Modeling Individual Differences and Stressors Using the SAMPLE Cognitive Architecture

Aykroyd, P., Bachman, J., Harper, K., and Hudlicka, E. 14th Conference on Behavior Representations in Modeling and Simulation, Universal City, CA (May, 2005) Building on previous work by Hudlicka on the Methodology for Analysis and Modeling of Individual Differences (MAMID), we have developed a generic architecture for modeling the effects of individual differences and stressors […]

Situation Assessment in Urban Combat Environments

Das, S. Position paper at the invited panel on Issues and Challenges of Knowledge Representation and Reasoning Methods in Situation Assessment (Level 2 Fusion), Proceedings of the 8th International Conference on Information Fusion. Philadelphia, PA (July 2005) The two largest hurdles for situation assessment (SA, aka. Level 2 fusion) in contemporary urban combat environments are the […]

Symbolic Argumentation for Decision Making under Uncertainty

Das, S. Proceedings of the 8th International Conference on Information Fusion, Philadelphia, PA (July, 2005) We present a generic argumentation-based framework for making decisions under uncertainty by fusing knowledge from multiple sources. In this framework, arguments for decision options are expressed in a high-level knowledge representation language incorporating subjective probabilities from decision makers representing the argument […]

Factored Particle Filtering for Situation Assessment in Urban Environments

Das, S., Lawless, D., Ng, B., and Pfeffer, A. Proceedings of the 8th International Conference on Information Fusion. Philadelphia, PA (July) We present and demonstrate a particle filtering approach to situation assessment (SA ) for military operations in urban environments. Our approach views such an environment as a physical system whose state vector is composed […]

Mobile Agents for Distributed and Heterogeneous Information Retrieval

Das, S., Shuster, K., Wu, C., and Levit, I. Journal of Information Retrieval, Kluwer-Academic, vol. 8 (January 2005) The heterogeneous, distributive and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and multiplicity of data […]

Truth Maintenance System with Probabilistic Constraints for Enhanced Level Two Fusion

Das, S. and Lawless, D. Proceedings of the 8th International Conference on Information Fusion, Philadelphia, PA (July 2005) A Network-based Truth Maintenance System (NTMS) is presented that leverages Bayesian Belief Network (BN) technology for its truth maintenance mechanism. NTMS applies probabilistic versions of integrity constraints in the form of small BNs to the knowledge base, providing […]

Multi-objective Optimization to Support Rapid Air Operations Mission Planning

Gonsalves, P. and Burge, J SPIE Defense and Security Symposium, vol 5805, Orlando, FL (March) The importance of Time-Sensitive targets (TSTs) and Time-Critical targets (TCTs) within military air operations has been met with a significant investment in advanced technologies and platforms to meet these challenges. Developments in ISR systems, manned and unmanned air platforms, precision […]

Online Situation Awareness and Knowledge Aquisition

Gonsalves, P., Burge, J., and Call C. SPIE Defense and Security Symposium, vol 5809, Orlando, FL (March) In dynamic environments, effective decision-making is highly dependent on situation awareness (SA). Belief networks (BNs) are an ideal tool for modeling and meeting the requirements of tactical situation awareness. BNs emulate a skilled person’s information fusion and reasoning […]

Autonomous Detection of Indoor and Outdoor Signs

Holden, S., Snorrason, M., Goodsell, T., and Stevens, M. R. Proceedings SPIE Defense & Security, Orlando, FL (April 2005) Most goal-oriented mobile robot tasks involve navigation to one or more known locations. This is generally done using GPS coordinates and landmarks outdoors, or wall-following and fiducial marks indoors. Such approaches ignore the rich source of […]

Requirements and Approaches for Modeling Individuals Within Organizational Simulations

Hudlicka, E. and Zacharias, G. W. Rouse and K. Boff, eds. John Wiley & Sons, Inc., Hoboken, NJ (2005) The past decade has witnessed a growth of interest in modeling and simulation of individuals and organizations. From a research perspective, these simulations are important because they enable explorations of both individual and organizational decision-making mechanisms. […]

A Data Fusion Approach to Biosurveillance

Introne, J., Levit, I., Harrison, S., and Das, S. Proceedings of the 8th International Conference on Information Fusion, Philadelphia, PA (July, 2005) A significant hurdle in biosurveillance is how to detect attacks with unknown bioagents. One reason for this is that there is a high degree of variance in medical reporting in such cases, masking […]

START for Evaluation of Target Detection and Tracking

Irvine, J. M., Ralph, S., Stevens, M. R., Marvel, J., Snorrason, M., and Gwilt, D. Proceedings SPIE Defense & Security, vol 5807. Orlando, FL (April, 2005) A major challenge for ATR evaluation is developing an accurate image truth that can be compared to an ATR algorithm’s decisions to assess performance. While many standard truthing methods […]

Weather Forecast Uncertaintly Management and Display

Lefevre, R., Pfautz, J., and Jones, K. Proceedings of the 21st International Conference on Interactive Information Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology, San Diego, CA (January 2005) This paper presents initial results from the Weather Prediction Uncertainty Management And Representation (PUMAR) project sponsored by the Army Research Laboratory, White Sands Missile Range in […]

