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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jongsung Kim Myunggyu Kim |
| Copyright Year | 2015 |
| Description | Author affiliation: Visual Contents Res. Dept., ETRI, Daejeon, South Korea (Jongsung Kim; Myunggyu Kim) |
| Abstract | This paper proposes a marker-free motion capture system to track articulated human motion using a new sum-of-Gaussian particle filter (SOG-PF) algorithm. The proposed motion capture system records multi-view color image sequences of human motion with synchronized multiple cameras. Then, the new SOG-PF algorithm that effectively combines 3D and 2D SOG models with a particle filter algorithm is adopted to track articulated human motion from multi-view color image sequences without visual markers. The performance of the proposed system is verified with real experiments. |
| Starting Page | 80 |
| Ending Page | 82 |
| File Size | 907602 |
| Page Count | 3 |
| File Format | |
| e-ISBN | 9781467371162 |
| DOI | 10.1109/ICTC.2015.7354499 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-28 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Solid modeling Multi-view image Three-dimensional displays Tracking Image color analysis Sum-of-Gaussians Color Cameras Particle filtering Particle filters Multiple cameras Marker-free motion capture |
| Content Type | Text |
| Resource Type | Article |
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