DocumentCode
2865102
Title
Skill recognition
Author
Yamamoto, Masanobu ; Kondo, Takuya ; Yamagiwa, Takashi ; Yamanaka, Kouii
Author_Institution
Dept. of Inf. Eng., Niigata Univ., Japan
fYear
1998
fDate
14-16 Apr 1998
Firstpage
604
Lastpage
609
Abstract
This paper proposes a method for the recognition of skill in skiing from an image sequence. This method consists of two stages. The first stage estimates motion parameters, which are displacements of the pose of the skier, from the image sequence using a model-based trading method. The second stage evaluates some bases, which describes skill, from the motion parameters. Experimental results on real image sequences show that higher evaluated value corresponds to more skilfulness. This means that our computational approach can recognize skill like human intuition
Keywords
computer vision; image recognition; image sequences; motion estimation; sport; computational approach; computer vision; displacements; human intuition; image sequence; model-based trading method; motion parameter estimation; skiing; skill recognition; Angular velocity; Arm; Biological system modeling; Head; Humans; Image recognition; Image sequence analysis; Image sequences; Motion estimation; Parameter estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location
Nara
Print_ISBN
0-8186-8344-9
Type
conf
DOI
10.1109/AFGR.1998.671014
Filename
671014
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