Fusion15 Tech Plan Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Monday, July 6, 2015 0700-0800 Registration 0800-1200 Morning Tutorials Erik Blasch Subrata Das Thia Kirubarajan Ronald Mahler Stone, Streit, Bell Galina Rogova 6 concurrent tutorials Overview of High-Level Information Fusion Theory, Models, and Representations Big Data Fusion and Analytics Multisensor-Multitarget Tracker Development and Performance Evaluation for Realistic Scenarios Advances in Statistical Multisource-Multitarget Information Fusion Bayesian Multiple Target Tracking Information Quality in Human-Machine Integrated Environment 1200-1300 Lunch 1300-1700 Afternoon Tutorials Audun Jøsang Eric Little Yaakov Bar-Shalom Ba-Tuong Vo Mahendra Mallick Felix Govaers 6 concurrent tutorials Fusion and Belief Reasoning with Subjective Logic Applications of Scalable Semantic Technologies and Ontologies for Enhanced Higher Level Fusion Multitarget Tracking and Multisensor Information Fusion Implementations of random-finite-set-based multi-target filters Space Surveillance and Space Object Tracking An Introduction to the Distributed Kalman Filter and Track-to-Track Fusion Fusion15 Tech Plan Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Tuesday, July 7, 2015 0830 – 0930 Plenary Talk 1 – Independence Ballroom: Moshe Kam        0930 – 1000 Coffee Break 1000 – 1200 Session 1 – 10 concurrent sessions – 5 papers per session Chair Al Hero Pieter De Villiers Lyudmila Mihaylova James Ferry Ba-Tuong Vo Ron Mahler Joseph T. Bernardo Garfield Mellema Session Name Special Session: Large Scale Value-Centered Data Fusion Special Session: ETURWG – Part 1 Special Session: Sequential Monte Carlo Methods for Complex Systems Special Session: Real-World Problems with Network Abstractions Special Session: Sensor, Resources and Process Management for Information Fusion Systems Random sets and processes Fusion Enabled Decision Support Special Session: MSTWG             – Part 1 Paper 1 Efficient Information Planning in Gaussian MRFs Dissecting Uncertainty-Based Fusion Techniques for Maritime Anomaly Detection Improvements in the Implementation of Log-Homotopy Based Particle Flow Filters A Bayesian Idealization of Entity Resolution A Multiobjective Optimization Approach for Adaptive Binary Quantizer Design for Target Tracking in Wireless Sensor Networks Distributed Multi-Target Tracking Via Generalized Multi-Bernoulli Random Finite Sets Cognitive and Functional Frameworks for Hard/Soft Fusion for the Condition Monitoring of Aircraft Multi-Target Tracking for Multistatic Sonobuoy Systems Paper 2 Boosting Crowdsourcing with Expert Labels: Local Vs. Global Effects A Critical Assessment of Two Methods for Heterogeneous Information Fusion Langevin Monte Carlo Filtering for Target Tracking Multiscale Network Generation Improving ORM Utilizing Implicit Collaboration & Context Sensitive Fusion Joint Multi-Bernoulli RFS for Two-target Scenario Dynamic Resource Management and Information Integration for Proactive Decision Support and Planning Sensor Selection From Independence Graphs Using Submodularity Paper 3 OptFuse: Low-rank Factor Estimation by Optimal Data-Driven Linear Fusion of Multiple Signal-Plus-Noise Matrices Uncertainty Representation, Quantification and Evaluation for Data and Information Fusion A New Nonlinear State Estimator Using the Fusion of Multiple Extended Kalman Filters Utilizing Covariates in Partially Observed Networks Sparsity Promoting Sensor Management for Estimation: An Energy Balance Point of View A Fast Implementation of the Generalized Labeled multi-Bernoulli Filter with Joint Prediction and Update A Revised Method for Ranking Generalized Fuzzy Numbers The GFMT HPMHT Puzzle Paper 4 Distributed Sensing for Quickest Change Detection of Point Radiation Sources URREF for Veracity Assessment in Query-Based Information Fusion Systems Joint Antenna and Propagation Model Parameter Estimation Using RSS Measurements Detectability Analysis of Detection and Estimation of Structured Action From Cluttered Data Dynamic, Distributed