| Monday, July 25, 2005 |
|
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|
| 16:00 |
18:00 |
Registration
[Wyndham Ballroom A Foyer] |
Registration [Wyndham Ballroom A Foyer] |
|
|
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|
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| 18:00 |
19:50 |
Tutorial
NT1 [Philadelphia Room North] |
Tutorial NT2 [Philadelphia Room South] |
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|
| Opportunistic
Information Fusion (Prof Subhash Challa) |
Signal
Processing for Sensor Networks (Prof Raghuveer M. Rao) |
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| 19:50 |
20:10 |
Break |
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| 20:10 |
22:00 |
|
Opportunistic
Information Fusion (Prof Subhash Challa) - Continued |
Signal
Processing for Sensor Networks (Prof Raghuveer M. Rao) - Continued |
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| Tuesday, July 26, 2005 |
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|
|
| 7:00 |
8:00 |
Registration
[Wyndham Ballroom A Foyer] |
Author Breakfast [Room 10] |
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| 8:00 |
9:00 |
Plenary Speech (Dr.
Theodore Bially, Director, DARPA/IXO) [Wyndham Ballroom A] |
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| |
|
Tracking
- Multiple Model Methods (James K Beard) [Philadelphia Room North] |
Image
Fusion - Registration Methods (Pramod Varshney) [Philadelphia Room South] |
Belief
Analysis - Bayesian Processing (Pierre Valin) [Room 3 & 4] |
Applications
- Distributed Tracking and Fusion Special Session (David Nicholson &
Chee-Yee Chong) [Room 5 & 6] |
|
|
|
|
|
| 9:10 |
9:30 |
Manoeuvring
Target Tracking with the IMM-VDA Tracker (Barbara La Scala) |
Multimodal
Image Registration with Applications to Image Fusion (Jamie Heather) |
A
Bayesian Fusion Approach to Change-points Analysis of Processes (Serge
Reboul) |
A
Stochastic Model for Natural Feature Representation (Suresh Kumar) |
|
1 |
49 |
92 |
136 |
| 9:30 |
9:50 |
VS-IMM
Using Map Information for a Ground Target Tracking (Benjamin Pannetier) |
Robust
Multi-Sensor Image Registration by Enhancing Statistical Correlation (Kyoung
Soo Kim) |
Sequential
Auxiliary Particle Belief Propagation (Mark Briers) |
Distributed
Fusion and Communication Management for Target Identification (Chee-Yee
Chong) |
|
2 |
50 |
93 |
137 |
| 9:50 |
10:10 |
Pose
Angular-Aiding for Maneuvering Target Tracking (Chun Yang) |
Sensor
Quality Evaluation in a Multi-Camera System (Lauro Snidaro) |
A
Fusion Process Based on Belief Theory for Classification of Facial Basic
Emotions (Alice Caplier) |
Vision
System for Decentralised Wide Area Surveillance using Multiple Nodes (Richard
Alexander) |
|
3 |
51 |
94 |
138 |
| 10:10 |
10:30 |
Multiple
Model Tracker Based on Gaussian Mixture Reduction for Maneuvering Targets in
Dense Clutter (Peter Maybeck) |
Sensor
Model Appraisal for Image Registration (Eugene Lavely) |
Opportunistic
Information Fusion: A New Paradigm for Next Generation Networked Sensing
Systems (Subhash Challa) |
Rich
Probabilistic Representations for Bearing Only Decentralised Data Fusion (Ben
Upcroft) |
|
4 |
52 |
95 |
139 |
| 10:30 |
10:50 |
Morning Break [Wyndham Ballroom A] |
|
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| |
|
Tracking
- Tracking in Clutter (Alex Chan) [Philadelphia Room North] |
Image
Fusion - Classification (George Tadda) [Philadelphia Room South] |
Belief
Analysis - Bayesian and Sensor Networks (John Salerno) [Room 3 & 4] |
Applications
- Network Centric (Sergio Gigli) [Room 5 & 6] |
|
|
|
|
|
| 10:50 |
11:10 |
Non-Parametric
Target Tracking in Non-Uniform Clutter (Darko Musicki) |
Hyperspectral
Image Fusion Using Spectrally Weighted Kernels (Baofeng Guo) |
Inference
with Importance Sampling for Dynamic Bayesian Networks (K. C. Chang) |
A
Distributed Data Fusion Approach for Mobile Ad-Hoc Networks (Todd Martin) |
|
5 |
53 |
96 |
140 |
| 11:10 |
11:30 |
Smoothing
Framework for Automatic Track Initiation in Clutter (Rajib Chakravorty) |
How
Well do Discrete Bayesian Methods Represent a True Model for Each Class?
