Evaluation of shadow features-Reference-Cited by-同舟云学术

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Evaluation of shadow features

Published:2017-10-05 Issue:1 Volume:12 Page:95-103
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Qu Liangqiong¹²³,Tian Jiandong¹,Fan Huijie¹,Li Wentao¹,Tang Yandong¹

Affiliation:

1. State Key Laboratory of RoboticsShenyang Institute of AutomationChinese Academy of SciencesShenyangPeople's Republic of China

2. University of Chinese Academy of SciencesBeijingPeople's Republic of China

3. Department of Computer ScienceCity University of Hong KongKowloonHong Kong

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2017.0159

Reference50 articles.

1. Study on color space selection for detecting cast shadows in video surveillance

2. Panagopoulos A. Wang C. Samaras D. et al: ‘Illumination estimation and cast shadow detection through a higher‐order graphical model’.Computer Vision and Pattern Recognition 2011 pp.673–680

3. Moving shadow detection and removal – a wavelet transform based approach

4. Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image

5. Single‐image shadow detection and removal using local colour constancy computation

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