Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 9474, including the Title Page, Copyright information, Table of Contents, Introduction (if any), and Conference Committee listing.

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Author(s), “Title of Paper,” in Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, edited by Ivan Kadar, Proceedings of SPIE Vol. 9474 (SPIE, Bellingham, WA, 2015) Article CID Number.

ISSN: 0277-786X

ISBN: 9781628415902

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Authors

Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. The first four digits reflect the volume number. Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B…0Z, followed by 10-1Z, 20-2Z, etc.

Abdelazim, S., 1B

Aboutanios, Elias, 06

Ahmed, S., 1B

Al-Shabi, M., 08, 09, 1I

Arend, M., 1B

Arslan, Musa Tunç, 14

Balaji, Bhashyam, 02, 03

Balzarotti, Giorgio, 0O

Bar-Shalom, Yaakov, 07

Battistelli, G., 0E

Belfadel, Djedjiga, 07

Bendich, Paul, 0L

Blasch, Erik, 0Q, 0R, 12

Boskovic, Jovan, 0G

Carlotto, Mark J., 0Z

Çetin, Ahmet Enis, 14

Chan, Moses W., 05

Chang, Kuo-Chu, 0U

Chin, Sang, 0L

Chisci, L., 0E

Choe, Tok Son, 1D

Chong, Chee, 0Q

Chong, Edwin K. P., 0A

Clarke, Jesse, 0L

Coates, M., 0F

Costa, Russell, 04

Culp, Michael, 0W

Damini, Anthony, 02

Datta Gupta, S., 0F

Daum, Fred, 0I, 0J

Daya, Zahir, 03

DeSena, Jonathan, 0L

Dezert, Jean, 0P

Dierking, Matthew, 1A

Dimitros, Kostantinos, 0N

Ekedebe, Nnanna, 1F

Fantacci, C., 0E

Farina, A., 0E

Fenstermacher, Laurie, 0Q

Fitch, James A., 0T

Flenner, Arjuna, 0W

Flenner, Jennifer, 0W

Gadsden, S. A., 08, 09, 1I

Garcia-Cardona, Cristina, 0W

Garrett, James S., 0X

Gilbert, Jeff, 0L

Goley, Steve, 1A

Gorman, John D., 0Q

Grewe, Lynne, 17

Gurram, Prudhvi, 13

Harer, John, 0L

Heinrich, Daniela H., 11

Hsiao, Kai-yuh, 0G

Hu, Shuowen, 13

Huang, Jim, 0I, 0J

Jones, Eric K., 0Q

Joo, Sang Hyun, 1D

Kadar, Ivan, 0Q

Kanellopoulos, Sotirios A., 0M, 0N

Katsoulis, Stavros, 0M, 0N

Kennedy Scott, Will, 15

Kirubarajan, Thiagalingam, 02, 03, 08, 09

Lampropoulos, Vassilis, 0M, 0N

Levchuk, Georgiy, 0Q

Liu, Chi-Him, 19

Lu, Chao, 1F

Lu, Kelin, 0U

Magaña-Zook, Steven, 17

Mahler, Ronald P. S., 0C, 0D, 0E

Maldague, Xavier, 0Y

Margonis, Chris, 0N

McGee, Ryan, 0W

McLaughlin, Pat, 0G

Mendoza-Schrock, Olga, 19

Mohammad, Atif Farid, 1E

Moras, Julien, 0P

Moshary, F., 1B

Moshtagh, Nima, 05

Motos, Dionysis, 0N

Munch, Elizabeth, 0L

Myler, Harley, 18

Nannuru, S., 0F

Newman, Andrew, 0L

Osborne, Richard, 07

Oxley, Mark E., 0T

Panagiotou, Stylianos C., 0M

Pannetier, Benjamin, 0P

Pantle, Allan J., 0X

Park, Jin Bae, 1D

Park, Yong Woon, 1D

Paul, Tiffany M., 0X

Peri, Joseph S. J., 0V

Pinkus, Alan R., 0X

Porter, David, 0L

Quaranta, Carlo, 0O

Rabbat, M., 0F

Rizogiannis, Constantinos, 0M

Romberg, Paul M., 05

Rouse, David, 0L

Sabordo, Madeleine G., 06

Santoro, D., 1B

Sarkale, Yugandhar, 0A

Schubert Kabban, Christine M., 0T

Segou, Olga E., 16

Selj, Gorm K., 11

Sevimli, Rasim Akin, 14

Shaw, Arnab, 1A

Short, Nathan, 13

Sithiravel, Rajiv, 02, 03

Smith, Ashley, 1A

Straub, Jeremy, 1E

Strawn, Nate, 0L

Thomopoulos, Stelios C. A., 0M, 0N, 16

