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
Target association using harmonic frequency tracks
Tập 2 - Trang 860-864 vol.2
In this paper we show the potential of using frequency tracks developed from
separated sensors and from multiple harmonics as a basis for correlation between
the received signals. Significant correlation is consistent with source
commonality, the received signals having originated from the same source, but
practical effectiveness will depend on false alarm rates, an issue not
addressed. The source...
#Target tracking #Power harmonic filters #Frequency estimation #Signal to noise ratio #Acoustic sensors #Delay estimation #Signal processing #Trajectory #Acoustic signal processing #Frequency modulation
Performance enhancement of the IMM estimation by smoothing
Tập 1 - Trang 713-720 vol.1
This paper proposes and investigates an enhancement of the IMM estimation
(referred to as smoothing-enhanced IMM or SE-IMM) at the expense of a reasonable
increase in computation. It is based on improved reinitialization of the IMM
filter by IMM smoothing. An approximate IMM smoothing (IMMS) algorithm is
provided. To maintain a minimum overall computational load, the SE-IMM scheme is
applied only ...
#Smoothing methods #Target tracking #Filters #Change detection algorithms #Testing #Estimation error #History
Structured Knowledge Source Integration and its applications to information fusion
Tập 2 - Trang 1340-1346 vol.2
Structured Knowledge Source Integration, or SKSI, is an ongoing research and
development project at Cycorp intended to enable the Cyc knowledge base to
integrate (access, query, assimilate, and merge) a variety of external
structured knowledge sources, such as databases, spreadsheets, XML or DAML
tagged text, GIS datasets, and queryable Web pages. With SKSI, the Cyc knowledge
base will be able to ...
#Object oriented modeling #Relational databases #Information analysis #Information management #Knowledge management #Military standards #Object oriented databases #Data visualization #Research and development #Sorting
Optimal detection in a distributed multisensor architecture
Tập 1 - Trang 34-40 vol.1
A detector defines a subset of inputs for which a detection is declared, as
such, the performance of a detector is limited by the input set. The optimal
detector which is presented in this paper defines the detection set which
provides the maximum probability of detection for a given probability of false
alarm. Further improvements in detection performance require a change to the
input set. Inclus...
#Detectors #Noise measurement #Matched filters #Performance analysis
Model-set design for multiple-model method. Part I
Tập 1 - Trang 26-33 vol.1
The most important problem in the application of the multiple-model approach to
estimation is the design of the model set. This paper deals with this
challenging topic in a general setting. Modeling of models as well as true mode
as random variables is proposed. Several general methods for design of model
sets, along with the initial model probabilities, are presented. They include
distribution ap...
#Design methodology #Mathematical model #Algorithm design and analysis #Quantization #Random variables #Adaptive estimation #Target tracking #Sufficient conditions #Performance gain #Guidelines
Bipolar logic and bipolar knowledge fusion
Tập 2 - Trang 1428-1433 vol.2
It is observed that Boolean logic is a unipolar logic defined in the unipolar
space {0,1}. It is argued that a unipolar system cannot be directly used to
represent and reason with the coexistence of bipolar truth. To circumvent the
representational and reasoning limitations of unipolar systems, a 4-valued
bipolar combinational logic BCL is introduced based on the ancient Chinese
Yin-Yang philosoph...
#Logic #Boolean functions #Polarization #Inference algorithms #Medical diagnostic imaging #Artificial intelligence #Knowledge representation
Sequential Monte Carlo tracking schemes for maneuvering targets with passive ranging
Tập 1 - Trang 482-488 vol.1
In this article we consider tracking a single maneuvering target in scenarios
where range information is not available, or is denied. This tracking problem is
usually referred to as passive ranging, or bearings-only tracking. Tracking any
single maneuvering target naturally admits a jump Markov system, in which a
collection of candidate dynamical systems is proposed to model various classes
of mot...
#Monte Carlo methods #Target tracking #Sliding mode control #Particle filters #Current measurement #Motion measurement #Particle measurements #Markov processes #Mathematics #Australia