Correlation filter
Enhanced Image Object Recognition system using Correlation Filter based on Optimization
... by correlation filtering consists in calculation of cross correlation function between an test image and noisy query image, this work aims to bring a promising perspective for using correlation ...
6
ABSTRACT: In view of the boundary effect of the object tracking algorithm based on the correlation filter and
... the correlation filter is generally as follows: Firstly, the initial position of the object in the image is obtained, positive and negative samples are obtained by shifting the initial region of the object ...
7
A novel pitch evaluation of one dimensional gratings based on a cross correlation filter
... cross-correlation filter, if applied for the pitch evaluation of the 1D arbitrarily structured grating, can achieve the similar accuracy as the Fourier transformation based (FT) ...
13
Automatic Target Detection using Maximum Average Correlation Height Filter and Distance Classifier Correlation Filter in Synthetic Aperture Radar Data and Imagery
... of filter for target classification by train and test the images taken from Synthetic Aperture Radar (SAR) ...Average Correlation Height (MACH) Filter and Distance Classifier Correlation ...
5
ABSTRACT: In view of the boundary effect of the object tracking algorithm based on the correlation filter and
... In order to solve the boundary effect caused by the circular matrix, Galoogahi proposed the CFLB[8] algorithm, which uses the augmented matrix to construct a relatively negative sample to solve the boundary effect. ...
6
An Improved Kernelized Correlation Filter with the Histogram in Hue Saturation Value Color Space for Object Tracking
... years, Correlation Filter has been very popular in visual object tracking because of efficiency and ...The filter generally utilizes gray template or HOG[16] feature to represent object of interest ...
8
Latent Constrained Correlation Filter
... adaptive correlation filter by mapping multi-channel features into a Gaussian kernel space ...domain correlation filters. In [21], convolutional features correlation filters (CFCF) exploit ...
11
Do not lose the details: reinforced representation learning for high performance visual tracking
... Among the compared trackers using deep features, EDCF provides the best results with AUC scores of 66.5% and 63.5%, respectively. Compared to the Siamese network based trackers [Valmadre et al., 2017; Bertinetto et al., ...
9
Lane Recognition Algorithm Using the Hough Transform Based on Complicated Conditions
... In this paper, we propose a simple algorithm to eliminate inter-line marker interference. The method is divided into four parts. First, it uses Gaussian blur to remove the noise points, and then convert it to grayscale. ...
11
Correlation filters for detection of cellular nuclei in histopathology images
... of correlation filters is that the location(s) of target object(s) in an input image corresponds to peaks in the output of correlation of the input image with a template of the target ...A ...
12
A Novel Approach for Speckle Reduction and Enhancement of Ultrasound Images
... In recent years, ultrasonography is being used for effective diagnosis of various organs such as the heart, kidney, prostate, liver, ovary, uterus, thyroid glands etc. Unfortunately, one of its shortcomings is the low ...
7
A Method to Improve the Performance of Active Noise Control System Based on Time Delay Estimation
... In this paper, the application of correlation time delay estimation in ANC system is studied, and the influence of delay variation of main channel on system performance is expounded. The CTDE-FxLMS algorithm ...
6
The relationship between auditory efferent function and frequency selectivity in Man
... negative correlation indicated that subjects with greater efferent suppression o f DPOAEs had shallower upper filter slopes at ...negative correlation is found at many frequencies and with both types ...
283
Identification of key regulators of pancreatic cancer progression through multidimensional systems-level analysis
... of correlation analysis of the 49 miRNAs with 1150 predicted gene targets, previously identified from the sequence similarity-based ...inverse correlation, and the miR- NAs are colored based on their ...
20
Network Analysis on Safety Culture and Worker‘s Behaviour : A Forest of All Minimum Spanning Trees
... any correlation network ana ...to filter the informat ion contained in the network by using a minimal spanning tree ...MST-based filter in that analysis, Mantegna and Stanley [6] who popularize this ...
9
A Novel Ratio Based Approach on Weighted Frost Filter to Reduce Quantum Noise for Efficient Restoration of Digital Breast Mammograms
... Early detection of breast calcification or mass area plays a vital role in saving women from breast cancer. There are many technologies existing to detect breast cancer but with the mammographic images, earlier detection ...
10
P-class phasor measurement unit algorithms using adaptive filtering to enhance accuracy at off-nominal frequencies
... FIR filter in the “Basic” algorithm needs to evaluate the multiplications and additions across the entire time window at every computational frame, the cascaded averaging filters only need to evaluate the changes ...
8
Correlation between muscle structure and filter characteristics of the muscle joint system in three orthopteran insect species
... decrease in movement amplitude for the complete system over this frequency range and suggests that neuronal properties might contribute to the low-pass filter. SETi activity was found to increase with increasing ...
15
The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution
... The GFCR technique is based on the concept that the near- ideal filter for the spectral signal from a particular molecule comes from the molecule itself. The effective spectral reso- lution of the GFCR response ...
25
Integration of median filter and oriented field estimation for fingerprint identification system
... In the fingerprint identification system, there are two matching pattern techniques have been used; which is minutiae–based and images-based. The minutiae-based matching relied on less information, also offers a better ...
21