Context-based Information Fusion: A survey and discussion

Information Fusion

Volumn 25, Issue , 2015, Pages 16-31

  Snidaro, Lauro ^a   García, Jesús ^b   Llinas, James ^c  

^a UNIVERSITY OF UDINE   (Italy)

^b UNIVERSIDAD CARLOS III DE MADRID   (Spain)

^c UNIVERSITY AT BUFFALO   (United States)

Author keywords

Architectural aspects; Context; Information Fusion; State of the art; Survey

Indexed keywords

INFORMATION FUSION; SURVEYING;

ARCHITECTURAL ASPECTS; CONTEXT; CONTEXT-BASED INFORMATION; PHYSICAL CONSTRAINTS; POSSIBLE FUTURES; STATE OF THE ART; SYSTEM OUTPUT;

SURVEYS;

EID: 84925463145     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2015.01.002     Document Type: Article

References (143)

1. T. Strang, C. Linnhoff-Popien, A context modeling survey, in: First International Workshop on Advanced Context Modelling, Reasoning and Management at UbiComp 2004, Nottingham, UK, 2004, pp. 34-41.
2. K. Devlin, Confronting context effects in intelligence analysis: fow can mathematics help?, in: Center for the Study of Language and Information, Stanford University, 2005, unpublished.
3. M. Kandefer, and S.C. Shapiro Evaluating spreading activation for soft information fusion Proceedings of the 14th International Conference on Information Fusion 2011 IEEE
4. A. Dey, G. Abowd, Towards a better understanding of context and context-awareness, in: Proceedings of the Workshop on the What, Who, Where, When and How of Context-Awareness, The Hague, The Netherlands, 2000.
5. R.J. Heuer Psychology of Intelligence Analysis 1999 Center for the Study of Intelligence, Central Intelligence Agency Lulu.com, Washington, DC
6. P. Brézillon Context in problem solving: a survey Knowl. Eng. Rev. 14 01 1999 47 80
7. P. Brézillon Context in artificial intelligence: I. A survey of the literature Comput. Artif. Intell. 18 1999 321 340
8. A. Dix, T. Rodden, N. Davies, J. Trevor, A. Friday, and K. Palfreyman Exploiting space and location as a design framework for interactive mobile systems ACM Trans. Comput.-Hum. Interact. (TOCHI) 7 3 2000 285 321
9. A. Schmidt, M. Beigl, and H.-W. Gellersen There is more to context than location Comput. Graph. 23 6 1999 893 901
10. J. Coutaz, J.L. Crowley, S. Dobson, and D. Garlan Context is key Commun. ACM 48 3 2005 49 53
11. M. Baldauf, S. Dustdar, and F. Rosenberg A survey on context-aware systems Int. J. Ad Hoc Ubiquitous Comput. 2 4 2007 263 277
12. J. Hong, E. Suh, and S. Kim Context-aware systems: a literature review and classification Expert Syst. Appl. 36 4 2009 8509 8522
13. C. Bettini, O. Brdiczka, K. Henricksen, J. Indulska, D. Nicklas, A. Ranganathan, and D. Riboni A survey of context modelling and reasoning techniques Pervasive Mobile Comput. 6 2 2010 161 180
14. C. Rui, H. Yi-Bin, H. Zhang-Qin, and H. Jian Modeling the ambient intelligence application system: concept, software, data, and network IEEE Trans. Syst. Man Cybern., Part C: Appl. Rev. 39 3 2009 299 314
15. F. Sadri Ambient intelligence: a survey ACM Comput. Surv. (CSUR) 43 4 2011 36
16. H. Nakashima, H. Aghajan, and J.C. Augusto Handbook of Ambient Intelligence and Smart Environments 2009 Springer
17. D.J. Cook Multi-agent smart environments J. Ambient Intell. Smart Environ. 1 1 2009 51 55
18. A. Muñoz, J.C. Augusto, A. Villa, and J.A. Botía Design and evaluation of an ambient assisted living system based on an argumentative multi-agent system Pers. Ubiquit. Comput. 15 4 2011 377 387
19. J.M. Fernández-de Alba, R. Fuentes-Fernández, and J. Pavón Architecture for management and fusion of context information Inform. Fusion 21 2015 100 113
20. B. Schiemann, U. Schreiber, OWL DL as a FIPA ACL content language, in: Proceedings of the Workshop on Formal Ontology for Communicating Agents (FOCA), 18th European Summer School of Language, Logic and Information, 2006, pp. 73-80.
