2011 Fiscal Year Final Research Report
A study on statistical feature extraction from three-dimensional spatio-temporal data
| Project/Area Number |
21700214
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
KOBAYASHI Takumi 独立行政法人産業技術総合研究所, 情報技術研究部門, 研究員 (30443188)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 特徴抽出 / 時空間データ / 動画像認識 / 画像認識 |
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| Research Abstract |
In this study, we have proposed novel methods to extract features from spatio-temporal data for motion/image classifications. Those methods are based on co-occurrences of primitive descriptors in local neighborhoods in the spatio-temporal domain. By employing as the descriptors the space-time gradients and local feature vectors, we obtain the effective features to describe motions and images. In the experiments on motion/image classifications, the proposed methods exhibited favorable performances.
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