Master Schedule*
* Note:
1) This is the Final Program, a booklet of it is available
at the hotel.
2) Conference check-in & on-site registration starts 2:00 PM on July 5, and continue
during the day on July 6-8.
3) Rooms layout: Chardonnay and Zinfanfel are on 1st floor, Gamay I, Gamay II and
Petite Sirah are on 2nd floor.
Conference Program
T - Tuesday, W
- Wednesday, R - ThuRsday
Plenary Sessions: 8:30 - 9:30 AM every
day
A1 - A4: morning sessions (10:00 - 12:00 AM)
B1- B4: early afternoon sessions (1:00 - 3:00 PM)
C1-C4: late afternoon sessions (3:30 - 6:30 PM)
Tuesday July 6, 1999
8:30 - 9:45 Conference Opening
and Plenary Session I
Welcome Remarks by
Dr. Dongping Daniel Zhu (General Chair), Zaptron
Systems, Inc. Mt. View, CA
Dr. Yaakov Bar-Shalom (Honorary Chair), University of Connecticut, CT
|
|
Dr. Dongping
Daniel Zhu, General Chair |
Dr. Yaakov Bar-Shalom, Honorary Chair |
| Technical Program Overview
by
Dr. Pramod Varshney
Technical Program Chair
EECS Department
Syracuse University, NY |
|
Plenary Session I
Session Chair: Dr.
Belur Dasarathy, Dynetics, Inc., Huntsville, Alabama, USA
Abstract -- Interest has been growing in the use
of multiple sensors to increase the capability of intelligent system. In this
presentation, the issues, approaches in dealing with multisensor fusion and integration
(MFI) will be discussed. The applications and potential opportunities for the
implementation of MFI will also be included. The issues involved in integrating multiple
sensors into the operation of a system are presented in the context of the type of
information these sensors can uniquely provide. The advantages gained through the
synergistic use of multisensory information can be decomposed into a combination of four
fundamental aspects: the redundancy, complementarily, timeliness, and cost of the
information can then defined as the degree to which each of these four aspects is present
in the information provided by the sensors.
9:45 - 10:00 Coffee Break
10:00 - 12:00 Morning Sessions
TA1 Naval Applications
TA2 Medical Applications
TA3 Decentralized Detection Systems
TA4 Formal Methods for
Information Fusion
12:00 - 1:00 Lunch Break
1:00 - 3:00 Early Afternoon Sessions
TB1 Radar and Communication Applications of Fusion
TB2 Image Fusion I
TB3 Fusion for Target Tracking I
TB4 Classification I
3:00 - 3:30 Coffee Break
3:30 - 6:30 Late Afternoon Sessions
TC1
International Collaboration in Fusion R & D
TC2 Diagnostic Information
Fusion
TC3 Fusion of Fuzzy Information
Evening (7:00-9:00PM) Conference Reception
Wednesday July 7, 1999
8:30 - 9:30 Plenary Session II
Session Chair: Dr. Chee-yee Chong, Booz Allen & Hamilton, Inc. San Francisco,
USA
Abstract -- The romance associated with
the Apollo project is being replaced with a different vision, one where
we make tools to do our exploring for us. We are building computational machines that will
carry our curiosity and intelligence with them as they extend the human exploration of the
universe. AI plays a central role in space exploration because there is, literally, no
other way to make it work. NASA is committed to integrating intelligent systems into the
very center of our long-range strategy to explore the universe. In this talk, I will
describe the current and future research directions of NASA's expanding information
technology effort with a particular emphasis on intelligent systems.
9:30 - 10:00 Coffee Break
10:00 - 12:00 Morning Sessions
WA1 Image Fusion II
WA2 Fusion Architecture & Management I
WA3 Fusion for Target Tracking II
WA4 Biological and Linguistic Models for Fusion
12:00 - 2:15 Conference Luncheon & Plenary Session
III
Session Chair: Dr. Peter. Willett, University of Connecticut, USA
Plenary
III
Title: "Music Enhances Learning: Keeping Mozart in Mind"
Speaker: Dr. Gordon Shaw (Vitae)
Professor Emeritus,
Elementary Particle Theory & Theoretical Neurobiology
Department of Physics and
Center for the Neurobiology of Learning & Memory
University of California - Irvine
CA, USA |
|
Abstract - Theoretical studies
[Leng & Shaw, 1991], the "Mozart effect," based on the
trion model [Shaw et al., 1985] predicted that music would enhance spatial-temporal
reasoning (the ability to mentally image and transform patterns in space and time). Recent supporting experiments involving the Mozart
Sonata for Two Pianos in D Major-K.448 are: behavioral studies showed that listening to it
enhanced spatial-temporal reasoning in humans [Rauscher et al., 1993, 1995; Johnson et
al., 1998] and in rats [Rauscher et al., 1998]; EEG studies [Sarnthein et al., 1997]
showed that listening to it results in increased coherence lasting several minutes;
exposure to it reduced pathological activity in comatose epileptic patients [Hughes et
al., 1998]. MRI studies [Muftuler et al., 1999] showing excitation of cortex relevant to
spatial-temporal reasoning. Studies relevant to education are: We [Rauscher et al., 1997]
showed that preschool children who were given 6 months of piano keyboard
training improved dramatically on spatial-temporal reasoning. Second grade children (in
the inner-city 95 St. School in Los Angeles) given 4 months of piano
keyboard training as well as training on Peterson's math video software scored striking
higher [Graziano et al., 1999] on proportional math and fractions. Support for the trion
model from cortical data [Bodner et al., 1997] show families of firing patterns related by
symmetries. Implications for education, basic neuroscience, clinical medicine, and
technology are discussed.
2:30 - 5:50 Afternoon Sessions
WB1 Knowledge-Based Techniques for Information Fusion and
Discovery
WB2 Hardware for Information
Fusion
WB3 Multi-Sensor and Multi-Source Fusion for Object Tracking and Recognition
WB4 Fusion for Target Tracking III
7:00 - 9:00 PM Society Board Meeting (agenda)
Thursday July 8, 1999
8:30 - 9:30 Plenary Session IV
Session Chair: Dr. Mark Bedworth, Defense Evaluation and Research Agency, U.K.
