• Diagnosis and Prognosis of Scrubber Faults for Underwater Rebreathers based on Stochastic Event Models 

      Chang, Dongsik; Zhang, Fumin; West, Michael (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-06)
      Imperfect CO₂ removal mechanisms of CO₂ scrubbers often lead to the existence of CO₂ in gas inhaled by a diver from underwater rebreathers. This may cause CO₂ related rebreather faults and subsequently would increase ...
    • Efficient Particle Filter-Based Tracking of Multiple Interacting Targets Using an MRF-based Motion Model 

      Balch, Tucker; Dellaert, Frank; Khan, Zia (Georgia Institute of Technology, 2003)
      We describe a multiple hypothesis particle filter for tracking targets that will be influenced by the proximity and/or behavior of other targets. Our contribution is to show how a Markov random field motion prior, built ...
    • Efficient Particle Filter-Based Tracking of Multiple Interacting Targets Using an MRF-based Motion Model 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-10)
      We describe a multiple hypothesis particle filter for tracking targets that will be influenced by the proximity and/or behavior of other targets. Our contribution is to show how a Markov random field motion prior, built ...
    • MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-12)
      In several multitarget tracking applications, a target may return more than one measurement per target and interacting targets may return multiple merged measurements between targets. Existing algorithms for tracking and ...
    • MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005)
      We describe a particle filter that effectively deals with interacting targets - targets that are influenced by the proximity and/or behavior of other targets. The particle filter includes a Markov random field (MRF) ...
    • Multitarget Tracking with Split and Merged Measurements 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005-06)
      In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with previously estimated target trajectories in ...
    • Online Probabilistic Topological Mapping 

      Ranganathan, Ananth; Dellaert, Frank (Georgia Institute of TechnologySAGE Publications, 2011-01-24)
      We present a novel algorithm for topological mapping, which is the problem of finding the graph structure of an environment from a sequence of measurements. Our algorithm, called Online Probabilistic Topological ...
    • A Rao-Blackwellized Particle Filter for EigenTracking 

      Khan, Zia; Balch, Tucker; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-06)
      Subspace representations have been a popular way to model appearance in computer vision. In Jepson and Black’s influential paper on EigenTracking, they were successfully applied in tracking. For noisy targets, optimi ...