Sensor Scheduling and Value of Information The Cardinalized Optimal Linear Assignment (COLA) Metric for Robotic Map Evaluation Correlation Coefficient Based Template Matching: Accounting for Uncertainty in Selecting the Winner Generalizations to the Track-Oriented MHT Recursion Paper 5 Adaptive Search for Multi-class Targets with Heterogeneous Importance Gradual and Binary Conflicts in Bayesian Networks Applied to Sensor Failure Detection Tracking of Wireless Mobile Nodes in the Presence of Unknown Path-loss Characteristics Hidden Network Reconstruction From Information Diffusion Stochastic Nonlinear Model Predictive Control Based on Deterministic Scenario Generation Tracking Targets with Pairwise-Markov Dynamics Towards Subjective Networks: Extending Conditional Reasoning in Subjective Logic Parameter Estimation for Multistatic Active Sonar Using Extended Fixed Points 1200 – 1300 Lunch 1300 – 1500 Session 2 – 10 concurrent sessions – 5 Papers per session Chair Robert Lynch Max Kruger Hans Driessen Tien Pham X. Rong Li Daniel Clark Geeth de Mel Jason Aughenbaugh Session Name Applications of data fusion Uncertainty management and reasoning Special Session: Sequential Monte Carlo Methods for Complex Systems Special Session: Real-World Problems with Network Abstractions Sensor and fusion process management including performance evaluation Target detection and localization; Estimation and filtering; Object tracking Special Session: Trust in Fused Information MSTWG – Part 2 Paper 1 Adaptive Filtering of Imprecisely Time-stamped Measurements with Application to AIS Networks Solving Conflicts in Database Fusion with Bayesian Networks Monte Carlo Based Distance Dependent Chinese Restaurant Process for Segmentation of 3D LIDAR Data Using Motion and Spatial Features Advances in Network Sciences Via Collaborative Multi-Disciplinary Research Threat-based Sensor Management for Joint Target Tracking and Classification Target Motion Analysis by Inverse Triangulation ComTrustO: Composite Trust-based Ontology Framework for Information and Decision Fusion Bayesian Broadband Passive Sonar Tracking Paper 2 Joint Radar Alignment and Odometry Calibration A Real Z-box Experiment for Testing Zadeh’s Example An Evaluation of Monte Carlo for Nonlinear Initial Uncertainty Propagation in Keplerian Mechanics Adaptive Dynamics, Control, and Extinction in Networked Populations Non-Parametric Consistency Test for Multiple-Sensing-Modality Data Fusion Bernoulli Filter with Linear Equality Constraints Trust Revision for Conflicting Sources Bayesian Passive Sonar Tracking with Conventional Beamformer-Level Data Paper 3 Learning Under Uncertainty for Interpreting the Pattern of Volcanic Eruptions Evidential Relational Clustering Using Medoids An Expectation Maximisation Algorithm for Behaviour Analysis in Video RDF Versus Attributed Graphs: The War for the Best Graph Representation Mock-Measurement Based Performance Evaluation of Inertial Navigation Doppler-Only Tracking Under a Minimum Detectable Velocity Constraint FUSE-BEE: Fusion of Subjective Opinions Through Behavior Estimation Multistatic Tracking Experiment with a WiFiRAD Passive Radar Paper 4 New Algorithms for Daylight Harvesting in a Private Office Active Data Collection for Inadequate Models How Can Subsampling Reduce Complexity in Sequential MCMC Methods and Deal with Big Data in Target Tracking? A Network Science Approach to Open Source Data Fusion and Analytics for Disaster Response Artificial Neural Networks for Estimation and Fusion in Long-Haul Sensor Networks Terminative Joint Sequential Object Detection and Tracking Based on Fused Test Statistics Multimodal Fusion Approach to Improving Quality of Information in Tactical Networks Configuration Selection for Fusion of Range-Only Measurements From Multistatic Radars for Air Collision Warning Paper 5 Fault Detection and Exclusion of Cycle Slips for Carrier-Phase in GNSS Positionning Data Fusion for Unsupervised Video Object Detection, Tracking and Geo-Positioning Accuracy and Consistency in Estimation