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.
|
Text
Binder1.pdf Download (1MB) | Preview |
Abstract
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.
Metadata
| 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: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sandra Plummer |
| Date Deposited: | 30 Jan 2007 |
| Last Modified: | 09 Aug 2023 12:29 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/450 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
