Full metadata record
DC pole | Hodnota | Jazyk |
---|---|---|
dc.contributor.author | Gonzalez, Matilde | |
dc.contributor.author | Collet, Christophe | |
dc.contributor.editor | Skala, Václav | |
dc.date.accessioned | 2018-05-21T05:30:43Z | |
dc.date.available | 2018-05-21T05:30:43Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 377-384. | en |
dc.identifier.isbn | 978-80-86943-58-9 | |
dc.identifier.issn | 2464-4617 | |
dc.identifier.uri | wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf | |
dc.identifier.uri | http://hdl.handle.net/11025/29726 | |
dc.description.abstract | Robust real-time face tracking is an important and challenging task in computer vision applications. In this paper, we propose a novel particle filter algorithm to robustly track faces. Particle observations are computed by considering cue and appearance feature. Cue feature is used to identify skin regions, e.i. face and hands, while appearance is used to directly label targets. Normalized Cross Correlation (NCC) between an image template and particle samples is computed to robustly find the face among other skin regions. In other words, the image template is registered to a frame using particle filter to perform the optimization. Real-time is achieved by using integral images to compute image features. Evaluation results show the advantages and limitation of our approach. | en |
dc.format | 8 s. | cs |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Václav Skala - UNION Agency | en |
dc.relation.ispartofseries | WSCG '2016: short communications proceedings | en |
dc.rights | © Václav Skala - UNION Agency | cs |
dc.subject | sledování tváře | cs |
dc.subject | filtr částic | cs |
dc.subject | robustní sledování | cs |
dc.subject | okluze | cs |
dc.subject | model barevných a vzhledových částic | cs |
dc.title | Face tracking using a combination of colour and pattern matching based on particle filter | en |
dc.type | konferenční příspěvek | cs |
dc.type | conferenceObject | en |
dc.rights.access | openAccess | en |
dc.type.version | publishedVersion | en |
dc.subject.translated | face tracking | en |
dc.subject.translated | particule filter | en |
dc.subject.translated | robust tracking | en |
dc.subject.translated | occlusions | en |
dc.subject.translated | color and appearance particles model | en |
dc.type.status | Peer-reviewed | en |
Vyskytuje se v kolekcích: | WSCG '2016: Short Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
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Gonzalez.pdf | Plný text | 476,42 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/29726
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