and Fusion Over Long-Haul Sensor Networks A Comparison of Tracking Algorithms for Supermaneuverable Targets Crowdsourcing with Multi-Dimensional Trust 1530 – 1710 Session 3 – 10 concurrent sessions – 4 Papers per session Chair Paulo Costa Subrata Das James Ferry Ruixin Niu Peter Willett Lance Kaplan Garfield Mellema Joachim Biermann Session Name Big Data fusion Sensor and fusion process management including performance evaluation Target detection and localization Special Session: Trust in Fused Information MSTWG – Part 3 Paper 1 ETUR Working Group meeting Secure and Resilient Distributed Machine Learning Under Adversarial Environments Real world problems for Networking Panel Censoring in Distributed Radar Tracking Systems with Various Feedback Models Divide and Hough Transform Method for Fast Track Initiation in Dense Clutters Trust Metric Integration in Resource Constrained Networks Via Data Fusion Multistatic Tracking Working Group meeting NATO STO Task Group IST-132 Paper 2 Fusing Social Network Data with Hard Data Statistical Evaluation of Information Source Performance A Fault-tolerance Detection Formulation for Distributed Multisensor Systems Semiring-Based Trust Evaluation for Information Fusion in Social Network Services Paper 3 Temporal and Multi-Source Fusion for Detection of Innovation in Collaboration Networks New Trends in Radio Network Positioning Data Fusion with ML-PMHT for Very Low SNR Track Detection in an OTHR On the Quality Estimation of Optimal Multiple Criteria Data Association Solutions Paper 4 Distributed Big Data Search for Analyst Queries and Data Fusion A Method for Evaluating Joint Tracking and Classification Performance Fault Tolerant Fusion Approach Based on Information Theory Applied on GNSS Localization Optimal Fusion Rules for Label Fusion of Dependent Classification Systems 1740-1800 Buses leave 1800 Reception Fusion15 Tech Plan Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Wednesday, July 8, 2015 0830 – 0930 Plenary Talk 2 – Independence Ballroom – Colleen Keller 0930 – 1000 Coffee Break 1000 – 1200 Session 4 – 10 concurrent sessions – 5 papers per session Chair Gerhard Kurz M. Dolores Ruiz Juan Manuel Corchado Benjamin Noack Galya Rogova Michael Beard Marcus Baum Antonio Zea Session Name Special Session: Directional Estimation Data mining and machine learning in data fusion Special Session: Intelligent Information Fusion Special Session: Advances in Distributed Kalman Filtering Ontologies, graphs, and semantic reasoning for high level fusion Sensor management Special Session: Extended Object and Group Tracking Special Session: Data Fusion Methods for Indoor Localization of People and Objects Paper 1 Heart Phase Estimation Using Directional Statistics for Robotic Beating Heart Surgery Fast Imbalanced Classification of Healthcare Data with Missing Values Fusion of Sentiment Analysis and Emotion Recognition to Model the User’s Emotional State Track Association Using Augmented State Estimates Discover Trending Domains Using Fusion of Supervised Machine Learning with Natural Language Processing Sensor Selection Fusion Based on the Cross Entropy Optimization Probabilistic Data Association for Tracking Extended Targets Under Clutter Using Random Matrices Particle Filtering for Positioning Based on Proximity Reports Paper 2 Multimodal Circular Filtering Using Fourier Series Online Sparse Gaussian Process Regression for Trajectory Modeling Improving Scene Classification by Fusion of Training Data and Web Resources Comparison of Augmented State Track Fusion Methods for Non-full-rate Communication Use of Background Knowledge in Natural Language Understanding for Information Fusion A State Estimation and Malicious Attack Game in Multi-Sensor Dynamic Systems A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation Improving Indoor Localization by User Feedback Paper 3 Statistical Estimation and Clustering of Group-invariant Orientation Parameters Troll Detection by Domain-Adapting Sentiment Analysis Multi-source Data Clustering Chernoff Fusion of