Aims and Scope

The Open Signal Processing Journal is an open access online journal which publishes research articles, reviews/mini-reviews, letters, and guest edited single topic issues in all areas of signal processing (analogue and digital). The journal covers the theories, methods, design and applications of signal processing systems.

The Open Signal Processing Journal, a peer reviewed journal, is an important and reliable source of current information on developments in the field. The emphasis will be on publishing quality articles rapidly and freely available worldwide.

Editor's Choice

Wavelet Multi-Scale Transform Based Foreground Segmentation and Shadow Elimination

Ye-Peng Guan

An algorithm using wavelet multi-scale transform for segmenting foreground moving objects and suppressing shadow is proposed. The optimal selection of threshold is automatically determined which does not require any complex supervised training, manual calibration or hypothesis. The proposed algorithm is efficient enough to segment foreground moving objects with low contrast against the background. The reference image is used to extract foreground no matter the objects enter the field of view before captured or not. The developed method is highly computationally cost-effective since it does not concern with complex computation model, color model or background statistics at a time. By comparisons, it has been shown that the proposed approach is more robust and efficient to detect foreground and suppress shadow during coping with different indoors or outdoors circumstances.

November 28, 2008

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