Sequential Monte Carlo methods for multiple target tracking and data fusion

By Carine Hue, Jean-Pierre Le Cadre, Patrick Pérez. IEEE Transactions on Signal Processing, 2002

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Particle filtering algorithms for tracking an acoustic source in a reverberant environment (2003, background): “Related work on using particle filters to track multiple moving targets can be found in [ 5 ].”
Approaches to Multisensor Data Fusion in Target Tracking: A Survey (2006, methodology): “Since then, several variants of this bootstrap have been developed, such as versions for multitarget tracking [79], [80] and for maneuvering targets using an IMM PF approach [81], [82], [83].”
Joint Detection and Estimation of Multiple Objects From Image Observations (2010, background): “when combined with point measurement based approaches to multi-target tracking [1], [2], [7], [10], [11], [13], [23]–[25] can be very effective for a wide range of applications.”
The Gaussian Mixture Probability Hypothesis Density Filter (2006, methodology): “Up to date overviews are also available in more recent works such as [3]–[5].”