(Robert Lynch) |
Learning
Articulated Motion Structures with Bayesian Networks (Fabio Ramos) |
Quality
of Information for Data Fusion in Net Centric Publish and Subscribe
Architectures (M. Edwin Johnson) |
|
6 |
54 |
97 |
141 |
| 11:30 |
11:50 |
Set
Based Tracking in Clutter as a Percolation Process (Fiona Fletcher) |
A
Comparison of ROC Curves for Label-Fused Within and Across Classifier Systems
(Christine Schubert) |
KNN
Particle Filters for Dynamic Hybrid Bayesian Networks (H. -D. Chen) |
Threat
Evaluation And Weapons Allocation In Network-Centric Warfare (Martin Oxenham) |
|
7 |
55 |
98 |
142 |
| 11:50 |
12:10 |
Clutter
Map and Target Tracking (Darko Musicki) |
Classification
Fusion by Decision Templates for Insulating Part Control (Emmanuel Ramasso) |
Adaptive
Human Sensor Model in Sensor Networks (Tobias Kaupp) |
Surveillance
of Wide Areas by Means of a Random Sensor Network: an Heterogeneous Sensor
Approach. (Alfonso Farina) |
|
8 |
56 |
99 |
143 |
| 12:20 |
13:30 |
Lunch [Wyndham Ballroom A] |
|
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| |
|
Tracking
- Nonlinear Methods (James K Beard) [Philadelphia Room North] |
Image
Fusion - Pattern Recognition (Robert Lynch) [Philadelphia Room South] |
Belief
Analysis - AI Techniques (Simon Julier) [Room 3 & 4] |
Applications
- Defense Applications (Simon Julier) [Room 5 & 6] |
|
|
|
|
|
| 13:30 |
13:50 |
Distributed
Target Tracking for Nonlinear Systems: Application to Bearings-Only Tracking
(Thomas Brehard) |
Fusion
of Two Classifiers for Speaker Identification: Removing and not Removing
Silence (Haoji Hu) |
Influence
of Timestamping Error on Data Inaccuracy (Olivier Bezet) |
Recognizing
Mobile Organizations from Column Formations using Hierarchical Hidden Markov
Models: a Simulation Experiment (Fredrik Stavfors) |
|
9 |
57 |
100 |
144 |
| 13:50 |
14:10 |
Optimal
Mixture Approximation of the Product of Mixtures (Oliver C. Schrempf) |
Pairwise
Classifier Combination in the Framework of Belief Functions (Benjamin Quost) |
Nonlinear
Blind Sensor Fusion and Identification (Sam Roweis) |
Non-linear
Bayesian CBRN Source Term Estimation (Peter Robins) |
|
10 |
58 |
101 |
145 |
| 14:10 |
14:30 |
The
Shifted Rayleigh Filter for Bearings Only Tracking (John M C Clark) |
Automated
Selection of Fusion Parameters Through a Segmentation of Multi-Sensor ROC
Curves (Peter Pachowicz) |
Application
of Fuzzy Preference Modelling to the Fusion of Sensory Profile Data
(Pierre-Alexandre Hébert) |
Machine
Learning based Text Analysis for Intelligence Collation (Claire Thie) |
|
11 |
59 |
102 |
146 |
| 14:30 |
14:50 |
Tighter
Alternatives to the Cramer-Rao Lower Bound for Discrete-Time Filtering
(Steven Reece) |
A
Multiple Classifier Approach for Multisensor Data Fusion (Devi Parikh) |
Bridging
Merging Prioritized Information in Possibilistic Logic and Inconsistency
Handling Methods (Souhila Kaci) |
A
Probabilistic Chemical Sensor Model for Data Fusion (Peter Robins) |
|
12 |
60 |
103 |
147 |
| 14:50 |
15:10 |
Afternoon Break [Wyndham Ballroom A] |
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| |
|
Tracking
- SMC Tracking (Darko Musicki) [Philadelphia Room North] |
Image
Fusion - Image Fusion Special Session (Rick Blum) [Philadelphia Room South] |
Belief
Analysis - Ontologies (John Salerno) [Room 3 & 4] |
Applications
- Fusion Applications (George Tadda) [Room 5 & 6] |
|
|
|
|
|
| 15:10 |
15:30 |
Mobility
Tracking in Cellular Networks with Sequential Monte Carlo Filters (Lyudmila
Mihaylova) |
Minimax
Robust Image Fusion using an Estimation Theory Approach (Rick Blum) |
Ontology-Driven
Information Integration to Operational Decision Support (Alexander Smirnov) |