Gaussian Mixtures for Distributed Maneuvering Target Tracking Consensus: a Comprehensive Solution to the Grand Challenges of Information Fusion Sensor Control for Multi-target Tracking Using Cauchy-Schwarz Divergence Converted Measurements Random Matrix Approach to Extended Target Tracking Using X-band Marine Radar Data Proximity Report Triggering Threshold Optimization for Network-Based Indoor Positioning Paper 4 Non-Identity Measurement Models for Orientation Estimation Based on Directional Statistics Fuzzy Meta-Association Rules for Information Fusion On the Use and Misuse of Bayes Filters Approximation of Powers of Gaussian Mixtures Hidden Relationships Discovery Through High-Level Information Fusion Scheduling Multifunction Radar for Search and Tracking The Sequence Monte Carlo Multi-Bernoulli Filter for Extended Targets Environment Perception Using Grid Occupancy Estimation with Belief Functions Paper 5 Cyclic Bayesian Bounds for Filtering in Periodic State Space Variational Inference for Graphical Models of Multivariate Piecewise-Stationary Time Series A Unified Approach for Domain-Specific Tweet Sentiment Analysis The Exact Algorithm for Multi-sensor Asynchronous Track-to-Track Fusion Scalable Uncertainty Treatment Using Triple Stores and the OWL 2 RL Profile Learned Ultra-Wideband RADAR Sensor Model for Augmented LIDAR-based Traversability Mapping in Vegetated Environments A Generalised Labelled Multi-Bernoulli Filter for Extended Multi-target Tracking Dynamic-Occlusion Likelihood Incorporation in a PHD Filter Based Range-Only Tracking System 1200 – 1300 Lunch 1300 – 1500 Session 5 – 10 concurrent sessions – 5 Papers per session Chair Uwe Hanebeck Satish Iyengar Jesus Garcia Felix Govaers Kathryn Laskey Kyle DeMars Wolfgang Koch Session Name Special Session: Directional Estimation Data mining and machine learning in data fusion (CAT) Special Session: Context-based Information Fusion Distributed/decentralized fusion Situation representation and estimation Special Session: Space Object Detection, Tracking, Identification, and Classification Special Session: Extended Object and Group Tracking Image fusion and video tracking Paper 1 Performance of Maximum Likelihood Estimation for Multipath TDOA Passive Ranging Generic Object Recognition Based on the Fusion of 2D and 3D SIFT Descriptors A Proposal for Improving Spoken Dialog Systems Using Context Information Fusion Distributed Particle Filtering Via Optimal Fusion of Gaussian Mixtures Unified Traffic Situation Estimation Model with Application in Longitudinal Vehicle State and Route Prediction Relative Multiple Space Object Tracking Using Intensity Filters An Extended Target Tracking Model with Multiple Random Matrices and Unified Kinematics Adaptive Relevance Feedback for Fusion of Text and Visual Features Paper 2 Bayesian Filtering for Orientational Distributions: A Fourier Approach A Novel Approach for Trajectory Feature Representation and Anomalous Trajectory Detection Context Driven Tracking Using Particle Filters Cooperative Terrain Based Navigation and Coverage Identification Using Consensus A Predictive Situation Awareness System Using Multi-Entity Bayesian Networks Gaussian Mixture Multiple-Model Multi-Bernoulli Filters for Nonlinear Models Via Unscented Transform Techniques Maritime Group Motion Analysis: Representation, Learning, Recognition, and Deviation Detection Tracking of Dolphins in a Basin Using a Constrained Motion Model Paper 3 Track Before Detect DOA Tracking of Extended Targets with Marked Poisson Point Processes Anomaly Detection in Maritime Data Based on Geometrical Analysis of Trajectories Context-Based Ground Target Tracking – An Integrated Approach On Threshold Optimization for Aircraft Conflict Detection Air Traffic Monitoring Using Datastream Analysis Techniques Joint Estimation of Target State and Ionosphere State for OTHR Based Tracking Partial Likelihood for Unbiased Extended Object Tracking Combining Passive Visual Cameras and Active IMU Sensors to Track Cooperative People Paper 4 Direction of