21. J. Gómez-Romero, M.Á. Patricio, J. García, and J.M. Molina Communication in distributed tracking systems: an ontology-based approach to improve cooperation Expert Syst. 28 4 2011 288 305
22. J.M. Fernández-de Alba, R. Fuentes-Fernández, and J. Pavón Architecture for management and fusion of context information Inform. Fusion 21 2015 100 113 http://dx.doi.org/10.1016/j.inffus.2013.10.007)
23. S.E. Palmer The effects of contextual scenes on the identification of objects Memory Cogn. 3 1975 519 526
24. A. Torralba Contextual priming for object detection Int. J. Comput. Vision 53 2 2003 169 191
25. G.T. Toussaint The use of context in pattern recognition Pattern Recogn. 10 3 1978 189 204
26. A. Torralba, K.P. Murphy, W.T. Freeman, Contextual models for object detection using boosted random fields, in: Advances in Neural Information Processing Systems, Vancouver, BC, 2004, pp. 1401-1408.
27. S. Avidan Spatialboost: adding spatial reasoning to adaboost Computer Vision-ECCV 2006 2006 Springer Graz, Austria 386 396
28. W. Jiang, S.-F. Chang, and A.C. Loui Context-based concept fusion with boosted conditional random fields Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing vol. 1 2007 IEEE I-949
29. G. Heitz, and D. Koller Learning spatial context: using stuff to find things Proceedings of the European Conference on Computer Vision 2008 Springer Marseille, France 30 43
30. D. Hoiem, A.A. Efros, and M. Hebert Putting objects in perspective Int. J. Comput. Vision 80 1 2008 3 15
31. A. Oliva, and A. Torralba The role of context in object recognition Trends Cogn. Sci. 11 12 2007 520 527
32. Z. Tu Auto-context and its application to high-level vision tasks CVPR 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008 2008 IEEE 1 8
33. S.K. Divvala, D. Hoiem, J.H. Hays, A.A. Efros, and M. Hebert An empirical study of context in object detection CVPR 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009 2009 IEEE 1271 1278
34. C. Galleguillos, and S. Belongie Context based object categorization: a critical survey Comput. Vis. Image Underst. 114 6 2010 712 722
35. Y. Ding, and J. Xiao Contextual boost for pedestrian detection 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012 IEEE 2895 2902
36. Y.J. Lee, and K. Grauman Object-graphs for context-aware visual category discovery IEEE Trans. Pattern Anal. Mach. Intell. 34 2 2012 346 358
37. D. Parikh, C.L. Zitnick, and T. Chen Exploring tiny images: the roles of appearance and contextual information for machine and human object recognition IEEE Trans. Pattern Anal. Mach. Intell. 34 10 2012 1978 1991
38. W.-S. Zheng, S. Gong, and T. Xiang Quantifying and transferring contextual information in object detection IEEE Trans. Pattern Anal. Mach. Intell. 34 4 2012 762 777
39. J.M. Gascueña, and A. Fernández-Caballero On the use of agent technology in intelligent, multisensory and distributed surveillance Knowl. Eng. Rev. 26 02 2011 191 208
40. F. Castanedo, J. García, M.A. Patricio, and J.M. Molina Data fusion to improve trajectory tracking in a cooperative surveillance multi-agent architecture Inform. Fusion 11 3 2010 243 255
41. J. McCarthy Notes on formalizing context Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI93) 1993 IEEE Chambery, France 555 560
42. J.F. Sowa Syntax, semantics, and pragmatics of contexts Conceptual Structures: Applications, Implementation and Theory 1995 Springer 1 15
43. F. Giunchiglia Contextual reasoning Epistemologia 16 1993 345 364 (special issue on I Linguaggi e le Macchine)
44. L. Serafini, and P. Bouquet Comparing formal theories of context in AI Artif. Intell. 155 1 2004 41 67
