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Design of a morphological moving object signature and application to human identification
Barnich, Olivier; Van Droogenbroeck, Marc
2009In International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009)
Peer reviewed
 

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Keywords :
Video; Gait; Recognition
Abstract :
[en] Many computer vision systems try to infer semantic information about a video scene content by looking at the time series of the silhouettes of the moving objects. This paper proposes a new inter-frame feature set (signature) based on piecewise surfacic descriptions of binary silhouettes. It captures the dynamics of moving objects and compacts it into a robust set of features suitable for classification. To assess its ability to represent motion information, we use it to build a complete gait recognition algorithm that we test on a database of 21 different subjects. To highlight the efficiency of our signature, we use frontal views instead of side views of persons, which is less discussed in literature and is considered to be harder as the movement of legs is not visible. In that context, the high recognition rates obtained (over 95% of correct identifications) proves that our signature is appropriate to describe moving objects.
Research Center/Unit :
Intelsig
Telim
Disciplines :
Electrical & electronics engineering
Author, co-author :
Barnich, Olivier ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Techniques du son et de l'image
Van Droogenbroeck, Marc  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Télécommunications
Language :
English
Title :
Design of a morphological moving object signature and application to human identification
Publication date :
April 2009
Event name :
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009)
Event organizer :
IEEE
Event place :
Taipei, Taiwan
Event date :
04-2009
Audience :
International
Main work title :
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009)
Pages :
853-856
Peer reviewed :
Peer reviewed
Name of the research project :
Auralias
Funders :
DGTRE - Région wallonne. Direction générale des Technologies, de la Recherche et de l'Énergie
Available on ORBi :
since 04 May 2009

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