Hierarchical multi-hypothesis tracking with application to multi-scale sensor data

IEEE Aerospace Conference Proceedings

Volumn 4, Issue , 2002, Pages 1609-1623

  Coraluppi, Stefan ^a   Carthel, Craig ^a   Mallick, Mahendra ^a  

^a BAE SYSTEMS   (United Kingdom)

Author keywords

Centralized Tracking; Multi Hypothesis Tracking; Multi Sensor Multi Target Tracking; Sensor Fusion

Indexed keywords

CENTRALIZED ARCHITECTURE; CENTRALIZED PROCESSING; DECENTRALIZED ESTIMATION; INFORMATION CONTENTS; MULTI-HYPOTHESIS TRACKING; MULTI-TARGET TRACKING; SENSOR FUSION; SENSOR UPDATE RATES;

DATA FUSION; TARGET TRACKING;

SENSORS;

EID: 67651010230     PISSN: 1095323X     EISSN: None     Source Type: Journal    
DOI: 10.1109/AERO.2002.1036877     Document Type: Article

References (26)

1. Y. Bar-Shalom and X. Li, Multitarget-Multisensor Tracking: Principles and Techniques, YBS Publishing, 1998
2. S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems, Artech House, 1999
3. Y. Bar-Shalom and William Dale Blair (eds.), Multitarget-Multisensor Tracking: Applications and Advances, Volume III, Artech House, 2000
4. K. Pattipati, T. Kirubarayan, and R. Popp, Survey of Assignment Techniques for Multitarget Tracking, in Proceedings of the Workshop on Estimation, Tracking, and Fusion: A Tribute to Yakkov Bar-Shalom, Monterey, CA, May 2001
5. D. Reid, An Algorithm for Tracking Multiple Targets, IEEE Transactions on Automatic Control 24(6), pp. 843854, 1979
6. I. Cox and M. Miller, On Finding Ranked Assignments with Application in Multitarget Tracking and Motion Correspondence, IEEE Transactions on Aerospace and Electronic Systems 31(1), pp. 486-489, 1995
7. T. Kurien, Issues in the Design of Practical Multitarget Tracking Algorithms, in Multitarget-Multisensor Tracking, Y. Bar-Shalom (ed.), pp. 43-83, Artech House, 1990
8. C. Morefield, Application of 0-1 Integer programming to Multitarget Tracking Problems, IEEE Transactions on Automatic Control, 22(3): 302-312, 1977
9. Y. Bar-Shalom, Performance Limits of Track-to-Track Fusion versus Centralized Estimation: Theory and Application, Fourth ONR/GTRI Workshop on Target Tracking and Sensor Fusion, May 2001, Monterey, CA
10. H. Chen, T. Kirubarajan, and Y. Bar-Shalom, Comparison of Centralized and Distributed Tracking Algorithms Using Air to Air Scenarios, in Signal and Processing of Small Targets 2000, Proceedings of SPIE Vol. 4048, pp. 440-451, 2000
11. S. Coraluppi, C. Carthel, M. Luettgen, and S. Lynch, All-Source Track and Identity Fusion, in Proceedings of the National Symposium on Sensor and Data Fusion, June 2000, San Antonio TX, USA
12. P. Storms and F. Spieksma, an LP-based Algorithm for the Data Association Problem in Multitarget Tracking, in Proceedings of International Conference on Information Fusion, Paris, France, July 2000
13. Y. Bar-Shalom and X. Li, Estimation and Tracking: Principles, Techniques, and Software, Artech House, 1993 (reprinted by YBS Publishing, 1998)
14. R. Singer, Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets, IEEE Transactions on Aerospace and Electronic Systems, Vol. 6(4), July 1970
15. A. Gelb (ed.), Applied Optimal Estimation, M.I.T. Press, 1974
16. R. Mehra, On the Identification of Variances and Adaptive Kalman Filtering, IEEE Transactions on Automatic Control, Vol. 15(2), April 1970
17. X. Li and Y. Bar-Shalom, A Recursive Multiple Model Approach to Noise Identification, IEEE Transactions on Aerospace and Electronic Systems, Vol. 30(3), July 1994
18. Mazor, Averbuch, Bar-Shalom, and Dayan, Interacting Multiple Model Methods in Target Tracking: A Survey, IEEE Transactions on Aerospace and Electronic Systems, 34(1), 1998
19. K.C. Chang, R.K. Saha, and Y. Bar-Shalom, On Optimal Track-to-Track Fusion, IEEE Transactions on Aerospace and Electronic Systems 33(4), October 1997
20. R. Lobbia and M. Kent, Data Fusion of Decentralized Local Tracker Outputs, IEEE Transactions on Aerospace and Electronic Systems 30(3), pp. 787-799, 1994
21. S. Coraluppi, C. Carthel, S. Lynch, and D. Herrick, All-Source Track and Identity Fusion: Recent Advances and Results, in Proceedings of the National Symposium on Sensor and Data Fusion, June 2001, San Diego CA, USA
22. J. Mendel, Lessons in Estimation Theory for Signal Processing, Communications, and Control, Prentice Hall, 1995
23. S. Coraluppi, M. Luettgen, and C. Carthel, A HybridState Estimation Algorithm for Multi-Sensor Target Tracking, in Proceedings of the 3rd International Conference on Information Fusion, July 2000, Paris, France
24. X. Li and Y. Bar-Shalom, Multiple-model estimation with variable structure, IEEE Transactions on Automatic Control, 41(4), 1996
25. T. Kirubarajan and Y. Bar-Shalom, Tracking Evasive Move-Stop-Move Targets with an MTI Radar Using a VS-IMM Estimator, in Signal and Processing of Small Targets 2000, Proceedings of SPIE Vol. 4048, pp. 236246, 2000
26. S. Coraluppi and C. Carthel, Multiple-Hypothesis IMM (MH-IMM) Filter for Moving and Stationary Targets, in Proceedings of the 4th International Conference on Information Fusion, August 2001, Montreal, Canada