Abstract -- In the current
Information age, the potential for overwhelming availability of data largely without
meaning has become a reality. Everywhere individuals and organizations are drowning in
data and information and starved for knowledge and understanding. This is a problem that
has become apparent worldwide in developed and developing countries. One of the keys to
addressing this is data and information fusion. Fusion has long been the domain of a
relatively small number of practioners in a largely classified endeavors within nations.
This speech will address the changes in this world view that are coming about and discuss
the burgeoning exchange of information about fusion on an increasingly global basis. It
will also suggest some discipline and approaches essential to making fusion tools useful,
and discuss some of the needed mechanisms and pitfalls as an international community comes
together.
9:30 - 10:00 Coffee Break
10:00 - 12:00 Morning Sessions
RA1 Image Fusion III
RA2 Fusion Architecture and Management II
RA3 Information Fusion for Decision Support
RA4 Fusion for Fault
Detection and Diagnosis
12:00 - 1:00 Lunch Break
1:00 - 3:00 Early Afternoon Sessions
RB1
Management and Business Information Fusion
RB2 Multisensor Target Tracking and Recognition
of Small-to-Medium Sized Targets
RB3 Emerging Applications I
3:00 - 3:30 Coffee Break
3:30 - 6:10 Late Afternoon Sessions
RC1 Emerging Applications II
RC2 Classification II
RC3 Sensor Fusion for Automatic
Target Recognition
FUSION'99
Session Schedule
July 6 - 8, 1999, Sunnyvale Hilton
Inn, CA, USA
Full names of all authors and organization
will appear in the Proceedings as submitted.
Papers in red are not presented but included in Proceedings.
Papers market blue and with "**" are late but will be presented.
Papers market red and with "*" are not received yet
To report errors, email to General Chair at fusion99@inforfusion.org |
|
 |
|
Note:
(1) All the papers are scheduled for 20 minutes. Presenters should prepare for a 16-17 minute presentation,
leaving 3-4 minutes for questions. A standard overhead projector is provided in each room.
(2) 21 countries or regions represented by authors: Australia, Bulgaria, Canada, China,
Finland, France, Germany, Israel, Italy, Japan, Netherlands, New Zealand, Russia, Singapore, Spain,
Sweden, South Africa, Taiwan, UK, Ukraine, USA
Tuesday July 6
Session TA1 Naval
Applications
Chair: Michael Larkin, Naval Undersea Warfare
Center
167 Information Fusion
in Undersea Warfare,
Michael J. Larkin, Naval Undersea Warfare Center, Newport, RI
121 Fusion of Multi-Sensor
Information from an Undersea Distributed Field of Sensors,
Mark D. Hatch, Edward R. Jahn, and Joan L. Kaina, SPAWAR Systems Center, San Diego
123 Target Detection
Performance by Fusing Information from Tracks Generated by Independent Waveforms,
Robert S. Lynch, Naval Undersea Warfare Center, Newport, RI
124 Signal Estimation
using Selectably Fused Sensor Data of Varying Cost,
Douglas Cochran and Dana Sinno, Arizona State University, USA
61 Support Systems and
Techniques for Submarine Sensor Fusion,
Pailon Shar and X. Rong Li, Dept. of Electrical Engineering, University of New
Orleans, USA
Session TA2 Medical
Applications
Chair: Robert Levinson, University of
California at Santa Cruz
37 Discovering and
Fusing Relevant Knowledge from Databases based on an Incremental Unsupervised Learning
Approach,
F. Azuaje, Univ. of Ulster, Northern Ireland Bio-Engineering Centre, W. Dubitzky,
Univ. of Ulster, Faculty of Informatics,
N. Black, University of Ulster, Faculty of Informatics, K. Adamson, Univ. of Ulster,
Faculty of Informatics
27 Three Dimensional
Data Fusion for Biomedical Surface Reconstruction,
J.M. Zachary and S.S. Iyengar, Dept. of Computer Science, Louisiana State University
120 A Neural Network
Approach to Case Retrieval,
Wendy X. Wu, School of Computing Science, Middlesex University, The Burroughs,
London,
Werner Dubitzky, School of Information & Software Engineering, Northern Ireland
Bio-Engineering Centre, Univ. of Ulster, Francisco J. Azuaje, Univ. of Ulster, Northern
Ireland Bio-Engineering Centre
19 Proved Segmentation
from Pictures Sequence by Evidence Theory, Application IRM Pictures,
L. Gautier, Laboratoire d’Analyse des Systemes du Littoral, Universite du
Littoral Cote d’Opale, France
A. Taleb-Ahmed, Laboratoire d’Analyse des Systemes du Littoral, France
M. Rombaut, LM2S Universite Technologie de Troyes, France
J.G. Postaire, I3D Universite de Lille, H. Leclet, Institut Calor de Berck, France
105 Aorta Detection in
Ultrasound Medical Image Sequences Using Hough Transform and Data Fusion,
R. Debon, Dept. Image et Traitement de l’Information Midicale (LATIM), Enst de
Bretagne, France,
B. Solaiman, C. Roux
* 145 Computer
Aided Diagnosis and Treatment,
Sam Chaudhuri, Sensor Data Integration, Inc., Concord, MA
Session TA3
Decentralized Detection Systems
Chair: Jane O'Brien, Defense Evaluation & Research Agency, U.K.
