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 backgrou...

For action recognition, the actor(s) and the tools they use as well as their motion are of central importance. In this paper, we propose separating foreground items of an action from the background on the basis of motion cues. As a consequence, separate descriptors can be defined for the foreground regions, while combined foreground-background descriptors still capture the context of an action....

This paper investigates a technique to apply the GrabCut algorithm to single-subject images without requiring human delineation of a bounding box to separate foreground from background pixels. The proposed technique uses a weighted combination of several known methods of distinguishing pixels in regions of an image. Implemented are means of hue and intensity, Canny line density and So-

Automatic Salient object detection has received tremendous attention from research community and has been an increasingly important tool in many computer vision tasks. This paper proposes a novel bottom-up salient object detection framework which considers both foreground and background cues. First, A series of background and foreground seeds are extracted from an image reliably, and then used ...

An innovative hierarchical image segmentation scheme is reported in this research communication. Unlike static/ spatially divided sub-images, the current innovation concentrates on object level hierarchy for segmentation of gray scale or color images into constituent component/ sub-parts. As for example, a gray scale document image may be segmented (binarized in case of two-level segmentation) ...

We consider the multi-class object detection approach based on a non-parametric multiplicative kernel, which provides both separation against backgrounds and feature sharing among foreground classes. The training is carried out through the SVM framework. According to the obtained support vectors, a set of linear detectors is constructed by plugging the foreground training samples into the multi...

One of the issues in Web page design is the selection of appropriate combinations of background and foreground colors to display textual information. Colors have to be selected in order to guarantee legibility for different devices, viewing conditions and, more important, for all the users, including those with deficient color vision. In this paper we present a tool to select background and for...