Evaluation of a posteriori probabilities of multi-frame data association hypotheses

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6699, Issue , 2007, Pages

  Mori, Shozo ^a   Chong, Chee ^a  

^a BAE SYSTEMS   (United States)

Author keywords

K best multiple frame hypothesis selection; Markov chain Monte Carlo (MCMC) method; Multiple target tracking; Multiple frame data association hypothesis; Sequential Monte Carlo (SMC) method; Track oriented multiple hypothesis tracking (MHT)

Indexed keywords

K-BEST MULTIPLE-FRAME HYPOTHESIS SELECTION; MARKOV CHAIN MONTE CARLO (MCMC) METHOD; MULTIPLE FRAME DATA ASSOCIATION HYPOTHESIS; MULTIPLE TARGET TRACKING; SEQUENTIAL MONTE CARLO (SMC) METHOD; TRACK ORIENTED MULTIPLE-HYPOTHESIS TRACKING (MHT);

ALGORITHMS; COMPUTATIONAL EFFICIENCY; MARKOV PROCESSES; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS;

TARGET TRACKING;

EID: 42149111722     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.734822     Document Type: Conference Paper

References (21)

1. Y. Bar-Shalom, and X.-R. Li, Multitarget-Multisensor Tracking: Principles and Techniques, YBS Publishing, Storrs, CT, 1995.
2. S. S. Blackman, and R. Popoli, Design and Analysis of Modern Tracking Systems, Artech House, Norwood, MA, 1999.
3. C. L. Morefield, "Application of 0-1 Integer Programming to Multi-Target Tracking Problems," IEEE Transaction on Automatic Control, Vol. AC-23, pp. 302-312, June 1977.
4. D. B. Reid, "An Algorithm for Tracking Multiple Targets," IEEE Transaction on Automatic Control, Vol. AC-24, pp. 843-854, Dec, 1979.
5. S. Mori, C.-Y. Chong, E. Tse, and R. P. Wishner, "Tracking and Classifying Multiple Targets without A Priori Identification," IEEE Transaction on Automatic Control, Vol. AC-33, No. 2, (1986), pp. 401-409.
6. S. S. Blackman, "Multiple Hypothesis Tracking for Multiple Target Tracking," IEEE AES Magazine, Number One, Part Two, January, 2004.
7. A. B. Poore, and N. Rijavec, "Multitarget Tracking and Multidimensional Assignment Problems," in Proc. the 1991 SPIE Conference on Signal And Data Processing of Small Targets, Vol. 1438, pp. 345-356,1991.
8. R. L. Popp, K. R. Pattipati, and Y. Bar-Shalom, "m-Best s-D Assignment Algorithm with Application to Multiple Target Tracking," IEEE Transactions on Aerospace and Electronic Systems, Vol. 37, No. 1, pp. 22 - 39, January 2001.
9. I. J. Cox, and M. L. Miller, "On Finding Ranked Assignments with Application to Multitarget Tracking and Motion Correspondence," IEEE Transactions on Aerospace and Electronic Systems, Vol. 32, No. 1, pp. 486-489, 1995.
10. I. J. Cox, M. L. Miller, R. Danchick, and G. E. Newnam, "A Comparison of Two Algorithms for Determining Ranked Assignments with Application to Multitarget Tracking and Motion Correspondence," IEEE Transactions on Aerospace and Electronic Systems, Vol. 33, No. 1, pp. 295-301, 1997.
11. E. Fortunato, W. Kreamer, S. Mori, C.-Y. Chong, G. Castanon, "Generalized Murty's Algorithm With Application to Multiple Hypothesis Tracking," in Proceedings of 10th International Conference on Information Fusion, Québec, QC, Canada, July, 2007.
12. K. Murty, "An Algorithm for Ranking All the Assignments in Order of Increasing Cost," Operation Research, Vol. 16, pp. 682-687, 1968.
13. S. Oh, S. Russell, and S. Sastry, "Markov Chain Monte Carlo Data Association for General Multiple-Target Tracking Problems," in Proceedings of 2004 43rd IEEE Conference on Decision and Control, pp. 735-742, Vol. 1, Dec. 2004.
14. S. Mori, and C.-Y. Chong, "Data Association Hypothesis Evaluation for I.I.D. but Non-Poisson Multiple Target Tracking," in Proc. SPIE Symposium on Signal and Data Processing of Small Targets, Orlando, FL, April 2004.
15. S. Mori, and C.-Y. Chong, "Evaluation of Data Association Hypotheses: Non-Poisson I.I.D. Cases," in Proc. 7th International Conference on Information Fusion, pp. 1133 - 1140, Stockholm, Sweden, July 2004.
16. R. Mahler, StatisticalMultisource-Multitarget Information Fusion, Artech House, 2007.
17. R. Mahler, "Unified Sensor Management Using CPHD Filters," in Proceedings of 10th International Conference on Information Fusion, Québec, QC, Canada, July 2007.
18. S. Coraluppi, C. Carmel, M. Luettgen, and S. Lynch, "All-Source Track and Identity Fusion," in Proceedings of MSS National Symposium on Sensor and Data Fusion, San Antonio, TX, June 2000.
19. W. K. Hastings, "Monte Carlo Sampling Methods Using Markov Chains and Their Applications," Biometrika, Vol. 57, pp. 97-109, 1970.
20. N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, "Equation of State Calculation by Fast Computing Machines," Journal of Chemical Physics, Vol. 21, pp. 1087- 1092,1953.
21. R. M. Neal, "Probabilistic Inference Using Markov Chain Monte Carlo Methods," Technical Report CRG-TR-93-1, Department of Computer Science, University of Toronto, p. 55, September 1993.