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ORCIDFUSION 2009: Seattle, Washington, USA
- 12th International Conference on Information Fusion, FUSION '09, Seattle, Washington, USA, July 6-9, 2009. IEEE 2009, ISBN 978-0-9824438-0-4
Particle Filters and Monte Carlo Methods I
- Mark R. Morelande, Neil J. Gordon:
Rao-Blackwellised variable rate particle filters. 1-8 - Mats Ekman:
Particle filtering and data association using attribute data. 9-16 - Per Skoglar, Umut Orguner, David Törnqvist, Fredrik Gustafsson:
Road target tracking with an approximative Rao-Blackwellized Particle Filter. 17-24 - Daniel Danu, Thia Kirubarajan, Thomas Lang:
Wasserstein distance for the fusion of multisensor multitarget particle filter clouds. 25-32 - Yvo Boers, Hans Driessen, Arunabha Bagchi:
Point estimation for jump Markov systems: Various MAP estimators. 33-40
Target Tracking I
- Vincent van Leijen, Léon J. M. Rothkrantz, Frans C. A. Groen:
Acoustic inversion with self noise of an autonomous underwater vehicle to measure sound speed in marine sediments. 41-47 - Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki:
Monaural sound-source-direction estimation using the acoustic transfer function of an active microphone. 48-53 - Thyagaraju Damarla, David J. Thornley, Duncan Gillies, Ed Gentle:
Toward efficient quality of information estimation in simultaneous acoustic tracking and classification of multiple targets. 54-61 - Mohammad El-Jaber, Abdalla Osman, Garfield R. Mellema, Aboelmagd Noureldin:
Target tracking in multi-static active sonar systems using dynamic programming and Hough transform. 62-69 - Vishal Cholapadi Ravindra, Yaakov Bar-Shalom, Thyagaraju Damarla:
Feature-aided localization of ground vehicles using passive acoustic sensor arrays. 70-77
Sensor Management
- Michael K. Schneider:
Computing maximal track clusters for sensor resource management. 78-84 - Chun Yang, Erik Blasch, Ivan Kadar:
Geometric factors in target positioning and tracking. 85-92 - Corrado Grappiolo, Shimon Whiteson, Gregor Pavlin, Bram Bakker:
Integrating distributed Bayesian inference and reinforcement learning for sensor management. 93-101 - Marco F. Huber, Achim Kuwertz, Felix Sawo, Uwe D. Hanebeck:
Distributed greedy sensor scheduling for model-based reconstruction of space-time continuous physical phenomena. 102-109 - Farhad Ghassemi, Vikram Krishnamurthy:
Upper bounds for the sensor subset selection problem. 110-117
Sensor Networks I
- Eelke van Foeken, Leon J. H. M. Kester, Miranda van Iersel:
Real-time common awareness in communication constrained sensor systems. 118-125 - Eric Richter, Marcus Obst, Robin Schubert, Gerd Wanielik:
Cooperative relative localization using Vehicle-To-Vehicle communications. 126-131 - Maen Takruri, Subhash Challa, Ramah Yunis:
Data fusion techniques for auto calibration in wireless sensor networks. 132-139 - Deniz Üstebay, Boris N. Oreshkin, Mark Coates, Michael G. Rabbat:
Multi-hop Greedy Gossip with Eavesdropping. 140-145 - Behrouz Touri, Angelia Nedic:
Distributed consensus over network with noisy links. 146-154
Situation Awareness I
- Ying Zhang, Rakesh Nagi, Moises Sudit:
Analytic Network Process for model elicitation in nation-building simulations. 155-162 - Kedar Sambhoos, James Llinas:
Evaluation methods for distributed multi-platform systems in electronic warfare and information-warfare related missions. 163-170 - Joeri van Laere, Maria Nilsson:
Evaluation of a workshop to capture knowledge from subject matter experts in maritime surveillance. 171-178 - Dafni Stampouli, Daniel Vincen, Gavin Powell:
Situation assessment for a centralised intelligence fusion framework for emergency services. 179-186 - Jemin George, John L. Crassidis, Tarunraj Singh:
