| Project/Area Number |
21500171
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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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 | Wakayama University |
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Principal Investigator |
WU Haiyuan 和歌山大学, システム工学部, 教授 (70283695)
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| Co-Investigator(Kenkyū-buntansha) |
CHEN Qian 和歌山大学, システム工学部, 准教授 (70263233)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2009: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | コンピュータビジョン / 高臨場感中継 / ビデオレー / 対象追跡 / 能動カメラ / 広視野・高精細 / ビデオレート |
|---|
| Research Abstract |
In this research, we propose automatic attention player(hair, face and head) detection and tracking system at video-rate by using Kinect to capture color and depth information. Our system has the following three ideas simultaneously : 1) Using a 6D feature vector to describe both the 3D color feature and 3D geometric feature of each pixel uniformly. 2) Classifying pixels in images into foreground(e. g. hair, face or head) and background with K-means clustering algorithm. 3) Automatic learning and updating the cluster centers of foreground and background before and during hair tracking. This ability makes our system can track hairs robustly, which does not depend on its hair color and style, even under lighting change, and even before a background with similar color of hair. Our system becomes a face(or head) tracking system if the face(face and hair) is set as foreground.
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