Title :
Skill recognition
Author :
Yamamoto, Masanobu ; Kondo, Takuya ; Yamagiwa, Takashi ; Yamanaka, Kouii
Author_Institution :
Dept. of Inf. Eng., Niigata Univ., Japan
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;
Conference_Titel :
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location :
Nara
Print_ISBN :
0-8186-8344-9
DOI :
10.1109/AFGR.1998.671014
