Image-based multi-target tracking through multi-bernoulli filtering with interactive likelihoods

HIGHLIGHTS

  • who: Anthony Hoak et al. from the Department of Electrical and Computer Engineering, Marquette University, WWisconsin Ave have published the Article: Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods, in the Journal: (JOURNAL)
  • what: The authors develop an interactive likelihood (ILH) for sequential Monte Carlo (SMC) methods for image-based multiple target tracking applications. The authors evaluate the performance of the multi-Bernoulli filter with the ILH and the pedestrian detector in a number of publicly available datasets (2003 PETS INMOVE Australian Rules Football League (AFL) and TUD-Stadtmitte) using standard . . .

     

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