Sequential Monte Carlo method for the iFilter

Fusion 2011 - 14th International Conference on Information Fusion

Volumn , Issue , 2011, Pages

  Schikora, Marek ^a   Koch, Wolfgang ^a   Streit, Roy L ^b   Cremers, Daniel ^c  

^a FRAUNHOFER FKIE   (Germany)

^b METRON INC   (United States)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Intensity filter; Multitarget tracking; PHD filter; Poisson point processes (PPP's); Sequential Monte Carlo

Indexed keywords

INTENSITY FILTER; MULTI-TARGET TRACKING; PHD FILTER; POISSON POINT PROCESS; SEQUENTIAL MONTE CARLO;

CLUTTER (INFORMATION THEORY); INFORMATION FUSION; INTERNET PROTOCOLS;

MONTE CARLO METHODS;

EID: 80052521570     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Y. Bar-Shalom and T. Fortmann, Tracking and Data Association. San Diego, CA: Academic, 1988.
2. T. Fortmann, Y. Bar-Shalom, and M. Scheffe, IEEE J. Oceanic Eng., vol. 8, pp. 173-184, 1983.
3. D. B. Reid, "An algorithm for tracking multiple targets," IEEE Trans. Autom. Control, vol. 24, no. 6, pp. 843-854, 1979.
4. R. Streit and L. Stone, "Bayes derivation of multitarget intensity filters," in 11th International Conference on Information Fusion, 2008.
5. R. Streit, "Multisensor multitarget intensity filter," in 11th International Conference on Information Fusion, 2008.
6. R. Mahler, "Multitarget bayes filtering via first-order multitargets moments," IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp. 1152-1178, 2003.
7. R. Streit, Poisson Point Processes. Springer, 2010.
8. H. Sidenbladh, "Multi-target particle filtering for probability hypothesis density," in International Conference on Information Fusion, Cairns, Australia, 2003, pp. 800-806.
9. T. Zajic and R. Mahler, "A particle-systems implementation of the phd multi-target tracking filter," Proc. SPIE, Signal Processing, Sensor Fusion Target Recognition XII, vol. 5096, no. 4, pp. 291-299, 2003.
10. B.-N. Vo, S. Singh, and A. Doucet, "Sequential Monte Carlo methods for multi-target filtering with random finite sets," IEEE Trans. Aerosp. Electron. Syst., vol. 41, no. 4, pp. 1224-1245, 2005. (Pubitemid 43033914)
11. B.-T. Vo and W.-K. Ma, "The gaussian mixture probability hypothesis density filter," IEEE Trans. Signal Processing, vol. 55, no. 11, pp. 4091-4104, 2006. (Pubitemid 44637744)
12. S. Lloyd, "Least squares quantziation in pcm," IEEE Trans. Inform. Theory, vol. 28, no. 2, pp. 129-137, 1982.
13. R. Mahler, "PHD filters of higher order in target number," IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 4, pp. 1523-1543, 2007. (Pubitemid 351344373)
14. G. Carpenter and S. Grossberg, "ART 2: Self-organizing stable category recognition codes for analog input patterns," Applied Optics, vol. 26, no. 23, pp. 4919-4930, 1987.
15. D. Schumacher, B. Vo, and B. Vo, "A consistent metric for performance evaluation of multi-object filters," IEEE Trans. Signal Processing, vol. 56, no. 8, pp. 3447-3457, 2008.
16. M. Schikora, D. Bender, D. Cremers, and W. Koch, "Passive multi-object localization and tracking using bearing data," in 13th International Conference on Information Fusion, Edinburgh, UK, July 2010.
17. M. Schikora, "Global optimal multiple object detection using the fusion of shape and color information," in Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), August 2009.
18. M. Schikora, D. Bender, W. Koch, and D. Cremers, "Multitarget multisensor localization and tracking using passive antennas and optical sensors," Proc. SPIE, Security + Defense, vol. 7833, 2010.
19. R. O. Schmidt, "Multiple emitter location and signal parameter estimation," Proc. RADC Spectrum Estimation Workshop, Griffith AFB, pp. 243-258, 1979.