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Multi-camera People Localization and Height Estimation Using Multiple Birth-and-Death Dynamics

  • Ákos Utasi
  • Csaba Benedek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6468)

Abstract

This paper presents a novel tool for localizing people in multi-camera environment using calibrated cameras. Additionally, we will estimate the height of each person in the scene. Currently, the presented method uses the human body silhouettes as input, but it can be easily modified to process other widely used object (e.g. head, leg, body) detection results. In the first step we project all the pixels of the silhouettes to the ground plane and to other parallel planes with different height. Then we extract our features, which are based on the physical properties of the 2-D image formation. The final configuration results (location and height) are obtained by an iterative stochastic optimization process, namely the multiple birth-and-death dynamics framework.

Keywords

Ground Plane Camera View Multiple Camera Height Estimation Crowded Scene 
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 2011

Authors and Affiliations

  • Ákos Utasi
    • 1
  • Csaba Benedek
    • 1
  1. 1.Computer and Automation Research Institute, Distributed Events Analysis Research GroupHungarian Academy of SciencesBudapestHungary

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