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Conference Paper: Fast multiple motion video segmentation

TitleFast multiple motion video segmentation
Authors
Xu, DongLi, Xuelong
Issue Date2003
Citation
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, 2003, v. 2, p. 1710-1713 How to Cite?
DOI: http://dx.doi.org/10.1109/ICNNSP.2003.1281214
AbstractThis paper proposes a novel fast scheme to deal with multiple motion video, which contains more than one different motion objects. Change detection methods are employed under some essential prior knowledge, and the computing complexity is low. Experimental results show that the presented algorithm performs well for the multiple motion video, efficiently and effectively. © 2003 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/321426

 

DC FieldValueLanguage
dc.contributor.authorXu, Dong-
dc.contributor.authorLi, Xuelong-
dc.date.accessioned2022-11-03T02:18:50Z-
dc.date.available2022-11-03T02:18:50Z-
dc.date.issued2003-
dc.identifier.citationProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, 2003, v. 2, p. 1710-1713-
dc.identifier.urihttp://hdl.handle.net/10722/321426-
dc.description.abstractThis paper proposes a novel fast scheme to deal with multiple motion video, which contains more than one different motion objects. Change detection methods are employed under some essential prior knowledge, and the computing complexity is low. Experimental results show that the presented algorithm performs well for the multiple motion video, efficiently and effectively. © 2003 IEEE.-
dc.languageeng-
dc.relation.ispartofProceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03-
dc.titleFast multiple motion video segmentation-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICNNSP.2003.1281214-
dc.identifier.scopuseid_2-s2.0-78650077036-
dc.identifier.volume2-
dc.identifier.spage1710-
dc.identifier.epage1713-

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