Objective video quality assessment for tracking moving objects from video sequences

Authors:
E. Mendi;M. Milanova;Y. Zhou;J. Talburt
Affiliations:
Department of Applied Science, University of Arkansas at Little Rock, Little Rock, AR;Department of Computer Science, University of Arkansas at Little Rock, Little Rock, AR;Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR;Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR
Venue:
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
Year:
2010

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Abstract

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.