65 Minimal Energy
Information Fusion in Sensor Networks,
George Chapline, Lawrence Livermore National Laboratory
115 FUSE – Fusion
Utility Sequence Estimator,
Belur V. Dasarathy and Sean D. Townsend, Dynetics, Inc., Huntsville, AL
171 Optimal
Distributed Fusion Subject to Given Sensor Decisions,
Yunmin Zhu, Dept. of Mathematics, Sichuan University, X.Rong Li, Dept. of Electrical
Engr, Univ. of New Orleans
31 A Neural-Network
Learning Method for Sequential Detection with Correlated Observations,
Chengan Guo and Anthony Kuh, Dept. of Electrical Engg., University of Hawaii at Manoa
5 Adaptive Coordination and
Integration of Decentralized Decisions,
Akira Namatame, Japan Defensse Academy
Session TA4 Formal
Methods for Information Fusion
Chair: Mitch Kokar, Northeastern
University
125 A Formal Approach to Information Fusion,
M.M. Kokar, J. Weyman, Northeastern University, Boston, MA
J.A. Tomasik, Universite Blaise Pascal
126 Category Theory
Approach to Fusion of Wavelet-Based Features,
S.A. DeLoach, Air Force Institute of Technology, OH, and M.M. Kokar,
Northeastern University, Boston, MA
129 An Approach to Automation
of Fusion Using Specware,
Hongge Gao, M.M. Kokar, J. Weyman Northeastern University, Boston, MA
130 Incorporating
Uncertainty into the Formal Development of the Fusion Operator,
Jingsong Li, M.M. Kokar, and J. Weyman, University, Boston, MA
128 Formally Derived
Characterization of the Performance of alpha-beta-gamma Filters,
D. Tenne, SUNY Buffalo, T. Singh, SUNY, Buffalo, NY
127 Toward a
Goal-Driven Autonomous Fusion System,
J.A. Tomasik, Universite Blaise Pascal
Session TB1
Radar and Communication Applications of Fusion
Chair: Rick Blum, Lehigh University
81 Clarifying the
Conditions for Neyman-Pearson Optimum Distributed Signal Detection,
Qing Yan and Rick Blum, Lehigh University, PA
42 An Algorithm to
Enhance Coordinate Registration by Fusing Over-the-Horizon Radar Sensors,
William J. Yssel and William C. Torrez, SPAWAR SYSCEN, San Diego, CA
82 On the Maximum
Number of Sensor Decision Bits Needed for Optimum Distributed Signal Detection,
Jun Hu and Rick Blum, Lehigh University, PA
153 Data Fusion in a
Multi-Sensor Mine Detection System,
Wilson Sing-Hei So, Ray Kacelenga, Computing Devices, Canada
Session TB2
Image Fusion I
Chair: Elisa Shahbazian, Lockheed-Martin, Canada
40 Wavelets for Image
Fusion,
Satyanarayan S. Rao and Padmavathi Ramanathan, Villanova Univ., PA
24 Remotely Sensed
Images Fusion for Linear Planimetric Features Extraction,
Luc Pigeon, Bassel Solaiman,Icole Nationale Supirieure des Tilicommunications de
Bretagne, France
Keith P.B. Thomson, Centre de Recherche en Giomatique,
Thierry Toutin, Canadian Centre for Remote Sensing,
Bernard Moulin, Centre de Recherche en Giomatique
21 Application of
Image Fusion to Wireless Image Transmission,
L.C. Ramac and P.K. Varshney, Syracuse University, NY
67 Matching Segments
in 3D Reconstruction Using the Fuzzy Integral,
A. Bigand, L. Evrard, Laboratoire ASL, Universite du Littoral, France
49 Sensor Fusion of a
CCD Camera and an Acceleration-Gyro Sensor for the Recovery of Three-Dimensional Shape and
Scale,
Toshiharu Mukai and Noboru Ohnishi, Bio-Mimetic Control Research Center, Japan
* 73 An Efficient
Algorithm for Detecting Human Face and Pose Orientation,
Jie Zhou, Chang-Shui Zhang and Yan-Da Li, Dept. of Automation, Tsinghua University,
Beijing, China
Session TB3 Fusion for Target Tracking I
Chair: Mohamad Farooq, Royal Military College of Canada
134 Architectures and
Algorithms for Track Association and Fusion,
Chee-Yee Chong, Booz Allen & Hamilton, San Francisco, CA
Shozo Mori, Raytheon System Co., San Jose, CA
Kuo-Chu Chang, George Mason University, Fairfax, VA
Bill Barker, Raytheon System Co., San Jose, CA
116 Track Association
and Track Fusion with Non-Deterministic Target Dynamics,
Shozo Mori, William H. Barker, Raytheon Systems Co., San Jose, CA,
Chee-Yee Chong, Booze-Allen & Hamilton, San Francisco, CA, and
Kuo-Chu Chang, George Mason University, Fairfax, VA
136 A Multiple Sensor
Long Range Integrated Maritime Surveillance System,
Zhen Ding and Ken Hickey, Raytheon Canada Limited, Canada
150 Central
Neuro-Fusion of Decentralized Multiple Tracks,
Carl Looney and Yaakov Varol, University of Nevada, Las Vegas, NV
152 Multitarget
Tracking Using an IMM Estimator with Debiased E-2C Measurements for Airborne Early Warning
Systems,
T. Kirubarajan and Yaakov Bar-Shalom, University of Connecticut, CT
Richard McAllister, Robert Schutz and Bruce Engelberg, Northrup Grumman Corp., USA
Session TB4
Classification I
Chair: Nageswara S. V. Rao, Oak Ridge National Laboratory
18 Numerical and
Implementational Studies of Conditional and Relational Event Algebra, Illustrating Use and
Comparison with Other Approaches to Modeling of Information,
M.J. George, Houston Assoc., I.R. Goodman, SSC-SD, San Diego, CA
88 Kernel Based
Methods in a Mixture of Experts Framework,
Tony Dodd and Chris Harris, University of Southampton, UK
169 Combining Models to Improve
Classifier Accuracy and Robustness
Dean Abbott, Abbott Consulting, USA
29 On Optimal
Projective Fusers for Function Estimators,
Nageswara S.V. Rao, Oak Ridge National Laboratory, TN, USA
89 A New Mixture of
Experts Framework for Recursive Bayesian Modeling of Time Series by Neural Networks,
Tony Dodd and Chris Harris, University of Southampton, UK
* 34 Boosting
Elliptical Basis Function Classifiers through Averaging and Hierarchical Basis Function
Fusion,
Thomas W. Jauch, Robert Bosch GmbH, Germany
Session TC1 International
Collaboration in Fusion Research and Development
Chair: James Llinas, State University
of New York at Buffalo
Part 1.
