Gait-Based Gender Classification Using Mixed Conditional Random Field
文献类型：期刊论文
| 作者 | Maodi Hu; Yunhong Wang; Zhaoxiang Zhang ; De Zhang
|
| 刊名 | IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics,
 |
| 出版日期 | 2011-05-27 |
| 卷号 | 41期号:5页码:1429-1439 |
| 关键词 | Stance Index Gait Analysis Gender Classification Human Motion Markov Property Mixed Conditional Random Field (Crf) (mCrf) Shape Descriptor |
| 英文摘要 | This paper proposes a supervised modeling approach for gait-based gender classification. Different from traditional temporal modeling methods, male and female gait traits are competitively learned by the addition of gender labels. Shape appearance and temporal dynamics of both genders are integrated into a sequential model called mixed conditional random field (CRF) (MCRF), which provides an open framework applicable to various spatiotemporal features. In this paper, for the spatial part, pyramids of fitting coefficients are used to generate the gait shape descriptors; for the temporal part, neighborhood-preserving embeddings are clustered to allocate the stance indexes over gait cycles. During these processes, we employ evaluation functions like the partition index and Xie and Beni's index to improve the feature sparseness. By fusion of shape descriptors and stance indexes, the MCRF is constructed in coordination with intra- and intergender temporary Markov properties. Analogous to the maximum likelihood decision used in hidden Markov models (HMMs), several classification strategies on the MCRF are discussed. We use CASIA (Data set B) and IRIP Gait Databases for the experiments. The results show the superior performance of the MCRF over HMMs and separately trained CRFs. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13215]  |
| 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,et al. Gait-Based Gender Classification Using Mixed Conditional Random Field[J]. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics,,2011,41(5):1429-1439. |
| APA | Maodi Hu,Yunhong Wang,Zhaoxiang Zhang,&De Zhang.(2011).Gait-Based Gender Classification Using Mixed Conditional Random Field.IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics,,41(5),1429-1439. |
| MLA | Maodi Hu,et al."Gait-Based Gender Classification Using Mixed Conditional Random Field".IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 41.5(2011):1429-1439. |
入库方式： OAI收割
来源：自动化研究所
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