International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 100 - Issue 4 |
Published: August 2014 |
Authors: P. Vijayakumar, A. V. Senthil Kumar |
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P. Vijayakumar, A. V. Senthil Kumar . Moving Object Segmentation using Enhanced Laplacian Thresholding Method for Video Surveillance. International Journal of Computer Applications. 100, 4 (August 2014), 13-17. DOI=10.5120/17512-8065
@article{ 10.5120/17512-8065, author = { P. Vijayakumar,A. V. Senthil Kumar }, title = { Moving Object Segmentation using Enhanced Laplacian Thresholding Method for Video Surveillance }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 100 }, number = { 4 }, pages = { 13-17 }, doi = { 10.5120/17512-8065 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A P. Vijayakumar %A A. V. Senthil Kumar %T Moving Object Segmentation using Enhanced Laplacian Thresholding Method for Video Surveillance%T %J International Journal of Computer Applications %V 100 %N 4 %P 13-17 %R 10.5120/17512-8065 %I Foundation of Computer Science (FCS), NY, USA
Identifying moving objects from a video surveillance is a fundamental and critical task in many computer vision applications. Video segmentation is one such application which has been studied for several decades and still remains a difficult problem for the system to automatically and accurately segment moving objects from video sequence with various backgrounds and global motions in real time. This paper proposes a new approach namely ELT (Enhanced Laplacian Thresholding) for real time video segmentation. The aim of this video enhancement method is to improve the visual appearance of the video and future-automated video processing like analysis, detection, segmentation, recognition, and surveillance for traffic, criminal justice systems and other areas that include analysis on large scale.