3D Tracking Using Multi-view Based Particle Filters

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Advanced Concepts for Intelligent Vision Systems Conference

• Publication date

  2008-10-20

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-540-88458-3_71
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Multicamera People Tracking with a Probabilistic Occupancy Map

  2008cited by this paper
• Digital image processing, 3rd Edition

  2008cited by this paper
• Multiple view geometry in computer vision (2. ed.)

  2006cited by this paper
• Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking

  2005cited by this paper
• A survey on visual surveillance of object motion and behaviors

  2004cited by this paper
• A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

  2002influential reference
• Multi view image surveillance and tracking

  2002cited by this paper
• Towards vision-based 3-D people tracking in a smart room

  2002cited by this paper
• Multi-camera multi-person tracking for EasyLiving

  2000cited by this paper
• On sequential Monte Carlo sampling methods for Bayesian filtering

  2000cited by this paper
• CONDENSATION—Conditional Density Propagation for Visual Tracking

  1998cited by this paper

• Performance evaluation of a 3D multi-view-based particle filter for visual object tracking using GPUs and multicore CPUs

  2018cites this paper