Session Keynote:
Data fusion: the Benefits of Collaboration and the Barriers to the Process,
Mark Bedworth, Jane O'brien, Jemity, Malvern, UK, and James Llinas, State University of New York at Buffalo, USA
Part 2. Overviews of International Programs within National Defense Organizations
Overview of US DoD programs and activities for international collaboration,
Frank White and Mary
Chrysler, US Navy SPAWAR, San Diego, CA
An Overview of UK MOD
Programs and Activities for International Collaboration,
speaker to be announced, UK
Overview of Canadian Department
of National Defence programs and activities for international collaboration,
Guy Vezina, Defence R-D Branch, Defence Research Establishment Valcartier (DREV), Quebec,
Canada
International data fusion research
collaboration - an unofficial Swedish defence research viewpoint,
Per Svensson , Department of Information Systems Technology, FOA, Stockholm, Sweden
Bulgarian Multisensor Data
Fusion National Program and Activities,
Emil Semerdjiev, Tzvetan Semerdjiev, Bulgarian Ccademy of Sciences, Sofia, Bulgaria, and
James Llinas* (speaker), State
University of New York at Buffalo, USA
Part 3. Academically-based Programs for International Collaboration:
European and American Universities in American and European Information
Fusion R&D Programs,
F. J. Jimenez, J. R. Casar, Polythecnic University of Madrid, Spain
J. Llinas, State University of NY at Buffalo, USA, P. Varshney, Syracuse University, USA
Part 4. Panel
Discussion:
Topic: Strategies for Growth and Enhancement of Collaboration at the International
Level
Participants: all speakers.
Session TC2
Diagnostic Information Fusion
Chair: Kai Goebel, Information Technology Laboratory, General Electric
183 Chu Spaces - A New
Approach to Diagnostic Information Fusion,
Hung T. Nguyen, New Mexico State University, NM, USA
Berlin Wu, National Chengchi University, Taiwan, Vladik Kreinovich, University of Texas at
El Paso, TX, USA
101 Diagnostic
Information Fusion in Manufacturing Processes,
Kai Goebel, Vivek Badami, GE, NY, Amitha Perera, Rensselaer Polytechnic Institute,
NY.
187 Active Fusion for
Diagnosis Guided by Mutual Information Measures,
John M. Agosta and Jonathan Weiss, Knowledge Industries, South San Francisco, CA
200 Correlation of
Heterogeneous Data with Fuzzy Logic,
Chris Tseng and Arkady Epshteyn, Stottler Henke Associates, San Mateo, CA
184 A Framework for
Hypertext Based Diagnostic Information Fusion, Pierre Morizet-Mahoudeaux,
Charles-Claude Paupe, University of Compiegne, France
189 Application of
Information Fusion on Flaw Detection of Concrete Structure,
Xiang Yang, Wuhan Transportation University, Wuhan, Hubei, China
Xizhi Shi, Shanghai Jiaotong University, Shanghai, China
** 186
Integrating Different Conceptualizations for Heterogenous Knowledge,
K. Christoph Ranze, University of Bremen, Germany
188 Diagnosis of Hybrid
Dynamical System Based on Information Fusion,
Xuan Zhicheng, Zhejiang University, Hangzhou, Zhejiang, China
Session TC3
Fusion of Fuzzy Information
Chair: Daniel McMichael, University of South Australia
70 Predictive Neural
Networks and Fuzzy Data Fusion for Online and Real Time Vehicle Detection,
E. Jouseau and B. Dorizzi, Int. Dept. EPH, France
87 Fusing Expert
Knowledge and Information from Data with NEFCLASS,
Detlef Nauck and Rudolf Kruse, University of Magdeburg, Germany
86 Maritime Avoidance
Navigation, Totally Integrated System (MANTIS),
T. Tran, C.J. Harris & P. Wilson, ISIS Research Group, University of Southampton,
U.K.
94 A Fuzzy Scheduler
for Optimal Allocation of Distributed Resources,
James F. Smith III, Naval Research Laboratory, Washington, DC, USA
43 An Integrated
Architecture in a Complex Dynamic Environment,
Hong-Fei Guo, Jing-Yin Li, Jian-Chang Zhou, Northeastern University, Shengyang,
Liaoning, China
* 53 Fuzzy Reasoning System
for State Estimation and Information Fusion,
P. Korpisaari and J. Saarinen, Tampere University of Technology, Finland
* 137 Linguistic-Numerical
Heterogeneous Data Fusion Using Fuzzy Rules Extraction,
Changjiu Zhou, Singapore Polytechnic University, Singapore
Wednesday
July 7
Session
WA1 Image Fusion II
Chair: P. Svensson, Defence Research Establishment, Sweden
132 Matching Segments
in Stereoscopic 3D Reconstruction,
Andre Bigand, Thierry Bouwmans, Laboratoire ASL, University du Littoral, France
156 Estimating Two-Arm
Distance by Fusion of Distributed Camera-Views,
Christian Scheering, Jianwei Zhang, and Alois Knoll, Universitaet Bielefeld, Germany
155 Uncertain
Reasoning for Adaptive Object Recognition,
Sung Wook Baik and Peter Pachowics, George Mason University, Fairfax, VA, USA
80 Field Evaluations
of Dual-Band Fusion for Color Night Vision,
M. Aguilar, D.A. Fay, D.B. Ireland, J.P. Racamato, W.D. Ross and A.M. Waxman,
M.I.T., Lincoln Laboratory, MA, USA
* 72
Illumination-Invariant Corner Detection,
Xiaoguang Lu and Jie Zhou, Tsinghua University, Beijing, China
* 7 Resolution
Enhancement with Nonlinear Gradient Filtering,
Francisco Torrens, Universitat de Valencia, Spain
Session WA2 Fusion Architecture & Management I
Chair: Alan Steinberg, Environment Research Institute of Michigan
198 Pitfalls in Data
Fusion (and How to Avoid Them),
David L. Hall, Amulya K. Garga, Penn State University, PA
75 The Omnibus Model:
A New Architecture for Data Fusion,
Mark Bedworth and Jane O’Brien, DERA, UK
84 Data Fusion in
Support of Dynamic Human Decision Making,
Stephane Paradis, Richard Breton, Jean Roy, Defence Research Establishment
Valcartier, (DREV), Canada
44 Implementing
Knowledge and Data Fusion in a Versatile Software Environment for Adaptive Learning and
Decision-Making.