45. R. Guha, R. McCool, and R. Fikes Contexts for the semantic web The Semantic Web-ISWC 2004 2004 Springer 32 46
46. P. Bouquet, F. Giunchiglia, F. van Harmelen, L. Serafini, and H. Stuckenschmidt Contextualizing ontologies Web Semantics: Sci. Serv. Agents World Wide Web 1 4 2004 325 343
47. J. Bao, J. Tao, D.L. McGuinness, P. Smart, Context representation for the semantic web, in: Proceedings of the Web Science Conference (WebSci10), Raleigh, USA, 2010.
48. A.N. Steinberg, C. Bowman, Revisions to the JDL data fusion process model, in: Proceedings of the 1999 National Symposium on Sensor Data Fusion, 1999.
49. J. Llinas, C.L. Bowman, G.L. Rogova, A.N. Steinberg, E.L. Waltz, F.E. White, Revisiting the JDL data fusion model II, in: Proceedings of the Seventh International Conference on Information Fusion, vol. II, Stockholm, Sweden, 2004, pp. 1218-1230.
50. L. Snidaro, J. Garcia, and J.M. Corchado Context-based information fusion Inform. Fusion 21 2015 82 84 http://dx.doi.org/10.1016/j.inffus.2014.02.001
51. E. Blasch, J. Garcia Herrero, L. Snidaro, J. Llinas, G. Seetharaman, K. Palaniappan, Overview of contextual tracking approaches in information fusion, 2013, pp. 87470B-87470B-11 (http://dx.doi.org/10.1117/12.2016312).
52. T.K. Bhattacharya, P. Scarlett, and C. Gautier Artificial intelligence techniques for enhanced tracking performance vts radars Proceedings of the National Radar Conference 1996 IEEE 106 111
53. I. Visentini, and L. Snidaro Integration of contextual information for tracking refinement Proceedings of the 14th International Conference on Information Fusion 2011 IEEE
54. K. Benameur, B. Pannetier, and V. Nimier A comparative study on the use of road network information in GMTI tracking Proceedings of the 8th International Conference on Information Fusion vol. 1 2005 IEEE Philadelphia, USA 8
55. L. Snidaro, R. Niu, G. Foresti, and P. Varshney Quality-based fusion of multiple video sensors for video surveillance IEEE Transactions on Systems, Man, and Cybernetics - Part B 37 4 2007 1044 1051
56. A. Bastiere, V. Chalmeton, V. Nimier, Contextual information and multisensor data fusion for battlefield applications, in: RTO SCI Symposium on Sensor Data Fusion and Integration of the Human Element, Ottawa, Canada, 1998.
57. V. Nimier, A. Bastiere, N. Colin, M. Moruzzis, MILORD, an application of multifeature fusion for radar NCTR, in: Proceedings of the 3rd International Conference on Information Fusion, Paris, France, 2000.
58. J. Wang, and Y. Gao The aiding of MEMS INS/GPS integration using artificial intelligence for land vehicle navigation IAENG Int. J. Comput. Sci. 33 1 2007 61 67
59. F. Caron, E. Duflos, D. Pomorski, and P. Vanheeghe GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects Inform. Fusion 7 2 2006 221 230
60. R. Raskar, A. Ilie, J. Yu, Image fusion for context enhancement and video surrealism, in: Proceedings of the 3rd International Symposium on Non-Photorealistic Animation and Rendering, Annecy, France, 2004, pp. 85-93.
61. Y. Cai, K. Huang, T. Tan, and Y. Wang Context enhancement of nighttime surveillance by image fusion ICPR 2006 18th International Conference on Pattern Recognition vol. 1 2006 IEEE 980 983
62. T. Wan, G. Tzagkarakis, P. Tsakalides, N. Canagarajah, and A. Achim Context enhancement through image fusion: a multiresolution approach based on convolution of cauchy distributions ICASSP 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008 2008 IEEE 1309 1312
63. Z. Liu, E. Blasch, Z. Xue, J. Zhao, R. Laganiere, and W. Wu Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: a comparative study IEEE Trans. Pattern Anal. Mach. Intell. 34 1 2012 94 109
