Abstract

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.

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