中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 光电技术研究所被WoS收录文章  > 期刊论文
题名:
Accurate Object Recognition with Assembling Appearance and Motion Information
作者: Chang, Yongxin1,2,3; Yu, Huapeng1,2,3; Xu, Zhiyong1; Zhang, Jing2; Gao, Chunming2
刊名: MATHEMATICAL PROBLEMS IN ENGINEERING
出版日期: 2014
文章类型: Article
英文摘要: How to effectively detect object and accurately give out its visible parts is a major challenge for object detection. In this paper we propose an explicit occlusion model through integrating appearance and motion information. The model combines together two parts: part-level object detection with single frame and object occlusion estimation with continuous frames. It breaks through the performance bottleneck caused by lack of information and effectively improves object detection rate under severe occlusion. Through reevaluating the semantic parts, the detecting performance of partial object detectors is largely enhanced. The explicit model enables the partial detectors to have the capability of occlusion estimation. By discarding the geometric representation in rigid single-angle perspective and applying effective pattern of objective shape, our proposed approaches greatly improve the performance and robustness of similarity measurement. For validating the performance of proposed methods, we designed a comparative experiment on challenging pedestrian frame sequences database. The experimental results on challenging pedestrian frame sequence demonstrate that, compared to the traditional algorithms, the methods proposed in this paper have significantly improved the detection rate for severe occlusion. Furthermore, it also can achieve better localization of semantic parts and estimation of occluding.
WOS标题词: Science & Technology ; Technology ; Physical Sciences
类目[WOS]: Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications
研究领域[WOS]: Engineering ; Mathematics
收录类别: SCI
语种: 英语
WOS记录号: WOS:000345040300001
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/2432
Appears in Collections:光电技术研究所被WoS收录文章_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1.Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
2.Univ Elect Sci & Technol China, Sch Optoelect Informat, Chengdu 610054, Peoples R China
3.Grad Univ Chinese Acad Sci, Beijing 100049, Peoples R China

Recommended Citation:
Chang, Yongxin,Yu, Huapeng,Xu, Zhiyong,et al. Accurate Object Recognition with Assembling Appearance and Motion Information[J]. MATHEMATICAL PROBLEMS IN ENGINEERING,2014.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Chang, Yongxin]'s Articles
[Yu, Huapeng]'s Articles
[Xu, Zhiyong]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Chang, Yongxin]‘s Articles
[Yu, Huapeng]‘s Articles
[Xu, Zhiyong]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace