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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chenguang Liu Jiafeng Liu Jianhua Huang Xianglong Tang |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science, Harbin Institute of Technology, China (Chenguang Liu; Jiafeng Liu; Jianhua Huang; Xianglong Tang) |
| Abstract | In this paper, we put forward a concept of Local Multi-connected Belief Propagation (LMBP) and apply it on a 2D body model to capture 2D image coordinates of the human body joints. When performing the likelihood measurement, three different image features are fused adaptively to construct the likelihood function. And then, we lift the 2D tracking results to 3D human poses by utilizing Tylor method. The proposed method is then applied to several video sequences which contain different subjects, challenging human motions and complex backgrounds, and the tracking results indicate its effectiveness. |
| Starting Page | 478 |
| Ending Page | 482 |
| File Size | 1221515 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465828 |
| e-ISBN | 9781424465859 |
| DOI | 10.1109/ICICISYS.2010.5658593 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | 3D Human motion tracking Human body model Adaptive multiple features fusion Constrained 2D Local multi-connected belief propagation (LMBP) |
| Content Type | Text |
| Resource Type | Article |
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