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Privacy Preserving Multi-target Tracking

  • Anton MilanEmail author
  • Stefan Roth
  • Konrad Schindler
  • Mineichi Kudo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9010)

Abstract

Automated people tracking is important for a wide range of applications. However, typical surveillance cameras are controversial in their use, mainly due to the harsh intrusion of the tracked individuals’ privacy. In this paper, we explore a privacy-preserving alternative for multi-target tracking. A network of infrared sensors attached to the ceiling acts as a low-resolution, monochromatic camera in an indoor environment. Using only this low-level information about the presence of a target, we are able to reconstruct entire trajectories of several people. Inspired by the recent success of offline approaches to multi-target tracking, we apply an energy minimization technique to the novel setting of infrared motion sensors. To cope with the very weak data term from the infrared sensor network we track in a continuous state space with soft, implicit data association. Our experimental evaluation on both synthetic and real-world data shows that our principled method clearly outperforms previous techniques.

Keywords

Sensor Response Infrared Sensor Surveillance Camera Indoor Scenario Multiple Hypothesis Tracker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Supplementary material

Supplementary material (mp4 9,982 KB)

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Anton Milan
    • 1
    Email author
  • Stefan Roth
    • 2
  • Konrad Schindler
    • 3
  • Mineichi Kudo
    • 4
  1. 1.School of Computer ScienceUniversity of AdelaideAdelaideAustralia
  2. 2.Department of Computer ScienceTU DarmstadtDarmstadtGermany
  3. 3.Photogrammetry and Remote SensingETH ZürichZürichSwitzerland
  4. 4.Division of Computer ScienceHokkaido UniversitySapporoJapan

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