Adaptive gating for multitarget tracking with Gaussian mixture filters

IEEE Transactions on Signal Processing

Volumn 60, Issue 3, 2012, Pages 1533-1538

  MacAgnano, Davide ^a   Freitas De Abreu, Giuseppe Thadeu ^b  

^a UNIVERSITY OF OULU   (Finland)

^b JACOBS UNIVERSITY BREMEN   (Germany)

Author keywords

Gating; Gaussian mixture filters; GM CPHD; multitarget tracking; square root cubature Kalman filter

Indexed keywords

GATING; GAUSSIAN MIXTURES; GM-CPHD; MULTI-TARGET TRACKING; SQUARE-ROOT;

BAYESIAN NETWORKS;

KALMAN FILTERS;

EID: 84857217395     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2011.2178600     Document Type: Article

References (16)

1. Y. Bar-Shalom, X. R. Li, and T. Kirubarajan, Estimation With Application to Tracking and Navigation. New York: Wiley-Interscience, 2001.
2. R. Mahler, "Multitarget bayes filtering via first-order multitarget moments," IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp. 1152-1177, Oct. 2003.
3. 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)
4. B.-N. Vo and W.-K. Ma, "The gaussian mixture probability hypothesis density filter," IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4091-4104, Nov. 2006. (Pubitemid 44637744)
5. D. Macagnano and G. T. F. de Abreu, "Multitarget tracking with the cubature Kalman probability hypothesis density filter," presented at the IEEE 44th Asilomar Conf. Signals, Sys., Comput., Pacific Grove, CA, Nov. 2010.
6. I. Arasaratnam and S. Haykin, "Cubature Kalman filter," IEEE Trans. Autom. Control, vol. 54, no. 6, pp. 1254-1269, Jun. 2009.
7. S. Blackman and R. Popoli, Design and Analysis of Modern Tracking Systems. Norwood, MA: Artech House, 1999.
8. S. J. Julier and J. K. Uhlmann, "Unscented filtering and nonlinear estimation," Proc. IEEE, vol. 92, no. 3, pp. 401-422, Mar. 2004. (Pubitemid 40890750)
9. R. V. der Merwe and E. A. Wan, "The square-root unscented Kalman filter for state and parameter-estimation," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 2001, vol. 6, pp. 3461-3464. (Pubitemid 32838365)
10. B. T. Vo, "Random finite sets in multi-objects filtering," Ph.D. dissertation, School of Electrical, Electronic and Computer Engineering, Univ. of Western Australia, Crawley, WA, Australia, 2008.
11. B.-N. Vo and A. Doucet, "Sequential Monte Carlo methods for multitarget filtering with random finite sets," IEEE Trans. Aerosp. Electron. Syst., vol. 41, no. 4, pp. 1224-1245, 2005. (Pubitemid 43033914)
12. B.-T. Vo, B.-N. Vo, and A. Cantoni, "Analytic implementation of the cardinalized probability hypothesis density filter," IEEE Trans. Signal Process., vol. 55, no. 7, pp. 3553-3567, Jul. 2007. (Pubitemid 47018838)
13. D. Daley and D. Vere-Jones, An Introduction to the Theory of Point Processes. New York: Springer-Verlag, 2009.
14. O. Erdinc, P. Willett, and Y. Bar-Shalom, "The bin-occupancy filter and its connection to the PHD filter," IEEE Trans. Signal Process., vol. 57, no. 11, pp. 4232-4246, Nov. 2009.
15. M. Ulmke, O. Erdinc, and P. Willett, "GMTI tracking via the Gaussian mixture cardinalized probability hypothesis density filter," IEEE Aerosp. Eletron. Syst. Mag., vol. 46, no. 4, pp. 1821-1833, Oct. 2010.
16. D. Schuhmacher, B.-T. Vo, and B.-N. Vo, "A consistent metric for performance evaluation of multi-object filters," IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3447-3457, 2008.