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Multi-step Multi-camera View Planning for Real-Time Visual Object Tracking

  • Benjamin Deutsch
  • Stefan Wenhardt
  • Heinrich Niemann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4174)

Abstract

We present a new method for planning the optimal next view for a probabilistic visual object tracking task. Our method uses a variable number of cameras, can plan an action sequence several time steps into the future, and allows for real-time usage due to a computation time which is linear both in the number of cameras and the number of time steps. The algorithm can also handle object loss in one, more or all cameras, interdependencies in the camera’s information contribution, and variable action costs.

We evaluate our method by comparing it to previous approaches with a prerecorded sequence of real world images.

Keywords

View Planning Object Tracking State Probability Distribution Observation Function Calibration Pattern 
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 2006

Authors and Affiliations

  • Benjamin Deutsch
    • 1
  • Stefan Wenhardt
    • 1
  • Heinrich Niemann
    • 1
  1. 1.Chair for Pattern RecognitionUniversity of Erlangen-Nuremberg 

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