@article{1468428,
      recid = {1468428},
      author = {Stone, Lawrence D., and Streit, Roy L. and Anderson,  Stephen Lynn,},
      title = {Introduction to Bayesian tracking and particle filters /},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource},
      year = {2023},
      abstract = {This book provides a quick but insightful introduction to  Bayesian tracking and particle filtering for a person who  has some background in probability and statistics and  wishes to learn the basics of single-target tracking. It  also introduces the reader to multiple target tracking by  presenting useful approximate methods that are easy to  implement compared to full-blown multiple target trackers.  The book presents the basic concepts of Bayesian inference  and demonstrates the power of the Bayesian method through  numerous applications of particle filters to tracking and  smoothing problems. It emphasizes target motion models that  incorporate knowledge about the targets behavior in a  natural fashion rather than assumptions made for  mathematical convenience. The background provided by this  book allows a person to quickly become a productive member  of a project team using Bayesian filtering and to develop  new methods and techniques for problems the team may face.},
      url = {http://library.usi.edu/record/1468428},
      doi = {https://doi.org/10.1007/978-3-031-32242-6},
}