Evaluation of shadow features
文献类型：期刊论文
| 作者 | 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
 |
| 出版日期 | 2018 |
| 卷号 | 12期号:1页码:95-103 |
| ISSN号 | 1751-9640 |
| 产权排序 | 1 |
| 通讯作者 | Tian JD(田建东) |
| 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
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。