NDLI: Moving shadow detection and removal – a wavelet transform based approach

Content Provider	IET Digital Library
Author	Khare, Manish Srivastava, Rajneesh Kumar Khare, Ashish
Abstract	Shadow detection and removal is an important problem in computer vision. The real challenge in moving shadow detection and removal is to classify moving shadow points which are many times misclassified as moving object points in a video sequences. Various shadow detection and removal algorithms have been proposed for images but only a few works have been done for moving objects. In this study, a novel method for shadow detection and removal is proposed using discrete wavelet transform (DWT). The authors have used DWT because of its multi-resolution property that decomposes an image into four different bands without loss of the spatial information. For detection and removal of shadow, they have proposed a new threshold in the form of relative standard deviation. The value of threshold is automatically determined and does not require any supervised learning or manual calibration. The proposed method is flexible and depends on only one parameter, namely, wavelet coefficients. Results of shadow detection and removal from moving object after applying the proposed method are compared with the results of other state-of-the-art methods in terms of visual performance and a number of quantitative performance parameters. The proposed method is found to be better and more robust than other methods.
Starting Page	701
Ending Page	717
Page Count	17
ISSN	17519632
Volume Number	8
e-ISSN	17519640
Issue Number	Issue 6, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0028
Journal	IET Computer Vision
Publisher Date	2014-06-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision Computer Vision And Image Processing Technique Discrete Wavelet Transform DWT Environmental Condition Image Decomposition Image Motion Analysis Image Resolution Image Sequence Integral Transforms Knowledge Engineering Technique Learning in AI Lighting Condition Moving Object Shadow Detection Moving Object Shadow Removal Moving Shadow Point Classification Multiresolution Property Object Detection Optical, Image And Video Signal Processing Paired T-test Removal Algorithm Shadow Discrimination Rate Supervised Learning Video Sequence Wavelet Coefflcients Wavelet Transform Based Approach
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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