Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Các bài báo tiêu biểu
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
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
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
Collaborative multi-modality target classification in distributed sensor networks
Tập 1 - Trang 285-290 vol.1
A new computing paradigm which utilizes mobile agents to carry out collaborative
target classification in distributed sensor networks is presented in this paper.
Instead of each sensor sending local classification results to a processing
center where the fusion process is taken place, a mobile agent is dispatched
from the processing center and the fusion process is executed at each sensor
node. Th...
#Collaboration #Intelligent networks #Multimodal sensors #Sensor fusion #Sensor phenomena and characterization #Mobile agents #Costs #Wireless sensor networks #Computer networks #Distributed computing
Support for reliability in self-organizing sensor networks
Tập 2 - Trang 973-980 vol.2
As wireless sensor networks are becoming increasingly common, distributed
embedded applications will exploit these sensor networks not only for
information dissemination, but also for in-network processing and other
distributed computation, such as sensor fusion, classification, and
collaborative target tracking. However, sensor nodes are prone to failure,
insufficient energy supply, high error ra...
#Wireless sensor networks #Sensor fusion #Collaboration #Maintenance #Computer networks #Distributed computing #Embedded computing #Target tracking #Error analysis #Condition monitoring
Computable rate of convergence in evolutionary computation
Tập 1 - Trang 88-93 vol.1
The broad field of evolutionary computation (EC)-including genetic algorithms as
a special case-has attracted much attention in the last several decades. Many
bold claims have been made about the effectiveness of various EC algorithms.
These claims have centered on the efficiency, robustness, and ease of
implementation of EC approaches. Unfortunately, there seems to be little theory
to support suc...
#Convergence #Evolutionary computation #Genetic algorithms #Genetic mutations #Laboratories #Physics computing #Robustness #Stochastic processes #Monte Carlo methods #Computational modeling
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
Interferometric image fusion: interferometry in space
Tập 2 - Trang 1221-1227 vol.2
Image fusion and information extraction from multiple spacecraft can occur after
each image is sampled and digitized. A more tantalizing, but difficult, approach
would be to optically phase multiple spacecraft flying in formation. Phasing of
multiple spacecraft allows for coherent addition of imagery resulting in an
optical system with a synthetic aperture as large as distance between the
spacecra...
#Image fusion #Optical interferometry #Space vehicles #Adaptive optics #Image resolution #Space technology #Data mining #Optical imaging #Extrasolar planet #System testing
Fusion of X-ray and geometrical data in computed tomography for nondestructive testing applications
Tập 1 - Trang 309-316 vol.1
X-ray computed tomography (CT) is widely used in nondestructive testing (NDT)
techniques. While in medical imaging, classical methods based on backprojection
(BP) or algebraic reconstruction techniques (ART) are satisfactory, in NDT
applications, data acquisition constraints are such that these methods do not
give satisfactory results. There is then a need for extra information and other
kinds of ...
#Computed tomography #X-ray imaging #Nondestructive testing #Image reconstruction #Biomedical imaging #Subspace constraints #Data acquisition #Radiography #Bayesian methods #Shape
Design optimisation of the Nadaraya-Watson fuser using a genetic algorithm
Tập 1 - Trang 327-332 vol.1
The Nadaraya-Watson (N-W) statistical estimator based on Haar kernels can be
used to implement a fuser based on empirical data. Fuser design essentially
consists of the following interrelated activities: select a set of n
observations from a pool of p prior observations; select a value for the
bandwidth. Optimal fuser design can therefore involve a very large search space.
This paper proposes the ...
#Algorithm design and analysis #Design optimization #Genetic algorithms #Kernel #Bandwidth #Sensor fusion #Sensor systems #Digital communication #Testing #Feedforward systems