Object models based on bag-of-words representations achieve state-of-the-art performance for image classification and object localization. However, as they consider objects as lose collection of information they fail to accurately locate object boundaries and thus produce inaccurate object segmentation. On the other hand, Markov Random Field based models used for image segmentation foFIG. 1 – 4...

Touch screens are immensely popular in the modern world. They have reached the pinnacle of their success in mobile phones. Touch screens, along with the Android OS, have completely revolutionized the cell phone and have led to the creation of the smart-phone as we know it today. These touch screens are generally resistive or capacitive. A third type exists, which is the image processing based t...

7 The goal of the presented change detection algorithm is to extract objects that appear in only one of two input images. A typical application is surveillance, where a scene is captured at different times of the day or even on different days. In this 9 paper we assume that there may be a significant noise or illumination differences between the input images. For example, one image may be captu...

Cytochrome oxidase (CO) dense blobs in primate striate cortex provide a striking example of parallel processing of visual information. The level of isolation of the blobs from the surrounding interblob tissue was investigated in the present study by combining CO staining with Golgi impregnation of dendritic arbors in the same tissue sections. The data are based on material from two marmoset and...

This article proposes a new method to evaluate basic characteristics of the dynamics of a coherent plasma structure (blob). With this method, one can evaluate the propagation angle of a blob in a two-dimensional plasma cross section as well as the blob velocity, size, and amplitude from one-dimensional data. The method is applied to blob measurements from the Lithium beam emission spectroscopy ...

One of the major, difficult tasks in automated video surveillance is the segmentation of relevant objects in the scene. Current implementations often yield inconsistent results on average from frame to frame when trying to differentiate partly occluding objects. This paper presents an efficient block-based segmentation algorithm which is capable of separating partly occluding objects and detect...

This paper presents an approach to classify static foreground blobs in surveillance scenarios. Possible application is the detection of abandoned and removed objects. In order to classify the blobs, we developed two novel features based on the assumption that the neighborhood of a removed object is fairly continuous. In other words, there is a continuity, in the input frame, ranging from inside...

We present a method for booting a PowerPC r © Linux r © kernel on an embedded machine. To do this, we supply the kernel with a compact attened-tree representation of the system's hardware based on the device tree supplied by Open Firmware on IBM r © servers and Apple r © Power Macintosh r © machines. The blob representing the device tree can be created using dtc the Device Tree Compiler that tu...