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Proceedings Paper

Dual tree complex wavelet transform based shadow detection and removal from moving objects
Author(s): Manish Khare; Rajneesh Kumar Srivastava; Ashish Khare
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Paper Abstract

Presence of shadow degrades performance of any computer vision system as a number of shadow points are always misclassified as object points. Various algorithms for shadow detection and removal exist for still images but very few algorithms have been developed for moving objects. This paper introduces a new method for shadow detection and removal from moving object which is based on Dual tree complex wavelet transform. We have chosen Dual tree complex wavelet transform as it is shift invariant and have a better edge detection property as compared to real valued wavelet transform. In the present work, shadow detection and removal has been done by thresholding wavelet coefficients of Dual tree complex wavelet transform of difference of reference frame and the current frame. Standard deviation of wavelet coefficients is used as an optimal threshold. Results after visual and quantitative performance metrics computation shows that the proposed method for shadow detection and removal is better than other state-of-theart methods.

Paper Details

Date Published: 17 February 2014
PDF: 7 pages
Proc. SPIE 9029, Visual Information Processing and Communication V, 90290D (17 February 2014); doi: 10.1117/12.2042453
Show Author Affiliations
Manish Khare, Univ. of Allahabad (India)
Rajneesh Kumar Srivastava, Univ. of Allahabad (India)
Ashish Khare, Univ. of Allahabad (India)


Published in SPIE Proceedings Vol. 9029:
Visual Information Processing and Communication V
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)

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