On line Bayesian tracking and detection of multiple objects

Keywords

Particle filter, Clutter, Computer vision, Artificial intelligence, Computer science

References

• Statistical Multisource-Multitarget Information FusionRonald Mahler — 2007
• Tracking of feature points in image sequence by SMC implementation of PHD filterNorikazu Ikoma, Tsuyoshi Uchino, Hiroshi Maeda — 2004
• Particle PHD filter multiple target tracking in sonar imageTaikyeong Jeong — 2007
• Object tracking: A surveyAlper Yılmaz, Omar Javed, Mubarak Shah — 2006
• Multitarget Bayes filtering via first-order multitarget momentsRonald Mahler — 2003
• BraMBLe: a Bayesian multiple-blob trackerMichael Isard, John MacCormick — 2001
• Tracking a Variable Number of Human Groups in Video Using Probability Hypothesis DensityYadong Wang, Jiankang Wu, Ashraf A. Kassim — 2006
• Background subtraction techniques: a reviewMassimo Piccardi — 2004
• Convergence results for the particle PHD filterDaniel E. Clark, J. S. Bell — 2006
• Multi-target particle filtering for the probability hypothesis densityHedvig Sidenbladh — 2003
• The Gaussian Mixture Probability Hypothesis Density FilterBa‐Ngu Vo, Wing‐Kin Ma — 2006
• Particle PHD Filtering for Multi-Target Visual TrackingEmilio Maggio, Elisa Piccardo, Carlo S. Regazzoni — 2007
• Sequential Monte Carlo methods for multitarget filtering with random finite setsBa‐Ngu Vo, Sumeetpal S. Singh, A. Boucet — 2005

Cited by

• State Estimation and Smoothing for the Probability Hypothesis Density FilterSergio I. Hernandez — 2010
• State Estimation and Smoothing for the Probability Hypothesis Density FilterSergio I. Hernandez — 2010

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