The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Abductive inference (best-explanation reasoning) is a useful conceptual framework for analyzing and implementing the inferencing needed to integrate information from human and robotic sources. Inferencing proceeds from reports, to explanations for these reports, given in terms of hypothesized real-world entities and the processes by which the entities lead to the reports. Reports from humans and robotic...
We present a novel approach on objective non-reference image fusion performance assessment. The Global-Local Image Quality Analysis (GLIQA) approach takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is an extended version of the Universal Image Quality Index (UIQI) and uses the similarity between...
The paper seeks to highlight the challenges facing the aviation industry in the need to better understand and predict operational risk. It looks at the types of data available to improve the understanding of risk and discusses the need to bring it together using a common risk dasiacurrencypsila. The relationships between the different types of data are briefly addressed in regard to both understanding...
In noncooperative Iris recognition one should deal with uncontrolled behavior of the subject as well as uncontrolled lighting conditions. That means imperfect focus, contrast, brightness, and orientation among the others. To cope with this situation we propose to take iris images at both near infrared (NIR) and visible light (VL) and use them simultaneously for recognition. In this paper, a novel...
Fusion of observational data acquired by human observers and couched in linguistic form is a modern-day challenge for the fusion community. This paper describes a basic research effort examining various strategies for associating and exploiting such data for intelligence analysis purposes. An overall approach is described that involves Latent Semantic Analysis, Inexact Graph Matching, formal ontology...
Surveillance of large land, air or sea areas with a multitude of sensor and sensor types typically generates huge amounts of data. Human operators trying to establish individual or collective maritime situation awareness are often overloaded by this information. In order to help them cope with this information overload, we have developed a combined methodology of data visualization, interaction and...
We report here on our effort to investigate the types of hard/soft information that can be realistically collected in an urban operational environment and to generate a data set that can be used for the development of hard/soft data fusion algorithms. Specifically, we discuss: 1) sources of ldquohard informationldquo (i.e. information from physics-based sources) and ldquosoft informationrdquo (i.e...
Todaypsilas military and humanitarian operations involve multiple partners and agencies and rely on information culled from a variety of different sources, including humans, sensors, robots, etc. Efficient, timely exchange and evaluation of information is required for effective operations. However, the sheer volume of information prohibits integration of incoming information for the situation awareness...
Situation Awareness involves both the ability to identify and recognize the given activities and in assessing their importance through situation assessment. In this paper we look at a number of metrics that can be used in an information fusion framework to evaluate how well our assessment tools work at discriminating information from data. We begin our discussion by first providing a set of definitions...
In this paper we propose an approach for detecting anomalies in data from visual surveillance sensors. The approach includes creating a structure for representing data, building ldquonormal modelsrdquo by filling the structure with data for the situation at hand, and finally detecting deviations in the data. The approach allows detections based on the incorporation of a priori knowledge about the...
Evidence theory allows to build a large family of combination operators, based mostly on intersections and unions between the focal elements expressed by the experts, and multiplications and additions on the masses affected to these focal elements. We explore algebraic structures where these operators behave differently, masses being linguistic labels, or focal elements being more, or less, than an...
Todaypsilas asymmetric threats put new challenges on military decision making. As new technology develops we have new possibilities to support decision making in such environments. However, it is important that the tools developed take into account userspsila (commanderspsila) decision needs. This paper presents some initial user studies of Swedish commanders testing a prototype application developed...
The use of technology to assist human decision making has been around for quite some time now. In the literature, models of both technological and human aspects of this support can be identified. However, we argue that there is a need for a unified model which synthesizes and extends existing models. In this paper, we give two perspectives on situation analysis: a technological perspective and a human...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.