OPT OpenIR  > 光谱成像技术研究室
Robust CoHOG Feature Extraction in Human-Centered Image/Video Management System
Pang, Yanwei1; Yan, He1; Yuan, Yuan2; Wang, Kongqiao3
作者部门光学影像分析与学习中心
2012-04-01
发表期刊IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
ISSN1083-4419
卷号42期号:2页码:458-468
产权排序3
摘要Many human-centered image and video management systems depend on robust human detection. To extract robust features for human detection, this paper investigates the following shortcomings of co-occurrence histograms of oriented gradients (CoHOGs) which significantly limit its advantages: 1) The magnitudes of the gradients are discarded, and only the orientations are used; 2) the gradients are not smoothed, and thus, aliasing effect exists; and 3) the dimensionality of the CoHOG feature vector is very large (e.g., 200 000). To deal with these problems, in this paper, we propose a framework that performs the following: 1) utilizes a novel gradient decomposition and combination strategy to make full use of the information of gradients; (2) adopts a two-stage gradient smoothing scheme to perform efficient gradient interpolation; and (3) employs incremental principal component analysis to reduce the large dimensionality of the CoHOG features. Experimental results on the two different human databases demonstrate the effectiveness of the proposed method.
文章类型Article
关键词Co-occurrence Histograms Of Oriented Gradients (Cohogs) Histograms Of Oriented Gradients (Hogs) Human-centered Image Retrieval Human Detection
学科领域Automation & Control Systems
WOS标题词Science & Technology ; Technology
DOI10.1109/TSMCB.2011.2167750
收录类别SCI ; EI
关键词[WOS]SUPPORT VECTOR MACHINES ; PEDESTRIAN DETECTION ; IMAGE RETRIEVAL ; RECOGNITION ; SEGMENTATION ; SURVEILLANCE ; SUBSPACE
语种英语
WOS研究方向Automation & Control Systems ; Computer Science
WOS类目Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号WOS:000302097000014
引用统计
被引频次:75[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/20262
专题光谱成像技术研究室
作者单位1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China
3.Nokia Res Ctr, Beijing 100176, Peoples R China
推荐引用方式
GB/T 7714
Pang, Yanwei,Yan, He,Yuan, Yuan,et al. Robust CoHOG Feature Extraction in Human-Centered Image/Video Management System[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,2012,42(2):458-468.
APA Pang, Yanwei,Yan, He,Yuan, Yuan,&Wang, Kongqiao.(2012).Robust CoHOG Feature Extraction in Human-Centered Image/Video Management System.IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS,42(2),458-468.
MLA Pang, Yanwei,et al."Robust CoHOG Feature Extraction in Human-Centered Image/Video Management System".IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 42.2(2012):458-468.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Robust CoHOG Feature(1248KB)期刊论文出版稿限制开放CC BY请求全文
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
[Pang, Yanwei]的文章
[Yan, He]的文章
[Yuan, Yuan]的文章
百度学术
百度学术中相似的文章
[Pang, Yanwei]的文章
[Yan, He]的文章
[Yuan, Yuan]的文章
必应学术
必应学术中相似的文章
[Pang, Yanwei]的文章
[Yan, He]的文章
[Yuan, Yuan]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。