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Insignificant shadow detection for video segmentation

Xu, D. and Liu, J. and Li, Xuelong and Liu, Z. and Tang, X. (2005) Insignificant shadow detection for video segmentation. IEEE Transactions on Circuits and Systems for Video Technology 15 (8), pp. 1058-1064. ISSN 1051-8215.


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To 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.

Item Type: Article
Additional Information: This is an exact copy of a paper published in IEEE Transactions on Circuits and Systems for Video Technology (ISSN 1051-8215). It is reproduced with permission from the publisher. Copyright © 2005 IEEE.
Keyword(s) / Subject(s): insignificant shadow detection, multiframe integration, region growing, video segmentation
School or Research Centre: Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Information Systems
Depositing User: Sandra Plummer
Date Deposited: 30 Jan 2007
Last Modified: 11 Oct 2016 15:27

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