64. M. Vespe, M. Sciotti, F. Burro, G. Battistello, and S. Sorge Maritime multi-sensor data association based on geographic and navigational knowledge Proceedings of the Radar Conference 2008 IEEE 1 6
65. S.S. Intille, J.W. Davis, and A.F. Bobick Real-time closed-world tracking Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 1997 IEEE 697 703
66. M. Kristan, J. Perš, M. Perše, and S. Kovačič Closed-world tracking of multiple interacting targets for indoor-sports applications Comput. Vis. Image Underst. 113 5 2009 598 611
67. M. Mertens, and M. Ulmke Ground moving target tracking with context information and a refined sensor model Proceedings of the 11th International Conference on Information Fusion 2008 IEEE
68. R. Lherbier, B. Jida, J.-C. Noyer, and M. Wahl Use of contextual information by bayesian networks for multi-object tracking in scanning laser range data Proceedings of the 9th International Conference on Intelligent Transport Systems Telecommunications 2009 IEEE 97 102
69. H. Fargetton, and J.-G. Siedler Control of multi sensor system based on anomaly mapping and expert system Sensor Data Fusion: Trends, Solutions, Applications 2011 IEEE
70. L. Cuiping, S. Jinping, M. Shiyi, and L. Desheng Tracking ground targets with road constraint using multiple hypotheses tracking Proceedings of the 2nd International Conference on Signal Processing Systems vol. 2 2010 IEEE V2-265
71. S.C. Stubberud, and K.A. Kramer Data association for multiple sensor types using fuzzy logic IEEE Trans. Instrum. Measur. 55 6 2006 2292 2303
72. S.C. Stubberud, and K.A. Kramer Fuzzy logic based data association with target/sensor soft constraints Proceedings of the 22nd International Symposium on Intelligent Control 2007 IEEE 620 625
73. Y. Lemeret, E. Lefevre, and D. Jolly Improvement of an association algorithm for obstacle tracking Inform. Fusion 9 2 2008 234 245
74. G. Jemin, J.L. Crassidis, T. Singh, Information evaluation in fusion using information correlation, in: Proceedings of the 12th International Conference on Information Fusion, Seattle, USA, 2009, pp. 187-194.
75. W. Li, and H. Leung Constrained unscented kalman filter based fusion of gps/ins/digital map for vehicle localization Proceedings of the IEEE International Conference on Intelligent Transportation Systems 2003 IEEE Shanghai, China
76. G.W. Ng, C.H. Tan, and T.P. Ng Tracking ground targets using state vector fusion Proceedings of the 8th International Conference on Information Fusion vol. 1 2005 IEEE
77. A.M. Fosbury, J.L. Crassidis, T. Singh, and C. Springen Ground target tracking using terrain information Proceedings of the 10th International Conference on Information Fusion 2007 ISIF Qubec City, Canada
78. S. Cong, L. Hong, and J.R. Layne Iterative robust filtering for ground target tracking IET Control Theory Appl. 1 1 2007 372 380
79. D. Streller Road map assisted ground target tracking Proceedings of the 11th International Conference on Information Fusion 2008 IEEE Cologne, Germany 1 7
80. F. Gustafsson, U. Orguner, T.B. Schön, P. Skoglar, and R. Karlsson Handbook of Intelligent Vehicles 2012 Springer (Chapter: Navigation and tracking of road-bound vehicles)
81. E. Pollard, B. Pannetier, and M. Rombaut Convoy detection processing by using the hybrid algorithm (GMCPHD/VS-IMMC-MHT) and dynamic bayesian networks Proceedings of the 12th International Conference on Information Fusion 2009 IEEE Seattle, USA 907 914
82. E. Maggio, and A. Cavallaro Learning scene context for multiple object tracking IEEE Trans. Image Process. 18 8 2009 1873 1884
83. T. Kirubarajan, Y. Bar-Shalom, K.R. Pattipati, and I. Kadar Ground target tracking with variable structure IMM estimator IEEE Trans. Aerospace Electron. Syst. 36 1 2000 26 46
