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  • Research Article
  • Open Access

A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection

  • 1Email author,
  • 1 and
  • 2
EURASIP Journal on Advances in Signal Processing20022002:695703

https://doi.org/10.1155/S1110865702203157

  • Received: 26 July 2001
  • Published:

Abstract

We propose a 3-step algorithm for the automatic detection of moving objects in video sequences using region-based active contours. First, we introduce a very full general framework for region-based active contours with a new Eulerian method to compute the evolution equation of the active contour from a criterion including both region-based and boundary-based terms. This framework can be easily adapted to various applications, thanks to the introduction of functions named descriptors of the different regions. With this new Eulerian method based on shape optimization principles, we can easily take into account the case of descriptors depending upon features globally attached to the regions. Second, we propose a 3-step algorithm for detection of moving objects, with a static or a mobile camera, using region-based active contours. The basic idea is to hierarchically associate temporal and spatial information. The active contour evolves with successively three sets of descriptors: a temporal one, and then two spatial ones. The third spatial descriptor takes advantage of the segmentation of the image in intensity homogeneous regions. User interaction is reduced to the choice of a few parameters at the beginning of the process. Some experimental results are supplied.

Keywords

  • detection of moving objects
  • video sequences analysis
  • region-based active contours
  • level-set method

Authors’ Affiliations

(1)
Laboratoire I3S, CNRS UNSA, 2000 route des Lucioles, Sophia Antipolis, 06903, France
(2)
Laboratoire J. A. Dieudonné, CNRS, Parc Valrose, Nice Cedex 2 06108, France

Copyright

© Jehan-Besson et al. 2002

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