Arrival Estimation in Sensor Arrays Using Local Series Expansion of the Received Signal Evidential Multinomial Logistic Regression for Multiclass Classifier Calibration Adaptive Sensor Fusion Architecture Through Ontology Modeling and Automatic Reasoning A Hybrid Prediction Method and Its Application in the Distributed Low-cost INS/GPS Integrated Navigation System Framework for Situation Assessment and Threat Evaluation with Application to an Air Defense Scenario Challenges of Multi-Target Tracking for Space Situational Awareness Exploiting Clutter: Negative Information for Enhanced Extended Object Tracking Improved Multi-Focus Image Fusion Paper 5 Direct Single Sensor TDOA Localization Using Signal Structure Information Ship Movement Anomaly Detection Using Specialized Distance Measures Data-driven Detection and Context-based Classification of Maritime Anomalies On Track-to-Track Data Association for Automotive Sensor Fusion Vessel Trajectory Partitioning Based on Hierarchical Fusion of Position Data Information Weighted Consensus-based Cooperative Space Object Tracking to Overcome Malfunctioned Sensors and Noisy Links GPU-Accelerated Progressive Gaussian Filtering with Applications to Extended Object Tracking Labeled Multi-Bernoulli Track-Before-Detect for Multi-Target Tracking in Video 1530 – 1710 Session 6 – 10 concurrent sessions – 4 Papers per session Chair Ba-Ngu Vo Michael Lexa Lauro Snidaro Johan Wahlström Nageswara Rao Brandon Jones Todd Martin Kellyn Rien Session Name Special Session: Averaging Measures: Wasserstein Barycenters, MMOSPA Special Session: Change, Anomaly, and Trend (CAT) Detection in Challenging Environments Special Session: Context-based Information Fusion Applications of data fusion (Automotive) Situation and threat assessment Special Session: Space Object Detection, Tracking, Identification, and Classification Uncertainty management and reasoning: Estimation Paper 1 Average Kullback-Leibler Divergence for Random Finite Sets Change Detection with an Unknown Sensor Subset: More Information is Not Always Better A Framework for Dynamic Context Exploitation Probabilistic GNSS Signal Tracking for Safety Relevant Automotive Applications Distributed Belief Propagation for Situation Assessment in Net-Centric Environment On Mutual Information for Observation-to-Observation Association Development and Analysis of a Probabilistic Reasoning Methodology for Spectrum Situational Awareness and Parameter Estimation in Uncertain Environments NATO STO Task Group IST-132 Paper 2 Association-Free Direct Filtering of Multi-Target Random Finite Sets with Set Distance Measures Dynamic Data-driven Symbolic Causal Modeling for Battery Performance & Health Monitoring Situation/Threat Context Assessment Data-driven Simulation and Parametrization of Traffic Scenarios for the Development of Advanced Driver Assistance Systems On Resilience of Cyber-Physical Infrastructures Using Discrete Product-Form Games Automated State and Dynamics Estimation in Dynamically Mismodeled Systems with Information From Optimal Control Policies Nonlinear Bayesian Filtering Based on Fokker Planck Equation and Tensor Decomposition Paper 3 OSPA Barycenters for Clustering Set-Valued Data Detecting Trend in Randomly Switched Measurements Artifact “Metaphors”: Gaining Capability Using “Wrong” Tools Target Detection Using GPS Signals of Opportunity A Situation Assessment Framework for Cyber Security Information Relevance Reasoning A Randomized Sampling Based Approach to Multi-Object Tracking Adaptive Lower Bounds for Gaussian Measures of Polytopes Paper 4 MMOSPA-based Direction-of-Arrival Tracking with a Passive Sonar Array – An Experimental Study Identifying Anomalous Objects in SAS Imagery Using Uncertainty IMU Alignment for Smartphone-based Automotive Navigation A Graph-Based Evidence Theory for Assessing Risk Reasoning on Resident Space Object Hierarchies Using Probabilistic Programming Large-Scale, Discrete IP Geolocation Via Multi-Factor Evidence Fusion Using Factor Graphs 1710 Event Event Fusion15 Tech