Efficient Night Gait Recognition Based on Template Matching
文献类型：会议论文
| 作者 | Daoliang Tan; Kaiqi Huang ; Tieniu Tan; Shiqi Yu
|
| 出版日期 | 2006 |
| 会议日期 | 2006-08-01 |
| 会议地点 | Hong Kong, China |
| 关键词 | Gaussian Processes biometrics (Access Control gait Analysis |
| 页码 | 1000-1003 |
| 英文摘要 | Gait is a useful biometric which can be used to recognize people at a distance when other biometrics are incapable. However, most work on gait recognition has been visible spectrum-oriented over the past decade, ignoring recognition at night which is in reality demandimperative. This paper deals with the problem of night gait recognition via thermal infrared imagery. First of all, human detection is accomplished, based on the Gaussian mixture modeling of the background. Then, human silhouettes are extracted on the basis of preceding detection results. Moreover, a new gait representation called HTI is proposed to characterize gait signatures for recognition. An infrared night gait database was built to provide a foundation for night gait recognition. Experimental results on two gait datasets show the effectiveness of this method. |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12728]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 GB/T 7714 | Daoliang Tan,Kaiqi Huang,Tieniu Tan,et al. Efficient Night Gait Recognition Based on Template Matching[C]. 见:. Hong Kong, China. 2006-08-01. |
入库方式： OAI收割
来源：自动化研究所
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