Fusing
Disparate Information within the 4D/RCS Architecture (Craig Schlenoff) |
|
13 |
61 |
104 |
148 |
| 15:30 |
15:50 |
Online
Multitarget Detection and Tracking Using Sequential Monte Carlo Methods
(Junfeng Li) |
Multiframe
Image Fusion Using the Expectation-Maximization Algorithm (Jinzhong Yang) |
Ontology
Meta-Model For Building A Situational Picture Of Catastrophic Events (Eric
Little) |
Development
of an Integrated GUI Framework for Post Disaster Visualization (Matthew
Mandiak) |
|
14 |
62 |
105 |
149 |
| 15:50 |
16:10 |
Sequential
Clustering with Particle Filters - Estimating the Number of Clusters from
Data (Johan Schubert) |
A
Statistical Multiscale Approach to Image Segmentation and Fusion (Alessandro
Cardinali) |
The
Semantic Challenge for Situation Assessment (Chris Nowak) |
Opportunistic
Sensor Resource Management for Extended Regions (Sang Chin) |
|
15 |
63 |
106 |
150 |
| 16:10 |
16:30 |
Sequential
Unscented Kalman Filter for Radar Target Tracking with Range Rate
Measurements (Zhansheng Duan) |
Characterisation
of Image Fusion Quality Metrics for Surveillance Applications over
Bandlimited Channels (Eduardo Fernandez Canga) |
Grammatical
Methods for Situation, Threat and Impact Analysis (Daniel McMichael) |
Tree
Based Data Aggregation in Sensor Networks Using Polynomial Regression (Torsha
Banerjee) |
|
16 |
64 |
107 |
151 |
| 16:30 |
16:50 |
|
Late Afternoon Break [Wyndham Ballroom A] |
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| |
|
|
Tracking
- Tracking Methods (Yvo Boers) [Room 3 & 4] |
|
Level 2 Panel Session (Ivan Kadar) [Philadelphia Room South
& North] |
Applications
- Applications of IF (Allen Waxman) [Room 5 & 6] |
|
|
|
|
|
| 16:50 |
17:10 |
|
Multiple
Target Tracking With Possibly Merged Measurements Modeled by Point Processes
(Shozo Mori) |
|
Issues and Challenges of Knowledge
Representation and Reasoning Methods in Situation Assessment (Level 2) |
Remote
Sensing Image Segmentation Using SVM with Automatic Selection for the Kernel
Parameters (Refaat Mohamed) |
|
46 |
0 |
0 |
181 |
| 17:10 |
17:30 |
|
Track
Labeling Combined with the Probability Hypothesis Density Filter for
Multitarget Multisensor Tracking (Ozgur Erdinc) |
|
Shape-Constraint
for Accurate Segmentation in Remote Sensing Imagery (Ayman El-Baz) |
|
47 |
0 |
0 |
182 |
| 17:30 |
17:50 |
|
Improved
Fast Covariance Intersection for Distributed Data Fusion (Dietrich Fränken) |
|
A
Graph Theoretic Approach to Data Incest Management in Network Centric Warfare
(Samuel McLaughlin) |
|
48 |
0 |
0 |
183 |
| 17:50 |
18:10 |
|
|
|
Fusion
Performance using a Validation Approach (Christopher Angell) |
|
0 |
0 |
0 |
184 |
| 18:10 |
18:50 |
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|
| Wednesday, July 27, 2005 |
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|
|
|
|
| 7:00 |
8:00 |
Registration
[Wyndham Ballroom A Foyer] |
Author Breakfast [Room 10] |
|
|
|
|
|
| 8:00 |
9:00 |
Plenary Speech (Dr. Wilson
Felder, Director of Technology Development, FAA) [Wyndham Ballroom A] |
|
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| |
|
Tracking
- Particle Filtering (Neil Gordon) [Philadelphia Room North] |
Image
Fusion - Image Fusion Special Session (Rick Blum) [Philadelphia Room South] |
Belief
Analysis - Probability Methods (Subrata Das) [Room 3 & 4] |
Applications
- Multi-Agent Systems Special Session (David Nicholson & Hugh
Durrant-Whyte) [Room 5 & 6] |
|
|
|
|
|
| 9:10 |
9:30 |
Efficient
Particle Filtering for Road-Constrained Target Tracking (Yang Cheng) |
Experimental
Tests of Image Fusion for Night Vision (Yin Chen) |
A
Comparative Study on Model Selection and Multiple Model Fusion (Huimin Chen) |
Autonomous
