2011 Fiscal Year Final Research Report
Computer Vision by Tracking and Recognition
| Project/Area Number |
20300067
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Okayama University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
MIGITA Tsuyoshi 岡山大学, 大学院・自然科学研究科, 助教 (90362954)
YAMANE Ryo 岡山大学, 大学院・自然科学研究科, 助手 (00362955)
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| Research Collaborator |
OKA Yuki 岡山大学, 自然科学研究科
SETO Hiroyuki 岡山大学, 自然科学研究科
CHUGAN Hisayoshi 岡山大学, 自然科学研究科
SHINOMIYA Yohei 岡山大学, 自然科学研究科
KOBAYASHI Hiroaki 岡山大学, 自然科学研究科
SAWADA Yusuke 岡山大学, 自然科学研究科
TAGUCHI Tomoyuki 岡山大学, 自然科学研究科
HISATSUNE Akihiro 岡山大学, 自然科学研究科
TAKEMURA Kazumichi 岡山大学, 自然科学研究科
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| Project Period (FY) |
2008 – 2011
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| Keywords | 追跡・認識融合 / 疎テンプレート追跡 / 粗密探索法 / 拡張固有空間 / 照明適応 |
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| Research Abstract |
Although many recognition problems have been solved frame by frame in the conventional computer vision systems, more efficient and effective vision systems are desired for developing possible applications in the future. A novel approach to computer vision is proposed in this research by introducing a unified framework of tracking and recognition. In our approach, three typical recognition problems have been discussed in the unified framework based on an efficient object tracking technique. Finally, we have shown the effectiveness of our approach by creating a human interface including the face motion tracking, face recognition and expression recognition in the unified system.
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