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Conference Paper: Multi-cue-based crowd segmentation in stereo vision

TitleMulti-cue-based crowd segmentation in stereo vision
Authors
KeywordsBlock-based Implicit Shape Model
Crowd segmentation
Disparity
Stereo vision
Issue Date2011
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), Seville, Spain, 29-31 August 2011. In Lecture Notes in Computer Science, 2011, v. 6854, pt. 1, p. 93-101 How to Cite?
AbstractPeople counting and human detection have always been important objectives in visual surveillance. With the decrease in the cost of stereo cameras, they can potentially be used to develop new algorithms and achieve better accuracy. This paper introduces a multi-cue-based method for individual person segmentation in stereo vision. Shape cues inside the crowd are explored with a block-based Implicit Shape Model. Depth cues are obtained from the disparity values of some foreground blobs, which are calculated concurrently during crowd segmentation. Crowd segmentation is therefore achieved with evidences from both shape and depth cues. The methods were evaluated on two video sequences. The results show that the segmentation performance has been improved when depth cues are considered. © 2011 Springer-Verlag.
DescriptionLNCS v. 6854 is Proceedings of the 14th International Conference, CAIP 2011
Persistent Identifierhttp://hdl.handle.net/10722/135857
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorHou, YLen_HK
dc.contributor.authorPang, GKHen_HK
dc.date.accessioned2011-07-27T01:49:42Z-
dc.date.available2011-07-27T01:49:42Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), Seville, Spain, 29-31 August 2011. In Lecture Notes in Computer Science, 2011, v. 6854, pt. 1, p. 93-101en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/135857-
dc.descriptionLNCS v. 6854 is Proceedings of the 14th International Conference, CAIP 2011-
dc.description.abstractPeople counting and human detection have always been important objectives in visual surveillance. With the decrease in the cost of stereo cameras, they can potentially be used to develop new algorithms and achieve better accuracy. This paper introduces a multi-cue-based method for individual person segmentation in stereo vision. Shape cues inside the crowd are explored with a block-based Implicit Shape Model. Depth cues are obtained from the disparity values of some foreground blobs, which are calculated concurrently during crowd segmentation. Crowd segmentation is therefore achieved with evidences from both shape and depth cues. The methods were evaluated on two video sequences. The results show that the segmentation performance has been improved when depth cues are considered. © 2011 Springer-Verlag.en_HK
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectBlock-based Implicit Shape Modelen_HK
dc.subjectCrowd segmentationen_HK
dc.subjectDisparityen_HK
dc.subjectStereo visionen_HK
dc.titleMulti-cue-based crowd segmentation in stereo visionen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_HK
dc.identifier.authorityPang, GKH=rp00162en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-23672-3_12en_HK
dc.identifier.scopuseid_2-s2.0-80052819819en_HK
dc.identifier.hkuros186797en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052819819&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume6854en_HK
dc.identifier.issuept. 1en_HK
dc.identifier.spage93en_HK
dc.identifier.epage101en_HK
dc.publisher.placeGermanyen_HK
dc.description.otherThe 14th International Conference on Computer Analysis of Images and Patterns (CAIP 2011), Seville, Spain, 29-31 August 2011. In Lecture Notes in Computer Science, 2011, v. 6854, pt. 1, p. 93-101-
dc.identifier.scopusauthoridHou, YL=25651509000en_HK
dc.identifier.scopusauthoridPang, GKH=7103393283en_HK

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