NDLI: Shadow detection and removal for traffic images

Content Provider	IEEE Xplore Digital Library
Author	Wang, J.M. Chung, Y.C. Chang, C.L. Chen, S.W.
Copyright Year	2004
Description	Author affiliation: Dept. of Inf. &Comput. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan (Wang, J.M.; Chung, Y.C.; Chang, C.L.)
Abstract	Shadow detection and removal is an important task when dealing with outdoor images. Shadows cast by objects together with the objects form distorted figures. Furthermore, separate objects can be connected through shadows. Both can confuse object recognition systems. In this paper, an effective method is presented for detecting and removing shadows from foreground figures. We assume that foreground figures have been extracted from the input image by some background subtraction method. A figure may contain an object with or without shadow or multiple objects connected by shadows. To begin, we decide whether there are shadows in a given figure. A method based on illumination assessment is developed for this purpose. Once shadows have been confirmed existing in the given figure, their locations and orientations are estimated. A number of points are-then sampled from the shadow candidates, from which attributes of shadow are computed. We do not remove shadows simply based on the computed attributes. The reason is twofold. First, the distribution of intensity within a shadow is not uniform. Second, shadows can be divided into cast and self shadows; only cast shadows are to be removed. To deal with the first issue, we recover object shapes progressively instead of directly removing shadows. The second issue is resolved based on the observation that self shadows possess denser distributions of texture than cast shadows in our application. A number of experiments have been performed. The results revealed the applicability of the proposed technique.
Sponsorship	IEEE Systems, Man and Cybernetics Soc
Starting Page	649
Ending Page	654
File Size	487154
Page Count	6
File Format	PDF
ISBN	0780381939
ISSN	18107869
DOI	10.1109/ICNSC.2004.1297516
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-03-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object recognition Shape Object detection Vehicle detection Light sources Video sequences Computer science education Computer science Lighting Pixel
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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