Open Access

Tracking of Objects in Video Scenes with Time Varying Content

EURASIP Journal on Advances in Signal Processing20022002:750583

DOI: 10.1155/S1110865702000902

Received: 27 July 2001

Published: 26 June 2002

Abstract

We propose a method for tracking of objects contained in video sequences. Each video object is represented by a set of polygonal regions. A bottom up approach (spatial segmentation/motion estimation) is applied for the initialisation of the method, a limited human interaction is used to build the semantic map of the first frame in video sequence. The tracking of this model along a video sequence is based on detecting and indexing new objects in a video scene. Semantic rules are used to label new objects and, the current state of segmentation is validated by forward projection of the background.

Keywords

new region extraction labelling object indexing forward projection

Authors’ Affiliations

(1)
IRCCyN UMR 6597, CNRS EPUN
(2)
LABRI, CNRS UMR 5800

Copyright

© Mahboubi et al. 2002