Tierno, Jorge E., 0Q

Tofighi, Mohammad, 14

Vo, Ba-Ngu, 0H

Vo, Ba-Tuong, 0H Vongsy, Karmon, 19, 1A

Wang, Kai, 02

Watkins, Adam, 0L

Wei, J., 19

Wettergren, Thomas A., 04

Wilkerson, S. A., 1I

Yu, Ssu-Hsin, 0G

Yu, Wei, 1F

Zajic, Tim, 0B

Zatezalo, Aleksandar, 0G

Zhang, Qiong, 0Y

Zheng, Yufeng, 12

Zhou, Rui, 0U

Zhu, Zhigang, 19

Conference Committee

Symposium Chairs

  • Nils R. Sandell Jr., Strategic Technology Office, DARPA (United States)

Symposium Co-Chair

  • David A. Logan, BAE Systems (United States)

Conference Chair

  • Ivan Kadar, Interlink Systems Sciences, Inc. (United States)

Conference Co-chairs

  • Erik P. Blasch, Air Force Research Laboratory (United States)

  • Kenneth Hintz, George Mason University (United States)

  • Thia Kirubarajan, McMaster University (Canada)

  • Ronald P. S. Mahler, Consultant (United States)

Conference Program Committee

  • Mark G. Alford, Air Force Research Laboratory (United States)

  • Bhashyam Balaji, Defence Research and Development Canada (Canada)

  • William D. Blair, Georgia Tech Research Institute (United States)

  • Mark J. Carlotto, General Dynamics Advanced Information Systems (United States)

  • Alex L. Chan, U.S. Army Research Laboratory (United States)

  • Kuo-Chu Chang, George Mason University (United States)

  • Chee-Yee Chong, Consultant (United States)

  • Marvin N. Cohen, Georgia Tech Research Institute (United States)

  • Frederick E. Daum, Raytheon Company (United States)

  • Jean Dezert, The French Aerospace Laboratory (France)

  • Mohammad Farooq, AA Scientific Consultants Inc. (Canada)

  • Laurie H. Fenstermacher, Air Force Research Laboratory (United States)

  • Charles W. Glover, Oak Ridge National Laboratory (United States)

  • I. R. Goodman, Consultant (United States)

  • Lynne L. Grewe, California State University, East Bay (United States)

  • Michael L. Hinman, Air Force Research Laboratory (United States)

  • Jon S. Jones, Air Force Research Laboratory (United States)

  • Georgiy M. Levchuk, Aptima, Inc. (United States)

  • Martin E. Liggins II, Consultant (United States)

  • James Llinas, University at Buffalo (United States)

  • Raj P. Malhotra, Air Force Research Laboratory (United States)

  • Alastair D. McAulay, Lehigh University (United States)

  • Raman K. Mehra, Scientific Systems Company, Inc. (United States)

  • Harley R. Myler, Lamar University (United States)

  • David Nicholson, BAE Systems (United Kingdom)

  • Les Novak, Scientific Systems Company, Inc. (United States)

  • John J. Salerno Jr., Air Force Research Laboratory (United States)

  • Andrew G. Tescher, AGT Associates (United States)

  • Stelios C. A. Thomopoulos, National Center for Scientific Research Demokritos (Greece)

  • Wiley E. Thompson, New Mexico State University (United States)

  • Shanchieh Jay Yang, Rochester Institute of Technology (United States)

Session Chairs

  • 1. Multisensor Fusion, Multitarget Tracking, and Resource Management I Ivan Kadar, Interlink Systems Sciences, Inc. (United States) Thiagalingam Kirubarajan, McMaster University (Canada) Kenneth Hintz, George Mason University (United States)

