Multiple hypothesis clustering, multiple frame assignment, tracking

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5428, Issue , 2004, Pages 294-307

  Gadaleta, Sabino ^a   Poore, Aubrey ^a   Roberts, Sean ^a   Slocumb, Benjamin J ^a  

^a NUMERICA CORPORATION   (United States)

Author keywords

Cluster Tracking; MFA Tracking; Multiple Frame Cluster Tracking; Multiple Hypothesis Clustering

Indexed keywords

CLUSTER TRACKING; MULTIPLE FRAME ASSIGNMENT (MFA); MULTIPLE FRAME CLUSTER TRACKING; MULTIPLE HYPOTHESIS CLUSTERING;

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DATA REDUCTION; PROBLEM SOLVING; REAL TIME SYSTEMS; SURVEILLANCE RADAR;

TRACKING (POSITION);

EID: 8844284519     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.542213     Document Type: Conference Paper

References (12)

1. S. Blackman, Multiple-Target tracking with radar applications, Artech House, Norwood, MA, 1986.
2. O. Drummond, S. Blackman, and G. Petrisor, "Tracking clusters and extended objects with multiple sensors," in SPIE Vol. 1305, Signal and Data Processing of Small Targets, pp. 362-375, 1990.
3. R. Mahler, "Bayesian cluster detection and tracking using a generalized cheeseman approach," in Proc. 2003 SPIE AeroSense Conference, Vol. 5096, 2003.
4. S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems, Artech House, Norwood, MA, 1999.
5. A. B. Poore, "Multidimensional assignment formulation of data association problems arising from multitarget tracking and multisensor data fusion," Computational Optimization and Applications 3, pp. 27-57, 1994.
6. S. Gadaleta, A. B. Poore, and B. J. Slocumb, "Single-frame cluster MFA tracking," in Proceedings of the American Control Conference, Denver, Colorado, June 2003, pp. 1242-1247, 2003.
7. S. Gadaleta, M. Klusman, A. B. Poore, and B. J. Slocumb, "Multiple frame cluster tracking," in SPIE Vol. 4728, Signal and Data Processing of Small Targets, pp. 275-289, 2002.
8. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Academic Press, 1999.
9. J. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proceedings of the Fifth Berkeley Symposium on Mathematical statistics and probability, pp. 281-297, University of California Press, 1967.
10. A. Dempster, N. Laird, and D. Rubin, "Maximum-likelihood from incomplete data via the EM algorithm," Journal of the Royal Statistical Society, B 39, p. 39, 1977.
11. G. McLachlan and T. Krishnan, The EM algorithm and extensions, Wiley, New York, 1997.
12. S. Gadaleta, A. B. Poore, and B. J. Slocumb, "Some assignment problems arising from cluster tracking," in ORNL Workshop on Signal Processing, Communications and Chaotic Systems: A Tribute to Rabinder N. Madan, Harbor Island Conference Center, June 20, 2002, 2002.