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A Fast Method for Tracking People with Multiple Cameras

  • Alparslan Yildiz
  • Yusuf Sinan Akgul
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6553)

Abstract

We propose a multi-camera method to track several persons using constraints from the epipolar and projective geometries. The method is very accurate, fast, and simple. We first compute accumulator images for each time frame that shows the probability of object positions on the ground. We developed a voting based method that allows employment of the integral images to make the accumulator computation very fast. Next, we perform two-pass 3D tracking on the volume generated by stacking these accumulator images. Our main contributions are the fast computation of the accumulator images and application of fast 3D tracking methods like the Kalman Smoother instead of the computationally expensive methods like the Viterbi algorithm.

The proposed tracking method is evaluated on people videos captured using four synchronized cameras.

Keywords

Ground Plane Object Position Integral Image Multiple Camera Epipolar Geometry 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Alparslan Yildiz
    • 1
  • Yusuf Sinan Akgul
    • 1
  1. 1.Vision Lab. Gebze Institute of TechnologyTurkey

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