Human-centered multi-target tracking: A random set theoretic approach

Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012

Volumn , Issue , 2012, Pages 193-200

  Khaleghi, Bahador ^a   Karray, Fakhri ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSOCIATION PROBLEM; DATA-FUSION SYSTEMS; EMERGING TRENDS; FUSION PROCESS; MULTI-TARGET TRACKING; RANDOM SET; SOFT DATA; TRACKING PERFORMANCE;

ALGORITHMS; DATA FUSION; INFORMATION USE; SET THEORY;

TRACKING (POSITION);

EID: 84868310976     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2012.6303010     Document Type: Conference Paper

References (12)

1. D. L. Hall and J. M. Jordan. Human-Centered Information Fusion. Boston, MA, USA: Artech House, 2010.
2. D. L. Hall, M. McNeese, J. Llinas, and T. Mullen. A framework for dynamic hard/soft fusion. In Proc. of the ICIF, pages 1-8, 2008.
3. B. Khaleghi and F. Karray. Distributed random set theoretic soft/hard data fusion: target tracking application. In Proc. of IEEE ISSNIP (to appear), 2011.
4. B. Khaleghi, A. Khamis, and F. Karray. Random finite set theoretic based soft/hard data fusion with application for target tracking. In Proc. of the IEEE MFI, pages 50-55, 2010.
5. B. Khaleghi, A. Khamis, F. Karray, and S. N. Razavi. Multisensor data fusion: A review of the state-of-the-art. Information Fusion (to appear), DOI: 10.1016/j.inffus.2011.08.001.
6. R. P. S. Mahler. Statistical Multisource-Multitarget Information Fusion. Boston, MA, USA: Artech House, 2007.
7. R. P. S. Mahler. A survey of phd filter and cphd filter implementations. In Proc. of SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition, pages 65670O1-65670O12., 2007.
8. R. P. S. Mahler. Measurement-to-track association for nontraditional measurements. In Proc. of the ICIF, pages 1-8, 2011.
9. M. A. Pravia, O. Babko-Malaya, M. K. Schneider, J. V. Whity, C. Y. Chong, and A. S. Willsky. Lessons learned in the creation of a data set for hard/soft information fusion. In Proc. of ICIF, pages 2114-2121, 2009.
10. K. Premaratne, M. N. Murthi, J. Zhang, M. Scheutz, and P. H. Bauer. A dempster-shafer theoretic conditional approach to evidence updating for fusion of hard and soft data. In Proc. of ICIF, pages 2122-2129, 2009.
11. D. Smith and S. Singh. Approaches to multisensor data fusion in target tracking: a survey. IEEE Trans. on Knowledge and Data Engineering, 18(12):1696-1710, 2006.
12. T. L. Wickramarathne, K. Premaratne, M. N. Murthi, M. Scheutz, S. Kubler, and M. Pravia. Belief theoretic methods for soft and hard data fusion. In Proc. of IEEE ICASSP, pages 2388-2391, 2011.