  • 2. Multisensor Fusion, Multitarget Tracking, and Resource Management II Thiagalingam Kirubarajan, McMaster University (Canada) Kenneth Hintz, George Mason University (United States) Ivan Kadar, Interlink Systems Sciences, Inc. (United States)

  • 3. Information Fusion Methodologies and Applications I Ronald P.S. Mahler, Consultant (United States)

  • 4. Information Fusion Methodologies and Applications II Chee-Yee Chong, Consultant (United States) Michael L. Hinman, Air Force Research Laboratory (United States) Ivan Kadar, Interlink Systems Sciences, Inc. (United States) Kenneth Hintz, George Mason University (United States)

  • 5. Information Fusion Methodologies and Applications III Michael L. Hinman, Air Force Research Laboratory (United States) Kenneth Hintz, George Mason University (United States) Ivan Kadar, Interlink Systems Sciences, Inc. (United States)

  • 6. Information Fusion Methodologies and Applications IV Michael L. Hinman, Air Force Research Laboratory (United States) Kenneth Hintz, George Mason University (United States) Ivan Kadar, Interlink Systems Sciences, Inc. (United States) Erik Blasch, Air Force Research Laboratory (United States)

  • 7. Signal and Image Processing, and Information Fusion Applications I Lynne L. Grewe, California State University, East Bay (United States)

  • 8. Signal and Image Processing, and Information Fusion Applications II Lynne L. Grewe, California State University, East Bay (United States) Alex L. Chan, U.S. Army Research Laboratory (United States)

  • 9. Signal and Image Processing, and Information Fusion Applications III Alex L. Chan, U.S. Army Research Laboratory (United States) Lynne L. Grewe, California State University, East Bay (United States)

Introduction

Context is present in all aspects of processing and interpreting information—situation, data, text, imagery, target tracking/identification, web-analytics, and intelligence systems outputs; that is, in all aspects/levels of information fusion (IF). Context is a multi-faceted entity and can represent a setting for the assessment/interpretation of an event, scene, presence, situation, condition, constraint, influence, and many other entities clearly scenario/application dependent. There is context within context. Furthermore, context is not a static entity and can change over time (e.g., operating conditions, environment, geography, weather, seasons, roads, traffic, attitudes, behavior, preferences), affecting the performance of a given application if not managed and taken into account. Therefore, it is important to incorporate contextual information at the outset in all IF levels and associated systems designs in order to enhance the performance of the overall IF system and the on-going application.

For a given application, contextual information represents prior domain knowledge about the setting of the scenario/process to commence. The contextual knowledge can be acquired from prior (historical) experience, provided by external sources (e.g., the user), learned from process experience (e.g., context awareness, prediction and search), and it can be updated/corrected if changes are detected (e.g., by machine learning).

For example, one can describe at least five contextual categories in tracking applications: (1) domain knowledge from a user to aid the information fusion process through selection, cueing, and analysis; (2) environment-to-hardware processing for sensor management; (3) known distribution of entities for situation/threat assessment; (4) historical traffic behavior for situation awareness patterns of life (POL); and (5) road information for target tracking and identification. Appropriate characterization and representation of contextual information is needed for future high-level information fusion systems design to take advantage of the large amount of data available for a priori knowledge target-tracking algorithm construction, implementation, and application.

The objective of this panel was to bring to the attention of the fusion community the importance of the application of contextual knowledge to enhance IF by highlighting issues, illustrating potential approaches, and addressing challenges. A number of invited experts discussed the challenges of the fusion process as well as the research addressing these challenges. The panelists illustrated parts of the aforementioned areas over different applications and addressed all levels of information fusion. Conceptual and real-world related examples associated with the use of context to enhance IF were used by the panel to highlight impending issues and challenges.

Ivan Kadar

Erik Blasch

Chee-Yee Chong

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© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 9474", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 947401 (17 June 2015); https://doi.org/10.1117/12.2202240
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KEYWORDS
Data modeling

Data fusion

Information fusion

Sensors

Systems modeling

Analytical research

Performance modeling

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