Self-Localisation and Mapping Agents (James Swinnerton) |
|
17 |
65 |
108 |
152 |
| 9:30 |
9:50 |
A
Comparison of Particle Filters for Recursive Track-before-detect (Mark
Rutten) |
Realtime
Image Fusion and Target Learning & Detection on a Laptop Attached
Processor (Paul Ilardi) |
A
Bayesian Approach to Extended Object Tracking (Wolfgang Koch) |
Constrained
Bandwidth Allocation in Multi-Sensor Information Fusion: A Mechanism Design
Approach (Alex Rogers) |
|
18 |
66 |
109 |
153 |
| 9:50 |
10:10 |
A
Particle Filter for Detection and Tracking of Multiple Extended Objects in
Color Video Sequences (Jacek Czyz) |
The
Cramer-Rao Bound Applied to Image Fusion (Rick Blum) |
The
Relation of Optimal Local Compression Rule and Local Likelihood Ratio Rule
(Keshu Zhang) |
Unifying
Learning in Games and Graphical Models (Iead Rezek) |
|
19 |
67 |
110 |
154 |
| 10:10 |
10:30 |
Particle
Filter-Based Information Acquisition for Robust Plan Recognition (Ronnie
Johansson) |
Complex
Wavelet Domain Image Fusion Based on Fractional Lower Order Moments (Alin
Achim) |
A
Comparative Study on the Use of Road Network Information in GMTI Tracking
(Kaouthar Benameur) |
Mobile
Agent-Based Distributed Fusion (MADFUSION) System (Li Bai) |
|
20 |
68 |
111 |
155 |
| 10:30 |
10:50 |
Morning Break [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Tracking Performance (Yvo Boers) [Philadelphia Room North] |
Image
Fusion - Image Fusion w Sensor Management (Mark Oxley) [Philadelphia Room
South] |
Belief
Analysis - Random Sets (Ron Mahler) [Room 3 & 4] |
Applications
- Gait and Face Detection (Jean-Pierre Le Cadre) [Room 5 & 6] |
|
|
|
|
|
| 10:50 |
11:10 |
CRLB
with Pd<1 for Fused tracks (Alfonso Farina) |
Robust
Virtual Forces-Based Camera Positioning Using a Fusion of Image Contents and
Intrinsic Parameters (Alaa E. Abdel-Hakim) |
Seesaw
Method for Combining Parameter Estimates (James Spall) |
Fusion
of Dynamic and Static Features for Gait Recognition Over Time (G.V. Veres) |
|
21 |
69 |
112 |
156 |
| 11:10 |
11:30 |
Re-entry
Vehicle Tracking Observability and Theoretical Bound (Pierre Dodin) |
Mitigation
of Sensor and Communication System Impairments for Multichannel Image Fusion
and Classification (Andriy Kurekin) |
A
Closed-Form Solution for the Probability Hypothesis Density Filter (Ba-Ngu
Vo) |
Probabilistic
Fusion of Gait Features for Biometric Verification (Alex I. Bazin) |
|
22 |
70 |
113 |
157 |
| 11:30 |
11:50 |
Limits
of Linear Multitarget Tracking (Darko Musicki) |
Robust
Processing of SAR Hologram Data for Impulse Noise Impairment Mitigation
(Darren Radford) |
Can
the Bayesian and Dempster-Shafer Approaches Be Reconciled? Yes. (Ronald
Mahler) |
Multi-Stage
Fusion for Face Localization (Rachid Belaroussi) |
|
23 |
71 |
114 |
158 |
| 11:50 |
12:10 |
Relative
Error Measures for Evaluation of Estimation Performance (X. Rong Li) |
|
Capabilities-Based
Force Aggregation Using Random Sets (Pontus Svenson) |
Image
Fusion for Face Recognition (Xuerong Chen) |
|
24 |
0 |
115 |
159 |
| 12:20 |
13:30 |
Lunch [Wyndham Ballroom A] |
|
|
|
|
|
| Best
Paper - A Performance Bound for Manoeuvring Target Tracking Using
Best-Fitting Gaussian Distributions (Marcel Hernandez) [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Geometric Track Methods (Alex Chan) [Philadelphia Room North] |
Image
Fusion - Sensor Management for Tracking (Chee Chong) [Philadelphia Room
South] |
Belief
Analysis - Evidential Reasoning (Michael Hinman) [Room 3 & 4] |
Applications
- Diagnostics (Kai Goebel) [Room 5 & 6] |
|
|
|
|
|
| 13:30 |
13:50 |
Differential
Geometry Measures of Nonlinearity for Ground Moving Target Indicator (GMTI)
Filtering (Mahendra Mallick) |
