identified and distinguished by utilizing the continuity and the directivity of the object movement trace, and consequently whether the liquid medicine is qualified is finally determined. Under the condition of ensured algorithm precision, the detecting and recognition method of moveable and visible foreign matters and bubbles in liquid medicines adequately simplifies computation, improves the real-time property of the algorithm, greatly raises the accuracy of foreign matter and bubble identification in the liquid medicine, and lowers the false detection rate of the medicine.
Owner:HUNAN UNIV

Keypress behavior pattern construction and analysis system of touch screen user and identity recognition method thereof

The invention provides a keypress behavior pattern construction and analysis system of a touch screen user and an identity recognition method thereof. According to the invention, data analysis is performed by using history keypress information of inputting a password by a soft keyboard on a mobile phone touch screen; a corresponding neural network model is established; and model calculation is performed on new to-be-tested data, to recognize a user identity. The system comprises a user data acquisition module, a data pre-processing module, a model training module, and a user identity identification module. The user data acquisition module is responsible for acquiring time series information of a user clicking the soft keyboard and inputting the password, and pressure and contact area information. The data pre-processing module is responsible for pre-processing the acquired data, removing dirty data, and performing normalization on the data. The model training module is responsible for performing analysis and modeling on a key-in mode of all users. The user identity identification module is responsible for performing model calculation on the new to-be-tested data, to recognize the user identity and improve security of a user account password.
Owner:TONGJI UNIV

Method for detecting web page Trojan horse based on program execution characteristics

The invention belongs to the field of computer security, and relates to a method for detecting web page Trojan horse based on program execution characteristics, which comprises the following steps: using web crawlers to capture source codes of a web page; then obtaining a recognizable script program through multilevel decoding; carrying out disassembling processing on the script program to obtainassembled source codes while reserving the script program; then, judging whether a large number of filled invalid instructions, calling system level functions and obvious URL links exist in the sourcecodes; and finally detecting whether the Trojan horse exists in the web page through the assembled source codes in a deep level. Because most of the prior web pages with the Trojan horse are embeddedwith ShellCode, to execute the ShellCode in the web pages in a local computer, system vulnerability is needed to realize buffer overflow and enable the program to skip onto the ShellCode code segment. Thus, only by analyzing the condition of executing the ShellCode, and analyzing the source codes according to the execution characteristics, whether the web page to be detected is the web page Trojan horse can be quickly detected.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Skin color detection method and apparatus

The embodiment of the invention discloses a skin-tone detection method and a skin-tone detection device. The method comprises that: skin-tone pixels collected by a training specimen are clustered in a color space to obtain at least one skin-tone chroma class; a candidate skin-tone region in the training specimen is extracted, the distance between a chroma mean value of the candidate skin-tone region and the center of the skin-tone chroma class is computed, the training specimen is fallen under the skin-tone chroma class with the smallest distance to obtain a training subset corresponding to the skin-tone chroma class; the skin-tone probability distribution and the non skin-tone probability distribution of each training subset are statisticized to obtain a skin-tone probability model that each skin-tone chroma class corresponds to; an image to be detected is received, the candidate skin-tone region of the image to be detected is extracted, the distance between the chroma mean value of the candidate skin-tone region and the center of the skin-tone chroma class is computed, pixels in the image to be detected are made skin-tone discrimination according to the skin-tone probability model that the skin-tone chroma class with the smallest distance corresponds to, and the pixels discriminated as the skin-tone form a skin-tone region image. With the invention, the miss detection rate or the error detection rate of the skin-tone can be decreased.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Detection sorting device for steel balls

