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Conference Paper: Effective moving cast shadow detection for monocular color image sequences

TitleEffective moving cast shadow detection for monocular color image sequences
Authors
Issue Date2001
PublisherIEEE.
Citation
The 11th International Conference on Image Analysis and Processing Proceedings, Palermo, Italy, 26-28 September 2001, p. 404-409 How to Cite?
AbstractFor an accurate scene analysis in monocular image sequences, a robust segmentation of a moving object from the static background is generally required. However, the existence of moving cast shadow may lead to an inaccurate object segmentation, and as a result, lead to further erroneous scene analysis. An effective detection of moving cast shadow in monocular color image sequences is developed. Firstly, by realizing the various characteristics of shadow in luminance, chrominance, and gradient density, an indicator, called shadow confidence score, of the probability of the region classified as cast shadow is calculated. Secondly the canny edge detector is employed to detect edge pixels in the detected region. These pixels are then bounded by their convex hull, which estimates the position of the object. Lastly, by analyzing the shadow confidence score and the bounding hull, the cast shadow is identified as those regions outside the bounding hull and with high shadow confidence score. A number of typical outdoor scenes are evaluated and it is shown that our method can effectively detect the associated cast shadow from the object of interest.
Persistent Identifierhttp://hdl.handle.net/10722/46324

 

DC FieldValueLanguage
dc.contributor.authorFung, SKen_HK
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorPang, GKHen_HK
dc.contributor.authorLai, HSen_HK
dc.date.accessioned2007-10-30T06:47:21Z-
dc.date.available2007-10-30T06:47:21Z-
dc.date.issued2001en_HK
dc.identifier.citationThe 11th International Conference on Image Analysis and Processing Proceedings, Palermo, Italy, 26-28 September 2001, p. 404-409en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46324-
dc.description.abstractFor an accurate scene analysis in monocular image sequences, a robust segmentation of a moving object from the static background is generally required. However, the existence of moving cast shadow may lead to an inaccurate object segmentation, and as a result, lead to further erroneous scene analysis. An effective detection of moving cast shadow in monocular color image sequences is developed. Firstly, by realizing the various characteristics of shadow in luminance, chrominance, and gradient density, an indicator, called shadow confidence score, of the probability of the region classified as cast shadow is calculated. Secondly the canny edge detector is employed to detect edge pixels in the detected region. These pixels are then bounded by their convex hull, which estimates the position of the object. Lastly, by analyzing the shadow confidence score and the bounding hull, the cast shadow is identified as those regions outside the bounding hull and with high shadow confidence score. A number of typical outdoor scenes are evaluated and it is shown that our method can effectively detect the associated cast shadow from the object of interest.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Image Analysis and Processing Proceedings-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleEffective moving cast shadow detection for monocular color image sequencesen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYung, NHC: nyung@eee.hku.hk-
dc.identifier.emailPang, GKH: gpang@eee.hku.hk-
dc.identifier.authorityYung, NHC=rp00226-
dc.identifier.authorityPang, GKH=rp00162-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIAP.2001.957043en_HK
dc.identifier.hkuros72325-
dc.identifier.hkuros72335-
dc.identifier.spage404-
dc.identifier.epage409-
dc.customcontrol.immutablesml 160112 - merged-

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