Method of Moving Region Detection for Static Camera

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

View Publication Info
 
 
Field Value
 
Title Method of Moving Region Detection for Static Camera
 
Creator Goel, Pravesh Kumar
Kotak, Paresh P.
Gupta, Amit
 
Subject Background modeling
background subtraction
Pixel level processing
foreground detection
Image Processing
 
Description The moving object detection from a stationary video sequence is a primary task in various computer vision applications. In this proposed system; three processing levels are suppose to perform: detects moving objects region from the background image; reduce noise from the pixels of detected region and extract meaningful objects and their features (area of object, center point of area etc.). In this paper; background subtraction techniques is used for segments moving objects from the background image, which is capable for pixel level processing. Morphology operation (Erosion and dilation) are used to remove pixel to pixel noise. In last level, CCL algorithm is used for sorts out foregrounds pixels are grouped into meaningful connected regions and their features.
 
Publisher KHALSA PUBLICATIONS
 
Date 2018-11-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Algorithm, System Model, Literary Survey, Experimental Studies etc.
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijct/article/view/3142
10.24297/ijct.v12i6.3142
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol 12 No 6 (2014); 3626-3633
2277-3061
 
Language eng
 
Relation http://cirworld.com/index.php/ijct/article/view/3142/pdf_376
 
Rights Copyright (c) 2014 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
https://creativecommons.org/licenses/by/4.0
 

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