Multisubjects Tracking by Time-of-Flight Camera

  • Piercarlo Dondi
  • Luca Lombardi
  • Luigi Cinque
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)

Abstract

Time-of-Flight cameras are the state of art sensors for a fast detection of depth data in a scene. This kind of sensors can be very useful for tracking, in particular in indoor ambient, since, using light in near-infrared spectrum, they are less affected by abrupt change in illumination. In this paper we propose a new method for the tracking of multiple subjects based on Kalman filter. The first step of our solution is a ToF based foreground segmentation, that retrieves all significant clusters in the scene, followed by a robust tracking system able to correctly handle occlusions and possible merging between clusters.

Keywords

Tracking Time-of-Flight camera 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Piercarlo Dondi
    • 1
  • Luca Lombardi
    • 1
  • Luigi Cinque
    • 2
  1. 1.Department of Electrical, Computer and Biomedical EngineeringUniversity of PaviaPaviaItaly
  2. 2.Department of Computer ScienceSapienza University of RomeRomaItaly

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