SIA OpenIR  > 机器人学研究室
Evaluation of shadow features
Qu JQ(屈靓琼); Tian JD(田建东); Fan HJ(范慧杰); Li WT(李文涛); Tang YD(唐延东)
作者部门机器人学研究室
发表期刊IET Computer Vision
ISSN1751-9632
2018
卷号12期号:1页码:95-103
收录类别SCI ; EI
EI收录号20180504693620
WOS记录号WOS:000423200200011
产权排序1
资助机构Natural Science Foundation of China under Grant Nos. 61473280, 61333019, and 91648118. The authors also thank the support by Youth Innovation Promotion Association CAS.
摘要

Shadow features such as colour ratio, texture, and chromaticity have proved to be quite effective in shadow detection. Many shadow detection methods have been proposed on the basis of different features. However, previous works for shadow detection mainly focus on designing an effective classifier for existing shadow features, but pay less attention on the analysis of shadow features themselves. The majority of studies simply report the final shadow detection results rather than make an evaluation on each feature. Readers often do not know which features are more effective or whether these shadow features are complementary. The following problems are still unsolved: the robustness of each feature, which feature plays the most important role in a detection method, and what is the best performance that current features can reach. The purpose of this study is to answer these questions, and the authors hope that this study can offer guidance for future shadow detection algorithms via the evaluation of frequently used shadow features. Several useful and interesting conclusions are obtained after conducting extensive comparison experiments on a large dataset.

语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
关键词[WOS]Moving-objects ; Cast Shadows ; Color ; Removal ; Invariant ; Image ; Algorithms ; Cues
WOS研究方向Computer Science ; Engineering
引用统计
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/21373
专题机器人学研究室
通讯作者Tian JD(田建东)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People's Republic of China
2.University of Chinese Academy of Sciences, Beijing, People's Republic of China
3.Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
推荐引用方式
GB/T 7714
Qu JQ,Tian JD,Fan HJ,et al. Evaluation of shadow features[J]. IET Computer Vision,2018,12(1):95-103.
APA Qu JQ,Tian JD,Fan HJ,Li WT,&Tang YD.(2018).Evaluation of shadow features.IET Computer Vision,12(1),95-103.
MLA Qu JQ,et al."Evaluation of shadow features".IET Computer Vision 12.1(2018):95-103.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Evaluation of shadow(6157KB)期刊论文作者接受稿开放获取ODC PDDL浏览 下载
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
[Qu JQ(屈靓琼)]的文章
[Tian JD(田建东)]的文章
[Fan HJ(范慧杰)]的文章
百度学术
百度学术中相似的文章
[Qu JQ(屈靓琼)]的文章
[Tian JD(田建东)]的文章
[Fan HJ(范慧杰)]的文章
必应学术
必应学术中相似的文章
[Qu JQ(屈靓琼)]的文章
[Tian JD(田建东)]的文章
[Fan HJ(范慧杰)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Evaluation of shadow features.pdf
格式: Adobe PDF
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。