Tracking
Performance Constrained MFR Parameter Control: Applying Constraints on
Prediction Accuracy (Jitse Zwaga) |
Shedding
New Light on Zadeh´s Criticism of Dempster´s Rule of Combination (Rolf
Haenni) |
Collaborative
Strategies of Partially Interacting Agents in a Partially Observable Universe
(Frederic Dambreville) |
|
25 |
72 |
116 |
160 |
| 13:50 |
14:10 |
Analysis
and Integration of Road Projection Methods for Multiple Road Target
Initiation and Tracking (Stéphane Gattein) |
Optimal
Adaptive Waveform Selection for Target Tracking (Barbara La Scala) |
Fusion
of Multi-Level Decision Systems Using the Transferable Belief Model (David
Mercier) |
Distributed
Fault Detection via Particle Filtering and Decision Fusion (Qi Cheng) |
|
26 |
73 |
117 |
161 |
| 14:10 |
14:30 |
Nonlinear
Constrained Tracking of Targets on Roads (Chun Yang) |
Energy
Efficient Target Tracking in a Sensor Network Using Non-myopic Sensor
Scheduling (Amit Chhetri) |
Managing
Deceitful Reports with the Transferable Belief Model. (Philippe Smets) |
Prognostic
Information Fusion for Constant Load Systems (Kai Goebel) |
|
27 |
74 |
118 |
162 |
| 14:30 |
14:50 |
Geo-Tracking
of a Single Constant-Velocity Target using Broadband Array Sensor Data from a
Maneuvering Observer: A Comparison of Nonlinear Tracking Techniques (Anton
Haug) |
Farsighted
Sensor Management Strategies for Move/Stop Tracking (Angelia Nedich) |
Multimodal
Data Association Based on the Use of Belief Functions for Multiple Target
Tracking (Megherbi Najla) |
An
Approach to Threat Assessment (Alan Steinberg) |
|
28 |
75 |
119 |
163 |
| 14:50 |
15:00 |
|
Afternoon Break [Wyndham Ballroom A] |
|
|
|
|
|
| 15:00 |
18:30 |
|
Poster Session [Wyndham Ballroom A Foyer] |
|
|
|
|
|
| 18:30 |
19:30 |
|
No-Host Cocktails [Wyndham Ballroom A Foyer] |
|
|
|
|
|
| 19:30 |
22:00 |
|
Banquet & Keynote
Speech (Honorable Curt Weldon) [Wyndham Ballroom A] |
|
|
|
|
|
| Thursday, July 28, 2005 |
|
|
|
|
|
| 7:00 |
8:00 |
Registration
[Wyndham Ballroom A Foyer] |
Author Breakfast [Room 10] |
|
|
|
|
|
| 8:00 |
9:00 |
Plenary Speech (Dr. Allen
Waxman, BAE Systems) [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Track and ID (Robert Lynch) [Philadelphia Room North] |
Image
Fusion - Sensor Management (Mike Schneider) [Philadelphia Room South] |
Belief
Analysis - DSmT Theory (Florentin Smarandache & Jean Dezert) [Room 3
& 4] |
Applications
- Vehicle and Transportation (Dale Blair) [Room 5 & 6] |
|
|
|
|
|
| 9:10 |
9:30 |
Multi-Target
Tracking and Existence (Jaco Vermaak) |
Evaluating
Sensor Allocations Using Equivalence Classes of Multi-Target Paths (Christian
Mårtenson) |
Information
Fusion Based on New Proportional Conflict Redistribution Rules (Florentin
Smarandache) |
Context
Fusion for Driveability Analysis (Fredrik Lantz) |
|
29 |
76 |
120 |
164 |
| 9:30 |
9:50 |
Joint
Target Tracking and Identification – Part I: Sequential Monte Carlo
Model-Based Approaches (Pierre Minvielle) |
An
Approximate Dynamic Programming Approach to a Communication Constrained
(Jason Williams) |
Example
of Continuous Basic Belief Assignment in the DSmT Paradigm (Frederic
Dambreville) |
A
Pedestrian Detection System based on Thermopile and Radar Sensor Fusion (Dirk
Linzmeier) |
|
30 |
77 |
121 |
165 |
| 9:50 |
10:10 |
Joint
Target Tracking and Identification – Part II: Shape Video Computing (Pierre
Minvielle) |
Optimal
Observation Trajectories of an Active Manoeuvring Radar (Pierre Dodin) |
Multi-Hypotheses
Tracking Algorithm Based on the Belief Theory (Benjamin Mourllion) |
Sensor
Fusion Approaches to Guideway and Obstacle Detection in the Autotaxi Ssystem
(Ponciano Jorge Escamilla-Ambrosio) |
|
31 |
78 |
122 |