David Tuck, Industrial Research Ltd, Auckland, New Zealand,
Nik Kasabov and Michael Watts, University of Otago, New Zealand
190 A Hybrid
Artificial Intelligence Architecture for Battlefield Information Fusion,
Paul G. Gonsalves, Gerard J. Rinkus, Subrata K. Das, Nick T. Ton, Charles River
Analytics, Cambridge, MA
Session WA3 Fusion for Target Tracking II
Chair: S. Musick, US Air Force Research Laboratories
55 A Possibilistic
Approach of High Level Tracking in a Wide Area,
Oliver Wallart, Cina Motamed, Mohammed Benjelloun, Universite du Littoral Cote
d’Opale, France
48 Searching Tracks,
J.P LeCadre, IRISA/CNRS, France
60 Passive Sonar
Fusion for Submarine C2 Systems,
Pailon Shar, X. Rong Li, University of New Orleans, LA
68 A PDAF with a
Bayesian Detector,
Ruixin Niu and Peter Willett, University of Connecticut, USA
85 A Depth Control
Pruning Mechanism for Multiple Hypothesis Tracking,
Jean Roy, Defence Research Establishment Valcartier (DREV), Canada
Nicolas Duclos-Hindie, Dany Dessureault, Groupe Informission Inc., Canada
92 Efficient
Multisensor-Multitarget Tracking Using Clustering Algorithms,
Muhammad Riad Chummun, T. Kirubarajan, Krishna R. Pattipati and Yaakov Bar-Shalom,
University of Connecticut, USA
Session WA4 Biological and Linguistic Models for Fusion
Chair: George Chapline, Lawrence Livermore
National Laboratory
99 Verb Sense
Disambiguation through the Fusion of Two Independent Systems,
A. Fatholahzadeh, Ecole Superieure d’Electricite, France,
Sylvain Delisle, Universite du Quebec a Trois-Rivieres, Quebec, Canada
157 Query Evaluation
and Information Fusion in a Combined Retrieval/Mediator System for Multimedia Documents,
Ingo Glockner and Alois Knoll University Bielefeld, Germany
100 Web Data
Compression for Competitive Information: Navigation and Filtering with Linguistic
Relationships of Inclusion,
Omar Larouk, ENSSIB, France
192 Knowledge Fusion in
the Large --- Taking a Cue from the Brain,
Lokendra Shastri, International Computer Science Institute, Berkeley, CA
* 33 Information Blending
in Virtual Associative Networks: A New Paradigm for Sensor Integration,
Yan M. Yufik, Institute of Medical Cybernetics, Inc., Raj Malhotra, AFRL,
Wright-Patterson Air Force Base, OH
* 140 Leveraging
Biological Models for Robust, Adaptive ATR,
Raj Malhotra, AFRL, Wright-Patterson Air Force Base, OH
Session WB1
Knowledge-Based Techniques for Information Fusion and Discovery
Chair: Ray Liuzzi and Craig Anken, US Air Force Research Laboratories
41 Domain specific
document retrieval using n-word combination index terms,
David Johnson, Wesley W. Chu, UCLA, CA
59 IMPACT: Intelligent
Mining Platform for the Analysis of Counter Terrorism,
Sherry E. Marcus, Darrin Taylor, 21st Century Technologies, McLean, VA
71 Recursive Knowledge
Discovery through Data-Aware Visualizations,
Terrance Goan and Laurie Spencer, Stottler Henke Associates, USA
95 Semi-Automatic
Integration of Knowledge Sources,
Prasenjit Mitra, Gio Wiederhold, Jan Jannink, Stanford University, CA
104 Knowledge
Discovery and Data Mining Using an Electro-Optical Data Warehouse,
P. Bruce Berra, Wright State Univ., Pericles A. Mitkas, Colorado State University,
Ray Liuzzi, AFRL/IFTB Rome, NY, Lorraine M. Duvall, Ramsey Ridge Enterprises, Keene, NY
118 Knowledge
Discovery and Knowledge Bases: Problems and Opportunities,
Vinay Chaudhri, Marie E. desJardins, SRI International, Menlo Park, CA
149 Exploring
Reusability Issues in Telemetry Knowledge Bases,
Mala Mehrotra, Pragati Synergetic Research Inc., Yorktown VA, USA
141 Thesaurus Entry
Extraction from an On-Line Dictionary,
Jan Jannink, Stanford University, CA
Session WB2 Hardware for
Information Fusion
Chair: Adrian Stoica, NASA Jet Propulsion Laboratory
163 Extended Logic
Intelligent Processing System as a Sensor Fusion Processor Hardware,
Taher Daud, Adrian Stoica, Wei-Te Li, Jet Propulsion Lab, CA, James Fabunmi, AEDAR
Corp., USA
164 High Performance
Embedded Computing with Configurable Computing Machines,
Peter M. Athanas, Virginia Polytech, Blacksburg, VA
191 Wavelet Neuron
Filter with the Local Statistics Oriented to the Pre-processor for the Image Signals,
Noiaki Suetake, Naoki Yamauchi, Takeshi Yamakawa, Kyushu Institute of Technology,
Iizuka, Japan
165 Reconfigurable
Architectures and Systems for Real-Time Low-Level Vision,
Arrigo Benedetti, Pietro Perona, Caltech, Pasadena, CA
160 1ms Sensory-Motor Fusion System with Hierarchical Parallel
Processing Architecture,
Masatoshi Ishikawa, Akio Namiki, Takashi Komuro, and Idaku Ishii, University of Tokyo, Japan
162 Soft-Computing
Integrated Circuits for Intelligent Information Processing,
Tadashi Shibata, University of Tokyo, Japan
202 Novel Image
Enhancement Method Based on Intuitive Evaluations,
Keiichi Horio, Takuma Haraguchi, Takeshi Yamakawa, Kyushu Institute of Technology,
Iizuka, Japan
** 203 Security and
Performance for the Storage Area Network,
Qiang Li, Santa Clara University, Santa Clara, CA
