Rao-Blackwell parçacık süzgeci ile 3 boyutlu insan takibi
dc.contributor.author | Topçu, O. | |
dc.contributor.author | Orguner, U. | |
dc.contributor.author | Alatan, A. A. | |
dc.contributor.author | Ercan, Ali Özer | |
dc.date.accessioned | 2016-02-16T10:26:02Z | |
dc.date.available | 2016-02-16T10:26:02Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 978-1-4799-4874-1 | |
dc.identifier.issn | 2165-0608 | |
dc.identifier.uri | http://hdl.handle.net/10679/2551 | |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6830318 | |
dc.description | Due to copyright restrictions, the access to the full text of this article is only available via subscription. | |
dc.description.abstract | Visual tracking has an important place among computer vision applications. Visual tracking with particle filters is a well-known methodology. The performance of particle filters is dependent on efficient sampling of the state space, which in turn, is dependent on number of particles. In this paper, Rao-Blackwell technique is applied to particle filters to improve sampling efficiency. Both algorithms are applied to people tracking problem. Under the same circumstances, the resulting algorithm is demonstrated to perform better than the original algorithm via experiments on the PETS2009 benchmark dataset. | |
dc.language.iso | tur | en_US |
dc.publisher | IEEE | |
dc.relation.ispartof | Signal Processing and Communications Applications Conference (SIU), 2014 22nd | |
dc.rights | restrictedAccess | |
dc.title | Rao-Blackwell parçacık süzgeci ile 3 boyutlu insan takibi | en_US |
dc.title.alternative | 3D tracking of people with rao-blackwellized particle filters | |
dc.type | Conference paper | en_US |
dc.peerreviewed | yes | |
dc.publicationstatus | published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0003-1126-8259 & YÖK ID 35788) Ercan, Ali | |
dc.contributor.ozuauthor | Ercan, Ali Özer | |
dc.identifier.startpage | 670 | |
dc.identifier.endpage | 673 | |
dc.identifier.wos | WOS:000356351400147 | |
dc.identifier.doi | 10.1109/SIU.2014.6830318 | |
dc.subject.keywords | Visual tracking | |
dc.subject.keywords | Rao-Blackwellization | |
dc.subject.keywords | Marginalization | |
dc.subject.keywords | Occlusion | |
dc.subject.keywords | Particle filter | |
dc.subject.keywords | Multi-camera | |
dc.identifier.scopus | SCOPUS:2-s2.0-84903762691 | |
dc.contributor.authorMale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
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