• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Multi-level 3D-tracking of objects integrating velocity estimation based on optical flow and Kalman-filtering
 
  • Details
  • Full
Options
1995
Conference Paper
Title

Multi-level 3D-tracking of objects integrating velocity estimation based on optical flow and Kalman-filtering

Abstract
This contribution describes an extensively tested approach to threedimensional tracking of a known polyhedral object at two levels of visual robot control, a position-based tracking level and a velocity-based tracking level. At the higher position-based level, an iterated extended Kalman-Filter is used to track a workpiece at a control-cycle of about two hundred milliseconds. This slower cycle operates on top of the video-rate tracking-loop of the velocity-based tracking level. While features such as vertices, edges, and ellipses extracted from gray-value images are used to adjust the 3D pose-estimate at the higher level of control, optical flow is used to initialise the velocity parameters of the upper level and to locally update poses at the lower level.
Author(s)
Tonko, M.
Schäfer, K.
Gengenbach, V.
Nagel, H.-H.
Mainwork
ISER '95. Fourth International Symposium on Experimental Robotics. Preprints  
Conference
International Symposium on Experimental Robotics 1995  
Language
English
IITB  
Keyword(s)
  • automatic disassembly

  • kalman-filtering

  • optical flow

  • real-time vision

  • vision-based robot control

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024