* 161 3-D VLSI
Architecture Implementation for Data Fusion Problems Using Neural Networks,
Tuan A. Duong, NASA Jet Propulsion Lab, Pasadena, CA
Session WB3 Multisensor-Multisource Fusion for Object Tracking and Recognition
Chair: Shishir Shah, Wayne State University
172 Computer Assisted
Multisensor System for Surveillance,
Alessandro Bozzo, Ubaldo Menegotti, Paolo Pillinini, Elettronica S.P.A., Roma, Italy
173 Integration of
Optical Intensity and Hydice Images for Building Modeling,
A Huertas, D. Landgrebe and R. Nevatia, University of Southern California, Los
Angeles, CA
174 Image Database
Indexing using a Combination of Invariant Shape and Color Descriptions,
Ronald Alferez and Yuan-Fang Wang, University of California, Santa Barbara, CA
175 Fusion of Multiple
Cues for Video Segmentation,
Bikash Sabata and Moises Goldszmidt, SRI International, CA
176 Application of Low
Discrepancy Sequences and Classical Control Strategies for Image Registration,
Dinseh Nair and Lothar Wenzel, National Instruments, Austin, TX
177 Image Indexing for
Multimedia using Color and Textual Features,
N. Nandhakumar, D. Bhatt, J. Wang, LG Electronics, Princeton, NJ
178 Statistical
Decision Integration using Fisher Criterion,
Shishir Shah, Wayne State University, Detroit, MI
Session WB4 Fusion for Target Tracking III
Chairs: X. Rong Li, University of New Orleans and T. Kirubarajan, University of
Connecticut
8 Track Fusion
Algorithms in Decentralized Tracking Systems with Feedback in a Fighter Aircraft
Application,
Mathias Karlsson, Anders Malmberg, Thomas Jensen, Leif Axelsson, SAAB AB, Gripen,
Sweden
32 IPDAF in
Distributed Sensor Networks for Tracking Occasionally Occulted Ground Targets in a
Cluttered Urban Environment,
Jean Dezert, ONERA, Chatillon, France
35 An Efficient Method
for Uniformly Generating Poisson-Distributed Number of Measurements in a Validation Gate,
Tan-Jan Ho and M. Farooq, Royal Military College of Canada
93 Passive Ranging of
a Low Observable Ballistic Missile in a Gravitational Field Using a Single Sensor,
Yueyong Wang, T. Kirubarajan and Yaakov Bar-Shalom, University of Connecticut, USA
51 Bayesian Networks
for Target Identification and Attribute Fusion with JPDA,
P. Korpisaari and J. Saarinen, Tampere University of Technology, Finland
23 An Adaptive IMM
Algorithm for Aircraft Tracking, Emil Semerdjiev,
Ludmila Mihaylova, Bulgarian Academy of Sciences, Bulgaria,
X. Rong Li, University of New Orleans, LA, USA
30 Tracking
Maneuvering Targets Using Geographically Separated Radars,
Hiroshi Kameda, Shingo Tsujimichi, Yoshio Kosuge, Mitsubishi Electric Corp., Japan
47 Particle Methods
for Multimodal Filtering,
Christian Musso and Nadia Oudjane, ONERA/DTIM-MCT, Chatillon, France
* 159 Statistical
Models and Inference for Land Situation Assessment,
Daniel McMichael and Nickens Okello,
The Cooperative Research Centre for Sensor Signal and Information Processing (CSSIP),
South Australia
106 An Algorithm for
Quasi-Hierarchy Fusion Estimation with Transforming Observation Values,
Hongyan Sun, Kezhong He, Bo Zhang, Tsinghua University, Beijing, China
Thursday July 8
Session RA1 Image Fusion III
Chair: Robert S. Lynch, Naval Undersea
Warfare Center, RI.
USA
91 Visible/IR Battlefield
Image Registration using Local Hausdorff Distances,
Yunlong Sheng, Xiangjie Yang, Daniel McReynolds, Universite Laval, Canada,
Piere Valin, Lockheed Martin Canada, Leandre Sevigny, Defence Research Establishment
Valcartier, Canada
170 Target Imagery
Classification System (TICS),
Scott C. McGirr, SSC, San Diego, CA, Gerald Bartholomew, SPAWAR, San, Diego, CA,
Ronald Mahler, Lockheed Martin, St. Paul, MN, Robert Myre, SRC, Virginia Beach, VA
96 Fusion of Color
Information for Image Segmentation Based on Dempster-Shafer's Theory,
Patrick Vannoorenberghe and Olivier Colot, Laboratoire PSI, Universite INSA de Rouen,
France
38 Testbed for Fusion
of Imaging and Non-Imaging Sensor Attributes in Airborne Surveillance Missions,
Alexandre Jouan, Pierre Valin, Lockheed Martin Canada,
Eloi Boss, Defense Research Establishment Valcartier, Canada
13 Comparison of Two
Integration Methods of Contextual Information in Pixel Fusion,
S. Fabre, ONERA/DOTA, Toulouse, A. Appriou, ONERA/DTIM, Chatillon, X. Briottet,
ONERA/DOTA, Toulouse, P. Marthon, ENSEEIHT/LIMA, Toulouse, France
* 158
Iterative Model Based Pose Estimation in Stereo Imagery,
Piotr Jasiobedzki, Mark Abraham, Nicole Aucoin, Perry Newhook, SPAR Aerospace,
Montreal, Canada
Session RA2
Fusion Architecture and Management II
Chair: Ivan Kadar, Consultant, Interlink and Northrup Grumman Corp., USA
109 A Dynamic Flexible
Grouping Over CORBA Based Network Within and Across Organizations,
Takashi Okuda, Aichi Prefectural University, Aichi, Japan, Seiji Adachi, Tetsuo
Ideguchi, Hiroshi Yasukawa, Bxuejun Tian, Japan
110 Distributed
Coordination of Data Fusion
Tiranee Achalakul, Kyung-Suk Lhee, Stephen Taylor, Syracuse University, NY.
