scholarly journals Arbitrary cylinder color model for the codebook based background subtraction

2014 ◽  
Vol 22 (18) ◽  
pp. 21577 ◽  
Author(s):  
Zhi Zeng ◽  
Jianyuan Jia
Keyword(s):  
Background Subtraction ◽  
Color Model

A MONITORING SYSTEM FOR SUPERMARKET BASED ON TRAJECTORY OF PALM AND ART

2010 ◽  
Vol 07 (01) ◽  
pp. 31-40
Author(s):  
YOUFU WU ◽  
GANG ZHOU ◽  
JING WU
Keyword(s):  
Monitoring System ◽  
Background Subtraction ◽  
Skin Color ◽  
Linear Prediction ◽  
Color Model ◽  
Subtraction Technique ◽  
Monitoring Task ◽  
Accurate Localization ◽  
Normal Behavior ◽  
Linear Prediction Model

In this paper, a monitoring system that can distinguish normal behavior from abnormal ones based on trajectory of palm for supermarket is designed. Our system brings some traditional algorithms and insights together to construct a framework for a new field called Supermarket Monitoring. In this project, only the moving hands are considered. To fulfill the automated monitoring task, the self-adaptive background subtraction technique and the YIQ skin color model are combined to detect the moving hands. In order for accurate localization at the palm, a new method is developed. After successfully detecting the moving hands, a linear prediction model is cited to realize the object tracking. The ART is used to distinguish normal behavior from abnormal ones by analyzing the trajectory characterizations of the moving hands. The experiment results show that this system is robust and effective.

scholarly journals Extended Codebook with Multispectral Sequences for Background Subtraction

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 703 ◽  
Author(s):  
Rongrong Liu ◽  
Yassine Ruichek ◽  
Mohammed El-Bagdouri
Keyword(s):  
Background Subtraction ◽  
Moving Objects ◽  
Statistical Information ◽  
Color Model ◽  
Adaptive Mechanism ◽  
Spectral Distortion ◽  
Spectral Distance ◽  
Information Divergence ◽  
Adaptive Codebook ◽  
Self Adaptive

: The Codebook model is one of the popular real-time models for background subtraction. In this paper, we first extend it from traditional Red-Green-Blue (RGB) color model to multispectral sequences. A self-adaptive mechanism is then designed based on the statistical information extracted from the data themselves, with which the performance has been improved, in addition to saving time and effort to search for the appropriate parameters. Furthermore, the Spectral Information Divergence is introduced to evaluate the spectral distance between the current and reference vectors, together with the Brightness and Spectral Distortion. Experiments on five multispectral sequences with different challenges have shown that the multispectral self-adaptive Codebook model is more capable of detecting moving objects than the corresponding RGB sequences. The proposed research framework opens a door for future works for applying multispectral sequences in moving object detection.

An Improved Moving Object Detection Algorithm Based on Colour Separation

2014 ◽  
Vol 556-562 ◽  
pp. 3074-3077
Author(s):  
Wei Zhang ◽  
Wei Hong Xu
Keyword(s):  
Background Subtraction ◽  
Recursive Algorithm ◽  
Detection Algorithm ◽  
High Rate ◽  
Color Model ◽  
Moving Target ◽  
Current Frame ◽  
Learning Factor ◽  
Color Separation ◽  
Background Updating

An improved background subtraction algorithm based on color separation method is improved to solve the problem of high rate of missing detection of moving targets in video surveillance. First, the algorithm implements the background subtraction of the current frame and the background frame for pixel blocks in independent RGB channels. Then the three foreground targets after denoising extracted respectively from three channels are combined by or operation to get a complete moving target. And then this algorithm removes the shadow in color model. After that the background frame from each channel is updated individually by recursive algorithm. The algorithm adopts a nonlinear way to change the learning factor for background updating. The experiments show that this improved algorithm can extract effectively foreground targets which are similar to the background’s grey level, with better accuracy and robustness.

Quantitative EPMA of nitrogen : A tricky element in the electron-probe microanalyzer

1992 ◽  
Vol 50 (2) ◽  
pp. 1622-1623
Author(s):  
G.F. Bastin ◽  
H.J.M. Heijligers
Keyword(s):  
Background Subtraction ◽  
Electron Probe ◽  
Detection System ◽  
Higher Order ◽  
Light Elements ◽  
Strong Suppression ◽  
Electron Probe Microanalyzer ◽  
Quantitative Epma ◽  
Peak Count ◽  
Lead Stearate

Among the ultra-light elements B, C, N, and O nitrogen is the most difficult element to deal with in the electron probe microanalyzer. This is mainly caused by the severe absorption that N-Kα radiation suffers in carbon which is abundantly present in the detection system (lead-stearate crystal, carbonaceous counter window). As a result the peak-to-background ratios for N-Kα measured with a conventional lead-stearate crystal can attain values well below unity in many binary nitrides . An additional complication can be caused by the presence of interfering higher-order reflections from the metal partner in the nitride specimen; notorious examples are elements such as Zr and Nb. In nitrides containing these elements is is virtually impossible to carry out an accurate background subtraction which becomes increasingly important with lower and lower peak-to-background ratios. The use of a synthetic multilayer crystal such as W/Si (2d-spacing 59.8 Å) can bring significant improvements in terms of both higher peak count rates as well as a strong suppression of higher-order reflections.

Effects of background substraction on differential kidney function measured by static scintigraphy with DMSA and dynamic scintigraphy with MAG 3

2008 ◽  
Vol 47 (01) ◽  
pp. 43-47 ◽  
Author(s):  
A. Smokvina ◽  
S. Grbac Ivanković ◽  
V. Licul ◽  
N. Girotto
Keyword(s):  
Kidney Function ◽  
Background Subtraction ◽  
Background Activity ◽  
Ratio Method ◽  
Uptake Ratio ◽  
Kidney Size ◽  
Significant Difference ◽  
Laboratory Changes ◽  
Dynamic Scintigraphy

SummaryThe aim of this study was to assess the influence of background subtraction (BS) on estimation of differential kidney function (DF) on the static scintigraphy with 99mTc dimercaptosuccinic acid (DMSA) and dynamic scintigraphy with 99mTc mercaptoacetyltriglicine (MAG3) and to establish possible differences between DF values estimated with these methods. Patients, methods: Patients (n = 106) were selected among those scheduled to static and dynamic scintigraphies within 3 months, with no interim clinical and laboratory changes, regardless the kidney pathology. DF was estimated according to the uptake ratio method. Four background regions of interest (ROIs) were applied, identical for both studies, and DF values were recalculated after BS. The corrected values were compared to the values before correction, separately for DMSA and MAG3, and between the studies. The results showed that ROIs used introduce variable results for the same patients, predominantly when noncorrected DF values were <45%. There were no significant differences between DF values (corrected and noncorrected) obtained from static and dynamic scintigraphy in all groups of patients. Since numerous reasons can bring to the errors in DF estimation when BS is used, the conclusions are that it would probably be more accurate to avoid BS, particularly when DF values are compared in a patient follow-up, and when kidney function is normal. BS should be used, but always in the same way, only when there is a significant difference in kidney size, or when DF is <25%, since background activity is then considerable. MAG3 and DMSA can be equally used for DF estimation and their results compared in patient follow-up.

Background Subtraction Based on a Combination of Local Texture and Color

2009 ◽  
Vol 35 (9) ◽  
pp. 1145-1150 ◽  
Author(s):  
Jian XU ◽  
Xiao-Qing DING ◽  
Sheng-Jin WANG ◽  
You-Shou WU
Keyword(s):  
Background Subtraction ◽  
Local Texture
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