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Article: Insignificant shadow detection for video segmentation

TitleInsignificant shadow detection for video segmentation
Authors
KeywordsInsignificant shadow detection
Multiframe integration
Region growing
Video segmentation
Issue Date2005
Citation
IEEE Transactions on Circuits and Systems for Video Technology, 2005, v. 15, n. 8, p. 1058-1064 How to Cite?
AbstractTo prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames. First, an initial change detection mask containing moving objects and cast shadows is obtained. Then a Canny edge map is generated. After that, the shadow region is detected and removed through multiframe integration, edge matching, and region growing. Finally, a post processing procedure is used to eliminate noise and tune the boundaries of the objects. Our approach can be used for video segmentation in indoor environment. The experimental results demonstrate its good performance. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321297
ISSN
2023 Impact Factor: 8.3
2023 SCImago Journal Rankings: 2.299
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Dong-
dc.contributor.authorLiu, Jianzhuang-
dc.contributor.authorLi, Xuelong-
dc.contributor.authorLiu, Zhengkai-
dc.contributor.authorTang, Xiaoou-
dc.date.accessioned2022-11-03T02:17:58Z-
dc.date.available2022-11-03T02:17:58Z-
dc.date.issued2005-
dc.identifier.citationIEEE Transactions on Circuits and Systems for Video Technology, 2005, v. 15, n. 8, p. 1058-1064-
dc.identifier.issn1051-8215-
dc.identifier.urihttp://hdl.handle.net/10722/321297-
dc.description.abstractTo prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames. First, an initial change detection mask containing moving objects and cast shadows is obtained. Then a Canny edge map is generated. After that, the shadow region is detected and removed through multiframe integration, edge matching, and region growing. Finally, a post processing procedure is used to eliminate noise and tune the boundaries of the objects. Our approach can be used for video segmentation in indoor environment. The experimental results demonstrate its good performance. © 2005 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Circuits and Systems for Video Technology-
dc.subjectInsignificant shadow detection-
dc.subjectMultiframe integration-
dc.subjectRegion growing-
dc.subjectVideo segmentation-
dc.titleInsignificant shadow detection for video segmentation-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TCSVT.2005.852402-
dc.identifier.scopuseid_2-s2.0-25144465898-
dc.identifier.volume15-
dc.identifier.issue8-
dc.identifier.spage1058-
dc.identifier.epage1064-
dc.identifier.isiWOS:000231029700011-

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