Fast Multi-View Face Trackingwith Pose Estimation
dc.contributor.author | Meynet, Julien | |
dc.contributor.author | Arsan, Taner | |
dc.contributor.author | Arsan, Taner | |
dc.contributor.author | Mota, Javier Cruz | |
dc.contributor.author | Thiran, Jean-Philippe Philippe H. | |
dc.date.accessioned | 2019-06-28T11:11:31Z | |
dc.date.available | 2019-06-28T11:11:31Z | |
dc.date.issued | 2008 | |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.description.abstract | In this paper a fast and an effective multi-view face tracking algorithm with head pose estimation is introduced. For modeling the face pose we employ a tree of boosted classifiers built using either Haar-like filters or Gauss filters. A first classifier extracts faces of any pose from the background. Then more specific classifiers discriminate between different poses. The tree of classifiers is trained by hierarchically sub-sampling the pose space. Finally Condensation algorithm is used for tracking the faces. Experiments show large improvements in terms of detection rate and processing speed compared to state-of-the-art algorithms. | en_US] |
dc.identifier.citationcount | 5 | |
dc.identifier.issn | 2219-5491 | en_US |
dc.identifier.issn | 2219-5491 | |
dc.identifier.scopus | 2-s2.0-84863758138 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/1613 | |
dc.institutionauthor | Arsan, Taner | en_US |
dc.language.iso | en | en_US |
dc.relation.journal | European Signal Processing Conference | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.scopus.citedbyCount | 5 | |
dc.title | Fast Multi-View Face Trackingwith Pose Estimation | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 7959ea6c-1b30-4fa0-9c40-6311259c0914 | |
relation.isAuthorOfPublication.latestForDiscovery | 7959ea6c-1b30-4fa0-9c40-6311259c0914 |
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