Objective Video Quality Assessment for Tracking Moving Objects from Video Sequences

被引：0
|
作者：
Mendi, E. [1 ]
Milanova, M. [2 ]
Zhou, Y. [3 ]
Talburt, J. [3 ]
机构：
[1] Univ Arkansas, Dept Appl Sci, Little Rock, AR 72204 USA
[2] Univ Arkansas, Dept Comp Sci, Little Rock, AR 72704 USA
[3] Univ Arkansas, Dept Informat Sci, Little Rock, AR 72704 USA
来源：
ISPRA '09: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, ROBOTICS AND AUTOMATION | 2010年
基金：
美国国家科学基金会;
关键词：
Video Quality Assessment; Background Subtraction; Tracking Moving Objects from Video Sequences;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Video quality assessment has a great importance in several image processing applications. Recently, various objective video quality metrics have been proposed in order to predict the human visual perception and to achieve high correlation with the human perception of the image quality. In this paper, a novel objective quality metric is proposed for tracking moving objects in video sequences. The proposed metric particularly considers the moving objects in video sequences as visually important content. Foreground masks are produced by background subtraction based an approximate median filter. Existing metrics are then modified by the weighting factors of the foreground masks. Our results show that our metrics have better performance than existing objective metrics.
引用
收藏
页码：121 / +
页数：3
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