Video object segmentation by 2-D mesh-based motion analysis and morphological filtering
A new temporal-spatial video object segmentation algorithm was proposed.This algorithm was based on 2-D mesh-based motion analysis and an improved spatial automatic segmenting strategy of morphological filtering.Firstly,higher order statistics was used for motion analysis of the 2-D mesh representat...
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Main Authors: | , , |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2007-01-01
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Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/74658595/ |
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Summary: | A new temporal-spatial video object segmentation algorithm was proposed.This algorithm was based on 2-D mesh-based motion analysis and an improved spatial automatic segmenting strategy of morphological filtering.Firstly,higher order statistics was used for motion analysis of the 2-D mesh representation.After post-processing,relatively fine motion detection mask was quickly obtained.Then a novel watershed segmenting strategy based on alternating sequential filtering by reconstruction and adaptive threshold was applied to get the accurate boundary of the foreground object.Fi-nally,the video object was effectively extracted by fusing the temporal and spatial segmentation via region-based method.Experimental results indicate that the proposed algorithm assimilates the advantages of 2-D mesh-based algorithms and pixel-based algorithms,and achieves satisfactory subject and object performance. |
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ISSN: | 1000-436X |