50 An Information System for
Object Classification and Situation Analysis using Data from Multiple Data Sources,
Erland Jungert, Swedish Defence Research Establishment, Linkoping, Sweden
154 Fusion
Architecture for Multisensor in Mobile Environment,
Datong Chen, Albrecht Schmidt, Hans-Werner Gellesen, University Karlsruhe, Germany
* 142 ThinkBase, A
Novel Methodology for Knowledge and Data Acquisition, Storage and Delivery,
Andy Edmonds, Science in Finance Ltd., UK
3 A Distributed VIPD
Architecture with Central Coordinator,
Yinsheng Li, Heming Zhang, Bingshu Tong, Hongxing Huang, Tsinghua University,
Beijing, China
6 Agent-Based
Information Processing System Architecture,
Zhongyan Luo, Tsinghua University, Beijing, China
Session RA3
Information Fusion for Decision Support
Chair: Galina Rogova, Calspan/CUBRC, NY, USA
111 Bayesian Belief
Network for Modeling the Subjective Judgment of Experts,
Mark Bedworth, Jane O’Brien, DERA, U.K.
112 Assembling a
Distributed Fused Information-based Human-Computer Cognitive Decision Making Tool,
Erik Blasch, Air Force Research Laboratory (WPAFB), OH
14 Hybrid Approach to
Multiattribute Decision Making,
Galina Rogova, Center for Multisource Information Fusion, CUBRC, Buffalo, NY,
Paul Losiewicz, Analytical System Engineering Corp., Rome, NY
113 An Assessment of
Alternative SAR Display Formats: Orientation and Situational Awareness,
Gilbert G. Kuperman, AFRL, OH, USA
Michael S. Brickner, Pamam Human Factors Engineering, Ltd., Israel,
Itzhak Nadler, Israel Air Force, Israel
114 Human Performance
and Data Fusion Based Decision Aids,
Ann M. Bisantz, Richard Finger, Younho Seong, James Llinas, SUNY Buffalo, NY
119 Literature Survey
on Computer-Based Decision Support for Command and Control Systems,
Elisa Shahbazian, Marc-Alain Simard, Jean-Remi Duquet, Lockheed Martin Canada
Session RA4
Fusion for Fault Detection
and Diagnosis
Chair: Mark Alford, Air Force Research Laboratory-Rome, NY, USA
64 Detection and
Localization of Faults in System Dynamics by IMM Estimator,
L. Mihaylova, E. Semerdjiev, and X. Rong Li, Dept. of Electrical Engineering,
University of New Orleans, LA,USA
195 Diagnostic
Information Processing for Sensor-Rich Distributed Systems,
Elmer Hung, Feng Zhao, Xerox Palo Alto Research Center, Palo Alto, CA
2 Sensory Based Expert
Monitoring and Control,
Gary G. Yen, Oklahoma State University, USA
66 Fault Diagnosis
using Multi-Parameter Fusion,
Lixiang Shen, Francis Tay, National University of Singapore
45 Application of
Neural Fusion to Accident Forecast in Hydropower Station,
Lingyu Xu, Hai Zhao, Xin Xiang, Northeast University, Shenyang, China
Session RB1
Management and Business
Information Fusion
Chair: Nianyi Chen, Chinese Academy of Sciences, Shanghai, P. R. China
108 Aggregate
Set-Utility for Multidemand-Multisupply Functions,
Erik Blasch, WPAFB, OH, USA
143 Knowledge
Discovery Applied to Agriculture Economic Planning,
Bingru Yang, Beijing University of Science and Technology, China
138 Fusion of Neural
Classifiers for Financial Market Prediction,
Trish Keaton, Caltech, Pasadena, CA
196 Quantifying
Operational Risk using MC Simulations and Bayesian Networks,
Prabhat Ojha and Vishrut Jain, National University of Singapore, Singapore
400 A Study on
Stock Data Mining by Map Recognition,
Nianyi Chen, Laboratory of Data Mining, Shanghai, P. R. China
Wenhua Wang, Salomon Smith Barney, New York, NY, USA
Dongping Daniel Zhu, Zaptron Systems, Inc., Mountain View, CA, USA
401
A Universal Method for Non-Linear Systems Equations and Non-Linear Programming Problems
Kamyshnikov A.Vladimir, Department of Economy, Tomsk State Architectural University,
Russia
107
Entity-Relation-Problem (ERP) Model for General MIS
Yanzhang Wang, Dalian University of Technology, Dalian, China
Session RB2 Multisensor Target Tracking
and Recognition of Small-to-Medium Sized Targets
Chair: Oliver Drummond, Consulting Engineer, Culver City, CA, USA
131 ARTAS: An
IMM-based Multisensor Tracker,
R.A. Hogendoorn, C. Rekkas, W.H.L. Neven, National Aerospace Laboratory, The
Netherlands
179 An Adaptive
Bayesian Approach to Fusion of Imaging and Kinematic Data,
Boris Rozovskii, Alexander Tartakovsky, George Yaralov, Univ. of Southern California,
USA
180 Some Advances in
Data Association for Multisensor and Multitarget Tracking,
Aubrey B. Poore, Colorado State University, USA
181 On Features and
Attributes in Multisensor, Multitarget Tracking,
Oliver E. Drummond, Independent Consulting Engineer, Culver City, CA
63 Optimal Distributed
Estimation Fusion in Linear Unbiased LMS Sense,
Y. Zhu, Sichuan University, China, and X. Rong Li, University of New Orleans, USA
201 Motion Detection
and Tracking for Human Activity Monitoring,
Cina Motamed, Universite du Littoral Cote d’Opale, France
Session RB3
Emerging Applications I
Chair: Xue-Gong Zhang, Tsinghua University, Beijing, P. R. China
4 Estimate Traffic
with Combined Neural Network Approach,
Edmond Chin-Ping Chang, Texas A&M University and Oak Ridge National Laboratory,
USA
54 Combining Multiple
Biometric Person Authentication Systems,
Weijie Liu, NTT Data Corporation, Japan
117 A Study on
CORBA-Based Distributed Earthquake Observation System,
