Insignificant shadow detection for video segmentation
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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.
All Author(s) ListXu D, Liu JZ, Li XL, Liu ZK, Tang X
Journal nameIEEE Transactions on Circuits and Systems for Video Technology
Year2005
Month8
Day1
Volume Number15
Issue Number8
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Pages1058 - 1064
ISSN1051-8215
eISSN1558-2205
LanguagesEnglish-United Kingdom
Keywordsinsignificant shadow detection; multiframe integration; region growing; video segmentation
Web of Science Subject CategoriesEngineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

Last updated on 2020-09-09 at 23:23