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CAIP
2005
Springer

Improvement of a Person Labelling Method Using Extracted Knowledge on Costume

12 years 1 months ago
Improvement of a Person Labelling Method Using Extracted Knowledge on Costume
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, Philippe Joly
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CAIP
Authors Gaël Jaffré, Philippe Joly
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