Precise foreground detection algorithm using motion estimation, minima and maxima inside the foreground object
Authors
Nawaz, MuhammadCosmas, John
Lazaridis, Pavlos I.
Zaharis, Zaharias D.
Zhang, Yue
Mohib, Hamdullah
Issue Date
2013
Metadata
Show full item recordAbstract
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.Citation
Nawaz, M., Cosmas, J., Lazaridis, P.I., Zaharis, Z.D., Yue Zhang, Mohib, H. (2013) 'Precise Foreground Detection Algorithm Using Motion Estimation, Minima and Maxima Inside the Foreground Object', Broadcasting, IEEE Transactions on , 59 (4): 725-731Publisher
IEEEType
ArticleLanguage
enISSN
0018-93161557-9611
ae974a485f413a2113503eed53cd6c53
10.1109/TBC.2013.2282733