Single Camera Stereo for Mobile Robot Surveillance

McBride, J., Snorrason, M., Goodsell, T., Eaton, R., and Stevens, M. R. CVPR Workshop on Advanced 3D Imaging for Safety and Security, San Diego, CA (June, 2005) Mobile robot designers frequently look to computer vision to solve navigation, obstacle avoidance, and object detection problems such as those encountered in parking lot surveillance. Stereo reconstruction is […]

Single Camera Stereo Using Structure from Motion

McBride, J., Snorrason, M., Goodsell, T., Eaton, R., and Stevens, M. R. Proceedings SPIE Defense & Security, vol 5804, Orlando, FL (April, 2005) Mobile robot designers frequently look to computer vision to solve navigation, obstacle avoidance, and object detection problems such as those encountered in parking lot surveillance. Stereo reconstruction is a useful technique in […]

Sequential Correction of Perspective Warp in Camera-based Documents

Monnier, C. Ablavsky, V., Holden, S., and Snorrason, M. Proceedings of ICDAR 2005, Seoul, Korea (August 2005) Documents captured with hand-held devices, such as digital cameras often exhibit perspective warp artifacts. These artifacts pose problems for OCR systems which at best can only handle in-plane rotation. We propose a method for recovering the planar appearance […]

Meta-Information Visualization in Geographic Information Display Systems

Pfautz, J., Bisantz, A., Roth, E., Fouse, A., and Shuster, K. Proceedings of SID ’05, Boston, MA (May 2005) This paper describes the development of techniques in Geographic Information Systems to support the visualization of “meta-information” – qualifiers of incoming data that significantly influence a user’s perception of that data (e.g., uncertainty, recency, source). We […]

The Impact of Meta-Information on Decision-Making in Intelligence Operations

Pfautz, J., Fouse, A., Fichtl, T., Bisantz, A., Roth, E. Madden, S. Human Factors and Ergonomics Society 49th Annual Meeting, Orlando, FL (September, 2005) Decision-making in complex, dynamic, high-risk environments is clearly challenging. Part of this challenge is due to the presence of qualifiers of information, or meta-information (e.g., staleness, uncertainty, source), that alter a person’s information […]

START: A tool for Rapidly Generating Image-Truth and Evaluating ATR Performance

Ralph, S., Irvine, J., Stevens, M. R., and Snorrason, M. Proceedings of WACV, Breckenridge, CO (January, 2005) ATR algorithm evaluation requires thorough testing, using diverse data sets and several performance metrics. This is a challenging effort due to the very time consuming generation of image-truth data, heretofore generally created by a human operator on a frame-by-frame […]

An Image Metric-Based ATR Performance Prediction Testbed

Ralph, S., Irvine, J., Stevens, M. R., and Vanstone, D. Applied Imagery Pattern Recognition (AIPR) annual workshop, Washington, DC (October, 2005) Currently, automatic target recognition (ATR) evaluation techniques use simple models, such as quick-look models, or detailed exhaustive simulation. Simple models cannot accurately quantify performance, while the detailed simulation requires enumerating each operating condition. A […]

Applying Evolutionary Multi-Objective Optimization to Mission Planning for Time-Sensitive Targets

Rosenberg, B., Burge, J., and Gonsalves, P. Genetic and Evolutionary Computation Conference (GECCO) 2005, Washington, DC (June 2005) This paper describes an approach to air campaign mission planning using evolutionary multi-objective optimization. With the landscape of warfare constantly changing, timely and accurate employment of air assets for military operations has become even more crucial. Of […]

Parameter Adaptation for Target Recognition in LADAR

Stevens, M. R., Monnier, C., and Snorrason, M. Proceedings SPIE Defense & Security, Orlando, FL (April 2005) Automatic Target Recognition (ATR) algorithms are extremely sensitive to differences between the operating conditions under which they are trained and the extended operating conditions in which the fielded algorithms operate. For ATR algorithms to robustly recognize targets while […]

Video Surveillance at Night

Stevens, M. R., Pollak, J., Ralph, S., and Snorrason, M. Proceedings SPIE Defense & Security, Orlando, FL (April, 2005) The interpretation of video imagery is the quintessential goal of computer vision. The ability to group moving pixels into regions and then associate those regions with semantic labels has long been studied by the vision community. […]

Video Surveillance at Night

Stevens, M. R., Pollak, J., Ralph, S., and Snorrason, M. Proceedings of WACV, Breckenridge, CO (January, 2005) In this paper, we focus on the problem of automated parking lot surveillance at night using visible-and-nearinfrared cameras (VNIR). These sensors are low cost (hundreds of US dollars) when compared with thermal infrared sensors (thousands of dollars) and […]

TRACE: An Ontology-based Approach to Generic Traceability Tools for Human Behavior Models

Young, A. and Harper, K. 14th Conference on Behavior Representations in Modeling and Simulation, Universal City, CA (May, 2005) This paper presents TRACE, a set of generic, ontology-based traceability tools and algorithms that support the human behavior model (HBM) developer/analyst in gaining insight into a given model’s reasoning and decision processes. Developing generic HBM traceability […]