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Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

 

 

 

 

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Các bài báo tiêu biểu

Particle filtering for multi-target tracking and sensor management
Tập 1 - Trang 474-481 vol.1
A. Doucet, B.-N. Vo, C. Andrieu, M. Davy
In this paper, we present computational methods based on particle filters to address the multi-target tracking and sensor management problems. We present a jump Markov model of multi-target systems and an efficient particle filtering algorithm to perform inference. In addition, we also present a formulation of the sensor management problem and its solution using particle methods.
#Particle tracking #Target tracking #Particle filters #Sensor fusion #Sensor systems #State estimation #Nonlinear dynamical systems #Engineering management #Filtering algorithms #Optimal control
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
W.C. Torrez, D. Bamber, I.R. Goodman, H.T. Nguyen
There is an obvious need to be able to integrate both linguistic-based and stochastic-based input information in data fusion. In particular, this need is critical in addressing problems of track association, including cyber-state intrusions. This paper treats this issue through a new insight into how three apparently distinct mathematical tools can be combined: "boolean relational event algebra" (... hiện toàn bộ
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
Information fusion for image analysis: geospatial foundations for higher-level fusion
Tập 1 - Trang 562-569 vol.1
A.M. Waxman, D.A. Fay, B.J. Rhodes, T.S. McKenna, R.T. Ivey, N.A. Bomberger, V.K. Bykoski, G.A. Carpenter
In support of the AFOSR program in Information Fusion, the CNS Technology Laboratory at Boston University is developing and applying neural models of image and signal processing, pattern learning and recognition, associative learning dynamics, and 3D visualization, to the domain of Information Fusion for Image Analysis in a geospatial context. Our research is focused by a challenge problem involvi... hiện toàn bộ
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
Radar detection improvement by integration of multi-object tracking
Tập 2 - Trang 1249-1255 vol.2
Lingmin Meng, W. Grimm, J. Donne
This paper presents a new and simple approach to the problem of multiple sensor data fusion. We introduce an efficient algorithm that can fuse multiple sensor measurements to track an arbitrary number of objects in a cluttered environment. The algorithm combines conventional Kalman filtering techniques with probabilistic data association methods. A Gauss Markov process model is assumed to handle s... hiện toàn bộ
#Radar detection #Radar tracking #Sensor fusion #Fuses #Filtering algorithms #Kalman filters #Gaussian processes #Markov processes #Sampling methods #Frequency
Stochastic dynamic programming based approaches to sensor resource management
Tập 1 - Trang 608-615 vol.1
R.B. Washburn, M.K. Schneider, J.J. Fox
This paper describes a stochastic dynamic programming based approach to solve sensor resource management (SRM) problems such as occur in tracking multiple targets with electronically scanned, multi-mode radar Specifically, it formulates the SRM problem as a stochastic scheduling problem and develops approximate solutions based on the Gittins index rule. Novel results include a hybrid state stochas... hiện toàn bộ
#Stochastic processes #Dynamic programming #Resource management #Radar tracking #Target tracking #Sensor phenomena and characterization #Dynamic scheduling #Modems #Synthetic aperture radar #Strain control
Tracking and fusion for wireless sensor networks
Tập 2 - Trang 1023-1029 vol.2
M.L. Hernandez, A.D. Marrs, S. Maskell, M.R. Orton
Recent interest in the development of wireless sensor networks for surveillance introduces new problems that will need to be addressed when developing target tracking algorithms for use in such networks. Specifically the power and stealth requirements when combined with the wireless communications architecture will lead to potentially significant delays in the measurement collection process. The r... hiện toàn bộ
#Wireless sensor networks #Target tracking #Delay #Surveillance #Wireless communication #Power measurement #Density measurement #Measurement uncertainty #Robustness #Performance analysis
Author index
Tập 2 - Trang 1619 - 2002
The author index contains an entry for each author and coauthor included in the proceedings record.
Fixed and trained combiners for fusion of imbalanced pattern classifiers
Tập 1 - Trang 278-284 vol.1
F. Roli, G. Fumera, J. Kittler
In the past decade, several rules for fusion of pattern classifiers' outputs have been proposed. Although imbalanced classifiers, that is, classifiers exhibiting very different accuracy, are used in many practical applications (e.g., multimodal biometrics for personal identity verification), the conditions of classifiers' imbalance under which a given rule can significantly outperform another one ... hiện toàn bộ
#Biometrics #Speech processing #Bioinformatics #Voting #Biomedical signal processing #Computer vision #Mathematics #Remote sensing #Pattern classification #Face
On optimum distributed detection and robustness of system performance
Tập 1 - Trang 156-163 vol.1
Ming Xiang, Chongzhao Han
In this paper we consider some theoretical and practical issues regarding optimum distributed detection systems. The detection systems considered here are parallel distributed detection systems, with each sensor allowed to produce multi-bit output, and the performance optimization criterion is the Neyman-Pearson criterion. For conditionally independent sensor observations, it is shown that the opt... hiện toàn bộ
#Robustness #System performance #Sensor systems #Sensor fusion #System testing #Degradation #Bayesian methods #Electronic equipment testing #Design optimization #Constraint optimization
A case-based approach to network intrusion detection
Tập 2 - Trang 1084-1089 vol.2
D.G. Schwartz, S. Stoecklin, E. Yilmaz
This paper reports progress on creating a case-based implementation of the well-known Snort intrusion detection system. Snort is a simple rule-based system that is known to suffer limitations, including both failure to detect certain kinds of intrusions and the frequent raising of false alarms. We believe that a case-based reasoning approach can provide a framework in which to incorporate more sop... hiện toàn bộ
#Intrusion detection #Information security #Protection #Payloads #Open source software #Java #XML #Computer science #Knowledge based systems #Modems