Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

2014 results about "Detection threshold" patented technology

Detection threshold. The point at which the software determines the beginning and the end of the peak will shift depending on the threshold. The threshold should be set as low as possible. If it is set too low, the software will interpret baseline noise as peaks.

Intelligent safety monitoring system and method based on multilevel filtering face recognition

The invention discloses a method based on multilevel filtering face recognition. The method comprises the following steps of: collecting a face image of a detected man through an image collection system on a user terminal; automatically detecting and partitioning an exact position of a face from the collected face image by a face detection and positioning system, and performing intelligent indication and image quality real-time monitoring on a face image collection process through an automatic and real-time face image quality detection system; extracting characteristic points from the face image of the user terminal according to an image quality detection threshold value, and generating corresponding target face templates; and performing real-time comparison on a face to be recognized which is detected by a client and a known face database based on a multilevel filter searching algorithm through a background server, finding out the face template having the highest matching score, judging according to a preset threshold value of the system and determining identity information of the shot man in real time. The invention also provides an intelligent identity recognition and safety monitoring system based on a multilevel face filtering and searching technology with high reliability and flexibility.
Owner:CHANGZHOU RUICHI ELECTRONICS TECH

Video analysis based abnormal behavior detection method and system

The invention provides a video analysis based abnormal behavior detection method and system. The video analysis based abnormal behavior detection method comprises the following steps of extracting pedestrian foreground images from video frames; performing mesh generation on the video frames to divide the video frames into a plurality of mesh areas and setting the mesh areas in which the pedestrian foreground images are arranged to be movement areas; marking the movement areas through a nearest neighbor method and correlating the movement areas of the adjacent video frames; calculating light stream characteristics of the marked movement areas; obtaining a weighting direction histogram according to the light stream characteristics; calculating entropy of the weighting direction histogram; selecting a detection threshold value through a Gaussian mixture model, detecting whether an abnormal behavior is generated or not according to the detection threshold value and the entropy of the weighting direction histogram and updating the detection threshold value. The nested state machine based deduction process control method can automatically detect the abnormal behavior in a video scene, avoid the abnormal behavior disturbing the public plate order and endangering the public security and personal safety, reduce personnel workload and avoid potential risks caused by leak detection and error detection.
Owner:CRSC COMM & INFORMATION GRP CO LTD

Bad pixel detection and correction in an image sensing device

A sensor includes an array of photodetectors each generating an output signal of pixel data indicative of incident light intensity. This pixel data is read out from the array one line at a time and stored in a line buffer. A bad pixel processor includes a first buffer that stores pixel data obtained from the line buffer for a certain pixel in a currently read out line and pixel signal light data for pixels adjacent to the certain pixel. An included second buffer stores features that are indicative of whether the pixels in a previously read out line were identified as bad pixels. Using the information in the first and second buffers, the processor identifies whether the certain pixel is a bad pixel. In one operation, the processor precludes any finding of the certain pixel as being a bad pixel if the features in the second buffer indicate that a pixel in the previous line that is adjacent to the certain pixel in the current line was identified as a bad pixel. In another operation, the processor applies a variable detection threshold against the certain pixel, with the value of that threshold being set higher if the features in the second buffer indicate that a pixel in the previous line that is adjacent to the certain pixel in the current line was identified as a bad pixel. When a bad pixel is detected, a correction algorithm is executed to replace the pixel data for the bad pixel with data that more accurately represents, estimates or approximates the intensity of the light that is incident on the photodetector.
Owner:OVONYX MEMORY TECH LLC

Segmentation combination-based adaptive constant false alarm rate target detection method for SAR image

The invention discloses a segmentation combination-based adaptive constant false alarm rate target detection method for an SAR (synthetic aperture radar) image, and belongs to the technical field of synthetic aperture radars. The method comprises the following steps of: dividing a reference window into four sub windows, extracting uniformity statistics of the four sub windows and judging whether the sub windows are uniform; obtaining parameters for estimating background clutter models by adopting corresponding sub window combination strategies according to the non-uniform number, and then obtaining a detection threshold value by using a false alarm probability and a relationship between the clutter models; and comparing the pixel value of a current detection unit with the detection threshold value, judging whether a target exists, detecting the whole SAR image to be detected by adopting a running water form, and performing target fusion operation on the detected SAR image. According to the scheme, the method has low calculation quantity and simple operation, solves the problems of low detection probability, high false alarm rate and the like when the environment is complex and changeable and multiple targets are adjacent under high-resolution large scenes in the prior art, obviously improves the detection effect, and can keep good detection performance under various complex detection environments.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Method of adjusting the working range of a multi-analyte assay

InactiveUS20060177873A1Reduce available analyte concentrationHinder availabilityBiological testingSpecial data processing applicationsHigh concentrationMulti analyte
The invention features a method of adjusting the concentration of at least one but not all of a plurality of analytes in a fluid sample to match a known working range of detection of an analyte assay system, where each of the plurality of analytes may or may not be present within an expected initial concentration range having a high end and a low end, and at least one analyte has a high end expected concentration range that exceeds the high end of the working range of the assay system. The expected concentration of the high concentration analyte is adjusted by a proportional scaling constant, α, so that the high end of the adjusted expected concentration range is less than or equal to the high end of the working range, without adjusting the expected concentration range of at least one other of the plurality of analytes. Adjustment is preferably accomplished by adding to the solution phase of the assay one or more scaling agents, each scaling agent binding with specificity to an analyte and thereby preventing it from being detected by the assay system, e.g., by competing with binding to immobilized capture agent. This scaling method contrasts with prior methods, in which a concentration of available analyte is offset by a fixed amount to adjust the detectable threshold of the assay. Here, the amount of scaling agent is proportional to a scaling coefficient, and the scaling agent is present in the solution phase of the assay at high concentrations relative to analyte. Due to the equilibrium conditions established by the laws of mass transfer, the amount of free analyte remaining in solution in the presence of scaling agent is predictable and finite, and can be measured as a quantitative indicator of the initial concentration of the analyte in the sample.
Owner:COURTAGEN LIFE SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products