Plan Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7 Room 8 Room 9 Thursday, July 9, 2015 0830 – 0930 Plenary Talk 3 – Independence Ballroom – Edward T. Cope        0930 – 1000 Coffee Break 1000 – 1200 Session 4 8 – 10 concurrent sessions – 5 papers per session Chair Simon Julier David F Crouse Yi Chen Fred Daum Christopher Kreucher Pedro A. Forero Steven Schoenecker Session Name Registration Estimation and filtering; Object tracking Signal processing and computer vision Special Session: Homotopy Methods for Progressive Bayesian Estimation Particle filters and Monte Carlo methods Applications of data fusion (Nav) Target Classification; Target detection and localization; Object tracking Paper 1 Navigation with SAR and 3D-Map Aiding Filter Initialization and Batch Estimation for Tracking with Angular-Only Measurements DOA Estimation Based on the Microphone Array for the Time-varying Number of Sound Signals Renormalization Group Flow in K-Space for Nonlinear Filters, Bayesian Decisions and Transport A Laplace-based Particle Filter for Track-Before-Detect Detecting Malicious ADS-B Transmitters Using a Low-Bandwidth Sensor Network Can This Target Be Tracked? Paper 2 Bernoulli Filtering From a Single Platform Cubature/ Unscented/ Sigma Point Kalman Filtering with Angular Measurement Models Camera Geolocation From Mountain Images Gaussian-Mixture Based Ensemble Kalman Filter Non-Line-of-Sight Mitigation for Reliable Urban GNSS Vehicle Localization Using a Particle Filter Passive Tracking of Underwater Acoustic Sources with Sparse Innovations Joint Multi-Target Detection and Tracking Using Conditional Joint Decision and Estimation with OSPA-alike Cost Paper 3 Recursive Joint Track-to-Track Association and Sensor Nonlinear Bias Estimation Based on Generalized Bayes Risk A Computationally Efficient Dynamic Programming Based Track-Before-Detect Distributed Classification Under Statistical Dependence with Application to Automatic Modulation Classification Feedback Particle Filter: Application and Evaluation Comparison of Filtering Algorithms for Ground Target Tracking Using Space-based GMTI Radar An Efficient Algorithm for Aircraft Conflict Detection and Resolution Using List Viterbi Algorithm Joint Tracking and Classification Based on Kinematic and Target Extent Measurements Paper 4 Gauge-invariant Registration in Networks The Kalman Laplace Filter: A New Deterministic Algorithm for Nonlinear Bayesian Filtering Fusion of Trackers on Thermal Image Sequences Multi-Sensor Fusion Using Homotopy Particle Filter Saddle Point Method for JPDA and Related Filters A Mobile Acoustic Sensor Fusion Network Using Biologically Inspired Sensors and Synchronization Individuals Motion Models Based on Probabilistic Distribution Profiles Paper 5 RoughCough – A New Image Registration Method for Radar Based Vehicle Self-Localization The Multiple Model Labeled Multi-Bernoulli Filter Multiple-Model Hypothesis Testing Using Adaptive Representative Model Comparison of Angle-only Filtering Algorithms in 3D Using EKF, UKF, PF, PFF, and Ensemble KF Incorporating Estimated Feature Descriptor Information Into Rao Blackwellized-PHD-SLAM Indoor Localization with a Signal Tree Joint Tracking and Classification Based on Conditional Joint Decision and Estimation 1200 – 1300 Lunch 1300 – 1500 Session 5 8 – 10 concurrent sessions – 5 Papers per session Chair Yaakov Bar-Shalom Ondrej Straka KC Chang Frederica Darema Dave Hall Sean Martin Wolfgang Koch Session Name Data association; Estimation Estimation and filtering Special Session: Applications of Data Fusion and Predictive Analytics to Finance, Business, and Marketing Special Session: Dynamic Data Driven Application Systems for Sensor Data Problems Special Session: Multi-Level Fusion: bridging the gap between high and low level fusion Target Classification Paper 1 Spatial Clutter Measurement Density Estimation in Nonhomogeneous Measurement Spaces Bearings-Only Tracking with Fusion From Heterogenous Passive Sensors: ESM/EO and Acoustic Business Data Fusion A Learning Drift Homotopy