Precise foreground detection algorithm using motion estimation, minima and maxima inside the foreground object

Nawaz, Muhammad, Cosmas, John, Lazaridis, Pavlos, Zaharias, Zaharis, Zhang, Yue and Mohib, Hamdullah (2013) Precise foreground detection algorithm using motion estimation, minima and maxima inside the foreground object. IEEE Transactions on Broadcasting, 59 (4). pp. 725-731. ISSN 0018-9316

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Abstract

In this paper the precise foreground mask is obtained in a complex environment by applying simple and effective methods on a video sequence consisting of multi-colour and multiple foreground object environment. To detect moving objects we use a simple algorithm based on block-based motion
estimation, which requires less computational time. To obtain a full and improved mask of the moving object, we use an opening and-closing-by-reconstruction mechanism to identify the minima
and maxima inside the foreground object by applying a set of morphological operations. This further enhances the outlines of foreground objects at various stages of image processing.
Therefore, the algorithm does not require the knowledge of the background image. That is why it can be used in real world video sequences to detect the foreground in cases where we do not have a background model in advance. The comparative performance results demonstrate the effectiveness of the proposed algorithm.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools:	School of Computing and Engineering
Related URLs:	Author
Depositing User:	Pavlos Lazaridis
Date Deposited:	24 May 2017 09:30
Last Modified:	26 Mar 2018 18:45
URI:	http://eprints.hud.ac.uk/id/eprint/31973

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