Global images of aurora obtained by cameras on spacecraft are a key tool when studying the near-Earth environment. However, not only sensitive to auroral emissions produced precipitating particles, but also dayglow photoelectrons induced sunlight. Nightglow emission and scattered sunlight can contribute background signal. To fully utilize such in space science, contamination must be removed iso...

In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, other particles are incident the detectors while a single neutrino-induced event is being recorded. practice, this means that data from will be dominated by particles, both as source of triggers majority particle count in true neutrino-triggered events. work, we demonstrate no...

This proposal provides an introduction of the motivation behind and final end goal of our proposed project. We aim to implement an end-to-end pipeline for identifying and removing unwanted background crowds in photographs via object detection and inpainting. We also provide a brief exploration of the existing methods that we plan to build on.

Background removal is an application of image segmentation. There are many methods for image segmentation. In this paper, Fuzzy C-Means (FCM) is used for the image segmentation. In this paper, the clusters centroid is given as input from the histogram of the image. These inputs are updated and passed through FCM algorithm to get segmented images. The segmented images are added to remove the bac...

2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes cause failures of object tracking, gesture recognition and posture estimation. In this paper, we propose a method for detecting objects casting shadows in an indoor scene by modeling a pixel value as the total energy r...