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.
This article is part of the series Image Analysis for Multimedia Interactive Services Part II.
Tracking of Objects in Video Scenes with Time Varying Content
1 IRCCyN UMR 6597 CNRS EPUN, rue Christian Pauc La chantrerie, BP 60601, Nantes 44306, France
2 LABRI, CNRS UMR 5800, Université Bordeaux-1, Talence, 33405, France
EURASIP Journal on Advances in Signal Processing 2002, 2002:750583 doi:10.1155/S1110865702000902
The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2002/6/750583
|Received:||27 July 2001|
|Revisions received:||5 February 2002|
|Published:||26 June 2002|
© 2002 Mahboubi et al.