DSS2015-final-lr

CONFERENCE 9474LOCATION: CONV. CTR. ROOM 347PANEL DISCUSSIONLOCATION: CONV. CTR. ROOM 347 . ............ 1:15 PM TO 4:45 PMIssues and Challenges of the Applicationsof Context to Enhance Information FusionPanel Organizers: Erik Blasch, Air Force Research Lab. (USA);Ivan Kadar, Interlink Systems Sciences, Inc, (USA)Panel Moderators: Ivan Kadar, Interlink Sciences Systems, Inc. (USA);Chee-Yee Chong, Independent Consultant (USA)Panel Members: Erik Blasch, Air Force Research Lab. (USA);Alex L. Chan, U.S. Army Research Lab. (USA);Chee-Yee Chong, Independent Consultant (USA);Laurie H. Fenstermacher, Air Force Research Lab. (USA);Ivan Kadar, Interlink Systems Sciences, Inc. (USA);Ronald P. S. Mahler, Consultant (USA);Alan N. Steinberg, Independent Consultant (USA);Paul Tandy, Defense Threat Reduction Agency (USA);Shanchieh Jay Yang, Rochester Institute of Technology (USA)For a given application contextual information represents prior domainknowledge about the setting of the scenario/process to commence. Thecontextual knowledge can be acquired from prior (historical) experience,provided by external sources (e.g., user), learned from process experience,e.g., context awareness, prediction and search; and can be updated/corrected if changes are detected, e.g., by machine learning.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 informationfusion (IF). Context is a multi-faceted entity, and can represent a settingfor 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, contextis 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 managedand taken into account. Therefore, it is important to incorporate contextualinformation at the outset in all IF levels and associated systems designs inorder to enhance the performance of the overall IF system and the on-goingapplication.For example in tracking application one can describe at least five contextualcategories: (1) domain knowledge from a user to aid the informationfusion process through selection, cueing, and analysis, (2) environmentto-hardwareprocessing for sensor management, (3) known distributionof entities for situation/threat assessment, (4) historical traffic behavior forsituation awareness patterns of life (POL), and (5) road information for targettracking and identification. Appropriate characterization and representationof contextual information is needed for future high-level information fusionsystems design to take advantage of the large data content available for apriori knowledge target tracking algorithm construction, implementation, andapplication.The objective of this panel is to bring to the attention of the fusion communitythe importance of the application of contextual knowledge to enhanceIF, highlighting issues, illustrating potential approaches and addressingchallenges. A number of invited experts will discuss challenges of the fusionprocess and research to address these challenges. The panelists will illustrateparts of the above mentioned areas over different applications and addressall levels of information fusion. Conceptual and real-world related examplesassociated with the use of context to enhance IF will be used by the panel tohighlight impending issues and challenges.DSS PLENARY PRESENTATION .. MON 5:00 PM TO 6:00 PMLOCATION: CONV. CTR. BALLROOM 1, LEVEL 4Emerging Research and Engineering Capabilitiesfor NextGen WarfightersALAN R. SHAFFERPrincipal Deputy Assistant Secretary ofDefense Research and EngineeringDepartment of DefenseSee details page 9TUESDAY 21 APRILSESSION 3LOCATION: CONV. CTR. ROOM 347 .......... TUE 8:30 AM TO 10:30 AMInformation FusionMethodologies and Applications ISession Chair: Ronald P.S. Mahler, Consultant (USA)8:30 am: CPHD filters with unknown quadratic clutter generators,Ronald P. S. Mahler, Consultant (USA)..........................