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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fujimura, H. Hyoungseop Kim Joo Kooi Tan Ishikawa, S. |
| Copyright Year | 2015 |
| Description | Author affiliation: Gradient of Sch. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan (Fujimura, H.; Hyoungseop Kim; Joo Kooi Tan; Ishikawa, S.) |
| Abstract | Kinect is always used as a device to estimate posture. However, there are difficult to estimate the posture in the case of using a Kinect only. Therefore, we propose a method to estimate more accurately posture by synthesizing the posture obtained by Kinect and estimated by the regression analysis. In the regression analysis, we associate the HOG features and joint parameters that consists of 20 coordinate points. Posture data used for learning of the regression model is used difficult posture be obtained with Kinect. Similarity in brightness between frames at around each joint of the skeleton obtained by regression analysis and Kinect is calculated. Then we synthesize the posture by calculating a weighted average. In addition, RVM regression model is used to improve the accuracy of representing the posture by the proposed method. |
| Starting Page | 1540 |
| Ending Page | 1542 |
| File Size | 597783 |
| Page Count | 3 |
| File Format | |
| ISSN | 20937121 |
| e-ISBN | 9788993215083 |
| DOI | 10.1109/ICCAS.2015.7364600 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-13 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Control, Robotics and Systems - ICROS |
| Subject Keyword | Performance evaluation Kinect Regression Analysis Posture Estimation Brightness Estimation Data models Libraries Mathematical model Integrated circuit modeling Relevance Vector Machine |
| Content Type | Text |
| Resource Type | Article |
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