Threat assessment using context-based tracking in a maritime environment. 187-194
Classification I
- Hicham Laanaya, Arnaud Martin:
Multi-view fusion based on belief functions for seabed recognition. 195-202 - Benjamin Pannetier, Jean Dezert:
GMTI and IMINT data fusion for multiple target tracking and classification. 203-210 - Robert S. Lynch Jr., Peter K. Willett:
Maximizing expected gain in supervised discrete Bayesian classification when fusing binary valued features. 211-216 - Guy Kouemou, Christoph Neumann, Felix Opitz:
Exploitation of track accuracy information in fusion technologies for radar target classification using Dempster-Shafer Rules. 217-223 - Luca Cazzanti, Maya R. Gupta, Santosh Srivastava:
Fusing similarities and Euclidean features with generative classifiers. 224-231
Ontology-Based Reasoning
- Baofeng Guo, Mark S. Nixon, Thyagaraju Damarla:
Acoustic vehicle classification by fusing with semantic annotation. 232-239 - Christopher J. Matheus, Brian Ulicny, Mieczyslaw M. Kokar, Gerald M. Powell:
Towards the formal representation of temporal aspects of Enemy/Threat Courses Of Action. 240-247 - Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho:
A multi-disciplinary approach to high level fusion in predictive situational awareness. 248-255 - Kedar Sambhoos, Melih Temel, Feng Pan, Moises Sudit:
Process refinement using Biosensor location problem. 256-263 - Jérôme Besombes, Vincent Nimier, Laurence Cholvy:
Information evaluation in fusion using information correlation. 264-269
Particle Filters and Monte Carlo Methods II
- Ondrej Straka, Miroslav Simandl, Jindrich Duník:
Gaussian mixtures proposal density in particle filter for track-before-detect. 270-277 - Saikat Saha, Yvo Boers, Hans Driessen, Pranab Kumar Mandal, Arunabha Bagchi:
Particle based MAP state estimation: A comparison. 278-283 - Donka S. Angelova, Lyudmila Mihaylova:
Contour extraction from ultrasound images viewed as a tracking problem. 284-291 - Mark R. Morelande:
Joint data association using importance sampling. 292-299
Target Tracking II
- Daniel Svensson, Johannes Wintenby, Lennart Svensson:
Performance evaluation of MHT and GM-CPHD in a ground target tracking scenario. 300-307 - Roy L. Streit:
PHD intensity filtering is one step of a MAP estimation algorithm for positron emission tomography. 308-315 - Rajib Chakravorty, Subhash Challa:
Multitarget tracking algorithm - Joint IPDA and Gaussian mixture PHD filter. 316-323 - Brian Cheung, Samuel J. Davey, Douglas A. Gray:
Combining PMHT with classifications to perform SLAM. 324-331 - David Frederic Crouse, Marco Guerriero, Peter Willett, Roy L. Streit, Darin Dunham:
A look at the PMHT. 332-339
UAV Planning
- Eckart Michaelsen, Klaus Jäger:
A GOOGLE-earth based test bed for structural image-based UAV navigation. 340-346 - Jean Berger, Jens Happe, Christian Gagné, Martin Lau:
Co-evolutionary information gathering for a cooperative unmanned aerial vehicle team. 347-354 - Sean R. Semper, John L. Crassidis:
Decentralized geolocation and optimal path planning using limited UAVs. 355-362 - Hongda Chen, Kuo-Chu Chang, Craig S. Agate:
Tracking with UAV using tangent-plus-Lyapunov vector field guidance. 363-372 - Xianghui Yuan, Chongzhao Han, Zhansheng Duan:
Performance analysis and correlation selection with Doppler measurements. 373-379
Sensor Networks II
- Qing Ling, Zhi Tian:
A decentralized Gauss-Seidel approach for in-network sparse signal recovery. 380-387 - Kevin Topley, Vikram Krishnamurthy, Gang George Yin:
Average-consensus with switched Markovian network links. 388-395 - Maria Andersson, Joakim Rydell, Jörgen Ahlberg:
