Open Access

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

  • Stéphanie Jehan-Besson1Email author,
  • Michel Barlaud1 and
  • Gilles Aubert2
EURASIP Journal on Advances in Signal Processing20022002:695703

DOI: 10.1155/S1110865702203157

Received: 26 July 2001

Published: 26 June 2002


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.


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

Authors’ Affiliations

Laboratoire I3S, CNRS UNSA
Laboratoire J. A. Dieudonné, CNRS


© Jehan-Besson et al. 2002