166 |
| 10:10 |
10:30 |
Multiresolution
EO/IR Target Tracking and Identification (Erik Blasch) |
A
Risk-Based Object-Oriented Approach to Sensor Management (Fok Bolderheij) |
Performance
Evaluation of Fusion Rules for Multitarget Tracking based on Generalized Data
Association (Jean Dezert) |
A
PreCrash System based on Sensor Data Fusion of Laser Scanner and Short Range
Radars (Michael Skutek) |
|
32 |
79 |
123 |
167 |
| 10:30 |
10:50 |
Morning Break [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Tracking Applications (Yaakov Bar-Shalom) [Philadelphia Room North] |
Image
Fusion - Hyperspectral Special Session (Rick Blum) [Philadelphia Room South] |
Belief
Analysis - Situation Assessment (Level 2) (Michael Hinman) [Room 3 & 4] |
Applications
- Vehicle and Transportation (Wolfgang Koch) [Room 5 & 6] |
|
|
|
|
|
| 10:50 |
11:10 |
Over-The-Horizon
Radar Target Tracking Using MQP Ionospheric Modeling (David Bourgeois) |
Applying
Incremental EM to Bayesian Classifiers in the Learning of Hyperspectral
Remote Sensing Data (X. Rosalind Wang) |
Situation
Assessment for the Post-disaster Casualty Mitigation Operations (Galina
Rogova) |
Unscented
Kalman Filter Design for Curvelinear Motion Models Suitable for Automotive
Safety Applications (Manolis Tsogas) |
|
33 |
80 |
124 |
168 |
| 11:10 |
11:30 |
The
Impact of Tropospheric Propagation on Data Fusion from Multiple Radars (Anil
Shukla) |
Multisource
Fusion for Land Cover Classification using Support Vector Machines (Pakorn
Watanachaturaporn) |
A
General Algebraic Structure for Situation Analysis (Patrick Maupin) |
EKF
and Particle Filter Track to Track Fusion : a Quantitative Comparison from
Radar/Lidar Road Obstacle Tracks (Christophe Blanc) |
|
34 |
81 |
125 |
169 |
| 11:30 |
11:50 |
Tracking
Ground Emitters Using State Vector Fusion In Airborne Domain (Gee Wah Ng) |
A
New Approach to Image Fusion Based on Cokriging (Nargess Memarsadeghi) |
Factored
Particle Filtering for Situation Assessment in Urban Environments (Subrata
Das) |
Radio
Map Fusion for Indoor Positioning in Wireless Local Area Networks (Azadeh
Kushki) |
|
35 |
82 |
126 |
170 |
| 11:50 |
12:10 |
Localization
and Fusion in Multistatic Sonar (Stefano Coraluppi) |
Adaptive
Band Selection for Hyperspectral Image Fusion Using Mutual Information
(Baofeng Guo) |
Comparing
Future Situation Pictures (Hedvig Sidenbladh) |
Robust,
Low-Bandwidth, Multi-Vehicle Mapping and Navigation (Steven Reece) |
|
36 |
83 |
127 |
171 |
| 12:20 |
13:30 |
Lunch [Wyndham Ballroom A] |
|
|
|
|
|
| Best
Student Paper - Distributed Data Association for Multi-Target Tracking in
Sensor Networks (Lei Chen) [Wyndham Ballroom A] |
|
|
|
|
|
| Awards & Fusion 2006
Presentation [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Tracking Comparisons (Darko Musicki) [Philadelphia Room North] |
Image
Fusion - Data Mining (Yingqin Yuan) [Philadelphia Room South] |
Belief
Analysis - Situation / Threat Assessment (Level 2/3) (Sergio Gigli) [Room 3
& 4] |
Applications
- Airports Special Session (Jesus Garcia, Jose Molina & Juan Besada)
[Room 5 & 6] |
|
|
|
|
|
| 13:30 |
13:50 |
Interaction
Between Estimator and Estimation Criteria (Zhanlue Zhao) |
Mining
High-Dimensional Data for Information Fusion: A Database-Centric Approach
(Boriana Milenova) |
Lessons
Learned from Developing SAWA: A Situation Awareness Assistant (Christopher
Matheus) |
Design
of an A-SMGCS Prototype at Barajas Airport: Available Information and
Architecture (Jose M. Molina) |
|
37 |
84 |
128 |
172 |
| 13:50 |
14:10 |
Comparison
of Forward Vs. Feedback Kalman Filter For Aided Inertial Navigation System
for an AUV (Ben Ragel) |
Construction
