3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicopter

  • Matthieu Molinier
  • Tuomas Häme
  • Heikki Ahola
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)

Abstract

The aim of the study was to develop methods for moving vehicle tracking in aerial image sequences taken over urban areas. The first image of the sequence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisation artifacts and tracked, with a simple tracker based on spatiotemporal connected components analysis. While the techniques used were basic, the results turned out to be encouraging, and several improvements are under scrutiny.

Keywords

Background Subtraction Camera Motion Speed Estimation Aerial Imagery Move Object Detection 
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 2005

Authors and Affiliations

  • Matthieu Molinier
    • 1
  • Tuomas Häme
    • 1
  • Heikki Ahola
    • 1
  1. 1.Remote Sensing GroupVTT Technical Research Center of FinlandFinland

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