To efficiently classify and track video objects in a surveillance application, it is essential to reduce the amount of streaming data. One solution is to segment the video into background, i.e. stationary objects, and foreground, i.e. moving objects, and then discard the background. One such motion segmentation algorithm that has proven reliable is the Stauffer and Grimson algorithm. This paper...

Human motion recognition is one of the most important branches of human-centered research activities. In recent years, motion recognition based on RGB-D data has attracted much attention. Along with the development in artificial intelligence, deep learning techniques have gained remarkable success in computer vision. In particular, convolutional neural networks (CNN) have achieved great success...

This paper proposes a novel framework to segment hand gestures in RGB-D images captured by Kinect using human-like approaches for human-robot interaction. The goal is to reduce the error of Kinect sensing and consequently to improve the precision of hand gesture segmentation for robot NAO. The proposed framework consists of two main novel approaches. Firstly, the depth map and RGB image are ali...

Understanding and comparing images for the purposes of data analysis is currently a very computationally demanding task. A group at Australian National University (ANU) recently developed open-source code that can detect fundamental topological features of a grayscale image in a computationally feasible manner. This is made possible by the fact that computers store grayscale images as cubical c...

This paper presents a non-linear state observer-based integrated navigation scheme for estimating the attitude, position and velocity of micro aerial vehicles (MAV) operating in GPS-denied indoor environments, using the measurements from low-cost MEMS (micro electro-mechanical systems) inertial sensors and an RGB-D camera. A robust RGB-D visual odometry (VO) approach was developed to estimate t...

The digital camera is a powerful tool to capture images for use in image processing and colour communication. However, the RGB signals generated by a digital camera are device-dependent, i.e. different digital cameras produce different RGB responses for the same scene. Furthermore, they are not colorimetric, i.e. the output RGB signals do not directly correspond to the device-independent tristi...


 QUALITY ENHANCEMENT OF 3D MODELS RECONSTRUCTED BY RGB-D CAMERA SYSTEMS by
 Chuanbo Wang The University of Wisconsin-Milwaukee, 2015
 Under the Supervision of Professor Zeyun Yu Low-cost RGB-D cameras like Microsoft's Kinect capture RGB data for each vertex while reconstructing 3D models from objects with obvious drawbacks of poor mesh and texture qualities due to their hardware limitations. I...

Chromatic adaptation transforms are used in imaging systems to map image appearance to colorimetry under different illumination sources. In this paper, the performance of different chromatic adaptation transforms (CAT) is compared with the performance of transforms based on RGB primaries that have been investigated in relation to standard color spaces for digital still camera characterization a...

A new color coordinate system, which describes color by means of brightness, hue and saturation, is presented. The relative distance from the body diagonal to the nearest surface of the RGB color cube is used as the saturation. The conversions from and to the RGB space are described. Keywords—colour coordinate system, brightness, hue, saturation

The changes reflect our ongoing determination to offer the speediest publication times and the most accurate figure reproduction. No more paper please Our new instructions to authors are geared entirely toward online submission. Beyond saving trees, this switch to accepting only electronic manuscripts means faster processing of papers from submission to review to publication. Currently, most re...