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Conference Paper: Robust detection and tracking of multiple moving objects with 3d features by an uncalibrated monocular camera

TitleRobust detection and tracking of multiple moving objects with 3d features by an uncalibrated monocular camera
Authors
Issue Date2009
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2009, v. 5496 LNCS, p. 140-149 How to Cite?
AbstractThis paper presents an algorithm for detecting multiple moving objects in an uncalibrated image sequence by integrating their 2D and 3D information. The result describes the moving objects in terms of their number, relative position and motion. First, the objects are represented by image feature points, and the major group of point correspondences over two consecutive images is established by Random Sample Consensus (RANSAC). Then, their corresponding 3D points are reconstructed and clustering is performed on them to validate those belonging to the same object. This process is repeated until all objects are detected. This method is reliable on tracking multiple moving objects, even with partial occlusions and similar motions. Experiments on real image sequences are presented to validate the proposed algorithm. Applications of interest are video surveillance, augmented reality, robot navigation and scene recognition. © Springer-Verlag Berlin Heidelberg 2009.
DescriptionMIRAGE
Persistent Identifierhttp://hdl.handle.net/10722/62097
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorPoon, HSen_HK
dc.contributor.authorMai, Fen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorChesi, Gen_HK
dc.date.accessioned2010-07-13T03:53:50Z-
dc.date.available2010-07-13T03:53:50Z-
dc.date.issued2009en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2009, v. 5496 LNCS, p. 140-149en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/62097-
dc.descriptionMIRAGEen_HK
dc.description.abstractThis paper presents an algorithm for detecting multiple moving objects in an uncalibrated image sequence by integrating their 2D and 3D information. The result describes the moving objects in terms of their number, relative position and motion. First, the objects are represented by image feature points, and the major group of point correspondences over two consecutive images is established by Random Sample Consensus (RANSAC). Then, their corresponding 3D points are reconstructed and clustering is performed on them to validate those belonging to the same object. This process is repeated until all objects are detected. This method is reliable on tracking multiple moving objects, even with partial occlusions and similar motions. Experiments on real image sequences are presented to validate the proposed algorithm. Applications of interest are video surveillance, augmented reality, robot navigation and scene recognition. © Springer-Verlag Berlin Heidelberg 2009.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.titleRobust detection and tracking of multiple moving objects with 3d features by an uncalibrated monocular cameraen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailHung, YS:yshung@eee.hku.hken_HK
dc.identifier.emailChesi, G:chesi@eee.hku.hken_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.identifier.authorityChesi, G=rp00100en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-01811-4_13en_HK
dc.identifier.scopuseid_2-s2.0-67650272763en_HK
dc.identifier.hkuros156199en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67650272763&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5496 LNCSen_HK
dc.identifier.spage140en_HK
dc.identifier.epage149en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridPoon, HS=27068001700en_HK
dc.identifier.scopusauthoridMai, F=12804393400en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridChesi, G=7006328614en_HK

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