Moving Object Segmentation Using Optical Flow and Depth Information

  • Jens Klappstein
  • Tobi Vaudrey
  • Clemens Rabe
  • Andreas Wedel
  • Reinhard Klette
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object detection is based on motion analysis of individually tracked image points (optical flow), providing a motion metric which corresponds to the likelihood that the tracked point is moving. Based on this metric, points are segmented into objects by employing a globally optimal graph-cut algorithm. Both approaches are comparatively evaluated using real-world vehicle image sequences.

Keywords

Motion detection optical flow stereo segmentation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jens Klappstein
    • 1
  • Tobi Vaudrey
    • 2
  • Clemens Rabe
    • 1
  • Andreas Wedel
    • 1
  • Reinhard Klette
    • 2
  1. 1.Environment Perception Group, Daimler AGSindelfingenGermany
  2. 2.enpeda.. ProjectThe University of AucklandNew Zealand

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