Sub-sample swapping for sequential Monte Carlo approximation of high-dimensional densities in the context of complex object tracking

DOI10.1016/J.IJAR.2013.03.002zbMath1316.68205OpenAlexW2102991613MaRDI QIDQ2353928

Séverine Dubuisson, Xuan Son Nguyen, Christophe Gonzales

Publication date: 10 July 2015

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://hal.sorbonne-universite.fr/hal-00820473/file/ijar.pdf

zbMATH Keywords

dynamic Bayesian networksparticle filter\(d\)-separationobject trackingdensity approximation

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Machine vision and scene understanding (68T45)

Cites Work

• Predicting articulated human motion from spatial processes
• 3D human motion tracking based on a progressive particle filter
• A probabilistic exclusion principle for tracking multiple objects
• Constructing Free-Energy Approximations and Generalized Belief Propagation Algorithms
• Tracking and Modeling People in Video Sequences
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