Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity

FUSION 2014 - 17th International Conference on Information Fusion

Volumn , Issue , 2014, Pages

  Li, Tiancheng ^a   Sun, Shudong ^a   Corchado, Juan Manuel ^b   Siyau, Ming Fei ^c  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF SALAMANCA   (Spain)

^c LONDON SOUTH BANK UNIVERSITY   (United Kingdom)

Author keywords

multi Bernoulli filter; Multi target tracking; particle filter; PHD filter; random finite set

Indexed keywords

ADAPTIVE FILTERING; CLUTTER (INFORMATION THEORY); MONTE CARLO METHODS; SET THEORY;

MULTI-BERNOULLI; MULTI-TARGET TRACKING; PARTICLE FILTER; PHD FILTERS; RANDOM FINITE SETS;

TARGET TRACKING;

EID: 84910637788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (27)

1. R. Mahler, "Multi-target Bayes filtering via first-order multi-target moments, " IEEE Trans. Aerosp. Electron. Syst., vol. 39, no. 4, pp. 1152-1178, 2003.
2. R. Mahler, "PHD filters of higher order in target number, " IEEE Trans. Aerosp. Electron. Syst., vol. 43, no. 4, pp. 1523-1543, 2007.
3. R. Mahler, Statistical Multisource-Multitarget Information Fusion. Artech House, 2007.
4. B. T. Vo, B. N. Vo and A. Cantoni, "The cardinality balanced multi-target multi-Bernoulli filter and its implementations, " IEEE Trans. Signal processing, vol. 57, no. 2, pp. 409-423, 2009.
5. B. Ristic, D. Clark, and B.-N. Vo, "Improved SMC implementation of the PHD filter" in Proc. 13th Annual Conf. Information Fusion, Edinburgh, UK, 2010.
6. B. Ristic, D. Clark, B.-N. Vo and B.-T. Vo, "Adaptive target birth intensity for PHD and CPHD filters, "IEEE Trans. Aerosp. Electron. Syst., vol. 48, no. 2, pp. 1656-1668, 2012.
7. R. Mahler, B.-T. Vo, and B.-N. Vo, "CPHD filtering with unknown clutter rate and detection profile, " IEEE Transactions on Signal Processing, Vol. 59, No. 8, Aug. 2011, pp. 3497-3513.
8. R. Streit, "Birth and death in multitarget tracking filters, " 2013 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), p. 1-6, Bonn, Germany, 9-11 Oct. 2013.
9. 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.
10. M. Tobias and A. D. Lanterman "Techniques for birth-particle placement in the probability hypothesis density particle filter applied to passive radar, " IEE Proc. Radar Sonar Navig., vol. 2, no. 5, pp. 351-365, 2008.
11. E. Maggio, M. Taj and A. Cavallaro, "Efficient multi-target visual tracking using random finite sets, " IEEE Trans. Circuits and Systems for Video Technology., vol. 18, no. 8, pp. 1016-1027, 2008.
12. Y. Wang, Z. Jing, S. Hu, and J. Wu, "Detection-guided multi-target Bayesian filter, " Signal Processing, vol. 92, no. 3, pp. 564-574, 2012.
13. X. Zhou, Y. F. Li, and B. He, "Entropy distribution and coverage rate-based birth intensity estimation in GM-PHD filter for multi-target visual tracking, " Signal Processing, vol. 94, pp. 650-660, 2014.
14. J. H. Yoon, D. Y. Kim, S. H. Bae, and V. Shin, "Joint initialization and tracking of multiple moving objects using Doppler information, " IEEE Transactions on Signal Processing, Vol. 59, no. 7, 3447-3452, July 2011.
15. S. Reuter, D. Meissner, B. Wilking, and K. Dietmayer, "Cardinality balanced multi-target multi-Bernoulli filtering using adaptive birth distributions" FUSION 2013: 1608-1615.
16. R. Mahler, ""Statistics 102" for multisource-multitarget detection and tracking, " IEEE Journal of Selected Topics in Sig. Processing, vol. 7, no. 3, pp. 376-389, 2013.
17. J. Houssineau, and D. Laneuville, "PHD filter with diffuse spatial prior on the birth process with applications to GM-PHD filter, " Proc. 13th Int. Conf. Information Fusion, Edinburgh, 2010.
18. 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, 2006.
19. J. L. Williams, "Hybrid Poisson and multi-Bernoulli filters, " FUSION 2012, pp. 1103-1110, Singapore, 9-12 July 2012.
20. T. Li, and S. Sun, "Online Adapting the magnitude of target birth intensity in the PHD filter, " Advances in Distributed Computing and Artificial Intelligence Journal, vol. 1, no. 7, pp. 31-40, 2013.
21. M. Beard, B.-T. Vo, B.-N. Vo, and S. Arulampalam, "Gaussian mixture PHD and CPHD filtering with partially uniform target birth, " Proc. 15th Int. Conf. Information Fusion, Singapore, July 2012.
22. X. Zhou, Y. F. Li, B. He, and T. Bai, "GM-PHD-based multi-target visual tracking using entropy distribution and game theory, " IEEE Trans. on Industrial Informatics, vol. 99, no. PP, pp. 1-12, 2013.
23. T. Li, S. Sun and T. Sattar, "High-speed sigma-gating SMC-PHD filter, " Signal Processing, vol. 93, no. 9, pp. 2586-2593, 2013.
24. M. Tobias and A. D. Lanterman, "Probability hypothesis density-based multitarget tracking with bistatic range and Doppler observations, " IEE Proc., Radar Sonar Navig., vol. 152, no. 3, pp. 195-205, 2005.
25. N. Whiteley, S. Singh, and S. Godsill, "Auxiliary particle implementation of probability hypothesis density filter, " IEEE Trans. Aerosp. Electron. Syst., vol. 46, no. 3, pp. 1437-1454, 2010.
26. D. Schuhmacher, B.-T. Vo, and B.-N. Vo, "A consistent metric for performance evaluation in multi-object filtering, " IEEE Trans. Signal Process., vol. 56, no. 8, pp. 3447-3457, 2008.
27. T. Li, S. Sun, M. F. Siyau and J. M. Corchado, "Multi-EAP: approximately optimal estimate extraction method for the SMC-PHD filter, " Information fusion, submitted. [Online]: https: //sites. google. com/ site/tianchengli85/publications/current-work/preprint