scholarly journals Toward a route detection method base on detail call records

2016 ◽  
Author(s):  
Hadrien Hendrikx ◽  
Miguel Nunez-del-Prado-Cortez
Keyword(s):  
Detection Method ◽  
Method Base

Human Detection Based on a New Gradient CENTRIST Feature

2014 ◽  
Vol 543-547 ◽  
pp. 2716-2719
Author(s):  
Tao Li ◽  
Tao Xiang ◽  
Ren Jie Huang ◽  
Xue Zhu Zhao
Keyword(s):  
Real Time ◽  
Detection Method ◽  
Feature Vector ◽  
Detection Performance ◽  
Human Detection ◽  
Feature Descriptor ◽  
Image Patch ◽  
Method Base

This paper proposes a real-time and accurate human detection method base on a new Gradient CENTRIST feature descriptor. Firstly, the feature can characterizes not only local human appearance and shape but also implicitly represent the global contour. Secondly, it does not involve image pre-processing or feature vector normalization, and it only requires steps to test an image patch. Our main contribution is that a more reliable feature descriptor is found, which can get a better human detection. The experiments on the INRIA pedestrian dataset demonstrate that the detection performance is significantly improved.

Wavelet Entropy Based Floating Thread Defect Detection for Tufted Carpet

2013 ◽  
Vol 680 ◽  
pp. 591-596
Author(s):  
Lin Lin Zhai ◽  
Guang Feng Chen
Keyword(s):  
Defect Detection ◽  
Detection Method ◽  
Wavelet Entropy ◽  
Method Base

This paper proposed the floating thread defect detection method base on wavelet entropy for tufted carpet. The method first get the image from cam and preprocesses the captured image with filtering, then using Wavelet Entropy to judge whether there are defects in the image. For image consist of defects, apply further thresholding operation to the image. Closing operation was adopted to eliminate noise and highlight the defects. At last, nine samples image were tested to verify the feasibility of proposed method.

Seismic Damage Detection Using Pushover Analysis

2011 ◽  
Vol 255-260 ◽  
pp. 2496-2499 ◽  
Author(s):  
Mohammadreza Vafaei ◽  
Azlan bin Adnan ◽  
Mohammadreza Yadollahi
Keyword(s):  
Damage Detection ◽  
Detection Method ◽  
Ground Motions ◽  
Pushover Analysis ◽  
Damage Index ◽  
Seismic Damage ◽  
Nonlinear Behaviour ◽  
Method Base ◽  
Concrete Building ◽  
Story Drift

Inter-story drift ratio is a general damage index which is being used to detect damaged stories after severe ground motions. Since this general damage index cannot detect damaged elements also the severity of imposed damages on elements, a new real-time seismic damage detection method base on artificial neural networks was proposed to overcome this issue. This approach considers nonlinear behaviour of structures and not only is capable of detecting damaged elements but also can address the severity of imposed damages. Proposed algorithm was applied on a 3-story concrete building .The obtained results confirmed accuracy and robustness of this method.

A structured sub-pixel target detection method base on manifold learning method

2011 ◽  
Author(s):  
Bo Du ◽  
Dengyi Zhang ◽  
Pingxiang Li ◽  
Tao Chen ◽  
Ke Wu
Keyword(s):  
Target Detection ◽  
Manifold Learning ◽  
Detection Method ◽  
Learning Method ◽  
Method Base

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

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