Sequential monte carlo implementation of the phd filter for multi-target tracking

By B. Vo, Sumeetpal S. Singh, Arnaud Doucet. Sixth International Conference of Information Fusion, 2003. Proceedings of the, 2003

337 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/ffd23f2f8dfe2766ecbe43645ec35115a7327c1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. B. Vo
2. Wing-Kin Ma
3. Marc Fuentes
4. Pierrick Legrand
5. Pierre Del Moral
6. Adrien Todeschini
7. F. Caron
8. Jason L. Williams

In Statistical and Nonlinear Physics

1. Wing-Kin Ma
2. B. Vo

Citations in the corpus

• The Gaussian Mixture Probability Hypothesis Density Filter (2006, methodology): “Sequential Monte Carlo implementations can be found in [16], [17], [19], [20].”
• Biips: Software for Bayesian Inference with Interacting Particle Systems (2014, background): “They have found numerous applications in signal filtering and robotics (Thrun et al. 2001; Gustafsson et al. 2002; Vermaak et al. 2002; Vo et al. 2003; Ristic et al. 2004; Caron et al. 2007), systems biology (Golightly and Wilkinson 2006, 2011; Bouchard-Côté et al.”
• Sequential Monte Carlo methods for multitarget filtering with random finite sets (2005, neutral): “This algorithm was first described in [46].”