Video Background Extraction Using Improved Mean Algorithm and Frame Difference Method

Ahmed Mahgoub Ahmed Talab,Xiong Jiang,Zhangcan Huang

doi:10.19026/rjaset.7.866

Ahmed Mahgoub Ahmed Talab, Xiong Jiang + Show 1 more

Open Access

https://doi.org/10.19026/rjaset.7.866

Copy DOI

Abstract

Background extraction is a crucial step in many automatic video content analysis applications. In this study, we propose new tracking approach by usage of two sequential images in limited period and by giving the specific threshold; then if the difference is greater than the threshold, the extracted image is classified as foreground image while if it is less than the threshold it classified as background. In addition, we propose extraction of background image from video using the improved mean algorithm. The Experimental results proof that the proposed method is fast and no shadow was recorded.

Highlights

Extraction of background image from a video sequence is a board problem with numerous practical applications include model-based tracking, intelligent transportation System, to human-computer interactions, in addition to that many other applications stipulated by many researchers (Yang et al, 1998; Bazzani et al, 2009)
More information of the tracked object can be collected from image sequence extracted from video; this information is obviously better than single image
The steps of the proposed algorithm are as follows: first, we propose new tracking approach by usage of two sequential images in limited period and by giving the specific threshold; if the difference is greater than the threshold, the extracted image is classified as foreground image while if it is less than the threshold it classified as background

Summary

Introduction

Extraction of background image from a video sequence is a board problem with numerous practical applications include model-based tracking, intelligent transportation System, to human-computer interactions, in addition to that many other applications stipulated by many researchers (Yang et al, 1998; Bazzani et al, 2009). This study proposed a new background extraction algorithm; use the mean algorithm and frame difference algorithm.

Results

Conclusion