An optimized hierarchical classifier for pedestrian detection
Xu, Yanwu; Cao, Xianbin; Qiao, Hong
2008
会议名称7th World Congress on Intelligent Control and Automation
会议录名称2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION
会议日期JUN 25-27, 2008
会议地点Chongqing, PEOPLES R CHINA
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.
关键词Pedestrian Detection Hierarchical Classifier Adaboost
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12814
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
通讯作者Xu, Yanwu
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],2008.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Xu, Yanwu]的文章
[Cao, Xianbin]的文章
[Qiao, Hong]的文章
百度学术
百度学术中相似的文章
[Xu, Yanwu]的文章
[Cao, Xianbin]的文章
[Qiao, Hong]的文章
必应学术
必应学术中相似的文章
[Xu, Yanwu]的文章
[Cao, Xianbin]的文章
[Qiao, Hong]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。