Particle Filter Modeling the User’s Intention by Means of the Fusion of Several User Models Fuzzy Extreme Learning Machine and Its Applications NATO STO Task Group IST-132 Paper 2 Scalable Multitarget Tracking Using Multiple Sensors: A Belief Propagation Approach Estimation of State and Measurement Noise Characteristics Online Playtime Prediction for Cognitive Video Streaming Multiway Histogram Intersection for Multi-target Tracking Building a “living Database” for Human-Machine Intelligence Analysis Classification of Incomplete Pattern Based on Fusion of Belief Functions Paper 3 Adaptive Kernel Background Intensity Estimation Based on Local 2D Orientation Design of Discrete Second Order Filters for Continuous-Discrete Models Combinatorial Prediction Markets for Fusing Information From Distributed Experts and Models Nonlinear Target Tracking for Threat Detection Using RSSI and Optical Fusion Levels? Risk-Based Sensor Resource Management for Field of View Constrained Sensors Paper 4 A Survey on Joint Tracking Using EM Based Techniques Adaptive Upper-Bound Linear Mean Square Error Filter of Markovian Jump Linear Systems with Generalized Unknown Disturbances A Method to Sparse Eigen Subspace and Eigenportfolios Manifold and Transfer Subspace Learning for Cross- Domain Vehicle Recognition in Dynamic Systems Video-to-Text Information Fusion Evaluation for Level 5 User Refinement Benefits of Using Explicit Ground-Plane Information for Grid-based Urban Environment Modeling Paper 5 PHD Filter with Approximate Multiobject Density Measurement Update Multiple-Model Estimation with Heterogeneous State Representation An Application of Interacting Multiple Model Tracking Method to Financial Modeling and Asset Allocation Pseudo-Real-Time Wide Area Motion Imagery (WAMI) Processing for Dynamic Feature Detection Markov Logic Networks for Multi-Level Fusion Support to Intelligence Analysis 1530 – 1710 Session 6 8 – 10 concurrent sessions – 4 Papers per session Chair Stefano Coraluppi Benjamin Noack Zhi Tian Vasileios Maroulas Naser Damer James Llinas Florian Faion Session Name Data association; Object tracking Estimation and filtering Special Session: Applications of Data Fusion and Predictive Analytics to Finance, Business, and Marketing Special Session: Dynamic Data Driven Application Systems for Sensor Data Problems: Belief Special Session: Information Fusion in Multi-Biometric Systems Special Session: Multi-Level Fusion: bridging the gap between high and low level fusion Special Session: Probabilistic RGBD Data Fusion Paper 1 MCMC and MHT Approaches to Multi-INT Surveillance Determination, Separation, and Tracking of an Unknown Time Varying Number of Maneuvering Sources by Bayes Joint Decision-Estimation An Application of Data Fusion Techniques in Quantitative Operational Risk Management Information Fusion with Belief Functions: a Comparison of Proportional Conflict Redistribution PCR5 and PCR6 Rules for Networked Sensors Face Image Resolution Enhancement Based on Weighted Fusion of Wavelet Decomposition Application of Multi-level Fusion for Pattern of Life Analysis Anisotropic Point-Based Fusion Paper 2 Distributed MHT with Active and Passive Sensors Extended Kalman Filter Modifications Based on an Optimization View Point Market Analysis and Trading Strategies with Bayesian Networks Information Fusion with Topological Event Spaces Fusion of Face and Periocular Information for Improved Authentication on Smartphones Ambiguity Reduction of Underwater Targets in Framework of Topic Modeling RGBD Data Based Pose Estimation: Why Sensor Fusion? Paper 3 A Maximum Weight Constrained Path Cover Algorithm for Graph-Based Multitarget Tracking Treatment of Biased and Dependent Sensor Data in Graph-based SLAM Two Novel Methods for BBA Approximation Based on Focal Element Redundancy Paper 4 Detecting Changes of Transportation-Mode by Using Classification Data An Effective Modeling Framework for Equality-Constrained Dynamic Systems Modified PCR Rules of Combination with Degrees of Intersections 1710 Event Event