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People Reacquisition across Multiple Cameras with Disjoint Views

  • D. -N. Truong Cong
  • L. Khoudour
  • C. Achard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)

Abstract

This research consists in developing a system for discontinued tracking moving people across large sites with non-overlapping views. Firstly, in order to characterize the silhouette of an individual, we propose an appearance-based model which includes both colour and spatial feature of extracted silhouette. Once all the appearance information of each passage is extracted, a robust classification procedure is then presented to make the final decision of re-identification. The performance of the system is evaluated on two real datasets collected in difficult conditions. The experimental results show that the proposed system leads to very satisfactory results.

Keywords

Linear Discriminant Analysis Gaussian Mixture Model Real Dataset Colour Histogram Equal Error Rate 
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 2010

Authors and Affiliations

  • D. -N. Truong Cong
    • 1
  • L. Khoudour
    • 1
  • C. Achard
    • 2
  1. 1.French National Institute for Transport and Safety Research (INRETS)Villeneuve d’AscqFrance
  2. 2.UPMC Univ Paris 06Institute of Intelligent Systems and Robotics (ISIR)IVRY SUR SEINEFrance

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