of an Accurate Geospatial Predictor by Fusion of Global and Local Models (Bo
Han) |
An
Evidential Model of Multisensor Decision Fusion for Force Aggregation and
Classification (Bin Yu) |
Design
of an A-SMGCS Prototype at Barajas Airport: Data Fusion Algorithms (Jesus
Garcia) |
|
38 |
85 |
129 |
173 |
| 14:10 |
14:30 |
Tracking
Maneuvering Targets from Possibly Unresolved Measurements (Henk Blom) |
Improving
Aerosol Retrieval Performance by Integrating AERONET, MISR, and MODIS Data
Products (Qifang Xu) |
Intent
Inferencing Using an Artificial Potential Field Model of Environmental
Influences (Robin Glinton) |
Design
of an A-SMGCS Prototype at Barajas Airport: Airport (Juan A Besada) |
|
39 |
86 |
130 |
174 |
| 14:30 |
14:50 |
The
Behavior of Model Probability in Multiple Model Algorithms (Zhanlue Zhao) |
Rule
Mining and Classification in Imperfect Databases (Rohitha Hewawasam) |
Truth
Maintenance System with Probabilistic Constraints for Enhanced Level Two
Fusion (Subrata Das) |
Intelligent
Task Scheduling in Sensor Networks (Wilbert van Norden) |
|
40 |
87 |
131 |
175 |
| 14:50 |
15:10 |
Afternoon Break [Wyndham Ballroom A] |
|
|
|
|
|
| |
|
Tracking
- Tracking Methods (Shozo Mori) [Philadelphia Room North] |
Image
Fusion - Data Association (Johan Schubert) [Philadelphia Room South] |
Belief
Analysis - Decision Support / User Refinement (Level 5) (Angela Pawlowski)
[Room 3 & 4] |
Applications
- Applications of IF (Pierre Valin) [Room 5 & 6] |
|
|
|
|
|
| 15:10 |
15:30 |
A
Gaussian Mixture Filter for Near-Far Object Tracking (Graham, W. Pulford) |
Robust
Approaches for the Data Association Problem (Hassene Aissi) |
Symbolic
Argumentation for Decision Making under Uncertainty (Subrata Das) |
Early
Detection of Bioterrorism via Higher Level Fusion (Josh Introne) |
|
41 |
88 |
132 |
176 |
| 15:30 |
15:50 |
Sequential
Detection of Target Maneuvers (Jifeng Ru) |
Clustered
Multidimensional Data Association for Limited Sensor Resolutions (Felix
Opitz) |
Smart
Decision Support System Using Parsimonious Information Fusion (Panos
Louvieris) |
Fusion
of Open Source Information (David Noble) |
|
42 |
89 |
133 |
177 |
| 15:50 |
16:10 |
Optimal
Signal Detection for False Track Discrimination (Thomas Hanselmann) |
Performance
Analysis of Optimal Data Association within a Linear Regression Framework
(Frederic Bavencoff) |
Knowledge-Based
Information Fusion for Improved Situational Awareness (Paul Smart) |
Stock
Tracking : A New Approach for Stock Analysis and Forecasting (Huifeng Shen) |
|
43 |
90 |
134 |
178 |
| 16:10 |
16:30 |
Mitigating
the Effects of Residual Biases with Schmidt-Kalman Filtering (Roman
Novoselov) |
Short-term
Ambiguity Assessment to Augment Tracking Data Association Information (Sabino
Gadaleta) |
Case
Based Reasoning Approach to Automatic Comparison of Models (Timo
Ala-Kleemola) |
A
Novel Wavelet-based Technique for Pitch detection and Segmentation of
Non-stationary Speech (Dimitrios Charalampidis) |
|
44 |
91 |
135 |
179 |
| 16:30 |
16:50 |
The
Modified Riccati Equation in Target Tracking: Some Recent Results (Yvo Boers) |
|
|
Logical
Data Fusion for Biological Hypothesis Evaluation (Stephen Racunas) |
|
45 |
0 |
0 |
180 |
| Friday, July 29, 2005 |
|
|
|
|
|
| 8:00 |
9:50 |
Registration
[Wyndham Ballroom A Foyer] |
Tutorial AM1 |
Tutorial AM2 |
Tutorial AM3 |
Tutorial AM4 |
|
|
|
|
|
| Multi-target
Tracking and Multi-sensor Data Fusion 1/2 (Prof Yaakov Bar-Shalom) |
The
Game-Theoretic Framework for Managing Uncertainty
(Dr Glenn Shafer) |
An
Integrated Approach to Data Fusion and Decision Support 1/2: Situation
Assessment (Dr Subrata Das) |
Maritime
Situational Awareness (Dr James K. Beard) |
|
|
|
|
|
| Tutorial AM5 |
Tutorial AM6 |