Estimation of crowd behavior using sensor networks and sensor fusion. 396-403 - David Lindgren, Olof Wilsson, Fredrik Gustafsson, Hans Habberstad:
Shooter localization in wireless sensor networks. 404-411 - Adrien Ickowicz, Jean-Pierre Le Cadre:
Bi-target tracking within a binary sensor network. 412-419
Situation Awareness II
- Timo Lampinen, Tommi Laitinen, Janne Ropponen:
Joint threat assessment with asset profiling and entity Bayes net. 420-427 - Johan Schubert, Pontus Svenson, Christian Mårtenson:
System prediction combining state estimation with an evidential influence diagram. 428-435 - Farzad Fooladvandi, Christoffer Brax, Per M. Gustavsson, Mikael Fredin:
Signature-based activity detection based on Bayesian networks acquired from expert knowledge. 436-443 - Peter Krauthausen, Uwe D. Hanebeck:
Intention recognition for partial-order plans using Dynamic Bayesian Networks. 444-451 - Adam Stotz, Rakesh Nagi, Moises Sudit:
Incremental graph matching for Situation Awareness. 452-459
Classification II
- Sampath Deegalla, Henrik Boström:
Fusion of dimensionality reduction methods: A case study in microarray classification. 460-465 - Mark E. Oxley, Steven N. Thorsen, Christine M. Schubert:
The ROC manifold of fused independent classification systems. 466-473 - Yihua Chen, Maya R. Gupta:
Fusing similarities and kernels for classification. 474-481 - Andreas Starzacher, Bernhard Rinner:
Embedded realtime feature fusion based on ANN, SVM and NBC. 482-489 - Yi Yang, Chongzhao Han, Deqiang Han:
A novel feature line segment approach for pattern classification. 490-497
Belief Functions, Theory
- Alexandre Veremme, Daniel Dupont, Eric Lefèvre, David Mercier:
Belief assignment on compound hypotheses within the framework of the Transferable Belief Model. 498-505 - Ghalia Nassreddine, Fahed Abdallah, Thierry Denoeux:
A state estimation method for multiple model systems using belief function theory. 506-513 - Pierre-Emmanuel Doré, Arnaud Martin, Irène Abi-Zeid, Anne-Laure Jousselme, Patrick Maupin:
Theory of belief functions for information combination and update in search and rescue operations. 514-521 - Mihai Cristian Florea, Éloi Bossé:
Dempster-Shafer Theory: Combination of information using contextual knowledge. 522-528 - Arnaud Martin:
Reliability and combination rule in the theory of belief functions. 529-536
Distributed Fusion I
- Xin Tian, Yaakov Bar-Shalom:
Exact algorithms for four track-to-track fusion configurations: All you wanted to know but were afraid to ask. 537-544 - Alexei Makarenko, Alex Brooks, Tobias Kaupp, Hugh F. Durrant-Whyte, Frank Dellaert:
Decentralised data fusion: A graphical model approach. 545-554 - William J. Farrell, Chidambar Ganesh:
Generalized chernoff fusion approximation for practical distributed data fusion. 555-562 - Zhansheng Duan, X. Rong Li:
Optimal distributed estimation fusion with compressed data. 563-570 - Yimin Wang, X. Rong Li:
A fast and fault-tolerant convex combination fusion algorithm under unknown cross-correlation. 571-578
Target Tracking III
- Frederik Beutler, Marco F. Huber, Uwe D. Hanebeck:
Gaussian Filtering using state decomposition methods. 579-586 - Julian Hörst, Felix Sawo, Vesa Klumpp, Uwe D. Hanebeck, Dietrich Fränken:
Extension of the Sliced Gaussian Mixture Filter with application to cooperative passive target tracking. 587-594 - Ángel F. García-Fernández, Jesús Grajal:
Multitarget tracking using the Joint Multitrack Probability Density. 595-602 - Paul R. Horridge, Simon Maskell:
A scalable method of tracking targets with dependent distributions. 603-610 - Paul R. Horridge, Simon Maskell:
Searching for, initiating and tracking multiple targets using existence probabilities. 611-617
Detection and Tracking
- Samuel J. Davey, Brian Cheung, Mark G. Rutten:
Track-Before-Detect for sensors with complex measurements. 618-625 - Samuel Gidel, Christophe Blanc, Thierry Chateau, Paul Checchin, Laurent Trassoudaine:
Non-parametric laser and video data fusion: Application to pedestrian detection in urban environment. 626-632 - Nageswara S. V. Rao, Charles W. Glover, Mallikarjun Shankar, Jren-Chit Chin, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Sartaj Sahni:
Improved SPRT detection using localization with application to radiation sources. 633-640 - Kevin G. Jamieson, Maya R. Gupta, David W. Krout:
Sequential Bayesian estimation of the probability of detection for tracking. 641-648 - Lena Chang, Ching-Min Cheng:
Adaptive target tracking for wideband sources in near field. 649-655
Sensor Networks III
- Amadou Gning, Lyudmila Mihaylova:
Dynamic clustering and belief propagation for distributed inference in random sensor networks with deficient links. 656-663 - Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor:
Cooperative training for attribute-distributed data: Trade-off between data transmission and performance. 664-671 - Omid Namvar Gharehshiran, Vikram Krishnamurthy:
Dynamic coalition formation for efficient sleep time allocation in wireless sensor networks using cooperative game theory. 672-677 - Robert B. Lobbia, Alec D. Gallimore:
Fusing spatially and temporally separated single-point turbulent plasma flow measurements into two-dimensional time-resolved visualizations. 678-685 - Siyue Chen, Henry Leung, Éloi Bossé:
A maximum likelihood approach to joint registration, association and fusion for multi-sensor multi-target tracking. 686-693
Situation Awareness III
- Christoffer Brax, Lars Niklasson, Rikard Laxhammar:
An ensemble approach for increased anomaly detection performance in video surveillance data. 694-701 - Gabriel Terejanu, Puneet Singla, Tarunraj Singh, Peter D. Scott:
Decision based uncertainty propagation using adaptive Gaussian mixtures. 702-709 - Umamaheswara Konda, Tarunraj Singh, Puneet Singla, Peter D. Scott:
Uncertainty propagation in puff-based dispersion models using polynomial chaos. 710-716 - Giuseppe Paolo Settembre, Daniele Nardi, Roberta Pigliacampo, Alessandro Farinelli, Mirco Rossi:
Solving disagreements in a multi-agent system performing Situation Assessment. 717-724 - Alan N. Steinberg:
Context-sensitive data fusion using structural equation modeling. 725-731
Anomaly Detection
- Anwer Bashi, Vesselin P. Jilkov, X. Rong Li:
Fault detection for systems with multiple unknown modes and similar units - Part I. 732-739 - Anwer Bashi, Vesselin P. Jilkov, X. Rong Li:
Fault detection for systems with multiple unknown modes and similar units - Part II: Application to HVAC. 740-747 - Saiedeh Navabzadeh Razavi, Carl T. Haas, Philippe Vanheeghe, Emmanuel Duflos:
Real world implementation of belief function theory to detect dislocation of materials in construction. 748-755 - Rikard Laxhammar, Göran Falkman, Egils Sviestins:
Anomaly detection in sea traffic - A comparison of the Gaussian Mixture Model and the Kernel Density Estimator. 756-763 - Jonathan Edward Barker, Richard John Green, Paul Thomas, Gavin Brown, David Salmond:
Information Fusion based decision support via Hidden Markov Models and time series anomaly detection. 764-771
Distributed Fusion II
- Simon J. Julier:
Estimating and exploiting the degree of independent information in distributed data fusion. 772-779 - Paolo Braca, Marco Guerriero, Stefano Maranò, Vincenzo Matta, Peter Willett:
Distributed estimation with data association: Is the nearest neighbor the most informative? 780-785 - Andrew E. Gelfand, Christopher Smith, Mike Colony, Christopher Bowman:
Performance evaluation of decentralized estimation systems with uncertain communication. 786-793 - Robin Glinton, Paul Scerri, Katia P. Sycara:
Towards the understanding of information dynamics in large scale networked systems. 794-801 - Umut Orguner, Fredrik Gustafsson:
Distributed target tracking with propagation delayed measurements. 802-809
Target Tracking IV
- Robin Schubert, Gerd Wanielik:
Unifying Bayesian networks and IMM filtering for improved multiple model estimation. 810-817 - Edson Hiroshi Aoki, Karl Heinz Kienitz:
Suboptimal JPDA for tracking in the presence of clutter and missed detections. 818-825 - Zhexu Chen, Lei Chen, Müjdat Çetin, Alan S. Willsky:
An efficient message passing algorithm for multi-target tracking. 826-833 - Jill K. Nelson, Hossein Roufarshbaf:
A tree search approach to target tracking in clutter. 834-841 - Weifeng Liu, Chongzhao Han, Feng Lian:
An alternative derivation of a Bayes tracking filter based on finite mixture models. 842-849
Fusion Evaluation Over Dynamic Data and Intelligent Targets I
- Chun Yang, Ivan Kadar, Erik Blasch:
Performance-driven resource management in layered sensing. 850-857 - Bart Kahler, Erik Blasch:
Impact of HRR radar processing on moving target identification performance. 858-865 - Joeri van Laere:
Challenges for IF performance evaluation in practice. 866-873 - Huimin Chen, Genshe Chen, Erik Philip Blasch, Philip Douville, Khanh D. Pham:
Information theoretic measures for performance evaluation and comparison. 874-881 - Alexander Kott, Wes Milks:
Approaches to validation of information fusion systems. 882-889
Finite Set Statistics (FISST): Theory and Applications I
- Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Bayesian multi-object estimation from image observations. 890-898 - Daniel E. Clark, Ba-Tuong Vo, Ba-Ngu Vo:
Forward-backward sequential Monte Carlo smoothing for joint target detection and tracking. 899-906 - Evangeline Pollard, Benjamin Pannetier, Michèle Rombaut:
Convoy detection processing by using the hybrid algorithm (GMCPHD/VS-IMMC-MHT) and Dynamic Bayesian Networks. 907-914 - Ronald P. S. Mahler:
PHD filters for nonstandard targets, I: Extended targets. 915-921 - Ronald P. S. Mahler:
PHD filters for nonstandard targets, II: Unresolved targets. 922-929
Data Fusion on Networks
- James P. Ferry:
Group tracking on dynamic networks. 930-937 - Ralph L. Wojtowicz:
Non-classical Markov logic and network analysis. 938-947 - Gregory A. Godfrey, Tom Mifflin:
Likelihood-based optimization of threat operation timeline estimation. 948-953 - Tom Mifflin:
Detection theory on random graphs. 954-959 - Jonathan R. Schoenberg, Mark E. Campbell:
Distributed terrain estimation using a mixture-model based algorithm. 960-967
Hybrid Techniques for Adaptation of Data Fusion Systems
- Aitor Mata, Belén Pérez Lancho, Emilio Corchado, Javier Bajo:
Organization based system for oceanographic monitoring. 968-975 - Alan N. Steinberg:
Agent/Source Characterization for exploitation of human-generated intelligence. 976-983 - Denis Garagic, Majid Zandipour, Frank Stolle, Matthew Antone, Bradley J. Rhodes:
Hybrid neuro-bayesian spatial contextual reasoning for scene content understanding. 984-989 - Fernando de la Prieta, Belén Pérez Lancho, Juan Francisco de Paz, Javier Bajo, Juan M. Corchado:
Ovamah: Multiagent-based adaptive virtual organizations. 990-997 - Per Hilletofth, Sandor Ujvari, Ronnie Johansson:
Agent-based simulation fusion for improved decision making for service operations. 998-1005