84. E. Semerdjiev, and L. Mihaylova Variable- and fixed-structure augmented interacting multiple model algorithms for manoeuvring ship tracking based on new ship models Int. J. Appl. Math. Comput. Sci. 10 3 2000 591 604
85. Y. Cheng, and T. Singh Efficient particle filtering for road-constrained target tracking IEEE Trans. Aerospace Electron. Syst. 43 4 2007 1454 1469
86. C. Yang, E. Blasch, J. Patrick, and D. Qiu Ground target track bias estimation using opportunistic road information Proceedings of the IEEE National Aerospace and Electronics Conference 2010 IEEE 156 163
87. G. Battistello, M. Ulmke, F. Papi, M. Podt, and Y. Boers Assessment of vessel route information use in bayesian non-linear filtering Proceedings of the 15th International Conference on Information Fusion 2012 IEEE Singapore 447 454
88. G. Battistello, and M. Ulmke Exploitation of a priori information for tracking maritime intermittent data sources Proceedings of the 14th International Conference on Information Fusion 2011 IEEE Chicago, USA 1 8
89. M. Roth, F. Gustafsson, and U. Orguner On-road trajectory generation from GPS data: a particle filtering/smoothing application Proceedings of the 15th International Conference on Information Fusion 2012 IEEE Singapore 779 786
90. W. Koch Information fusion aspects related to GMTI convoy tracking Proceedings of the 5th International Conference on Information Fusion vol. 2 2002 IEEE Annapolis, USA 1038 1045
91. W. Liu, J. Wei, M. Liang, Y. Cao, and I. Hwang Multi-sensor fusion and fault detection using hybrid estimation for air traffic surveillance IEEE Trans. Aerospace Electron. Syst. 49 4 2013 2323 2339
92. A. Benavoli, L. Chisci, A. Farina, L. Timmoneri, and G. Zappa Knowledge-based system for multi-target tracking in a littoral environment IEEE Trans. Aerospace Electron. Syst. 42 3 2006 1100 1119
93. X.B. Song, Y. Abu-Mostafa, J. Sill, H. Kasdan, and M. Pavel Robust image recognition by fusion of contextual information Inform. Fusion 3 4 2002 277 287
94. P. Bouquet, F. Giunchiglia, F. van Harmelen, L. Serafini, and H. Stuckenschmidt Contextualizing ontologies Web Semantics: Sci. Serv. Agents World Wide Web 1 4 2004 325 343
95. A. Jouan, Y. Allard, Y. Marcoz, Coastal activity monitoring with evidential fusion of contextual attributes from multi-pass RadarSAT-1, in: Proceedings of the 7th International Command and Control Research and Technology Symposium, 2002.
96. G. Suarez-Tangil, E. Palomar, A. Ribagorda, and I. Sanz Providing SIEM systems with self-adaptation Inform. Fusion 21 2015 145 158 http://dx.doi.org/10.1016/j.inffus.2013.04.009.
97. M.P. Jenkins, G.A. Gross, A.M. Bisantz, and R. Nagi Towards context aware data fusion: modeling and integration of situationally qualified human observations to manage uncertainty in a hard+soft fusion process Inform. Fusion 21 2015 130 144 http://dx.doi.org/10.1016/j.inffus.2013.04.011.
98. L. Snidaro, I. Visentini, and K. Bryan Fusing uncertain knowledge and evidence for maritime situational awareness via markov logic networks Inform. Fusion 21 2015 159 172 http://dx.doi.org/10.1016/j.inffus.2013.03.004.
99. A. Padovitz, S.W. Loke, A. Zaslavsky, B. Burg, and C. Bartolini An approach to data fusion for context awareness Proceedings of the 5th international conference on Modeling and Using Context 2005 Springer 353 367
100. A.N. Steinberg Context-sensitive data fusion using structural equation modeling Proceedings of the 12th International Conference on Information Fusion 2009 IEEE 725 731
101. G.L. Rogova Context-awareness in crisis management Proceedings of the Military Communications Conference 2009 IEEE 1 7
102. A. Steinberg, G. Rogova, Situation and context in data fusion and natural language understanding, in: Proceedings of the Eleventh International Conference on Information Fusion, Cologne, Germany, 2008.
