A Study on Gait-Based Gender Classification
文献类型：期刊论文
| 作者 | Yu, Shiqi1,2; Tan, Tieniu1 ; Huang, Kaiqi1; Jia, Kui2; Wu, Xinyu2
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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| 出版日期 | 2009-08-01 |
| 卷号 | 18期号:8页码:1905-1910 |
| 关键词 | Appearance-based features gait analysis gender classification human silhouette |
| 英文摘要 | Gender is an important cue in social activities. In this correspondence, we present a study and analysis of gender classification based on human gait. Psychological experiments were carried out. These experiments showed that humans can recognize gender based on gait information, and that contributions of different body components vary. The prior knowledge extracted from the psychological experiments can be combined with an automatic method to further improve classification accuracy. The proposed method which combines human knowledge achieves higher performance than some other methods, and is even more accurate than human observers. We also present a numerical analysis of the contributions of different human components, which shows that head and hair, back, chest and thigh are more discriminative than other components. We also did challenging cross-race experiments that used Asian gait data to classify the gender of Europeans, and vice versa. Encouraging results were obtained. All the above prove that gait-based gender classification is feasible in controlled environments. In real applications, it still suffers from many difficulties, such as view variation, clothing and shoes changes, or carrying objects. We analyze the difficulties and suggest some possible solutions. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | RECOGNITION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000268033300019 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3766]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.CAS CUHK, Shenzhen Inst Adv Integrat Technol, Shenzhen 518067, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Shiqi,Tan, Tieniu,Huang, Kaiqi,et al. A Study on Gait-Based Gender Classification[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2009,18(8):1905-1910. |
| APA | Yu, Shiqi,Tan, Tieniu,Huang, Kaiqi,Jia, Kui,&Wu, Xinyu.(2009).A Study on Gait-Based Gender Classification.IEEE TRANSACTIONS ON IMAGE PROCESSING,18(8),1905-1910. |
| MLA | Yu, Shiqi,et al."A Study on Gait-Based Gender Classification".IEEE TRANSACTIONS ON IMAGE PROCESSING 18.8(2009):1905-1910. |
入库方式： OAI收割
来源：自动化研究所
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