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1887

Target Tracking 2004: Algorithms and Applications

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  • Location: Brighton, UK
  • Conference date: 23-24 March 2004
  • ISBN: 0 86341 397 8
  • Conference number: 2004/10566
  • The following topics are dealt with: tracking with persistent, target-related, spurious measurements; practical fusion of quantized measurements via particle filtering; an efficient particle filter for jump Markov nonlinear systems; tracking using a radar and a problem specific proposal distribution in a particle filter; tracking the manoeuvring targets using multiple scan joint probabilistic data association algorithm; multisensor tracking function on modern anti-air-warfare (AAW) frigates; high precision bearings only tracking for manoeuvring targets; an automatic method for eliminating spurious information from sensor networks; data fusion for several Kalman filters tracking a single target; development of a generic multisensor tracking system for agile radars; tracking seismic waves; the fusion of pulse radar and passive infrared data; multicamera object tracking in video surveillance applications; a Bayesian algorithm to address the radar/Esm track association problem; maximum likelihood methods for difficult tracking problems; the H-infinity approach to target tracking; a Monte Carlo simulation based approach to a priori performance prediction for target detection and recognition in cluttered synthetic aperture radar imagery; control of false track rate using multiple hypothesis confirmation; advances in the management of multisensor systems with associated applications; and problems of multiple-target tracking in vision-based applications

20 items found

  • Tracking with persistent, target-related, spurious measurements
  • The H approach to target tracking
  • A Monte Carlo simulation based approach to a priori performance prediction for target detection and recognition in cluttered synthetic aperture radar imagery
  • Control of false track rate using multiple hypothesis confirmation
  • Advances in the management of multi-sensor systems with associated applications
  • Practical fusion of quantized measurements via particle filtering
  • Problems of multiple-target tracking in vision-based applications
  • An efficient particle filter for jump Markov nonlinear systems
  • Distribution in a particle filter
  • Tracking the maneuvering targets using multiple scan joint probabilistic data association algorithm
  • Multi sensor tracking function on modern anti-air-warfare (AAW) frigates
  • On high precision bearings only tracking for manoeuvring targets
  • An automatic method for eliminating spurious data from sensor networks
  • Data fusion for several Kalman filters tracking a single target
  • Development of a generic multi-sensor tracking system for agile radars
  • Tracking seismic waves
  • The advanced protection of vulnerable road users (APVRU) - project information sheet
  • Multicamera object tracking in video surveillance applications
  • A Bayesian algorithm to address the radar/ESM track association problem
  • Maximum likelihood methods for difficult tracking problems
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