Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
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" (...
#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
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...
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
Particle filtering for multi-target tracking and sensor management
Tập 1 - Trang 474-481 vol.1
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
Reduced complexity spatio-temporal image-based tracking for maneuvering targets
Tập 1 - Trang 743-750 vol.1
There is significant motivation to develop reduced complexity filtering
algorithms (with explicit performance bounds) for tracking maneuvering targets.
Maneuvering target estimation is an important problem in target tracking due to
the uncertainty in maneuvers of the target. In a hostile environment a target
will try to avoid being tracked by maneuvering in such a way so that its motion
is difficu...
#Target tracking #Hidden Markov models #Nonlinear filters #Filtering algorithms #Trajectory #Linear systems #Uncertainty #Image sensors #Image generation #Noise generators
Network-centric MFA tracking architectures
Tập 1 - Trang 520-526 vol.1
Multiple frame association (MFA) based on multiple dimensional assignment
problems has been developed for a centralized communication and tracking
architecture, but such an architecture suffers from communication overloading,
single-point failure, and data latency over the network of platforms. Thus, one
must turn to decentralized architectures with the objectives being to affordably
preserve the ...
#Target tracking #Radar tracking #Delay #Nearest neighbor searches #Mathematics #Testing #Multidimensional systems #Radar clutter #Spaceborne radar #Sensor phenomena and characterization
Optimal bandwidth assignment for distributed sequential detection
Tập 2 - Trang 1550-1556 vol.2
In this paper, distributed sequential detection problems with quantized
observations are investigated. The observations available at each sensor am
first compressed to multi-bit sensor decisions (soft decisions) and sent to the
fusion center. At the fusion center, a sequential data fusion scheme is
implemented in order to reach a global decision. Optimal bandwidth distribution
among sensors is con...
#Bandwidth #Cost function #Sequential analysis #Sensor fusion #Sensor systems #Frequency selective surfaces #Design optimization #Algorithm design and analysis #Quantization #System performance
Planning for terrain-aided navigation
Tập 2 - Trang 1007-1014 vol.2
The purpose of this paper is to investigate the planning of a mobile trajectory
in order to use its own motion for improving its position estimation. This
optimization procedure relies upon two basic ingredients: 1) a reference
measurement map of the area of interest is available before departure, and 2)
real time measurement sensors placed aboard the mobile. The main objective is to
plan a trajec...
#Navigation #Area measurement #Cost function #Trajectory #Position measurement #Filters #Viterbi algorithm #Data mining #Stress #Leg
Exploiting MODTRAN radiation transport for atmospheric correction: The FLAASH algorithm
Tập 2 - Trang 798-803 vol.2
Terrain categorization and target detection algorithms applied to hyperspectral
imagery (HSI) typically operate on the measured reflectance (of sun and sky
illumination) by an object or scene. Since the reflectance is a non-dimensional
ratio, the reflectance by an object is nominally not affected by variations in
lighting conditions. Atmospheric correction (referred to as atmospheric
compensation,...
#Reflectivity #Atmospheric measurements #Object detection #Hyperspectral sensors #Hyperspectral imaging #Sun #Lighting #Layout #Optical propagation #Spectral analysis
A new definition of qualified gain in a data fusion process: application to telemedicine
Tập 2 - Trang 865-872 vol.2
A formal framework is proposed for defining data fusion processes. Particularly
the notion of qualified gain is proposed: gain related to representation,
completeness, accuracy and certainty. These notions are applied to a medical
monitoring and diagnosis problem where a dynamic Bayesian network is used to
model time series of observations and evolving states. The model aims at giving
a daily diag...
#Telemedicine #Biomedical monitoring #Medical diagnostic imaging #Patient monitoring #Bayesian methods #Diseases #Intelligent sensors #Sensor systems #Humans #Noise reduction
Tracking algorithm speed comparisons between MHT and PMHT
Tập 2 - Trang 846-851 vol.2
The Probabilistic Multi-Hypothesis Tracker (PMHT) is an emerging tracking
algorithm that appears to have the potential to compete with other
well-established tracking algorithms. One of the values that the PMHT brings to
the tracking problem is its computational efficiency that grows linearly as the
number of targets increases, whereas most tracking algorithms increase
exponentially as targets inc...
#Target tracking #Nearest neighbor searches #Modems #Real time systems #Time measurement #Covariance matrix #Robustness #Testing #Clocks #Current measurement