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
ALMA: a new approach to data initial association
Tập 2 - Trang 1367-1373 vol.2
An adaptive limited memory approach (ALMA) is proposed to deal with the data
initial association problem in tracking-while-scanning systems in high clutter
environments. By using measurements in the window limited memory and exploiting
the target detection probability and receiver noise sampling information, the
initial track number is estimated. It in turn can be adopted to adjust the
initial cor...
#Radar tracking #Target tracking #Logic #Clutter #Personal digital assistants #Real time systems #Helium #Automation #Noise measurement #Object detection
Isolated vowel recognition using linear predictive features and neural network classifier fusion
Tập 2 - Trang 1565-1572 vol.2
In this work, various linear predictive feature vectors were used to train three
different automated neural networks type classifiers for the task of isolated
vowel recognition. The features used included linear prediction filter
coefficients, reflection coefficients, log area ratios, and the linear
predictive cepstrum. The three neural network classifiers used are the
multilayer perceptron, radia...
#Speech recognition #Neural networks #Cepstrum #Multi-layer neural network #Voting #Vectors #Nonlinear filters #Reflection #Multilayer perceptrons #Testing
Optimal linear unbiased filtering with polar measurements for target tracking
Tập 2 - Trang 1527-1534 vol.2
In tracking applications, target dynamics is usually modeled in the Cartesian
coordinates, while target measurements are directly available in the original
sensor coordinates. Measurement conversion is widely used such that the Kalman
filter in the Cartesian coordinates can be applied. A number of improved
measurement-conversion techniques have been proposed recently. However, they
have fundamenta...
#Nonlinear filters #Filtering #Target tracking #Coordinate measuring machines #Noise measurement #Electric variables measurement #Mathematics #Mathematical model #Degradation #Maximum likelihood detection
Tracking of spawning targets with multiple finite resolution sensors
Tập 2 - Trang 1511-1518 vol.2
In this paper tracking multiple spawning targets with multiple finite-resolution
sensors is presented with emphasis on the measurement-to-track association with
possibly unresolved measurements. The goal is to initialize new tracks of
spawned targets before they are resolved from the mother platform's so that one
has the ability to carry out early discrimination when they become resolved. The
mult...
#Target tracking #State estimation #Multidimensional systems #Lagrangian functions #Neural networks #Electric variables measurement #Testing #Nearest neighbor searches #Measurement uncertainty #Interference
Neural-like growing networks in system of technical vision of robot
Tập 2 - Trang 1470-1477 vol.2
The neural-like growing networks used in the system of technical vision of the
robot are under consideration in this paper. All operations made over the image
on a pre-design stage and also classification and storage of the information
about the images and their further identification are made extremely by
mechanisms of neural-like networks without usage of complex algorithms requiring
considerabl...
#Intelligent networks #Machine vision #Robot vision systems #Artificial neural networks #Biological neural networks #Multidimensional systems #Image storage #Calculus #Neural network hardware #Neural networks
A multiple model multiple hypothesis filter for systems with possibly erroneous measurements
Tập 1 - Trang 700-704 vol.1
In this paper a novel method to deal with possibly erroneous measurements is
presented. In target tracking applications it may be the case that measurements
that are obtained are incorrect in the sense that they do not comply with the
measurement model. Examples in (radar) target tracking are: Glint, Multipath,
Ambiguous Doppler, etc. The method that we present here is able to detect these
non-nor...
#Filters #Radar tracking #Target tracking #Decision making #History #Merging #Noise measurement #Doppler radar #Radar detection #Surveillance
Fuzzy multiple model tracking algorithm for manoeuvring target
Tập 2 - Trang 818-823 vol.2
This paper develops a tracking algorithm for maneuvering target based on fuzzy
logic inference (FMMTA). In place of the model probability computed intricately
in the IMM, filtering measurement innovations are tackled with the innovation
covariance, and the results are used as the input to a fuzzy inference system to
get the matched degrees for each filtering model in the model set designed. With
t...
#Target tracking #Fuzzy logic #Inference algorithms #Matched filters #Filtering #Technological innovation #Uncertainty #Additive noise #Noise measurement #Testing