103. G. Ferrin, L. Snidaro, G. Foresti, Contexts, co-texts and situations in fusion domain, in: 14th International Conference on Information Fusion, Chicago, Illinois, USA, 2011.
104. P. Hilletofth, S. Ujvari, and R. Johansson Agent-based simulation fusion for improved decision making for service operations Proceedings of the 12th International Conference on Information Fusion 2009 IEEE 998 1005
105. E.P. Blasch, D.A. Lambert, P. Valin, M.M. Kokar, J. Llinas, S. Das, C. Chong, and E. Shahbazian High level information fusion (HLIF): survey of models, issues, and grand challenges IEEE Aerospace Electron. Syst. Mag. 27 9 2012 4 20
106. G. Rogova, M. Hadzagic, M.-O. St-Hilaire, M.C. Florea, P. Valin, Context-based information quality for sequential decision making, in: Proceedings of the IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, San Diego, CA, US, 2013.
107. A.N. Steinberg, C.L. Bowman, G. Haith, E. Blasch, Adaptive context assessment and context management, in: Proceedings of the International Conference on Information Fusion, Salamanca, Spain, 2014.
108. B. Solaiman, É. Bossé, L. Pigeon, D. Gueriot, and M. Florea A conceptual definition of a holonic processing framework to support the design of information fusion systems Inform. Fusion 21 2015 85 99 http://dx.doi.org/10.1016/j.inffus.2013.08.004.
109. A. Smirnov, T. Levashova, and N. Shilov Patterns for context-based knowledge fusion in decision support systems Inform. Fusion 21 2015 114 129 http://dx.doi.org/10.1016/j.inffus.2013.10.010.
110. G.M. Powell, M.M. Kokar, C.J. Matheus, and D. Lorenz Understanding the role of context in the interpretation of complex battlespace intelligence Proceedings of the 9th International Conference on Information Fusion 2006 IEEE Florence, Italy
111. E.G. Little, and G.L. Rogova Designing ontologies for higher level fusion Inform. Fusion 10 1 2009 70 82
112. K. Sycara, R. Glinton, B. Yu, J. Giampapa, S. Owens, M. Lewis, and L. Grindle An integrated approach to high-level information fusion Inform. Fusion 10 1 2009 25 50
113. A.N. Steinberg, and C.L. Bowman Adaptive context discovery and exploitation Proceedings of the16th International Conference on Information Fusion 2013 IEEE Istanbul, Turkey
114. O. Brdiczka, P.C. Yuen, S. Zaidenberg, P. Reignier, and J.L. Crowley Automatic acquisition of context models and its application to video surveillance ICPR 2006 18th International Conference on Pattern Recognition, 2006 vol. 1 2006 IEEE 1175 1178
115. L. Snidaro, I. Visentini, J. Llinas, and G.L. Foresti Context in fusion: some considerations in a JDL perspective Proceedings of the 16th International Conference on Information Fusion 2013 IEEE Istanbul, Turkey
116. R.T. Antony, J.A. Karakowski, Towards greater consciousness in data fusion systems, in: Proceedings of the MSS National Symposium on Sensor and Data Fusion, 2007, pp. 11-14.
117. S.S. Intille, J.W. Davis, and A.F. Bobick Real-time closed-world tracking Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 1997 IEEE 697 703
118. J. Gomez-Romero, J. Garcia, M.A. Patricio, J.M. Molina, J. Llinas, High-level information fusion in visual sensor networks, in: L.-M. Ang, K.P. Seng (Eds.), Visual Information Processing in Wireless Sensor Networks: Technology, Trends, and Applications, Information Science Reference, 2012.
119. B. Pannetier, K. Benameur, V. Nimier, and M. Rombaut VS-IMM using road map information for a ground target tracking Proceedings of the 8th International Conference on Information Fusion vol. 1 2005 IEEE Philadelphia, USA
120. G. Rogova, V. Nimier, Reliability in information fusion: Literature survey, in: Proceedings of the 7th International Conference on Information Fusion, Stockolm, Sweden, 2004, pp. 1158-1165.
