Open Access

Tracking of Objects in Video Scenes with Time Varying Content

EURASIP Journal on Advances in Signal Processing20022002:750583

Received: 27 July 2001

Published: 26 June 2002


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.


new region extractionlabellingobject indexingforward projection

Authors’ Affiliations

IRCCyN UMR 6597, CNRS EPUN, Nantes, France
LABRI, CNRS UMR 5800, Talence, France


© Mahboubi et al. 2002