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
Distributed tracking systems and their optimal inference topology
Tập 1 - Trang 585-592 vol.1
This paper addresses the "distributed tracking" problem, or the problem of local
integration of estimation communicated by different sensors through a fixed
multicast communication topology. The recursive nature of this shared
information which can be delayed by communication links suggests a careful
integration because of the cross correlation in the estimation errors. The work
of Durrant-Whyte a...
#Information filters #Information filtering #Tree graphs #Robustness #Sensor phenomena and characterization #Network topology #Bandwidth #Broadcasting #Polynomials #Delay
A set of novel textural features based on 3D co-occurrence matrix for content-based image retrieval
Tập 2 - Trang 1403-1407 vol.2
This paper presents a set of novel texture features for content-based image
retrieval (CBIR). CBIR require new algorithms for the automated extraction and
indexing of salient image features, while texture features provide one important
cue for the visual perception and discrimination of image content, so they are
always one of the most popular representations in CBIR. The proposed features
are bas...
#Image retrieval #Content based retrieval #Image databases #Information retrieval #Feature extraction #Shape #Spatial databases #Data mining #Indexing #Visual perception
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
Experiments on individual classifiers and on fusion of a set of classifiers
Tập 1 - Trang 272-277 vol.1
In the last decades many classification methods and fusers have been developed.
Considerable gains have been achieved in the classification performance by
fusing and combining different classifiers. We experiment a new method for ship
infrared imagery recognition based on the fusion of individual results in order
to obtain a more reliable decision. To optimize the results of every class of
ship, w...
#Marine vehicles #Neural networks #Classification tree analysis #Infrared imaging #Image recognition #Nearest neighbor searches #Missiles #Performance gain #Optimization methods #Feedforward neural networks
Fusion under unknown correlation - covariance intersection as a special case
Tập 2 - Trang 905-912 vol.2
This paper addresses the problem of fusing several random variables (RVs) with
unknown correlations. A family of upper bounds on the resulting covariance
matrix is given, and is shown to contain the upper bound offered by the
covariance intersection (CI) algorithm proposed by Julier and Uhlmann (2000).
For trace minimization, the optimal one in this family is better than the one
obtained by CI exc...
#Computer aided software engineering #Covariance matrix #Upper bound #Random variables #Least squares methods #Fuses #Kalman filters #Uncertainty #Least squares approximation
An integrated method to detection, data association and tracking of multiple broadband signals
Tập 1 - Trang 727-734 vol.1
The present work explores a new method of integrated detection, localization,
and tracking of multiple broadband signals directly from array data, without the
requirement of distinct data association. The method is based on Maximum
A-Posteriori probability concepts and combines Maximum Likelihood direction
finding techniques with Kalman Filter theory. Implicit data association is given
by a Nonlin...
#Maximum a posteriori estimation #Target tracking #Sensor arrays #Gaussian noise #Sonar #Drives #Maximum likelihood detection #Maximum likelihood estimation #Constraint optimization #Kinematics
Fuzzy statistical classification method for multiband image fusion
Tập 1 - Trang 178-184 vol.1
We propose a new fusion algorithm based on the Dempster-Shafer theory of
evidence. The main interest of this method is a new distribution of mass
functions. Generally the methods used are the mass consonant distribution and
the partially mass consonant distribution. The originality of this work is to
define uncertain and inaccurate data by using a fuzzy statistical classification
algorithm such as...
#Image fusion #Remote sensing #Classification algorithms #Bayesian methods #Uncertainty #Distribution functions #Stochastic processes #Fuzzy reasoning #Statistical analysis #Pixel
Radar detection improvement by integration of multi-object tracking
Tập 2 - Trang 1249-1255 vol.2
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...
#Radar detection #Radar tracking #Sensor fusion #Fuses #Filtering algorithms #Kalman filters #Gaussian processes #Markov processes #Sampling methods #Frequency