121. P. Braca, R. Grasso, M. Vespe, S. Maresca, J. Horstmann, Application of the JPDA-UKF to HFSW radars for maritime situational awareness, in: Proceedings of the 15th International Conference on Information Fusion, ISIF, Singapaore, 2012.
122. A. Farina, L. Ferranti, G. Golino, Constrained tracking filters for a-smgcs, in: 2003 5th International Conference on Information Fusion, vol. 1, 2003, pp. 414-421.
123. J.G. Herrero, J.B. Portas, and J. Casar Corredera Use of map information for tracking targets on airport surface IEEE Trans. Aerospace Electron. Syst. 39 2 2003 675 693
124. D.L. Hall, and J. Llinas An introduction to multisensor data fusion Proc. IEEE 85 1 1997 6 23
125. J. Gómez-Romero, M.A. Serrano, J. García, J.M. Molina, and G. Rogova Context-based multi-level information fusion for harbor surveillance Inform. Fusion 21 2015 173 186 http://dx.doi.org/10.1016/j.inffus.2014.01.011.
126. S. Das Agent-based information fusion Inform. Fusion 11 3 2010 216 219
127. J. Albusac, D. Vallejo, J.J. Castro-Schez, P. Remagnino, C. Glez-Morcillo, and L. Jimenez Monitoring complex environments using a knowledge-driven approach based on intelligent agents IEEE Intell. Syst. 25 3 2010 0024 31
128. J.F. Buford, G. Jakobson, and L. Lewis Peer-to-peer coupled agent systems for distributed situation management Inform. Fusion 11 3 2010 233 242
129. K. Sycara, R. Glinton, B. Yu, J. Giampapa, S. Owens, M. Lewis, and L. Grindle An integrated approach to high-level Information Fusion Inform. Fusion 10 1 2009 25 50
130. K. Sycara, M. Paolucci, M. Van Velsen, and J. Giampapa The retsina mas infrastructure Autonom. Agents Multi-agent Syst. 7 1-2 2003 29 48
131. B. Shanon What is context? J. Theory Soc. Behav. 20 2 1990 157 166 http://dx.doi.org/10.1111/j.1468-5914.1990.tb00180.x.
132. B. Kokinov, A dynamic theory of implicit context, in: Proceedings of the 2nd European Conference on Cognitive Science, Manchester, UK, 1997.
133. L. Motus, M. Meriste, and J. Preden Towards middleware based situation awareness Proceedings of the Military Communications Conference 2009 IEEE 1 7
134. J. Preden, L. Motus, M. Meriste, and A. Riid Situation awareness for networked systems Proceedings of the 1st International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support 2011 IEEE 123 130
135. G. Rogova, E. Bossé, Information quality in information fusion, in: Proceedings of the 13th International Conference on Information Fusion, Edinburgh, UK, 2010.
136. J. Coutaz, and G. Rey Foundations for a theory of contextors Computer-Aided Design of User Interfaces III 2002 Springer 13 33
137. W.B. Heinzelman, A.L. Murphy, H.S. Carvalho, and M.A. Perillo Middleware to support sensor network applications IEEE Network 18 1 2004 6 14
138. T. Gu, H.K. Pung, and D.Q. Zhang A service-oriented middleware for building context-aware services J. Network Comput. Appl. 28 1 2005 1 18
139. K.E. Kjr, A survey of context-aware middleware, in: Proceedings of the 25th Conference on IASTED International Multi-Conference: Software Engineering, 2007, pp. 148-155.
140. A. Alston Network enabled capability-the concept J. Defence Sci. 8 3 2003 108 116
141. M.C. Huebscher, and J.A. McCann Adaptive middleware for context-aware applications in smart-homes Proceedings of the 2nd Workshop on Middleware for Pervasive and Ad-hoc Computing 2004 ACM 111 116
142. H. Alex, M. Kumar, and B. Shirazi Mindfusion: an adaptive middleware for information fusion in sensor network applications Inform. Fusion 9 3 2008 332 343
143. M. Jakob, N. Kaveh, R. Ghanea-Hercock, Nexus-Middleware for Decentralized Service-Oriented Information Fusion, Tech. rep, DTIC Document, 2006.