The segmentation process was performed on the basis of print-tip groups. Applied sequentially on each print-tip group, the segmentation started with a fixed number of foreground seeds centered at the seed point generated from the gridding procedure. A foreground seed was here defined as a square 30 μm by 30 μm region forming the initial foreground region for each spot. Foreground regions were s...

The task of indoor/ outdoor audio classification using foreground speech segmentation is attempted in this work. Foreground speech segmentation is the use of features to segment between foreground speech and background interfering sources like noise. Initially, the foreground and background segments are obtained from foreground speech segmentation by using the normalized autocorrelation peak st...

1. Baseline Description For the baseline, we have devised a simpler segmentation strategy that derives from binary segmentation with slight modification. The problem of multilayer segmentation is considered as a combination of multiple classical foreground/background binary segmentation tasks that process concurrently. For each binary segmentation, we pick only one foreground layer and ignore t...

A method for the robust segmentation of foreground speech in the presence of background degradation using zero frequency filtered signal (ZFFS) is proposed. The speech signal from the desired speaker collected over a mobile phone is termed as foreground speech and the acoustic background picked by the same sensor that includes both speech and non-speech sources is termed as background degradati...

WMAP has provided CMB maps of the full sky. The raw data is subject to foreground contamination, in particular near to the Galactic plane. Foreground cleaned maps have been derived, e.g., the internal linear combination (ILC) map of Bennett et al. (2003), and the reduced foreground TOH map of Tegmark et al. (2003). Using S statistics we examine whether residual foreground contamination is left ...

This paper presents a novel MoG based method for foreground detection and segmentation in video surveillance. Normal MoG is different to deal with the foreground objects that stay in the scene for a long time and segment difficult foreground objects from one blob. We improve MoG by adopting posterior feedback information of Kalman filter tracking, to robustly modeling the background and to perf...

Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. The technique of 21 cm tomography promises to be a powerful tool for estimating cosmological parameters, constraini...

Object detection and recognition are important problems in computer vision. The challenges of these problems come from the presence of noise, background clutter, large within class variations of the object class and limited training data. In addition, the computational complexity in the recognition process is also a concern in practice. In this thesis, we propose one approach to handle the prob...