Real-time object-based video segmentation using colour segmentation and connected component labeling

In this paper, we described two-scan connected component labeling (CCL) approach on a real-time colour video image segmentation. CCL approach is an act of region labeling and could provides opportunity to find feature of object and establish boundaries of objects which are the common properties need...

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Main Authors: Teh, Chee Siong, Jau, U.L
Format: Article
Language:English
Published: Springer Verlag 2009
Subjects:
Online Access:http://ir.unimas.my/id/eprint/18494/
http://ir.unimas.my/id/eprint/18494/1/978-3-642-05036-7_12%20%28abstrak%29.pdf
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author Teh, Chee Siong
Jau, U.L
author_facet Teh, Chee Siong
Jau, U.L
author_sort Teh, Chee Siong
building UNIMAS Institutional Repository
collection Online Access
description In this paper, we described two-scan connected component labeling (CCL) approach on a real-time colour video image segmentation. CCL approach is an act of region labeling and could provides opportunity to find feature of object and establish boundaries of objects which are the common properties needed by many object-based video segmentation applications. We tested the proposed technique in two experimental studies that simulates real-time object-based video segmentation. Our experiments results shown that the proposed technique could perform region labeling in a fast manner. Another advantage of the proposed technique is that it does not provide extra storage to store same label equivalence. This property gives advantage to avoid label equivalence redundancies that always happen in the CCL approach
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spelling unimas-184942017-11-13T06:50:37Z http://ir.unimas.my/id/eprint/18494/ Real-time object-based video segmentation using colour segmentation and connected component labeling Teh, Chee Siong Jau, U.L T Technology (General) In this paper, we described two-scan connected component labeling (CCL) approach on a real-time colour video image segmentation. CCL approach is an act of region labeling and could provides opportunity to find feature of object and establish boundaries of objects which are the common properties needed by many object-based video segmentation applications. We tested the proposed technique in two experimental studies that simulates real-time object-based video segmentation. Our experiments results shown that the proposed technique could perform region labeling in a fast manner. Another advantage of the proposed technique is that it does not provide extra storage to store same label equivalence. This property gives advantage to avoid label equivalence redundancies that always happen in the CCL approach Springer Verlag 2009 Article PeerReviewed text en http://ir.unimas.my/id/eprint/18494/1/978-3-642-05036-7_12%20%28abstrak%29.pdf Teh, Chee Siong and Jau, U.L (2009) Real-time object-based video segmentation using colour segmentation and connected component labeling. Lecture Notes in Computer Science, 5857. pp. 110-121. ISSN 0302-9743 https://link.springer.com/chapter/10.1007/978-3-642-05036-7_12 DOI: 10.1007/978-3-642-05036-7_12
spellingShingle T Technology (General)
Teh, Chee Siong
Jau, U.L
Real-time object-based video segmentation using colour segmentation and connected component labeling
title Real-time object-based video segmentation using colour segmentation and connected component labeling
title_full Real-time object-based video segmentation using colour segmentation and connected component labeling
title_fullStr Real-time object-based video segmentation using colour segmentation and connected component labeling
title_full_unstemmed Real-time object-based video segmentation using colour segmentation and connected component labeling
title_short Real-time object-based video segmentation using colour segmentation and connected component labeling
title_sort real-time object-based video segmentation using colour segmentation and connected component labeling
topic T Technology (General)
url http://ir.unimas.my/id/eprint/18494/
http://ir.unimas.my/id/eprint/18494/
http://ir.unimas.my/id/eprint/18494/
http://ir.unimas.my/id/eprint/18494/1/978-3-642-05036-7_12%20%28abstrak%29.pdf