Hand Posture Recognition Using Kernel Descriptor

In this paper, we propose to investigate the role of a new descriptor named Kernel Descriptor (KDES), recently introduced in1 for hand posture recognition. As the hand posture has it own the color characteristic, we will examine kernel descriptor in diffident color channels such as HSV, RGB, Lab to...

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Bibliographic Details
Published inProcedia computer science Vol. 39; pp. 154 - 157
Main Authors Nguyen, Van-Toi, Le, Thi-Lan, Tran, Thanh-Hai, Mullot, Rémy, Courboulay, Vincent
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2014
Subjects
hand posture recognition
human-robot interaction
kernel descriptor
hand posture recognition
human-robot interaction
kernel descriptor
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Summary:In this paper, we propose to investigate the role of a new descriptor named Kernel Descriptor (KDES), recently introduced in1 for hand posture recognition. As the hand posture has it own the color characteristic, we will examine kernel descriptor in diffident color channels such as HSV, RGB, Lab to find out the most suitable color space for kernel representation of hand posture. We perform extensive experiments on two datasets. The obtained results are promising (97.3% on NUS-2 dataset and 85.0% on our dataset). Thank to the analysis, kernel descriptor is highly recommended for hand posture recognition.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2014.11.023