An optimized hierarchical classifier for pedestrian detection
文献类型：会议论文
| 作者 | Xu, Yanwu ; Cao, Xianbin; Qiao, Hong
|
| 出版日期 | 2008 |
| 会议名称 | 7th World Congress on Intelligent Control and Automation |
| 会议日期 | JUN 25-27, 2008 |
| 会议地点 | Chongqing, PEOPLES R CHINA |
| 关键词 | Pedestrian detection hierarchical classifier AdaBoost |
| 通讯作者 | Xu, Yanwu |
| 英文摘要 | Classification is an essential technology in Pedestrian Detection System (PDS). Until now, single-classifier and basic cascaded classifier had been widely used in PDS; however, most of them can hardly satisfy the 3 requirements at the same time: high detection speed, high detection rate and low false positive rate. In this paper, we proposed an optimized hierarchical classifier which can satisfy the 3 requirements. The proposed method adopted Corse-to-fine and Early-rejection principles to achieve global high performance. It consists of two hierarchies, the first one is used to quickly reject non-pedestrian objects and select out only a few candidates; the second one makes further verification to these candidates. Furthermore, each hierarchy was optimized with statistical models basing on experiments; and each hierarchy is a treelike classifier which has specific optimization demands. At last; an overall performance evaluation standard is proposed, and the experimental results showed that the proposed classifier had better overall performance. |
| 会议录 | 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12814]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | Univ Sci & Technol China, Dept Comp Sci & Technol |
| 推荐引用方式 GB/T 7714 | Xu, Yanwu,Cao, Xianbin,Qiao, Hong. An optimized hierarchical classifier for pedestrian detection[C]. 见:7th World Congress on Intelligent Control and Automation. Chongqing, PEOPLES R CHINA. JUN 25-27, 2008. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。