| Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation | |
Fu LR(付连锐) ; Junge Zhang; Kaiqi Huang
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| 2015-12 | |
| 会议名称 | IEEE International Conference on Computer Vision |
| 会议录名称 | Proceeding of IEEE International Conference on Computer Vision |
| 页码 | 1976-1984 |
| 会议日期 | 2015.12.11-2015.12.18 |
| 会议地点 | Santiago, Chile |
| 摘要 | Occlusion is a main challenge for human pose estimation, which is largely ignored in popular tree structure models. The tree structure model is simple and convenient for exact inference, but short in modeling the occlusion coherence especially in the case of self-occlusion. We propose an occlusion aware graphical model which is able to model both self-occlusion and occlusion by the other objects simultaneously. The proposed model structure can encodes the interactions between human body parts and objects, and hence enables it to learn occlusion coherence from data discriminatively. We evaluate our model on several public benchmarks for human pose estimation including challenging subsets featuring significant occlusion. The experimental results show that our method obtains comparable accuracy with the state-of-the-arts, and is robust to occlusion for 2D human pose estimation |
| 关键词 | Graphical Model |
| 收录类别 | EI |
| 语种 | 英语 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/11648 |
| 专题 | 智能感知与计算研究中心 |
| 通讯作者 | Kaiqi Huang |
| 作者单位 | 中国科学院自动化研究所 |
| 第一作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Fu LR,Junge Zhang,Kaiqi Huang. Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation[C],2015:1976-1984. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| [ICCV15_Fu]Beyond Tr（1614KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 | ||
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