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Conference Paper: Object tracking and matting for A class of dynamic image-based representations

TitleObject tracking and matting for A class of dynamic image-based representations
Authors
Issue Date2005
PublisherIEEE.
Citation
Ieee International Conference On Advanced Video And Signal Based Surveillance - Proceedings Of Avss 2005, 2005, v. 2005, p. 81-86 How to Cite?
AbstractImage-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based approach for a class of dynamic image-based representations called plenoptic videos was proposed. This paper proposes an automatic object tracking approach using the level-set method. Our tracking method, which utilizes both local and global features of the image sequences instead of global features exploited in previous approach, can achieve better tracking results for objects, especially with non-uniform energy distribution. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, a MPEG-4 like object-based algorithm is developed for compressing the plenoptic videos, which consist of the alpha maps, depth maps and textures of the segmented image-based objects from different video plenoptic streams. Experimental results show that satisfactory renderings can be obtained by the proposed approaches. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45926
References

 

DC FieldValueLanguage
dc.contributor.authorGan, ZFen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorShum, HYen_HK
dc.date.accessioned2007-10-30T06:38:38Z-
dc.date.available2007-10-30T06:38:38Z-
dc.date.issued2005en_HK
dc.identifier.citationIeee International Conference On Advanced Video And Signal Based Surveillance - Proceedings Of Avss 2005, 2005, v. 2005, p. 81-86en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45926-
dc.description.abstractImage-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based approach for a class of dynamic image-based representations called plenoptic videos was proposed. This paper proposes an automatic object tracking approach using the level-set method. Our tracking method, which utilizes both local and global features of the image sequences instead of global features exploited in previous approach, can achieve better tracking results for objects, especially with non-uniform energy distribution. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, a MPEG-4 like object-based algorithm is developed for compressing the plenoptic videos, which consist of the alpha maps, depth maps and textures of the segmented image-based objects from different video plenoptic streams. Experimental results show that satisfactory renderings can be obtained by the proposed approaches. © 2005 IEEE.en_HK
dc.format.extent1023316 bytes-
dc.format.extent27162 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE International Conference on Advanced Video and Signal Based Surveillance - Proceedings of AVSS 2005en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.titleObject tracking and matting for A class of dynamic image-based representationsen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/AVSS.2005.1577247en_HK
dc.identifier.scopuseid_2-s2.0-33847004373en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847004373&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage81en_HK
dc.identifier.epage86en_HK
dc.identifier.scopusauthoridGan, ZF=7102935242en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridShum, HY=7006094115en_HK

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