[1]     Doucet, A.; De Fiestas, N.; Gordon, N.; Eds, J. “Sequential Monte Carlo Methods in Practice”; New York: Springer-Verlag, 2001.##

[2]     Orton, M.;  Fitzgerald, W. “A Bayesian Approach to Tracking Multiple Targets Using Sensor Arrays and Particle Filters”; Signal Processing, IEEE Transactions on; 2005, 50 (2), 216-223.##

[3]     Hue, C.; Le Cadre, J.-P.; Perez, P. “Sequential Monte Carlo Methods for Multiple Target Tracking and Data Fusion”; Signal Processing, IEEE Transactions on; 2002, 50 (2), 309-325.##

[4]     Rezatofighi, S. H.; Gould, S.; Ba Truong, Vo.; Ba-Ngu, Vo.; Mele, K.; Hartley, R. “Multi-Target Tracking With Time-Varying Clutter Rate and Detection Profile: Application to Time-Lapse Cell Microscopy Sequences”; Medical Imaging, IEEE Transactions on. 2015, 34 (6), 1336-1348.##

[5]     Kreucher, C.; Kastella, K.; Hero, A. O. “Multitarget Tracking Using the Joint Multitarget Probability Density”; Aerospace and Electronic Systems, IEEE Transactions on; 2005, 41 (4), 1396- 1414.##

[6]     Vo, B. T.; Vo, B. N. “Labeled Random Finite Sets and Multi-Object Conjugate Priors”; IEEE Transactions on Signal Processing. 2013, 61(13), 3460-3475.##

[7]     Vo, B. N.; Singh, S.; Doucet, A. “Sequential Monte Carlo Methods for Multi-Target Filtering with Random Finite Sets”; IEEE Transactions Aerospace & Electronic Sys-tems. 2005,  41 (4), 1224–1245.##

[8]     Whitley, N.; Singh, S.; Goodwill, S. “Auxiliary Particle Implementation of Probability Hypothesis Density Filter”; in IEEE Trans. Aerospace and Electronic Systems. 2010, 46 (3), 1437–1454.##

[9]     Rustic, B.; Clark,  D.; Vo, B.-N. "Improved SMC Implementation of the PHD Filter."; in Proc. 13th Annual Conf. Information Fusion, Edinburgh, UK, 2010.##

[10]  Vermaak, J.; Goodwill, S. J.; Pérez, P. “Monte Carlo Filtering for Multi Target Tracking and Data Association”; Aerospace and Electronic Systems, IEEE Transactions on. 2005, 41 (1), 309-332.##

[11]  Hue, C.; Le Cadre, J.-P.; Pérez, P. “Tracking Multiple Objects with Particle Filtering”; Aerospace and Electronic Systems, IEEE Transactions on. 2002, 38 (3), 791- 812.##

[12]  Khan, Z.; Bach, T.; Dellaert, F. “Multitarget Tracking with Split and Merged Measurements”; Computer Vision and Pattern Recognition, IEEE Computer Society Conference on. 2005, 1, 605- 610.##

[13]  Jianru, Xue; Nanning, Zhang; Xiaopin, Zhang. “An Integrated Monte Carlo Data Association Framework for Multi-Object Tracking”; Pattern Recognition, 18^th International Conference on. 2006, 1, 703-706.##

[14]  Hwang, R. R.; Huber, M. “A Particle Filter Approach for Multi-Target Tracking”; Intelligent Robots and Systems, IEEE/RSJ International Conference on. 2007, 2753-2760.##

[15]  Scepter, F.; Pang Sze Kim; Carmi, A.; Goodwill, S. “On MCMC-Based Particle Methods for Bayesian Filtering: Application to Multitarget Tracking”; Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 3rd IEEE International Workshop on. 2009, 360-363.##

[16]  Cox, I. J. “A Review of Statistical Data Association Techniques for Motion Correspondence”; International Journal of Computer Vision. 1993, 10, 53–66.##

[17]  Gauvrit, H.; Cadre, J.P.; Jauffret C. “A formulation of Multitarget Tracking As an Incomplete Data Problem”; Aerospace and Electronic Systems, IEEE Transactions on; 1997, 33 (4), 1242-1257.##

[18]  Boers, Y.; Dresden, J. N. “Multitarget Particle Filter Track Before Detect Application”; Radar, Sonar and Navigation, IEE Proceedings. 2004, 151 (6), 351- 357.##

[19]  Moreland, M. R.; Kreucher, C. M.; Kastella, K. “A Bayesian Approach to Multiple Target Detection and Tracking”; Signal Processing, IEEE Transactions on; 2007, 55 (5), 1589-1604.##

[20]  Doucet, A.; Goodwill, S.; Angrier, C. “On sequential Monte Carlo Sampling Methods for Bayesian Filtering”; Stat. Comput. 2000, 10, 197–208.##

[21]  Gilks, W. R.; Richardson, S.; Spiegelhalter,  D. J. “Markov Chain Monte Carlo in Practice”; Chapman and Hall. 1996.##

[22]  Blackman, S.; Popoli, R. “Design and Analysis of Modern Tracking Systems”; Artech House. 1999.##

[23]  Danaee, M. R.; Behnia, F. “Extension of Particle Filters for Time-Varying Target Presence Through Split and Raw Measurements”; Radar, Sonar & Navigation. IET, 2013, 7 (5), 517-526.##

[24]  Genovesio, A.; Olivo-Marin, J.-C. “Split and Merge Data Association Filter for Dense Multi-Target Tracking”; Pattern Recognition, Proceedings of the 17^th International Conference on. 2004, 4, 677- 680.##

[25]  Koch, W.; Van Keuk, G. “Multiple Hypothesis Track Maintenance with Possibly Unresolved Measurements”; Aerospace and Electronic Systems, IEEE Transactions on. 1997, 33 (3), 883-892.##

[26]  Chang, Kuo-Chu.; Bar-Shalom, Y. “Joint Probabilistic Data Association for Multitarget Tracking with Possibly Unresolved Measurements and Maneuvers”; Automatic Control, IEEE Transactions on. 1984, 29 (7), 585- 594.##

[27]  Rotten, M. G.; Gordon, N. J.; Maskell, S. “Recursive Track-Before-Detect with Target Amplitude Fluctuations”; Radar, Sonar and Navigation, IEE Proceedings. 2005, 152 (5), 345- 352.##

[28]  Pitt, M. K.; Shepard, N. “Filtering via Simulation: Auxiliary Particle Filters”; Technical Report, Nuffield College, Oxford University. September 1997.##

[29]  Särkkä, S.; Vehtari, A.; Lampinen, J. “Rao-Blackwellized Oarticle Filter for Multiple Target Tracking”; Information Fusion. 2007, 8 (1), 2-15.##

[30]  Anderson, B. D. O.; Moore, J. B. “Optimal Filtering”; Englewood Cliffs: Prentice-Hall. 1979.##

[31]  Doucet, A.; Vo, B.-N.; Angrier, C.;  Davy, M. “Particle Filtering for Multi-Target Tracking and Sensor Management”; Information Fusion, Proceedings of the Fifth International Conference on. 2002, 1, 474- 481.##

[32]  Bar-Shalom Y. “Tracking and Data Association”; San Diego, CA, USA: Academic Press Professional, Inc. 1987.##

[33]  Khan, Zia; Balch, T.; Dellaert, F. “MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets”; Pattern Analysis and Machine Intelligence, IEEE Transactions on. 2005, 27(11), 1805-1819.

Gilks, W. R.; Berzuini, C. “Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models”; J. R. Statist. Soc. 2001, 63, 127–146.##