| Project/Area Number |
15K01102
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Educational technology
|
|---|
| Research Institution | Kindai University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
OCHI Youji 近畿大学, 理工学部, 准教授 (80314847)
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥390,000 (Direct Cost: ¥300,000、Indirect Cost: ¥90,000)
|
|---|
| Keywords | スポーツ / 振り返り学習 / ビデオ映像 / シーン検出 / 3D点群 / ポイントマッチング / ホモグラフィ変換 / 三次元復元 / 空手道競技 / 振り返り学習支援 / 映像検索 / ３D点群 / 幾何学的制約 / 3Dポイントマッチング |
|---|
| Outline of Final Research Achievements |
We have developed a pose detection method by three dimensional (3D) point cloud matching between a player and a sample, and also have developed an offensive motion detection method based on the time rate of change of the variance of point cloud of two players. Thus, the study makes it possible to detect objective scene from video images taken with RGBD-camera for learning martial arts techniques by video observation.
Next, in order to enable motion observation from an arbitrary angle, we developed a basic method for generating a 3D model of a player by estimating the three dimensional coordinates of the player's joints from video images. We also developed a method to generate bird's-eye view images of foot positions on a floor by the homography transformation for the observation of players' footwork.
|
