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Gesture Recognition using Direction Edge Images
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- MUKAI Toshiro
- Tsukuba Research Center, Real World Computing Partnership
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- NISHIMURA Takuichi
- Tsukuba Research Center, Real World Computing Partnership
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- NAGAYA Shigeki
- Tsukuba Research Center, Real World Computing Partnership
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- NAKAZAWA Masayuki
- Tsukuba Research Center, Real World Computing Partnership
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- OKA Ryuuichi
- Tsukuba Research Center, Real World Computing Partnership
Bibliographic Information
- Other Title
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- 方向エッジを用いたジェスチャ認識
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Description
We propose the feature extracted from the direction edge images using Sobel filters for gesture recognition in this paper. We can recognize from connectivity of direction of movement of gesture. Direction edge feature is feature vector that elements are total number of pixcel satisfied with condition in 8 direction edge images. We can recognize a gesture from fluctuation of special feature vector. In this paper, we describe about direction edge feature and report some gesture recognition experiment results.
Journal
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- Technical report of IEICE. HIP
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Technical report of IEICE. HIP 96 (115), 71-74, 1996-06-20
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1570291227509488768
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- NII Article ID
- 110003272171
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- NII Book ID
- AN10487237
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- Text Lang
- ja
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- Data Source
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- CiNii Articles