A hybrid weighted interacting particle filter for multi-target tracking.

  • Author(s) / Creator(s)
  • A hybrid weighted interacting particle filter, the selectively resampling particle filter (SERP), is used to detect and track multiple ships maneuvering in a region of water. The ship trajectories exhibit nonlinear dynamics and interact in a nonlinear manner such that the ships do not collide. There is no prior knowledge on the number of ships in the region. The observations model a sensor tracking the ships from above the region, as in a low observable SAR or infrared problem. The SERP filter simulates particles to provide the approximated conditional distribution of the signal in the signal domain at a particular time, given the sequence of observations. After each observation, the hybrid filter uses selective resampling to move some particles with low weights to locations that have a higher likelihood of being correct, without resampling all particles or creating bias. Such a method is both easy to implement and highly computationally efficient. Quantitative results recording the capacity of the filter to determine the number of ships in the region and the location of each ship are presented. Thy hybrid filter is compared against an earlier particle filtering method.

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    Conference/Workshop Presentation
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    Copyright 2003 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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    • D.J. Ballantyne, J. Hailes, M.A. Kouritain, H. Long, and J. Wiersma, "A hybrid weighted interacting particle filter for multi-target tracking", in Signal Processing, Sensor Fusion, and Target Recognition XII, 2003 Proceedings of SPIE 5096, 244-255. doi:10.1117/12.488522