Evaluation of shadow features
Li WT(李文涛); Fan HJ(范慧杰); Tian JD(田建东); Qu JQ(屈靓琼); Tang YD(唐延东)
刊名IET Computer Vision
2018
卷号12期号:1页码:95-103
ISSN号1751-9640
通讯作者Tian JD(田建东)
产权排序1
中文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]MOVING-OBJECTS ; CAST SHADOWS ; COLOR ; REMOVAL ; INVARIANT ; IMAGE ; ALGORITHMS ; CUES
收录类别SCI ; EI
语种英语
WOS记录号WOS:000423200200011
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/21373]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
2.University of Chinese Academy of Sciences, Beijing, People's Republic of China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People's Republic of China
推荐引用方式
GB/T 7714
Li WT,Fan HJ,Tian JD,et al. Evaluation of shadow features[J]. IET Computer Vision,2018,12(1):95-103.
APA Li WT,Fan HJ,Tian JD,Qu JQ,&Tang YD.(2018).Evaluation of shadow features.IET Computer Vision,12(1),95-103.
MLA Li WT,et al."Evaluation of shadow features".IET Computer Vision 12.1(2018):95-103.
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