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In this paper, we describe Object Pixel Mixture Classifiers (OPMCs) which classify an object not only apart from background but also from other objects based on Gaussian Mixture Model (GMM) classification. The proposed OPMC is different from general GMM based classifiers in the respect that novel pairwise threshold is applied for final classification. Pairwise thresholds are different thresholds depending...
Spatio-Temporal Interest Point (STIP) has been widely used for human action recognition. However, the performance of the STIP based methods are still limited in realistic datasets which often include large variations in illuminations, viewpoints and camera motions. One reason of the low performance is that the STIPs only reflect the local change in videos, which is not enough to obtain stable informative...
This research proves that in an undergraduate Basic Digital Technology course, communication between teachers and students can be increased through the use of feedback comment sheets, which is effective in performing conceptual teaching. With the use of conceptual teaching, students become more active towards learning, gaining intrinsic motivation and confidence as they communicate more with the teacher...
Over the last decades it has been observed that many companies around the world have started to adopt Distributed Software Development (DSD) to create competitive advantages. Aiming to increase such advantages, many of these companies add some team motivation techniques to DSD. However, the motivation of DSD teams reveals some peculiarities that should be taken into account. This paper presents a...
Augmented reality (AR) and virtual reality (VR) are becoming a part of everyday life with the advance of other technologies such as computer vision systems, sensing technologies, graphics, mobile computing, etc. Their primary goal is to help users achieve their goals effectively and efficiently with satisfaction. This paper describes the trends of how user studies have been incorporated into AR and...
In our research we use state-of-the-art Web and human language technology to create a language learning experience which blends foreign language acquisition with the user's everyday browsing activities. The language students can interact with their peers to foster social learning skills. The whole learning process is supported and supervised by a human instructor to offer encouragement and feedback...
The tutorial aims at getting auditors acquainted with an application, and an equivalent open web-service, that allow straightforwardly to create, administer and analyze tests designed to measure the emotions conveyed by multi-channel and single channel media signals/stimuli (text, pictures, voice, music and sounds, video, etc.).
Goal-Setting enhances learning by providing a sense of direction and purpose. Often only a few goals are suggested, as a result many learners fail to find the goals that they can relate to. To address this problem, we propose to extract a large number and variety of goals from social media. Learners can then observe goal-based messages from others and adopt the ones they find useful. Conceptually,...
Memetics is an approach to interpret, understand and possibly manage communication and knowledge evolution in a Darwinistic way. Meme Media are implementing Memetics. Intelligent Pad has been the earliest Meme Media middleware. Webble Technology is the most recent form of Intelligent Pad. Webbles are objects in a browser window that allow for direct manipulation by drag and drop. One may pick up any...
The algorithmic generation of detailed manufacturing plans close to an optimal solution is computationally unfeasible due to the enormous size of the space of potential solutions which makes searching a process of exponential time complexity. Human-computer interaction may lead to practical solutions. Conventional approaches rely on appealing visualizations. Modern media technologies allow for directly...
The purpose of this research is to build an automatic violin player. The method is to study the violin playing skill, and to develop the automatic mechanism. This research is an extension work of the previous violin robot. The new robot consists of two mechanical systems. The first system is the bowing mechanism, which is able to control the bowing velocity and position. The second system is the violin...
Cyber-physical systems are tight integrations of computation, networking, and physical objects. Advances recently witnessed in pervasive and ubiquitous information processing, driven by major breakthroughs in cyber-physical technology are paving the way towards a more hospitable and sustainable future via a more efficient management of our environment: homes, work places, open areas, etc. Examples...
Now entering its sixth consecutive year, the last four being in conjunction with DSN, the primary theme of WRAITS is “intrusion tolerance” (IT for short). IT starts with the premise that software-based components will always contain bugs and misconfigurations that can be discovered, exposed and enabled by the increasingly new ways in which distributed and networked computer systems are being created...
This paper demonstrates how 3D skeletal reconstruction can be performed by using a pose-sensitive embedding technique applied to multi-view video recordings. We apply our approach to challenging low-resolution video sequences. Usually skeletal reconstruction can be only achieved with many calibrated high-resolution cameras, and only blob detection can be achieved with such low-resolution imagery....
Most human centric business activities, like the handling of an insurance claim or the design of an IT solution, do not follow a formal process model word-by-word. While there are often underlying processes in place, the real business operation typically encompasses a wider scope of actions. It includes unstructured segments of human activities, additional documents and interactions, the integration...
Human action recognition and interpretation constitutes an important part of the video understanding. In this work, a novel action recognition system is developed that uses edge features obtained from optical flow power shapes which is represented as sequential gradient histograms. The presented system can achieve equal results to the complicated top action recognition systems of nowadays. The system...
This paper proposes an occlusion resistant automatic fall detection framework for smart environments. There are two major contributions of the proposed method. First, synchronized RGB and depth data are utilized together to capture both apperance and geometrical characteristics of human silhouettes in the environment. Second, unlike existing methods, a single Kinect sensor is mounted on a ceiling...
In this study, basic physical activities are classified using 3-axis accelerometer signals. The system is mainly proposed for mobile devices and basically objected to detect whether a person carrying this hardware is walking, running, or travelling in a car or bus. The developed system considers the accelerometer signals in constant bins and performs a real-time classification. The proposed system...
This study focuses on a number of control and coordination aspects of autonomous navigation in real-life urban traffic. By expanding the inherent hierarchy of the hybrid-state system formulation, a highly-structured yet modular architecture was developed to connect various traffic elements. The feasibility of coordination under vehicle-to-vehicle and vehicle-to-infrastructure communication was investigated...
Segmentation problem dates back to a couple of decades and many solutions have been proposed so far. The fact that there is still no solution with optimum performance justifies the efforts towards new studies. This study concentrates on keeping the user interaction in the loop for superior results. Proposed technique extends previous knowledge on monoscopic image segmentation to stereoscopic footage...
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