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Tracking of Moving Heads in Cluttered Scenes from Stereo Vision

  • Ruijiang Luo
  • Yan Guo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1998)

Abstract

Tracking a number of persons moving in cluttered scenes is an important issue in computer vision. It is the first step of automatic video-based surveillance systems. In this paper we present a binocular vision system using stereo information for moving head detection and tracking. After background subtraction, the remained foreground disparity image is used as a mask to delete background clutter as well as to reduce the search space, which greatly improve the tracking performance when occlusion happens. With a local sampling method together with the stereo information obtained, we are now able to reliably detect and track people in cluttered natural environments at about 5 Hz on standard PC hardware.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Ruijiang Luo
    • 1
  • Yan Guo
    • 1
  1. 1.RWCP (Real World Computing Partnership)Multi-Modal Functions KRDL (Kent Ridge Digital Labs) LabSingaporeRepublic of Singapore

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