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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2009
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my.unimas.ir.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 E-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 |
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T Technology (General) Teh, Chee Siong Jau, U.L Real-time object-based video segmentation using colour segmentation and connected component labeling |
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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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E-Article |
author |
Teh, Chee Siong Jau, U.L |
author_facet |
Teh, Chee Siong Jau, U.L |
author_sort |
Teh, Chee Siong |
title |
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_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_sort |
real-time object-based video segmentation using colour segmentation and connected component labeling |
publisher |
Springer Verlag |
publishDate |
2009 |
url |
http://ir.unimas.my/id/eprint/18494/1/978-3-642-05036-7_12%20%28abstrak%29.pdf http://ir.unimas.my/id/eprint/18494/ https://link.springer.com/chapter/10.1007/978-3-642-05036-7_12 |
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1644512869808603136 |
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13.211869 |