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
Information fusion based on fast covariance intersection filtering
Tập 2 - Trang 901-904 vol.2
Information fusion based on Kalman filtering often suffers from the lack of
knowledge about cross correlations between the noise-corrupted signal sources.
Covariance intersection filtering provides a general framework for information
fusion with incomplete knowledge about the signal sources since it yields
consistent estimates for any degree of cross correlation. However, covariance
intersection f...
#Information filtering #Information filters #Covariance matrix #State estimation #Yield estimation #Kalman filters #Cost function #Nonlinear filters #Statistics #Estimation error
Tag-rased vision: assisting 3D scene analysis with radio-frequency tags
Tập 1 - Trang 412-418 vol.1
In image sensing and processing, ambiguities arise when only one source of
information is used. Thus, 3D object recognition and localization is a difficult
task when using intensity image as single input. This paper presents a machine
vision system that uses a Radio Frequency (RF) Tag device to identify objects
prior to locating them visually. The tag system consists of a tag reader that
can inter...
#Image analysis #Radio frequency #Machine vision #Visual databases #Information resources #Object recognition #Radiofrequency identification #Information retrieval #Image databases #Image processing
Robust object tracking with fuzzy shape estimation
Tập 1 - Trang 64-71 vol.1
This work presents a novel, efficient and robust approach for object tracking
based on sequences of video images. A fuzzy system has been developed to ponder
update decisions both for the trajectories and shapes estimated for targets with
the set of image regions (blobs) extracted from each frame. Several numeric
heuristics, describing the quality of gated groups of blobs and predicted
tracks, are...
#Robustness #Shape #Target tracking #Fuzzy systems #Trajectory #Performance analysis #Surveillance #Airports #Aircraft #Space vehicles
Sensor validation and fusion using the Nadaraya-Watson statistical estimator
Tập 1 - Trang 321-326 vol.1
The paper describes a novel integrated sensor validation and fusion scheme based
on the Nadaraya-Watson statistical estimator. The basis of the sensor validation
scheme is that observations used to implement the estimator are obtained from
valid sensor readings. Pattern matching techniques are used to relate a
measurement vector that is not consistent with the training data to the closest
a-priori...
#Sensor fusion #Sensor phenomena and characterization #Chemical sensors #Sensor systems #Sensor arrays #Biomedical measurements #Thick film sensors #Biosensors #Chemical and biological sensors #Kernel
Optimization of distributed detection networks with tree structures
Tập 1 - Trang 164-169 vol.1
This paper considers the optimization of tree networks consisting of N nodes
under Bayesian criterion. To optimize the system performance, the decision rules
at each node must be optimized simultaneously. When the sensors are
conditionally independent, it can be shown that the optimal decision rules at
each node can be reduced to likelihood ratio tests, and the necessary conditions
for the optimum...
#Tree data structures #Testing #Sensor fusion #Bayesian methods #Sensor systems #System performance #Design optimization #Tree graphs #Costs #Telecommunication network reliability
A window cumulative normalized distance based phase optimization track association model
Tập 2 - Trang 1355-1360 vol.2
A novel approach is proposed, which is able to overcome several shortcomings
existing in the typical distributed multi-sensor track association (MSTA)
model-the sequential minimum normalized distance nearest neighbor (SMNDNN)
correlation and the sequential minimum mean square error (SMMSE) fusion. By
considering the mutual dependency in the track estimation errors between
different sensors and usi...
#Estimation error #Phase measurement #Stability #Target tracking #Helium #Computer aided instruction #Automation #Nearest neighbor searches #Mean square error methods #Surveillance
Synchronized GMTI radar collection management in a coalition environment
Tập 2 - Trang 1046-1053 vol.2
Surveillance of ground targets from airborne systems is increasingly of interest
in tactical operations. Collection management synchronization can provide
improved tactical data products for multi-platform operations. Synchronization
of collection management is considered for coalition operations involving
multiple airborne GMTI radar systems. An emerging synchronization collection
management plan...
#Environmental management #Surveillance #Asset management #Target tracking #Resource management #Airborne radar #Technology management #Contracts #Meeting planning #Radar detection
Littoral tracking using particle filter
Tập 2 - Trang 935-942 vol.2
Littoral tracking refers to the tracking of targets on land and in sea near the
boundary of the two regions. A ground-moving target continues to move on land
and can not enter the sea. Similarly, a sea-moving target moves in the sea and
the land serves as an infeasible region. Enforcing infeasible regions or hard
constraints in the framework of the Kalman filter or interacting multiple model
(IMM)...
#Particle tracking #Particle filters #Target tracking #Sea measurements #Kinematics #Particle measurements #Sea surface #Sampling methods #Boundary conditions #Robustness