Tutorial AM7 |
Tutorial AM8 |
|
|
|
|
|
| Introduction
to Multi-Sensor Navigation Information Fusion (Dr Mikel Miller) |
The
Data Fusion and Resource Management (DF&RM) Dual Node Network (DNN)
Architecture 1/2: The Dual Data Fusion and Resource Management Processing
Levels (Dr Christopher Bowman) |
Grammatical
Methods for Situation amd Threat Analysis (Dr Daniel McMichael) |
Bayesian
Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian
Processes (Dr. Anton J. Haug) |
|
|
|
|
|
| 9:50 |
10:10 |
Break |
|
|
|
|
|
| 10:10 |
12:00 |
Tutorial AM1 |
Tutorial AM2 |
Tutorial AM3 |
Tutorial AM4 |
|
|
|
|
|
| Multi-target
Tracking and Multi-sensor Data Fusion 1/2 (Prof Yaakov Bar-Shalom) -
Continued |
The
Game-Theoretic Framework for Managing Uncertainty
(Dr Glenn Shafer) - Continued |
An
Integrated Approach to Data Fusion and Decision Support 1/2: Situation
Assessment (Dr Subrata Das) - Continued |
Maritime
Situational Awareness (Dr James K. Beard) - Continued |
|
|
|
|
|
| Tutorial AM5 |
Tutorial AM6 |
Tutorial AM7 |
Tutorial AM8 |
|
|
|
|
|
| Introduction
to Multi-Sensor Navigation Information Fusion (Dr Mikel Miller) - Continued |
The
Data Fusion and Resource Management (DF&RM) Dual Node Network (DNN)
Architecture 1/2: The Dual Data Fusion and Resource Management Processing
Levels (Dr Christopher Bowman) - Continued |
Grammatical
Methods for Situation amd Threat Analysis (Dr Daniel McMichael) - Continued |
Bayesian
Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian
Processes (Dr. Anton J. Haug) - Continued |
|
|
|
|
|
| 12:00 |
13:00 |
Break |
|
|
|
|
|
| 13:00 |
14:50 |
|
Tutorial PM1 |
Tutorial PM2 |
Tutorial PM3 |
Tutorial PM4 |
|
|
|
|
|
| |
Multi-target
Tracking and Multi-sensor Data Fusion 2/2 (Prof Yaakov Bar-Shalom) |
An
Introduction to Stochastic Search and Optimization (Prof James C. Spall) |
An
Integrated Approach to Data Fusion and Decision Support 2/2: Response
Recommendations (Dr Subrata Das) |
Evaluation
of Information Fusion Systems (Dr Erik Blasch) |
|
|
|
|
|
| |
Tutorial PM5 |
Tutorial PM6 |
Tutorial PM7 |
Tutorial PM8 |
|
|
|
|
|
| |
Challenges
and Approaches to Designing Data Fusion Processes in Service-Based
Architectures (Dr James Llinas) |
The
Data Fusion and Resource Management (DF&RM) Dual Node Network (DNN)
Architecture 2/2: Distributed Fusion Networks and Fusion Node Processing
Optimization (Dr Christopher Bowman) |
Ontology
Based High Level Fusion: Methods and Tools (Dr Mieczyslaw M. Kokar) |
Ensemble
Based Systems For Data Fusion (Dr Robi Polikar) |
|
|
|
|
|
| 14:50 |
15:10 |
|
Break |
|
|
|
|
|
| 15:10 |
17:00 |
|
Tutorial PM1 |
Tutorial PM2 |
Tutorial PM3 |
Tutorial PM4 |
|
|
|
|
|
| |
Multi-target
Tracking and Multi-sensor Data Fusion 2/2 (Prof Yaakov Bar-Shalom) -
Continued |
An
Introduction to Stochastic Search and Optimization (Prof James C. Spall) -
Continued |
An
Integrated Approach to Data Fusion and Decision Support 2/2: Response
Recommendations (Dr Subrata Das) - Continued |
Evaluation
of Information Fusion Systems (Dr Erik Blasch) - Continued |
|
|
|
|
|
| |
Tutorial PM5 |
Tutorial PM6 |
Tutorial PM7 |
Tutorial PM8 |
|
|
|
|
|
| |
Challenges
and Approaches to Designing Data Fusion Processes in Service-Based
Architectures (Dr James Llinas) - Continued |
The
Data Fusion and Resource Management (DF&RM) Dual Node Network (DNN)
Architecture 2/2: Distributed Fusion Networks and Fusion Node Processing
Optimization (Dr Christopher Bowman) - Continued |
Ontology
Based High Level Fusion: Methods and Tools (Dr Mieczyslaw M. Kokar) -
Continued |
Ensemble
Based Systems For Data Fusion (Dr Robi Polikar) - Continued |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|