|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 100 - Number 4
|Year of Publication: 2014
|Authors: P. Vijayakumar, A. V. Senthil Kumar
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
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.