書誌事項
- タイトル別名
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- 2A1-F20 Computer Vision-Based Household Object Recognition System
抄録
In this paper, we propose a household object recognition system based on computer vision. In our system, detailed images of object are acquired with four pan-tilt cameras fixed at the ceil of the room. The object is identified from these images, and the object's position is managed by using the recognition result. Also, the system presents the position of the household objects by user's request. This paper presents a robust object recognition method for changes of object size, angle, direction in images by using SIFT feature and object template images captured from various directions. Our experiment with 41 objects showed that precision was 0.94, recall was 0.66, and F-measure was 0.75.
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2008 (0), _2A1-F20_1-_2A1-F20_4, 2008
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390001205934143872
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- NII論文ID
- 110008696341
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可