The invention relates to a detection sorting device for steel balls The detection sorting device comprises a rack, a feed mechanism, an unfolding mechanism, a stock stop, a detecting mechanism, a sorting mechanism and a material collecting mechanism, wherein the feed mechanism comprises a material storing box, a material discharging hopper and a material discharging pipe; the unfolding mechanism comprises a material transporting guide rail, the material transporting guide rail is a V-shaped linear guide rail, the material discharging hopper is connected with an initiating end of the material transporting guide rail through the material discharging pipe, and the detecting mechanism comprises a light source assembly and a camera assembly; the light source assembly is arranged on the material transporting guide rail in a sleeved mode, the sorting mechanism and the material collecting mechanism are arranged on the tail end of the material transporting guide rail, and the separate collection of defect steel balls and qualified steel balls are realized through the sorting mechanism and the material collecting mechanism. The detection sorting device provided by the invention has the advantages that the automatic feed, detection and sorting of the steel balls are realized, a detection process is that two-dimensional motion of a traditional unfolding disc is changed into single one-dimensional rolling of one-sided steel balls, the detection efficiency is high, a false drop ratio and an omission ratio are low, and the steel balls are not magnetized or the surfaces of the steel balls are not damaged in a detection process.
Owner:LUOYANG FANGZHI MEASUREMENT & CONTROL

Traditional Chinese medicinal material microscopic image noise filtering system and method adopting pulse coupling neural network

InactiveCN104732500AImprove quality inspectionEasy to identifyImage enhancementPattern recognitionMicroscopic image
The invention discloses a traditional Chinese medicinal material microscopic image noise filtering system and method adopting a pulse coupling neural network. A pulse coupling neural network model suitable for processing tissue image information is adopted for detecting traditional Chinese medicinal material microscopic images. When small-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, adaptive weighted filtering processing is carried out; when large-density pulse noise pollution happens to the traditional Chinese medicinal material microscopic images, the introduction dual-structure element mathematical morphology with edge detailed information kept is adopted for secondary filtering. Earlier foundations are laid for further improving quality testing, recognition and identification of traditional Chinese medicinal materials; higher noisy point detection performance is achieved, the noise fallout ratio and omission ratio are low, and the noise detection precision is high; detection time is short, and automatism is high; noise is removed, meanwhile, noise interference can be effectively filtered out, and image edge details and other information can be protected well.
Owner:TIANSHUI NORMAL UNIV

Cloth defect detecting method based on machine vision

The invention belongs to the technical field of image processing and pattern recognition, and relates to a cloth defect detecting method based on machine vision. The cloth defect detecting method includes performing power spectral density analysis for an image of a normal cloth texture and acquiring central frequency F and an azimuthal angle theta of the texture; constructing an SXL adaptive Gabor filter bank; filtering the image of the normal cloth texture to obtain a feature image group, and computing the mean value and the variance of each image of the feature image group; acquiring an image of to-be-detected cloth; filtering the image of the to-be-detected cloth to obtain a feature image group; performing threshold post-processing for the feature image group of the image of the to-be-detected cloth to obtain an absolute feature image group; carrying out normalization processing; fusing images and performing binarization processing for the images to obtain a detected binary image; and removing noise interference to obtain a final detection result. The S represents the number of the selected central frequency, and the L represents the number of the selected azimuthal angle. The cloth defect detecting method has the advantages of high universality and efficiency.
Owner:TIANJIN POLYTECHNIC UNIV

Aircraft Detection Method Based on Corner and Edge Information Fusion in Remote Sensing Image

The invention discloses a remote sensing image airplane detection method based on fusion of angle points and edge information. The method comprises the following steps of: executing edge detection on a remote sensing image; performing binarization on the detected remote sensing image; executing Harris angle point detection on the binarized remote sensing image; selecting regions in which the number of the angle points is in a predetermined range as candidate airplane regions; removing false target regions according to the number of bright pixels in each candidate airplane region; clustering the obtained image and marking a target airplane position, thus finally obtaining the number of obtained clusters and a central position of each cluster, wherein the number of the obtained clusters is the number of detected airplanes, and the central position of each cluster is the central position of a target airplane. The invention further discloses a remote sensing image airplane detection system comprising an edge connection unit, a binarization processing unit, an angle point detection unit, a candidate airplane region selection unit and a clustering unit which are orderly connected. Compared with the prior art, the method has the advantages of better detection effect and higher detection efficiency.
Owner:HOHAI UNIV
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