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Book Chapter
Improvement of a Person Labelling Method Using Extracted Knowledge on Costume
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 3691/2005
Book
Computer Analysis of Images and Patterns
DOI
10.1007/11556121
Copyright
2005
ISBN
978-3-540-28969-2
DOI
10.1007/11556121_60
Pages
489-497
Subject Collection
Computer Science
SpringerLink Date
Tuesday, September 27, 2005
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Improvement of a Person Labelling Method Using Extracted Knowledge on Costume
Gaël Jaffré
1
and Philippe Joly
1
(1)
Université Paul Sabatier, IRIT - Équipe SAMOVA, 31062 Toulouse Cedex 09, France
Abstract
This paper presents a novel approach for automatic person labelling in video sequences using costumes. The person recognition is carried out by extracting the costumes of all the persons who appear in the video. Then, their reappearance in subsequent frames is performed by searching the reappearance of their costume. Our contribution in this paper is a new approach for costume detection, without face detection, that allows the localization of costumes even if persons are not facing the camera. Actually face detection is also used because it presents a very accurate heuristic for costume detection, but in addition in each shot mean shift costume localization is carried out with the most relevant costume when face detection fails. Results are presented with TV broadcasts.
Gaël
Jaffré
Email:
jaffre@irit.fr
Philippe
Joly
Email:
joly@irit.fr
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