Xuejun Tian, Hiroshi Yasukawa, Tetsuo Ideguchi, Takashi Okuda, Seiji Adachi, Masayasu
Hata, Aichi Prefectural University, Aichi, Japan
10 Collaborating Information
from Different Sources for Petroleum Reservoir Prediction,
Xuegong Zhang, Department of Automation, Tsinghua University, Beijing, China
11 Petroleum Reservoir
Framework Prediction by Information Fusion,
Wenkai Lu, Xuegong Zhang, Yanda Li, Tsinghua University, Beijing, China
* 76 Multivariate
Sensor Fusion by a Temporally Coded Neural Network Model,
Hans-Heinrich Bothe, Lena Biel, Orebro University, Sweden
* 25 A Novel Method
for Enhanced Output Expressions of Feedforward Neural Network Classifiers,
De-Shuang Huang, Beijing Institute of System Engineering, Beijing, China
26 A Novel Minimal
Norm Based Learning Subspace Method,
De-Shuang Huang, Beijing Institute of System Engineering, Beijing, China
146 Integration of Human
Knowledge and Sensor Fusion for Machining, not to present
Theo van Niekerk, Z. Katz, J. Huang, Port Elizabeth Technikon, South Africa
58 Receptor-Effector
Neural-Like Growing Network – an Efficient Tool for Building Intelligence Systems,
Vitaly Yaschenko, Institute of Mathematical Machines & Systems, Ukraine
Session RC1
Emerging Applications II
Chair: Peter Wide, Orebro University, Sweden
135 Data Analysis and Signal
Processing in the Gravity Probe B Relativity Experiment,
M.I. Heifetz, G.M. Keiser, Stanford University, CA
144 Hyperspace Data
Mining with Applications to Biotech,
Nianyi Chen, Laboratory of Data Mining, Shanghai, P. R. China
Longjun Chen, CISCO Systems, Inc. San Jose, CA, USA
Dongping Daniel Zhu, Zaptron Systems, Inc., Mountain View, CA, USA
28 A Multi-Spectral
Data Fusion Approach to Speaker Recognition,
J.E. Higgins. R.I. Damper and C.J. Harris, University of Southampton, U.K.
69 The Artificial
Sensor Head: A New Approach in Determining of Human based Quality,
Peter Wide and F. Winquist, Orebro University, Sweden
12 Improving
Resolution of Seismic Sections based on Method of Information Fusion with Well-log Data,
Ke Zhang, Xuegong Zhang, Yanda Li, Tsinghua University, Department of
Automation, Beijing, China
402 A New Structure of
ESKD—Generalized Diagnosis Type Expert System Based on Knowledge Discovery
Bing-ru Yang and Hai-hong
Sun, Beijing
University of Science and Technology, Beijing, China
Session
RC2 Classification II
Chair: M. Hinman, Air Force Research Laboratory, USA
166 Model-Based
Sensors Validation through Bayesian Conditioning and Dempster's Rule of Combination,
Aldo Franco Dragoni, Maurizio Pandolfi, University of Ancona, Italy
78 Merge and Split
Hypothesis for Data Fusion in the Evidential Reasoning Approach,
E-h. Zahzah, L. Mascarilla, Universite d’Informatique et d’Imagerie
Industrielle, France
57 A Classification
Method Based on the Dempster-Shafer's Theory and Information Criteria,
E. Lefevre, O. Colot, P. Vannoorenberghe, INSA de Rouen, France
90 Recursive
Composition Inference for Force Aggregation,
Jason K. Johnson, Ronald D. Chaney, Alphatech, Burlington, MA
56 Using Hierarchical
Classification to Exploit Context in Pattern Classification for Information Fusion,
Alex Bailey and Chris Harris, University of Southampton, U.K.
20 Fusion of
Information Multisensors Heterogeneous Using an Entropy Criterion,
B. Fassinut-Mombot, M. Zribi, J.B. Choquel, Universite du Littoral Cote d’Opale,
France
151 A Classification
Scheme Using Distributed Binary Decision Trees,
Qian Zhang, Pramod K. Varshney, Syracuse University, NY, USA
* 52
Dempster-Shafer Belief Propagation in Attribute Fusion,
P. Korpisaari and J. Saarinen, Tampere University of Technology, Finland
Session RC3
Sensor Fusion for Automatic Target
Recognition
Chair: Erik Blasch, Air Force Research Laboratory, USA
139 Fusion of HRR and
SAR Information for Automatic Target Recognition and Classification,
Erik Blasch, Air Force Research Laboratory (WPAFB), OH
133 A SAR-FLIR Fusion
ATR System,
Yang Chen and Kurt Reiser, HRL Laboratories, Malibu, CA
62 Fusion, Tracking,
Command and Control,
Pailon Shar and X.Rong Li, University of New Orleans, LA, USA
148 Target Recognition
and Tracking based on Data Fusion of Radar/Infrared Image Sensors, - not to present
Jie Yang, Zheng-Gang Lu, and Ying-Kai Guo, Shanghai Jiao-Tong University, Shanghai,
China
End of
Schedule
The Golden Gate Bridge, San
Francisco, California, viewed from the U-2 airplane.
Courtesy of NASA Ames Research Center, photographer Dominic
Hart.
1999 DoD-IRIS National Symposium
on Sensor & Data Fusion - NSSDF'99
May 24 -27, 1999
Johns-Hopkins University, Applied Physics Laboratory, Laurel, Maryland,
USA
1999 NASA Data Fusion-Data Mining
Work Shop
July 9-10, 1999, NASA Ames
Research Center, Moffett
Training and Conference Center
500 Severyns Avenue, Building 3, Moffett Field, CA 94035-1000, USA
MFI'99 - 1999 IEEE International Conference on
Multisensor Fusion & Integration for Intelligent Systems
August 15-18, 1999, The Grand Hotel, Taipei, Taiwan,
EuroFusion'99 -- International Conference on Data Fusion
October 5-7, 1999,
Stratford-upon-Avon, Warwickshire, UK
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Paper list of FUSION'98
(Las Vegas, NV, USA, July, 1998)
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