Random sets in data fusion problems

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3163, Issue , 1997, Pages 278-289

  Mori, Shozo ^a  

^a RAYTHEON COMPANY   (United States)

Author keywords

Assignment problems; Choquet's capacity functional; Data fusion; Multi target multi sensor tracking; Multiple object state estimation; Point processes; Random sets

Indexed keywords

ALGORITHMS; BATCH DATA PROCESSING; OPTICAL CORRELATION; OPTICAL SENSORS; TRACKING (POSITION);

MULTI-TARGET TRACKING;

SENSOR DATA FUSION;

EID: 0031288782     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.279524     Document Type: Conference Paper

References (25)

1. Data fusion subpanel report
2. An optimal data association problem in surveillance theory
3. Random sets in data fusion: Multi-object state-estimation as a foundation of data fusion theory
4. Random sets in data dusion problems
5. An algorithm for tracking multiple targets
6. Application of 0-1 integer programming to multitarget tracking problems
7. Multitarget multisensor tracking problems - Part I: A general solution and a unified view on Bayesian approaches
8. Tracking and classifying multiple targets without a priori identification
9. A random point process approach to multiobject tracking
10. Random sets as a foundation for general data fusion
11. Joint multitarget probabilities for detection, tracking, and sensor management
12. Unified data fusion
13. Joint probabilistic data association for multiple targets in clutter
14. An effective suboptimal decision procedure for associating sensor data with stored tracks in real-time surveillance systems
15. A shortest augmenting path algorithm for dense and sparse linear assignment algorithms
16. Passive multisensor data association using a new relaxation algorithm
17. Multitarget tracking, multidimensional assignment problems and lagrangian relaxation
18. Tracking performance evaluation-prediction of track purity