Background Subtraction Based Segmentation Using Object Motion Feedback

2011 ◽  
Author(s):  
Yan-Chen Lu ◽  
Sheng-Yan Yang ◽  
Der-Chun Cherng
Keyword(s):  
Background Subtraction ◽  
Object Motion

Video inpainting using object motion rate and color variance in spatiotemporal domain

2020 ◽  
pp. 1-14
Author(s):  
Hui-Yu Huang ◽  
Chih-Hung Lin
Keyword(s):  
Reference Frame ◽  
Background Subtraction ◽  
Object Motion ◽  
Moving Object ◽  
Subtraction Method ◽  
Digital Videos ◽  
Rate Estimation ◽  
Model Based ◽  
Video Inpainting

Inpainting is a technique to enhance digital videos. Based on the spatiotemporal domain, we herein propose a video inpainting method to repair the removal objects in the videos. The method consists of an adaptive foreground model, the motion rate estimation of objects, and a repairing scheme. Initially, the adaptive foreground model based on the background subtraction method is developed. The model is used to estimate the motion rate for each moving object in the frame. According to the estimated motion rate, the model specifies an adaptive interval between the forwarding reference frame and backward reference frame to obtain the useful information and to repair the removal objects. The remaining un-repaired areas are filled using an exemplar-based inpainting technique with color variance. The results show that the proposed method can produce visually pleasing results. Additionally, it reduces the inpainting time and provides efficient computing.

scholarly journals ADVANCED MOTION DETECTION ALGORITHM FOR PATIENT MONITORING USING CELL PHONE WITH VIDEO DISPLAY

2013 ◽  
pp. 175-177
Author(s):  
K. VISHWANATHA ◽  
MURIGENDRAYYA M. HIREMATH
Keyword(s):  
Mobile Phone ◽  
Motion Detection ◽  
Background Subtraction ◽  
Detection Algorithm ◽  
Object Motion ◽  
Image Subtraction ◽  
Surveillance Camera ◽  
Web Camera ◽  
The Subject ◽  
E Mail

Proposed is a smart, reliable and robust algorithm for motion detection, tracking and activity analysis. Background subtraction is considered intelligent algorithms for the same. We use this to track the motion and monitor the movements of the subject in question. Mount the web camera focused to the patient. PC should have a unique external Internet IPAddress. Android mobile phone should be GPRS enabled. GSM technology is used for sending SMS. It is a client-server technology wherein client captures the images, checks for motion if any, discards the packets until motion is detected. Use background subtraction algorithm to check the motion. The surveillance camera does not move and has a capture of the static background it is facing. It uses image subtraction to determine object motion. It provides more reliable information about moving object, but it is so sensitivity to the dynamic changes such as lighting. Once motion is detected, camera stops monitoring further motion. Instead, it starts capturing the video. Simultaneously, SMS alert is sent to the responsible doctors and also alerting the medical staff with audio speaker in the hospital. Java mail API is used to mail the captured video to the entered e-mail IDs. Once the doctor demands for video, socket is established between the PC and the mobile phone and video (series of images) are streamed to the doctor’s mobile phone. Save live video of first few seconds at the server end for future use. Activate alert at the remote end.

Application of Motion Detection Algorithm in Patient Monitoring System

2013 ◽  
Vol 333-335 ◽  
pp. 646-649
Author(s):  
De Fang Liu ◽  
Ming Deng ◽  
Hai Yan Chen
Keyword(s):  
Mobile Phone ◽  
Motion Detection ◽  
Background Subtraction ◽  
Detection Algorithm ◽  
Object Motion ◽  
Image Subtraction ◽  
Ip Address ◽  
Surveillance Camera ◽  
Web Camera ◽  
Patient Monitoring System

The paper proposes a smart, reliable and robust algorithm for motion detection, tracking and activity analysis. Background subtraction is considered intelligent algorithms for the same. Mount the web camera focused to the patient. PC should have a unique external Internet IP Address. Android mobile phone should be GPRS enabled. GSM technology is used for sending SMS. It is a client-server technology wherein client captures the images, checks for motion if any, discards the packets until motion is detected. Use background subtraction algorithm to check the motion. The surveillance camera does not move and has a capture of the static background it is facing. It uses image subtraction to determine object motion. It provides more reliable information about moving object, but it is so sensitivity to the dynamic changes such as lighting. Once motion is detected, camera stops monitoring further motion. Instead, it starts capturing the video. Simultaneously, SMS alert is sent to the responsible doctors and also alerting the medical staff with audio speaker in the hospital. Java mail API is used to mail the captured video to the entered e-mail IDs. Once the doctor demands for video, socket is established between the PC and the mobile phone and video (series of images) are streamed to the doctors mobile phone. Save live video of first few seconds at the server end for future use. Activate alert at the remote end.

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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