Multicamera People Tracking Using a Locus-based Probabilistic Occupancy Map

  • Tao Hu
  • Sinan Mutlu
  • Oswald Lanz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)

Abstract

We propose a novel people detection method using a Locus-based Probabilistic Occupancy Map (LPOM). Given the calibration data and the motion edges extracted from all views, the method is able to compute the probabilistic occupancy map for the targets in the scene. We integrate the algorithm into a Bayesian-based tracker and do experiments with challenging video sequences. Experimental results demonstrate the robustness and high-precision of the tracker when tracking multiple people in the presence of clutters and occlusions.

Keywords

people detection multicamera tracking probabilistic occupancy map 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Tao Hu
    • 1
    • 2
  • Sinan Mutlu
    • 1
    • 2
  • Oswald Lanz
    • 1
  1. 1.FBK Fondazione Bruno KesslerPovoItaly
  2. 2.ICT Doctoral SchoolUniversity of TrentoPovoItaly

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