Factorial HMM and Parallel HMM for Gait Recognition
文献类型：期刊论文
| 作者 | Chen, Changhong1; Liang, Jimin1; Zhao, Heng1; Hu, Haihong1; Tian, Jie1,2
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| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS
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| 出版日期 | 2009 |
| 卷号 | 39期号:1页码:114-123 |
| 关键词 | Factorial hidden Markov model (FHMM) gait recognition information fusion McNemar's test parallel HMM (PHMM) performance evaluation |
| 英文摘要 | Information fusion offers a promising solution to the development of a high-performance classification system. In this paper, the problem of multiple gait features fusion is explored with the framework of the factorial hidden Markov model (FHMM). The FHMM has a multiple-layer structure and provides an alternative to combine several gait features without concatenating them into a single augmented feature. Besides, the feature concatenation is used to directly concatenate the features and the parallel HMM (PHMM) is introduced as a decision-level fusion scheme, which employs traditional fusion rules to combine the recognition results at decision level. To evaluate the recognition performances, McNemar's test is employed to compare the FHMM feature-level fusion scheme with the feature concatenation and the PHMM decision-level fusion scheme. Statistical numerical experiments are carried out on the Carnegie Mellon University motion of body and the Institute of Automation of the Chinese Academy of Sciences gait databases. The experimental results demonstrate that the FHMM feature-level fusion scheme and the PHMM decision-level fusion scheme outperform feature concatenation. The FHMM feature-level fusion scheme tends to perform better than the PHMM decision-level fusion scheme when only a few gait cycles are available for recognition. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Computer Science, Interdisciplinary Applications |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | HUMAN IDENTIFICATION ; FUSION ; FACE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000262328400010 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3936]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.Xidian Univ, Sch Elect Engn, Life Sci Res Ctr, Xian 710071, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Changhong,Liang, Jimin,Zhao, Heng,et al. Factorial HMM and Parallel HMM for Gait Recognition[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,2009,39(1):114-123. |
| APA | Chen, Changhong,Liang, Jimin,Zhao, Heng,Hu, Haihong,&Tian, Jie.(2009).Factorial HMM and Parallel HMM for Gait Recognition.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS,39(1),114-123. |
| MLA | Chen, Changhong,et al."Factorial HMM and Parallel HMM for Gait Recognition".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 39.1(2009):114-123. |
入库方式： OAI收割
来源：自动化研究所
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