Foreground detection is a basic but challenging task in computer vision. In this paper, a novel hybrid local texture based method is presented to model the background for complex scenarios and an image segmentation based denoising processing is applied to reduce noise. We combine the uniform pattern of eXtended Center-Symmetric Local Binary Pattern (XCS-LBP) and CenterSymmetric Local Derivative...

With computer vision the problem of speed comes up quite a bit. Images typically only contain a small amount of relevant information which needs to be processed. To help limit the information to be processed a method of pulling out the relevant information is needed. Background subtraction is an often used method to limit the information to be processed, since the background does not contain an...

Robust Principal Components Analysis (RPCA) gives a suitable framework to separate moving objects from the background. The background sequence is then modeled by a low rank subspace that can gradually change over time, while the moving objects constitute the correlated sparse outliers. RPCA problem can be exactly solved via convex optimization that minimizes a combination of the nuclear norm an...

For the purposes of foreground estimation, the true background model is unavailable in many practical circumstances and needs to be estimated from cluttered image sequences. We propose a sequential technique for static background estimation in such conditions, with low computational and memory requirements. Image sequences are analysed on a block-by-block basis. For each block location a repres...

Accurate and efficient foreground detection is an important task in video surveillance system. The task becomes more critical when the background scene shows more variations, such as water surface, waving trees, varying illumination conditions, etc. Recently, Robust Principal Components Analysis (RPCA) shows a very nice framework for moving object detection. The background sequence is modeled b...

PREMISE OF THE STUDY Self incompatibility (SI) in rare plants presents a unique challenge-SI protects plants from inbreeding depression, but requires a sufficient number of mates and xenogamous pollination. Does SI persist in an endangered polyploid? Is pollinator visitation sufficient to ensure reproductive success? Is there evidence of inbreeding/outbreeding depression? We characterized the m...

The point of departure for this paper is the observation that time central to study careers, although research on and careers not easy do expensive. does attempt minimize these practical difficulties, but nevertheless suggests new ways forward time-based research. First, we review reasons playing such a role in careers. Next, examine approach scholars from other disciplines, ranging philosophy ...