[9474-11]8:50 am: On multitarget pairwise-Markov models, Ronald P. S. Mahler,Consultant (USA)...........................................[9474-12]9:10 am: Distributed fusion of multitarget densities and consensus PHDfilters, Giorgio Battistelli, Luigi Chisci, Claudio Fantacci, Univ. degli Studi diFirenze (Italy); Alfonso Farina, Antonio Graziano, SELEX ES S.p.A. (Italy); RonaldP. S. Mahler, Consultant (USA) ................................[9474-13]9:30 am: A distributed general multisensor cardinalized probabilityhypothesis density (CPHD) filter for sensor networks, Syamantak DattaGupta, Santosh Nannuru, Mark Coates, Michael Rabbat, McGill Univ.(Canada) .................................................[9474-14]9:50 am: Integrate knowledge acquisition with target recognition throughclosed-loop ATR, Ssu-Hsin Yu, Pat McLaughlin, Aleksandar Zatezalo, ScientificSystems Co., Inc. (USA) .....................................[9474-15]10:10 am: Stochastic geometry for space situational awareness,Ba-Ngu B. Vo, Ba-Tuong Vo, Curtin Univ. (Australia) ...............[9474-18]Coffee Break ................................ Tue 10:30 am to 11:00 amSESSION 4LOCATION: CONV. CTR. ROOM 347 ..........TUE 11:00 AM TO 11:40 AMInformation FusionMethodologies and Applications IISession Chairs: Chee-Yee Chong, Independent Consultant (USA);Michael L. Hinman, Air Force Research Lab. (USA);Ivan Kadar, Interlink Systems Sciences, Inc. (USA);Kenneth Hintz, George Mason Univ. (USA)11:00 am: Proof that particle flow corresponds to Bayes’ rule: necessaryand sufficient conditions, Frederick E. Daum, Raytheon Co. (USA) . . [9474-19]11:20 am: A baker’s dozen of new particle flows for nonlinear filters,Bayesian decisions and transport, Frederick E. Daum, Jim Huang, RaytheonCo. (USA).................................................[9474-20]Lunch/Exhibition Break ......................... Tue 11:40 am to 1:20 pmSESSION 5LOCATION: CONV. CTR. ROOM 347 ............TUE 1:20 PM TO 3:00 PMInformation FusionMethodologies and Applications IIISession Chairs: Chee-Yee Chong, Independent Consultant (USA);Michael L. Hinman, Air Force Research Lab. (USA); Ivan Kadar, InterlinkSystems Sciences, Inc. (USA); Kenneth Hintz, George Mason Univ. (USA)1:20 pm: Feynman path integral and Monte Carlo methods for nonlinearfiltering, Bhashyam Balaji, Defence Research and Development Canada(Canada) .................................................[9474-21]1:40 pm: Feature-aided multiple hypothesis tracking using topological andstatistical behavior classifiers, David M. Rouse, Johns Hopkins Univ AppliedPhysics Lab. (USA); Adam S. Watkins, Jonathan T. DeSena, Jesse C. Clarke,David W. Porter, Jeffrey Gilbert, Johns Hopkins Univ. Applied Physics Lab.,LLC (USA); Paul Bendich, Nathaniel Strawn, Elizabeth Munch, John Harer, DukeUniv. (USA); Peter Chin, Draper Lab. (USA); Andrew J. Newman, Johns HopkinsUniv. Applied Physics Lab., LLC (USA)..........................[9474-22]2:00 pm: OCULUS Sea Track fusion service, Stylianos C. Panagiotou,Constantinos Rizogiannis, Stavros Katsoulis, Vassilis Lampropoulos, SotiriosKanellopoulos, Stelios C. A. Thomopoulos, National Ctr. for Scientific ResearchDemokritos (Greece) ........................................[9474-23]2:20 pm: OCULUS Sea: a maritime surveillance platform, SotiriosKanellopoulos, Stavros Katsoulis, Dionysis Motos, Vassilis Lampropoulos,Christos Margonis, Kostantinos Dimitros, Stelios C. A. Thomopoulos, NationalCtr. for Scientific Research Demokritos (Greece) ..................[9474-24]2:40 pm: A technique for sensors fusion with limited number of commonmeasures, Carlo Quaranta, Giorgio Balzarotti, SELEX ES S.p.A. (Italy). [9474-25]Coffee Break ..................................Tue 3:00 pm to 3:30 pm98 SPIE DSS 2015 · www.spie.org/dss