Cross-View Gait Recognition with Short Probe Sequences : From View Transformation Model to View-Independent Stance-Independent Identity Vector
文献类型：期刊论文
| 作者 | Maodi Hu; Yunhong Wang; Zhaoxiang Zhang
|
| 刊名 | International Journal of Pattern Recognition and Artificial Intelligence
 |
| 出版日期 | 2013-09-11 |
| 卷号 | 27期号:6页码:1-17 |
| 关键词 | View-independent Stance-independent Gait Recognition Multi-stance Dynamics Short Probe Sequence |
| 英文摘要 | Considering it is difficult to guarantee that at least one continuous complete gait cycle is captured in real applications, we address the multi-view gait recognition problem with short probe sequences. With unified multi-view population hidden markov models (umvpHMMs), the gait pattern is represented as fixed-length multi-view stances. By incorporating the multi-stance dynamics, the well-known view transformation model (VTM) is extended into a multi-linear projection model in a four-order tensor space, so that a view-independent stance-independent identity vector (VSIV) can be extracted. The main advantage is that the proposed VSIV is stable for each subject regardless of the camera location or the sequence length. Experiments show that our algorithm achieves encouraging performance for cross-view gait recognition even with short probe sequences. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13221]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Maodi Hu,Yunhong Wang,Zhaoxiang Zhang. Cross-View Gait Recognition with Short Probe Sequences : From View Transformation Model to View-Independent Stance-Independent Identity Vector[J]. International Journal of Pattern Recognition and Artificial Intelligence,2013,27(6):1-17. |
| APA | Maodi Hu,Yunhong Wang,&Zhaoxiang Zhang.(2013).Cross-View Gait Recognition with Short Probe Sequences : From View Transformation Model to View-Independent Stance-Independent Identity Vector.International Journal of Pattern Recognition and Artificial Intelligence,27(6),1-17. |
| MLA | Maodi Hu,et al."Cross-View Gait Recognition with Short Probe Sequences : From View Transformation Model to View-Independent Stance-Independent Identity Vector".International Journal of Pattern Recognition and Artificial Intelligence 27.6(2013):1-17. |
入库方式： OAI收割
来源：自动化研究所
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