Evaluation of data association Hypotheses: Non-poisson I.I.D. cases

Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004

Volumn 2, Issue , 2004, Pages 1133-1140

  Mori, Shozo ^a   Chong, Chee Yee ^a  

^a ALPHATECH Inc   (United States)

Author keywords

Data association hypothesis evaluation; I.i.d. Cluster; Multiple target tracking; Non Poisson point process

Indexed keywords

APPROXIMATION THEORY; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; RANDOM PROCESSES; THEOREM PROVING;

DATA ASSOCIATION HYPOTHESIS EVALUATION; I.I.D. CLUSTERS; MULTIPLE TARGET TRACKING; NON-POISSON POINT PROCESS;

DATA REDUCTION;

EID: 6344240675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Ronald P. S. Mahler. Random sets as a foundation for general data fusion. In Proceedings of the Sixth Joint Service Data Fusion Symposium, Vol. I, Part 1, John Hopkins University, Applied Physics Laboratory, Laurel, MD, pp. 357-394, 1993.
2. Shozo Mori. Random sets in data fusion: multi-object, state-estimation as a foundation of data fusion theory. In Random Sets - Theory and Applications -, ed. by John Goutsias, Ronald P.S. Mahler, and Hung T. Nguyen, Springer Verlag, 1996.
3. th International Conference on Information Fusion, Annapolis, MD, July 2002.
4. Shozo Mori, Chee-Yee Chong, Edison Tse, and Richard P. Wishner. Tracking and classifying multiple targets without a priori Identification. IEEE Transaction on Automatic Control, Vol. AC-31, No. 5, pp. 401-409, 1986.
5. Donald B. Reid. An algorithm for tracking multiple targets. IEEE Transaction on Automatic Control, Vol. AC-24, No. 6, pp. 843-854, 1979.
6. Shozo Mori and Chee-Yee Chong. What are data association hypotheses?. In Proc. Workshop on Multiple Hypothesis tracking, A Tribute to Sam Blackman, San Diego, CA, May 2003.
7. Shozo Mori and Chee-Yee Chong. A multitarget tracking algorithm - independent but non-Poisson cases. In Proc. of the 1985 American Control Conference, Boston, MA, pp. 1054 - 1055, June 1985.
8. th International Conference on Information Fusion, Cairns, Australia, July 2003.
9. Charles L. Morefield. Application of 0-1 integer programming to multi-target tracking problems. IEEE Transaction on Automatic Control, Vol. AC-22, No. 3, pp. 302-312, June 1977.
10. Thomas G. Allen, Thomas Kurien, and Robert B. Washburn. Parallel computer structures for multiobject tracking algorithms on associative processors. In Proc. American Control Conf., Seattle, WA, June, 1986.
11. George C. Demos, Roberto A. Ribas, Ted J. Broida, and Samuel S. Blackman. Application of MHT to dim moving targets. In Proc. Symposium on Signal and Data Processing of Small Targets, Vol.1305 (ed. by Oliver E. Drummond), pp.297-309, April,.1990.
12. Krishna R. Pattipati, Somnath Deb, and Yaakov BarShalom. Passive multisensor data association using a new relaxation algorithm. In Multitarget-Multisensor Tracking: Advanced Applications, ed. by Yaakov Bar-Shalom, Artech House, 1990.
13. Aubrey B. Poore and Nenad Rijavec. A new class of methods for solving data association problems arising from multitarget tracking. In Proc. the 1991 American Automatic Control Conference, Vol. 3, pp. 2302-2304, Boston, MA, 1991.
14. Daryl J. Daley and David Vere-Jones. An Introduction to the Theory of Point Processes. Springer-Verlag, 1988.